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IAP – what is in-app purchase?

The term “in-app purchases” refers to the ability of users to make purchases within a mobile application, such as acquiring additional content, or goods, or subscribing to services.

What is the meaning of in-app purchases? In-app purchases (IAPs) enable users to buy consumable or non-consumable items, as well as subscriptions, directly from within an app. These purchases are made using real currency, typically through the respective app store or an integrated payment system, rather than in-app currency or rewards.

As the majority of apps are now available for free download, app owners heavily rely on in-app purchases as a primary source of revenue. According to a report by data.ai, global consumer spending in apps was projected to reach $33.9 billion in the first quarter of 2023. Although revenues from in-app purchases are still lower compared to those generated from in-app advertising, they can significantly impact the overall financial performance of an app.

Different Types of In-App Purchases In-app purchases (IAPs) can be categorized into four distinct types. Let’s delve into each type for a better understanding.

Consumables in-app purchases

Consumables are products that can be used or consumed once and then repurchased multiple times.

Examples: In gaming apps, consumables often include extra lives or in-app currency like tokens. Dating apps may offer the purchase of additional swipes or profile boosts, while eCommerce apps allow users to order physical items.

Non-consumables in-app purchases

Non-consumables are products that are purchased once and remain permanently available within the app, with no expiration date.

Examples: In gaming apps, non-consumables could include unlocking a new level or purchasing specific features like upgraded tires for a racing car. Other examples include purchasing an e-book within a Kindle app or a bundle of workout videos in a fitness app.

Auto-renewal subscriptions (IAP) – in-app purchases

Auto-renewal subscriptions involve paying for products or services on a recurring basis, providing developers with a steady income stream.

Examples: Streaming services like Netflix and Spotify operate through auto-renewal subscriptions. Popular meditation apps or storage allowances from platforms like Apple or Google also utilize auto-renewal subscription models.

Non-auto-renewal subscriptions (IAP) – in-app purchases

Non-auto-renewal subscriptions run for a fixed period of time, requiring manual renewal once the subscription expires. These subscriptions often have a longer duration and higher cost compared to auto-renewal subscriptions.

Examples: Non-auto-renewal subscriptions are commonly used for magazines (print or digital), physical products (such as three months of wine or coffee deliveries), or access to specific sporting events through streaming platforms.

By offering various types of in-app purchases, app developers can provide users with different options for enhancing their app experience or accessing premium content while generating revenue through these transactions.

Pros and cons of in-app purchases

Pros of in-app purchases:

  1. Increased revenue: In-app purchases help generate revenue for app developers, especially since a large percentage of apps are available for free download.
  2. Alternative to ads: In-app purchases offer an alternative or complementary revenue source to in-app advertising, allowing users to purchase desired items instead of being solely reliant on ads.
  3. Improved engagement and loyalty: In-app purchases provide users with customization options, enhancing their app experience and increasing user engagement and loyalty.
  4. Customer insights: Purchase data obtained from in-app purchases provides valuable insights into customer preferences, pricing preferences, and opportunities for enhancing the user experience.
  5. Easy payment process: In-app purchases offer a convenient and user-friendly payment process, with small transactions often perceived as more manageable and less risky.

Cons of in-app purchases:

  1. Limited user base: Typically, only a small percentage of app users make in-app purchases, which can pose a challenge in terms of revenue generation. It may take time to accumulate significant revenue from these purchases.
  2. Finding the right balance: Determining the appropriate benefits to offer, pricing strategy and timing of approaching users for in-app purchases may require trial and error to strike the right balance and maximize conversions.
  3. Security issues: Easy payment processes can lead to accidental or fraudulent purchases. It is important to ensure the security of the payment system, closely monitor transactions and promptly address any issues that arise.

Understanding these pros and cons can help app developers make informed decisions and implement effective strategies to leverage in-app purchases as a revenue stream while mitigating potential challenges.

Payment mechanisms – methods of making IAP (in-app purchases)

  1. App Store payments (Apple App Store or Google Play): In this method, users connect their credit cards to the app store, allowing them to make purchases within the app with a simple click. The payment is processed through the app store’s payment system. It’s important to note that both Apple and Google charge a commission to the app owner for in-app transactions:
  • Apple charges a 30% commission on each in-app transaction (excluding physical purchases like ordering a taxi or a pizza). For subscriptions, the commission is 30% for the first year and reduces to 15% thereafter.
  • Google charges a 15% commission on auto-renewing subscriptions and the first $1 million in earnings per year, with earnings above that incurring a 30% commission.
  1. Direct in-app payments: Some apps offer direct payment options, allowing users to input their credit card details directly into the app itself. This enables users to make payments within the app without going through an app store. Examples include paying for a taxi ride on Uber, ordering a meal on GrubHub, or purchasing clothing on ASOS.
  2. Third-party payments: With third-party payments, users are no longer restricted to providing payment details within the app or app store. Instead, users are redirected to the app’s mobile site to complete their purchase using an external payment processor. Payment issues or refunds are handled through the third-party provider (e.g., PayPal or Stripe), rather than the app or app store.

It’s important for app developers to consider the payment mechanism that best suits their app’s needs and the preferences of their target users. Each method has its own advantages and considerations, such as commission fees, security, and user experience.

In-app purchases in iOS vs. Android

When comparing in-app purchases between iOS and Android, it is evident that iOS users tend to spend more per user despite Android’s larger market share of 72% in the operating system market.

One contributing factor is that Apple devices are generally more expensive, attracting affluent consumers in developed economies. Additionally, Apple’s access to the Chinese market, where Google Play is not available, further enhances its revenue potential.

Furthermore, Apple’s implementation of heightened privacy rules under ATT (App Tracking Transparency) has made it more challenging to target mobile advertising effectively. As a result, in-app purchases have become an attractive revenue stream for developers on the iOS platform.

In-app purchases and engagement metrics

The correlation between engagement and in-app purchases emphasizes the importance of measuring and focusing on in-app engagement metrics.

Consider a scenario in a dating app where a user actively swipes, likes, and messages on a daily basis. This high level of engagement indicates a likelihood of the user being open to purchasing additional features, such as more swipes, to continue connecting with others.

Engaged users also hold significance for apps utilizing in-app ads, as every view contributes to revenue generation, regardless of whether it leads to a purchase.

Several metrics can be employed to measure app engagement and optimize revenue:

DAU and MAU

  • DAU (Daily Active Users) represents the number of unique users engaging with the app on a daily basis.
  • MAU (Monthly Active Users) denotes the number of unique users engaging with the app within a month.
  • Analyzing the DAU-MAU stickiness ratio, which is the ratio of DAU to MAU, provides insights into user retention over an extended period.

 ARPDAU

  • ARPDAU (Average Revenue Per Daily Active User) measures the average revenue generated per user on a daily basis.
  • Monitoring ARPDAU helps assess user reactions to different campaigns or creatives and their impact on daily revenues.
  • Spike in revenues resulting from positive user engagement with a specific campaign can inform future campaign strategies, while a drop in engagement and revenues prompts investigation and optimization for improvement.

Average session length

  • Average session length provides valuable insights into the level of engagement your app offers.
  • Longer sessions indicate higher user engagement, increasing the potential for them to progress toward making in-app purchases.

Retention tates

  • User retention is a measure of long-term loyalty.
  • It’s important to differentiate between users who display intense activity for a short period and those who consistently engage with your app over an extended period.
  • Users with higher retention rates are more likely to make in-app purchases throughout their lifetime as app users.

By focusing on these engagement metrics, app developers can effectively gauge user behavior, optimize monetization strategies, and drive revenue growth through in-app purchases.

In-app purchase fraud

Unfortunately, the presence of money often attracts fraudsters, and in-app purchases are no exception. As a developer, it is crucial to remain vigilant even after a purchase is made.

Fraudsters employ various tactics, such as using stolen IDs and credit card details to make unauthorized purchases. They may also engage in deceptive practices, including faking payments or manipulating your app to gain access to paid content for free.

Cost-per-action (CPA) campaigns, which involve advertisers paying for specific actions like clicking on an ad that results in a purchase, are particularly susceptible to fraudulent activities due to the potential for generating high revenues. Additionally, subscription events in entertainment apps and gaming apps, especially in the social casino and hardcore genres, can attract fraudsters seeking monetary gain.

How to protect against in-app purchase fraud?

Safeguarding your app against fraud is essential to protect both your revenue and your users. Consider implementing the following measures:

  1. Backend data and logic: To enhance security, it is recommended to store sensitive data and logic on your backend infrastructure rather than bundling them within the app. This reduces vulnerability to hacking attempts and unauthorized access.
  2. Server-to-server notifications: Utilize server-to-server notifications to detect and flag any suspicious activity. These notifications can help identify potentially fraudulent transactions, allowing you to take prompt action to mitigate risks.
  3. Chargeback Monitoring: Monitor chargebacks, where users request to cancel or void a purchase, as they can indicate fraudulent behavior. While some chargebacks may be legitimate due to user errors, others may be indicative of scams or hacks. Ensure that all transactions are clearly labeled, and provide receipts for transparency and accountability.

By implementing these strategies and maintaining a proactive approach, you can strengthen your app’s defenses against in-app purchase fraud, safeguard your revenue streams, and provide a secure environment for your users.

How to increase in-app purchase revenue

  1. Offer rewards to boost engagement: Provide timely, relevant, and personalized rewards, deals, and discounts to keep users engaged and encourage purchases.
  2. Use rich in-app events for deeper insights: Track user actions such as level achievements, tutorial completion, invites, and social shares to understand user preferences and shape your marketing strategies.
  3. Remarket and re-engage: Re-engage existing users with reminders of what they’re missing out on and offer relevant incentives to entice them back.
  4. Personalize the experience: Create a personalized app experience by addressing users by name, allowing customization options, and tailoring messages to make them feel valued.
  5. Nudge at the right time: Deliver customized offers at the right moment, such as birthday discounts or reminders for abandoned cart items, to prompt users toward conversion.
  6. Focus motivation of users: Identify the characteristics and motivations of users who make in-app purchases and allocate your marketing spend accordingly.
  7. Don’t neglect free users: Provide a positive experience for non-paying users, as they may eventually become paying customers.

Key information about IAP (in-app purchase) to remember

  • In-app purchases can be consumables, non-consumables, or subscriptions and offer benefits such as revenue growth, engagement building, and customer insights.
  • In-app purchases can be made through app stores, directly in-app, or via third-party platforms.
  • Apple users spend more through in-app purchases, despite Android having a larger market share.
  • Engaged app users are more likely to make purchases, so it’s important to measure engagement metrics and optimize retention.
  • Prevent in-app purchase fraud by keeping sensitive data separate, monitoring transactions, and providing clear transaction records.
  • Increase in-app purchase revenue by focusing on users who are most likely to spend, offering a personalized experience, loyalty rewards, and customized offers to boost engagement.

ARPPU – what is average revenue per paying user and how is it calculated?

ARPPU, which stands for Average Revenue Per Paying User, is a crucial metric used by app marketers to determine the average amount of revenue generated by paying users and players within a specific timeframe.

Originally developed for subscription-based apps, ARPPU has become an essential tool for app marketers, particularly those involved in freemium games or heavily reliant on in-app purchases as their primary revenue sources. It serves as a means to gauge return on investment (ROI) accurately.

At its core, ARPPU is a formula employed to calculate the projected revenue from paying users over a designated period. It enables app marketers to gain insights into the financial contribution of specific customer segments, allowing them to focus on revenue generation without being influenced by the non-paying majority.

This metric holds significant importance, especially in categories like gaming, where paying users typically constitute only a small fraction of the overall user base. ARPPU empowers decision-making processes by providing valuable information about the most valuable customers, including the channels, networks, campaigns, and even creative strategies that attract them. Furthermore, ARPPU helps app marketers comprehend the characteristics of paying users, enabling them to target similar individuals through lookalike remarketing techniques.

Note: This isn’t to be confused with “ARPU” – the extra P for ‘Paying’ in ARPPU makes all the difference.

Calculation of ARPPU – how to calculate average revenue per paying user?

To calculate ARPPU, you can use the following formula:

ARPPU = total revenue (in time period X) / number of paying users (in time period X)

By dividing the total revenue generated within a given time period by the number of paying users, you can obtain the average revenue per paying user, which serves as a valuable performance indicator for app marketers.

It is important to consider the time period when analyzing Average Revenue Per Paying User (ARPPU) since monthly ARPPU and daily ARPPU can yield different results.

For instance, in monthly ARPPU, a user may make multiple payments throughout the month. However, if you are calculating the ARPPU for a specific day and that user did not make a purchase on that day, they will not be included in the calculation.

In the case of subscription-based businesses, the first step is to calculate Monthly Recurring Revenue (MRR), which serves as the numerator in the ARPPU calculation. When calculating MRR, it is crucial to include various user segments such as upgrades, existing paying users, new users who paid the full price, and new users who paid a discounted price (e.g., quarterly or annual upfront payment).

ARPPU for mobile games

When it comes to mobile games, the freemium model dominates the app market, relying on in-app purchases (IAP) and in-app advertising (IAA) to generate revenue.

In the gaming industry, a significant portion of revenue is derived from a small percentage of users, often ranging from 2% to 5%. Within this small percentage, there is an even smaller group of users who spend substantial amounts, typically through microtransactions. These users are commonly referred to as “whales,” akin to high rollers in real-life gambling.

Given this revenue structure, user segmentation becomes crucial as marketers need to identify and isolate these whales. This process also allows marketers to determine which acquisition network or channel was responsible for acquiring these valuable users, enabling them to focus their efforts on maximizing return on ad spend (ROAS).

Introducing an advanced measurement: Cohort ARPPU

The conventional method of calculating ARPPU, as described earlier, provides valuable insights for product managers, business executives, and marketers by considering all revenues generated within a specified date range, regardless of the acquisition date.

However, many marketers are interested in metrics based on cohort groups, which involve analyzing the revenue generated by users acquired during specific periods. For instance, they might want to compare the revenue generated by users acquired in May versus June.

To calculate Cohort ARPPU, you can utilize the following formula:

Total revenue generated in time period Y by users acquired in time period X / Total number of paying users acquired in time period X

Cohort analysis proves particularly useful in understanding user acquisition (UA) efforts.

For example, let’s suppose you implemented new messaging in May, resulting in an ARPPU of $15. In June, you reverted to the original messaging (without any other changes), and your ARPPU decreased to $12. This comparison indicates that the new messaging in May was more successful in attracting paying users compared to the original messaging in June.

It’s important to note that advanced ARPPU calculations based on cohort analysis are not yet an industry standard. However, cohort metrics offer exceptional value to marketers, allowing them to gain deeper insights into user behavior and acquisition strategies. Therefore, understanding your ARPPU through this cohort-based prism can provide valuable information for optimizing marketing efforts.

Comparing ARPPU to other common metrics

  • ARPPU, with its unique focus on paying users and their revenue generation, holds significant value, particularly for gaming apps. However, let’s compare it to some other popular measurement metrics to gain a broader perspective.
  • ARPPU vs. ARPU – as mentioned earlier, the key distinction between ARPPU and ARPU lies in the exclusion of non-paying users and revenue derived from advertising. Separating paying and non-paying users is crucial for identifying successes and areas that require optimization, as their in-app activities differ.
  • ARPPU vs. ARPDAU – Average Revenue Per Daily Active User (ARPDAU) is useful for testing different creatives, ad placements, or introducing new ad formats to observe how these changes impact revenue on a day-to-day basis. In contrast, ARPPU examines revenue over a longer timeframe, such as on a weekly, monthly, or quarterly basis.
  • ARPPU vs. LTV LTV (Lifetime Value) – takes into account the value of a user from acquisition until churn, spanning a range of time, whether it’s two weeks or two years. ARPPU, on the other hand, focuses on a specific time period, such as 30-day ARPPU or 60-day ARPPU.

It can become confusing when a user installs the app, makes a purchase, and churns within the same time frame as the ARPPU calculation. In such cases, ARPPU and LTV can be used interchangeably.

By understanding the nuances and differences between these metrics, app marketers can gain comprehensive insights into user behavior, revenue generation, and long-term user value. Each metric serves a unique purpose and contributes to a holistic understanding of app performance and monetization strategies.

Strategies to increase your ARPPU

Your Average Revenue Per Paying User (ARPPU) reflects your business’s monetization strategy and the willingness of users to pay for your service. Here are some approaches to growing your ARPPU:

  1. Converting non-payers into payers: One effective way to increase your ARPPU is by converting active non-paying users into paying customers. Offer incentives, such as special discounts or offers for first-time purchases, to encourage users to make their first payment. Additionally, incentivize occasional paying users to become loyal customers by inviting them to become brand ambassadors or influencers, or by providing exclusive perks and discounts. In the case of a gaming app, consider inviting these players to join tournaments as a way to incentivize their engagement.
  2. Celebrating your “whales”: Acknowledge and appreciate your highest-spending users, often referred to as “whales,” to foster their loyalty. Recognize their achievements through ranking statuses or provide them with exclusive perks and rewards to incentivize continued purchasing. Additionally, actively seek feedback from these users to involve them in the product conversation, making them feel valued and providing valuable insights.
  3. Adjusting pricing models: Gradually adjusting your prices can help increase your ARPPU, but be mindful of potential churn that may result from price changes. Keep in mind that although your ARPPU may increase, revenue will be divided among fewer users. When raising prices, transparently communicate the added value and extra services that justify the price change. This can also help identify premium features that users are willing to pay for. Additionally, experiment with different bundles tailored to different user profiles to attract varying segments.
  4. Introducing new advertising formats: Experiment with different advertising formats, such as rewarded videos or playable ads, to increase engagement and, subsequently, your conversion rate of non-paying to paying users. Vary the placement of ads and test whether interstitial ads are more effective than banner ads. In the case of apps, consider incorporating native content that seamlessly blends into the app’s user experience, minimizing disruption and enhancing conversion rates. Programmatic advertising, which automates the buying and selling of online ads, can help streamline the process and create a smoother user experience. Utilize targeting tactics to ensure the delivery of the right advertising format to the right user at the right time, minimizing disruption and maximizing effectiveness.

By implementing these strategies, you can optimize your monetization efforts and drive growth in your ARPPU.

Key information about ARPPU to remember

  • ARPPU is a crucial metric for mobile marketers, especially for apps that are free to install and have a low proportion of paying users.
  • Understanding the characteristics and spending habits of paying users enables informed decision-making regarding effective campaigns to engage and re-engage with high-value users.
  • Differentiate between ARPPU and ARPU, as the former focuses on paying users while the latter considers all active users.
  • Prioritize the analysis of monetizing users since they are the most important segment for revenue generation.
  • Utilize cohort-based segmentation for advanced ARPPU measurement, which aids in understanding user acquisition efforts.
  • For gaming apps, identify and cater to “whales,” the users who spend the most. Celebrate and incentivize them to drive a positive return on investment (ROI).
  • When changing pricing structures, anticipate some customer loss. However, transparency and demonstrating the added value of the price increase can help mitigate the churn rate.

ATT – App Tracking Transparency – what is it?

App Tracking Transparency (ATT) is Apple’s privacy framework that requires iOS apps to obtain user consent before sharing their data. It introduced a popup where users can choose to allow or deny tracking.

What is the purpose of ATT (App Tracking Transparency)?

ATT was implemented on Apple devices with the release of iOS 14 and enforced after iOS 14.5. Its objective is to restrict the amount of user data that app developers can share with third-party companies, significantly impacting the mobile advertising industry.

Previously, iPhone users were automatically opted-in for data tracking, unless they actively opted-out through the Limit Ad Tracking setting. This allowed developers and marketers to access user-level data and attribution through the IDFA (iOS advertising identifier).

With ATT, users must actively opt-in to data tracking through the in-app popup. As a majority of users choose to opt out, it poses a challenge for advertisers, publishers, and developers to target specific audiences and optimize campaigns based on user-level data.

What does ATT (App Tracking Transparency) look like?

The core component of ATT is the in-app popup, known as the ATT prompt, which asks users if they want to allow the app to track their activity across other apps and websites. Users have the option to opt-out or opt in, with opt-out being the default setting. While the wording of the prompt cannot be changed, there are strategies to improve opt-in rates.

Note that apps are not obligated to display the ATT prompt since it is opt-in. If developers choose not to show it, they will not gather user-level data in return. However, the prompt provides an opportunity for apps to gather data that can enhance performance and inform benchmarking and extrapolations. This is why most apps (around 70%) choose to display the prompt.

The ATT (App Tracking Transparency) prompt is not a requirement for apps

The display of the ATT prompt is optional for apps. Developers have the choice of whether to show it or not, as it is an opt-in feature. If they decide not to show the prompt, they will not gather user-level data in return. The ATT prompt presents an opportunity for apps to collect user-level data, which can enhance performance and provide insights for benchmarking and extrapolations. This is why the majority of apps (approximately 70%) choose to display the prompt.

How did things work before the introduction of ATT (App Tracking Transparency)?

Before the introduction of ATT, app developers, and publishers had access to a vast amount of data. Apple operated under the Limited Ad Tracking (LAT) model, which allowed users to opt out of personalized advertising.

Despite the option to opt-out, the majority of users (around 70%) did not exercise this choice. As a result, publishers and advertisers were able to sell and share user data with other companies, apps, and advertisers, enabling highly targeted ad campaigns based on user behaviors, demographics, and interests. This approach optimized performance but compromised user privacy.

What impact does ATT (App Tracking Transparency) have on advertisers?

The transition from an opt-out to an opt-in model on iOS has resulted in decreased tracking rates, but global adoption of ATT stands at a respectable 46%. However, this figure only represents users who have actually encountered the prompt. The main challenge for advertisers lies in the low IDFA attribution rate.

Adapting to the new data landscape

User-level data and attribution have played a crucial role in optimizing ad campaigns. However, the shift to aggregate-level data has made it challenging for advertisers and publishers who were accustomed to working with granularly targeted campaigns. This lack of detailed data has had an impact on their advertising strategies.

It’s important to note that the industry is still undergoing a transition, and as we adapt to the new reality of aggregate-level data insights, measurement capabilities are expected to be largely retained while innovating in this space.

Missing out on a significant user cohort

One major challenge arises from the large cohort of users who cannot be tracked. Users who previously opted out of personalized advertising under the Limited Ad Tracking (LAT) model are now automatically labeled as “denied” to advertisers. This cohort represents over 30% of global iOS devices. Additionally, approximately 14% of Apple users utilize restricted devices, which are used by underage or unknown-age users and for educational purposes. Some corporate-owned devices also limit tracking capabilities.

User experience concerns

Certain app developers have expressed concerns regarding the wording of the ATT prompt (“allow the app to track your activity across other companies’ apps and websites”) and its potential negative impact on user experience. The perceived negative language may increase churn and hinder the overall user experience.

Friction from the dual opt-in process

Another significant factor contributing to low IDFA attribution rates, despite relatively high ATT opt-in rates, is the dual opt-in requirement. When advertising on different apps, users need to opt into tracking twice: once from the advertiser’s side and once from the publisher’s side. This dual opt-in process adds friction and complexity to the attribution loop, affecting the overall IDFA attribution rates.

How to increase ATT opt-in rates

Increasing opt-in rates for App Tracking Transparency (ATT) is crucial for advertisers looking to gather user data. Here are some strategies to help boost opt-in rates:

  1. Build trust: Trust is a key factor in users’ decision to opt-in. If your app or brand is well-known or trusted, users are more likely to feel comfortable sharing their data. For new apps, focus on creating a safe and trustworthy user experience.
  2. Experiment with a pre-prompt: Consider using a pre-prompt, a popup that appears before the ATT prompt, to educate users about the benefits of personalized advertising. Customize the messaging to highlight how it enhances their app experience. Keep the message concise, genuine, and compelling.
  3. Prompt strategy: Determine when and why to show the prompt based on user behavior and the value your app provides. Here are three possible stages to consider:a. Early funnel: Display the ATT prompt during the first app launch, first session, early level completion, or when users return to the app for the first time. This approach reaches a larger audience but may feel intrusive to new users.b. Mid funnel: Trigger the ATT prompt after specific actions or milestones within the app, such as account creation or when users experience the first value moment. Capitalize on positive user experiences to increase opt-in rates.

    c. Bottom funnel: Target users who have already made in-app purchases or engaged deeply with the app. This smaller audience segment is highly trusted and more likely to opt-in.

  4. Customize your approach: Remember that there is no one-size-fits-all solution. The optimal prompt strategy depends on your objectives, target audience, and familiarity with your brand or app. Consider the tradeoff between audience size, campaign optimization, and opt-in rates unique to your situation.

By implementing these strategies and continually refining your approach, you can increase the likelihood of users opting into ATT, allowing you to gather valuable data while respecting user privacy preferences.

What about Android? Following Apple’s significant announcement, Google introduced increased privacy measures for all Android devices starting with Android 12 and future versions.

Similar to Apple’s previous model, Google’s update allows users to opt out of personalized advertising.

With Google’s plans to deprecate cookies in 2023, it is expected that Google will also restrict user-level data sharing through its Google Advertising ID (GAID), which is Android’s equivalent of IDFA. However, the restrictions are not anticipated to be as stringent as Apple’s policy.

Good to know: Practical tips for users Now that you understand the implications and significance of App Tracking Transparency (ATT), let’s discuss what this means for you as a user. For iPhone, iPad, and tvOS users, you don’t need to take any action to opt out of ad tracking.

Apple has updated its informational guide called “Day in the Life of Your Data,” which outlines the benefits of ATT for everyday users.

How to ensure ATT is enabled on your device On your iPhone, open Settings, then select Privacy. You will see an orange icon labeled Tracking. Tap on it, and you will find a toggle switch that reads “Allow Apps to Request to Track.”

The master toggle enables or disables app tracking for all apps. You can also individually select the apps for which you want to allow tracking.

How to modify a specific app tracking decision If you change your mind, it’s simple to prevent the ATT popup from appearing on your iOS or iPad OS devices. Just follow the same steps mentioned above: go to Settings, Privacy, and then Tracking. Toggle the tracking switch on or off to make the desired changes.

Key information about ATT (App Tracking Transparency) to remember

  • App Tracking Transparency (ATT) requires iOS 14.5+ apps to seek permission through a popup before sharing user data.
  • Prior to Apple’s privacy push, app developers and publishers had access to substantial amounts of user-level data.
  • ATT opt-in rates are relatively high, but there are challenges with attribution and campaign measurement due to dual opt-in requirements and user experience concerns.
  • To increase opt-in rates, app developers should identify the most appropriate funnel stage for showing the prompt.
  • Google is also taking steps to enhance privacy on Android devices, allowing users to opt out of data tracking starting with Android 12 and future versions.

Push notifications

Push notifications are clickable messages sent by an app to your mobile device or desktop. They are designed to capture user attention and deliver time-sensitive or important information, even when the app is not open.

What are push notifications?

Push notifications, also known as server push notifications, are short text messages sent from apps to mobile devices. They resemble SMS messages or mobile alerts and can appear as full-screen messages or top/bottom banners, depending on their function or purpose.

Introduced in 2009 for iOS and Android devices, push notifications have gained significant popularity. They serve as a rapid communication channel for conveying essential information or limited-time offers. Since users don’t need to actively use the app or have their mobile phones open, app developers can send push notifications at any time.

Anatomy of push notifications: Push notifications consist of several elements:

  1. Icon: Must be in PNG, JPG, or non-animated GIF format. Once set, it cannot be changed for individual messages.
  2. Title: A short and attention-grabbing one-liner.
  3. Content: A concise summary of the offer, crafted to entice the user to take the intended action.
  4. Call-to-action (CTA): The desired action the user should take, such as “Watch now” or “Reserve your spot!”

Push notifications should ideally be visually appealing and engaging messages that motivate users to take action, even when they are not actively using your app.

It is important to note that the title and content should be within the recommended character limit, and if desired, you can also include a URL or image.

The importance of sending an opt-in message

The opt-in message serves as your initial notification to users, seeking explicit permission to send them push notifications. It is crucial to effectively communicate the value of your push notifications and ask users if they would like to continue receiving them in the future. By adding users who agree as subscribers, you can start engaging with them and encourage their return to your app.

Why give users the choice to “opt-in”?

Providing users with the choice to opt-in to receive push notifications is essential for building trust. Brands that seek approval before sending any form of brand communication are more likely to be trusted by users. By customizing your opt-in message to clearly highlight the benefits for users, you increase the chances of gaining their approval easily.

Push Notifications vs. SMS Messages Push notifications and SMS messages are both effective marketing tools, but they have distinct differences:

  • Audience: Push notifications target app users exclusively, while SMS messages are for anyone who has opted-in to receive them.
  • Delivery: Users need to install the app to receive push notifications, whereas they have to send a specific phrase to a specific number to officially opt-in for text messages.
  • Intent: Push notifications are primarily promotional, educational, or location-based, whereas SMS messages are transactional and primarily used to convey urgent information.

For example, a push notification could announce a surprise sale on footwear, while an SMS message would be ideal for providing an update on the delivery of the footwear.

In-app notifications vs. push notifications

In-app notifications and push notifications are two different types of messages used by app creators to engage users, but they have distinct characteristics:

  • In-app notifications: In-app notifications are short messages displayed within the app to draw attention to new features, highlight special offers, or onboard new users. They are specifically designed to guide users while they are actively using the app.
  • Push notifications: Push notifications, on the other hand, are messages sent to users’ devices from outside the app. They aim to bring users back to the app by providing timely updates or encouraging them to take action. Push notifications work even when the app is not open.

Key differences to note:

  • Working principle: Push notifications can be received and acted upon at any time, while in-app notifications require the app to be open for users to see and engage with them.
  • Purpose: Push notifications are intended to re-engage potentially inactive users by enticing them to return to the app. In-app notifications, on the other hand, serve as triggered communication to guide users within the app itself.
  • Audience: Push notifications target users who may not be actively using the app at the moment, aiming to bring them back. In-app notifications focus on the active audience who are already using the app.
  • Notification disablement: Users have the ability to disable push notifications, but they cannot turn off in-app notifications since they are displayed within the app itself.

A typical example of a push notification would be sending an app update notification, while an in-app notification might provide users with recommendations on how to use a specific feature.

How do push notifications work?

Understanding the working of push notifications involves three key components:

  • Operating system push notification service (OSPNS): Each mobile operating system (e.g., iOS and Android) has its own push notification service.
  • App publisher: App publishers enable their app with the appropriate OSPNS and upload it to the app store.
  • Client app: The client app is an OS-specific application installed on users’ devices that receives and displays push notifications.

The process of push notifications can be divided into four phases, with each component playing a vital role in delivering the notifications to users’ devices.

Phase 1: OSPN registration

  1. The app publisher completes the registration process with the OSPNs.
  2. The OSPN provides the app publisher with an application programming interface (API) to facilitate communication with the service.
  3. The app publisher integrates the OSPN-specific software development kit (SDK) into the app.
  4. The app publisher submits the app to the respective app store for distribution.

Phase 2: App installation

  1. Users visit the app store for their operating system and install the app.
  2. Upon opening the app, unique identifiers (IDs) for both the app and the device are registered with the OSPN.
  3. The OSPN sends the IDs back to the app and shares them with the app publisher.
  4. The app publisher stores the registration details, including the IDs, for future reference.

Phase 3: Sending push notifications

  1. The app publisher composes push notifications manually using a message composer user interface (UI) or sets up automated messages via the API.
  2. The app publisher defines the target audience for the push notifications and decides whether to send them immediately or schedule them for later. Note: To send targeted and personalized push notifications, user identification data and a specialized interface for writing, targeting, and sending messages are required.

Phase 4: Opting-in

Each OSPN has its own opt-in process.

For example, iOS follows an explicit opt-in model where users need to grant permission to receive push notifications. In contrast, Android automatically opts users in to receive push notifications, requiring a manual opt-out.

Once users agree to receive push notifications, you can engage with them and encourage their interaction with your app.

Types of push notifications

Push notifications come in various types, including mobile app push notifications, web push notifications, desktop push notifications, and wearable device push notifications. Let’s explore each type in more detail:

  1. Mobile app push notifications: These are the most common type of push notifications triggered by an installed app on a user’s mobile device. Mobile app push notifications can be displayed as traditional alerts that stay on the screen until manually dismissed, or they can be styled as banners or badges.
    • Banner notifications: Brief messages that pop up on the screen and disappear shortly after. They may contain a preview of a message or time-sensitive alerts.
    • Badge notifications: Red badges are displayed on the app’s icon, usually indicating the number of unread notifications.

Appearance may differ between iOS and Android devices, with iOS notifications appearing on the lock screen and then moving to the Notification Center, while Android users have more control over notification settings.

  1. Web push notifications: Web push notifications are delivered to users through their desktop or mobile web browsers, regardless of whether they are actively browsing the website. These notifications slide in at the top or bottom right-hand side of the desktop screen and are similar to mobile app push notifications on the mobile web.

Marketers utilize web push notifications to increase website engagement and drive visitors back to their websites, leading to improved conversions.

  1. Desktop push notifications: Desktop push notifications are specific to installed apps on users’ desktop devices. They are used to promote customer engagement and can only be sent to users who have downloaded the corresponding app on their desktops.
  2. Wearable device push notifications: Push notifications for wearable devices are designed to be concise due to the smaller screen size of wearables. Users can adjust notification settings for their wearables, choosing to receive notifications from specific apps while disabling others.

These different types of push notifications provide opportunities for businesses to engage with their users across various platforms and devices, delivering timely and relevant information.

Types of push notification campaigns

Push notifications can be utilized in various campaigns to keep users engaged and interested. Here are different types of push notification campaigns:

  1. Time-bound push notifications: Send friendly reminders for time-sensitive events to create a sense of urgency. Examples include limited offers, exclusive previews, and flash sales.
  2. Reminder push notifications: Remind users about important moments that add value to their lives. Examples include reminders to meditate or set an alarm for their morning run.
  3. Triggered push notifications: Design campaigns based on users’ real-time behavior in the app. For example, send a congratulatory notification to users who have been using your app for seven consecutive days.
  4. Transactional push notifications: Update users on the latest status of their transactions. Examples include reminders for upcoming bill payments or order status updates.
  5. Abandoned cart push notifications: Retarget users who have left items in their carts and encourage them to complete the purchase. Examples include messages like “Hey, your favorites in your cart are now on sale. Get them today!”
  6. Rich push notifications: Engage users by including images, audio, videos, and interactive elements. Examples include sending weather updates or price alerts.

By utilizing these different types of push notification campaigns, you can effectively engage your audience and drive them back to your app or website.

What are push notifications used for?

Push notifications serve various purposes and provide multiple benefits to businesses. Here are the different ways push notifications are utilized:

  1. Customer engagement and retention: Push notifications keep users engaged with personalized offers, reminders, and relevant notifications, ensuring your app remains top of mind. They also contribute to retaining new customers, with onboarding notifications resulting in increased app retention rates.
  2. Action-based marketing: Push notifications provide a channel for users to take specific actions such as checking out abandoned carts or completing app onboarding. They serve as timely reminders to re-engage with the app or website. Effective use of push notifications, through segmentation and data-driven strategies, can enhance mobile marketing efforts and reduce customer churn.
  3. Identity authentication: Push notifications offer a convenient and secure form of authentication. Industries like healthcare and online banking utilize push notifications as an additional authentication factor before granting access to the app or sensitive data.
  4. Civic communication: Utility push notifications have seen increased user engagement, with 37% of users actively interacting with them. Local government bodies and utility agencies leverage push notifications to provide timely updates and urgent news, such as local government updates, safety alerts, weather updates, and power outage notifications.
  5. Connected user experience (UX): Push notifications help bridge the gap between online and offline channels, enhancing the overall user experience. Real-time transactional notifications keep users informed about their purchases, creating a seamless omnichannel experience and reducing friction along the customer journey.

By utilizing push notifications effectively, businesses can boost customer engagement, retention, and loyalty, drive conversions, and scale their operations.

The benefits of push notifications

Push notifications offer a range of valuable benefits that can enhance your communication and marketing strategies. Here are the key advantages of using push notifications:

  1. Reach users anytime, anywhere: Push notifications provide immediate distribution, allowing you to connect with users wherever they are. This helps you cut through the noise and stand out from the competition.
  2. Engage users with highly personalized content: Push notifications are highly engaging channels that can be scaled to increase brand awareness, customer attention, and conversion rates. They allow for personalized communication that resonates with users, such as sending tailored reminders or timely updates based on their preferences.
  3. Drive traffic: Push notifications help drive traffic to your mobile app or website, ensuring continuous user engagement with your content. By sending alerts and updates, you can encourage users to visit your platform and explore new offerings. This can lead to increased site traffic, reduced bounce rates, and longer session durations.
  4. Create monetization opportunities: Push notifications offer guaranteed impressions as they appear directly on users’ screens. This makes them an effective monetization tool that can generate revenue and provide value to advertising partners. For example, partnering with an apparel brand to sponsor push notifications on a shopping app can promote special offers or new products to target audiences.
  5. Maintain a positive user experience: It is important to note that 75% of customers are open to relevant push notifications. By ensuring the content of your push notifications remains valuable and aligned with users’ interests, you can maintain a positive user experience without compromising on monetization efforts.

By leveraging the benefits of push notifications, you can effectively engage users, drive traffic, and create valuable monetization opportunities while maintaining a positive user experience.

Push notification best practices and strategies To enhance the effectiveness of your push notifications, it’s important to follow key strategies and best practices. Here are some recommendations:

  1. Create compelling content: Craft engaging and persuasive copy for your push notifications. Address the questions and needs of your target audience, use clear and concise language, and include compelling calls to action. Creating a sense of urgency or exclusivity can also drive user action.
  2. Use social proof: Include links to your website or social media platforms to provide social proof of your app’s value. Highlight positive feedback from satisfied users to build trust and encourage others to join your community.
  3. Segment and customize your push notifications whenever possible: Personalize your push notifications by segmenting your user base and sending targeted messages based on user behavior and preferences. Conduct A/B testing to determine which types of notifications resonate best with your audience and align with your business goals.
  4. Optimize opt-in and opt-out options: Respect users’ preferences by providing easy-to-use opt-in and opt-out options. Clearly communicate the value of your push notifications in your opt-in messages to generate interest. This allows you to focus on engaging users who are genuinely interested and more likely to convert.

Common push notification mistakes to avoid

  1. Sending too many push notifications: Quality matters more than quantity. Be selective with the messages you send and avoid overwhelming users with excessive notifications. Find the right frequency for your specific case and conduct A/B tests to determine optimal notification frequency.
  2. Not personalizing notifications: Tailor your content to individual users by segmenting your subscriber base and personalizing messages based on their behavior and characteristics. This ensures that your notifications are relevant and valuable to each user.
  3. Skipping onboarding notifications: Use push notifications to guide new users through your app or website. Send onboarding notifications at different intervals to help users explore and understand the features of your platform, increasing engagement and retention.
  4. Sending notifications manually: Automate your push notification campaigns to save time and improve user experience. Schedule messages for specific dates and times to maximize engagement and minimize friction between users and your campaign.
  5. Failing to track the right metrics: Look beyond click rates and consider other key performance indicators (KPIs) such as form completion, free trial signups, and purchases. Measure how many of these actions are driven by push notifications to assess their impact on your overall goals.

By following these best practices and avoiding common mistakes, you can optimize your push notification campaigns for greater engagement and effectiveness.

But to make sure that your push notification campaigns are successful, you need to monitor and analyze all key metrics, which are…

Push notifications performance metrics When tracking the performance of your push notifications, it’s important to monitor specific metrics to assess their effectiveness. Here are the key metrics you should consider:

  1. Opt-in rate: This metric measures the percentage of users who subscribe to your web or mobile app push notifications. It helps you understand how well your opt-in message resonates with your audience and allows you to make adjustments for better results.
  2. View rate: The view rate indicates the percentage of users who saw your push notification out of the total number of recipients. While viewing is not the same as clicking, a high view rate suggests that your notifications are capturing users’ attention. If the view rate is low, consider refining your notifications using best practices.
  3. Click rate: The click rate, or click-through rate (CTR), measures the percentage of users who clicked on your push notification to engage with your content. Aim for a CTR of at least 28%, although average rates vary by industry. A higher click rate indicates greater user interest and engagement.
  4. Push notification revenue: If your marketing goal is to drive revenue, it’s important to track how much revenue each push notification generates, especially for e-commerce apps or websites. This metric helps you assess the financial impact of your push notification campaigns.
  5. Opt-out rate: The opt-out rate shows the percentage of users who unsubscribe from your push notifications. Monitoring this metric helps you evaluate the effectiveness of your content and the timing of your campaigns. While some unsubscribes are natural, focus on minimizing the opt-out rate if it becomes excessively high.

Key information about push notifications to remember

  • Push notifications are effective for conveying time-sensitive and important information to users’ mobile devices.
  • Obtaining explicit user consent through an opt-in process is essential for push notification campaigns.
  • Sending too many or non-personalized notifications can lead to higher opt-out rates.
  • Automating push notification campaigns can improve engagement and efficiency.
  • Opt-in rate, view rate, click rate, revenue, and opt-out rate are valuable metrics for evaluating the performance and success of your push notification campaigns.

Introduction to Google Analytics 4

Google Analytics 4 (GA4), previously known as App + Web properties, is the latest upgrade to Google’s renowned web analytics service. Often heralded as the “analytics of the future,” GA4 significantly enhances the user experience for both websites and apps, negating the need for a separate Google Analytics for Firebase property to analyze mobile app data.

In contrast to Universal Analytics (UA), which provides fragmented insights into the user journey across varied views, GA4 offers a comprehensive view of the user’s journey throughout the entire sales funnel.

The upcoming sections delve into the distinctions between GA4 and Universal Analytics—now retrospectively referred to as Google Analytics 3 under the updated terminology—as well as the long-term advantages that GA4 can offer to your business.

Google Analytics 4 vs. Universal Analytics – comparison

Google Analytics 4 aims to address some of the concerns raised in Universal Analytics and introduce new concepts that are both scalable and adaptable. Here are the key differences:

Data Processing: The Shift from Session to Event-Based Model

Universal Analytics used a session-based data model, wherein data is categorized based on a user’s engagement within a specified time frame. This results in a structurally-complex and computationally-expensive model to manage. As many analysts have likely experienced, trying to merge unstructured or semi-structured data with structured data can be difficult in UA, especially with the consistent increase in data volume. Additionally, there is a recurring requirement to efficiently organize, store, and query vast amounts of data without losing any details.

Google Analytics 4 tackles this issue by implementing an event-based schema approach where every interaction is treated as an event. Consequently, GA4 processes each user’s event as a unique model with its specific parameters, ensuring its database is flexible, scalable, and remarkably swift during querying.

This presents a notable schema divergence between Google Analytics 4 (employing a user-centric event model) and Universal Analytics (utilizing a session model).

Defining audiences

Google Analytics 4 provides expanded options for defining audiences, including the use of “User ID” from your CRM. If User IDs aren’t being captured, enabling Google Signals allows the utilization of anonymous user information gathered from users logged into Google platforms. Audience definition optimizes the potential of remarketing. When Google Analytics 4 supplies data to the Google Marketing Platform, Google users with enabled Ads Personalization can be targeted with remarketing ads across various devices.

Specifications of identity reports

Universal Analytics offers limited cross-device and platform reporting. This is only available in views enabled with User ID, using the User ID to create cross-device reports. Some Google Signal reports are available in non-user ID views, but these reports are relatively isolated in Universal Analytics.

Google Analytics 4, on the other hand, is a genuinely cross-device property that offers user-centric reporting. It integrates traditional User ID, Google Signals data, and Device ID, making this information accessible in all reports. This data can also be de-duplicated to view a singular user journey.

With Google Analytics 4, you can answer user-related questions regardless of the platform used. For instance, “How much revenue was generated by a user, regardless of the device category?”

Custom GA tracking

In Universal Analytics, custom dimensions serve as additional layers on standard reporting, rather than core dimensions driving the analysis. Google Analytics 4 alters this approach. In GA4’s analysis hub, custom metrics are equally considered alongside standard metrics for reporting and analysis. Moreover, GA4 automatically records extra events, particularly in apps.

The user interface for new reporting

Universal Analytics prearranges data into some preset visualizations referred to as standard reports. But, if you have more specific business needs, you can craft custom reports. One major drawback in Universal Analytics is that groups of dimensions and metrics for custom reports must share the same scope, which limits their adaptability and usability. This constraint nudges users to concentrate more on key performance indicators (KPIs) and reporting rather than thorough analysis.

Google mitigates some of these reporting issues in Google Analytics 4 by incorporating just a few standard reports. The details are distilled down to summary cards or overviews offering a single insight about your website or mobile app. It’s now simpler to pinpoint users at each phase of their purchasing journey, and the analysis hub feature allows you to construct personalized custom reports and analysis.

It’s worth mentioning that GA4’s analysis hub and reporting user interface are fundamentally driven by machine learning to generate valuable insights for your business. The new GA4 property empowers analysts to focus on inquiries rather than merely reporting.

Screenshot showing some of the simplified reports in Google Analytics 4.

Here are several streamlined reports in Google Analytics 4 which are easy to use:

  • Life Cycle Reports – these reports assist in examining data corresponding to the stage of the purchasing journey your customers are currently in.
  • User Reports – these offer insights into the demographic details of your users and the technologies they utilize to browse your website.
  • Events Reports – these reports display information regarding the default automatic and/or custom tracking configured on your website or mobile app. They also reveal the frequency of these user actions. Furthermore, they provide valuable insights into the conversions that you’ve identified as crucial to your business.

Advantages of the innovative Google Analytics 4 event-modeled properties

Google Analytics 4 is constructed using state-of-the-art technologies, like machine learning algorithms, offering the following benefits:

Flexibility and data-informed choices – with rapid advancements in technology, issues related to user privacy inevitably arise.  The machine learning algorithms of GA4 remedy data voids observed in previous analytics platforms because of cookie limitations. Consequently, you obtain intelligent insights spanning devices and platforms that more precisely portray your customers and assist in accomplishing your marketing objectives.

Scalability – with the availability of Google Signals and user ID features (sourced from your CRM), GA4 enables you to delve deeper into your users’ journey. In essence, it allows you to visualize your KPIs at a consolidated or de-duplicated level across multiple devices and platforms.

Streamlined, structured, and integrated reporting – the incorporation of data streams permits the merging of app or website data into a singular Google Analytics 4 property, providing a comprehensive view of your business. The reports are also less intimidating and more user-friendly, making it straightforward to uncover insights by customer stage in the purchasing life cycle and/or across devices and platforms.

User properties – these resemble user-scoped dimensions and exist alongside event parameters/custom dimensions and metrics, but are defined slightly differently (particularly with apps). In GA4, they are employed to depict segments of your user base, with some being collected automatically. You also have the capacity to generate your own unique user properties (up to 25 for now) and utilize them in your report.

Metrics and dimensions in GA4 – GA4 introduce fresh metrics and dimensions that can enhance your analytical scope. You now have the capability to identify potential revenue from a specific user group. Furthermore, by understanding the churn probability, you can strategically direct your marketing budget toward retaining customers.

GA4 InfoTrust new eCommerce and Predicitive Metrics in analysis hub

The conclusion of Google Analytics 4 introduction

Evidently, Google Analytics 4 brings substantial benefits to your business. Here’s how:

  1. The application of machine learning offers more relevant and impactful insights for your business.
  2. It offers a user-centric reporting interface that is straightforward, allowing you to track the complete user journey at any stage of the marketing funnel.
  3. The event-based data model enables scalability, and flexibility, and enhances the user experience.

If you’re already a Google Analytics user, it’s recommended to set up a Google Analytics 4 property alongside your existing Universal Analytics property. This way, you can start gathering historical data and begin enjoying the enhancements that GA4 offers.

What is the difference between CPM (cost per mile) and CPT (cost per thousand) metrics?

CPM (cost per mile) and CPT (cost per thousand) represent the same model – the price for a thousand impressions. This marketing term refers to the cost of 1,000 display instances of an advertisement on a single webpage. If a website publisher charges a CPM of $2.00, it implies that the advertiser must pay $2.00 for every 1,000 views of their advertisement.

An impression is a metric that counts the number of displays of an advertisement or audience engagements the ad receives.

CPM is one of several methods used to determine the price of online advertising; other methods include cost per click (CPC) and cost per action (CPA).

Among the drawbacks of using CPM are incorrect counting of impressions due to duplicate views, ads that do not load, and ad fraud.

Understanding Cost Per Thousand Impressions (CPM)

The cost per thousand (CPM) is the most common method of pricing web advertisements in digital marketing. This method is based on impressions, a metric that counts the number of digital displays or engagements of a specific advertisement. Impressions are also referred to as “ad views.” Advertisers pay website owners a set fee for every thousand ad views.

Click-through rate (CTR) measures whether an advertisement was clicked on and represents the percentage of people who saw the ad and clicked on it. Advertisers often measure the success of a CPM campaign using CTR. For example, an advertisement that is clicked by two users out of every 100 views has a CTR of 2%. The success of an advertisement cannot be measured solely by CTR because an ad that a reader views but does not click on can still have an impact.

CPM vs. CPC and CPA

CPM represents one of several methods used to price advertising on websites. Another pricing model is cost per click (CPC), where the advertiser pays each time a website visitor clicks on an advertisement. Cost per action (CPA) is a method where the advertiser only pays each time a website visitor makes a purchase after clicking on the ad.

Different pricing methods are more suitable for some advertising campaigns than others. CPM makes the most sense for campaigns aimed at increasing brand awareness or conveying a specific message. In such cases, CTR matters less because exposure due to the advertisement being placed in a visible location on high-traffic websites helps promote the brand name or the company’s message, even if visitors do not click on the ad.

Website publishers like CPM advertising because they get paid for mere views of the ad. However, as CPM rates are low – the aforementioned rate of $2.00 is relatively standard – websites need high traffic to earn decently from CPM ads. Rates for social media advertising, however, tend to be higher and can vary depending on the platform. For 2021, the average CPM rate for social media advertising on Facebook and Instagram was almost $9, while the average CPM rate for LinkedIn and Twitter was about $6.50.

Impressions vs. Website Visitor Count

It is possible that the number of ad impressions differs from the number of visitors to the websites on which the ad is displayed. An ad may get placements in two locations on a webpage, such as a horizontal banner across the top of the page and a vertical sidebar banner next to the page text. In such a case, the advertiser pays for two impressions per page view.

Critique of the CPM Model

Criticism of CPM often stems from issues with accurately counting impressions. Some advertisers question whether they are being charged fairly. Problems arise in connection with duplicate views from the same visitor or internet bots (short for “robots”) that visit pages and distort the total impression count. Also, if an ad does not load or loads incompletely, these ads should not be counted as impressions. Ad fraud can occur when a dishonest site owner uses automated scripts that send traffic to the pages to increase the impression count.

Comparing Data Privacy Laws and Frameworks: An Examination of GDPR, CCPA, TCF 2.0, CPRA, VCDPA, CPA, CTDPA, and UCPA

Data privacy and personal data protection have emerged as critical issues in today’s digital age, with various regulations and frameworks being developed to address them. This article explores the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), Transparency & Consent Framework 2.0 (TCF 2.0), California Privacy Rights Act (CPRA), Virginia Consumer Data Protection Act (VCDPA), Colorado Privacy Act (CPA), Connecticut Data Privacy Act (CTDPA), and the Utah Consumer Privacy Act (UCPA) in detail, outlining the specific ways each of these instruments approaches data protection.

GDPR (General Data Protection Regulation)

The GDPR, which came into force on May 25, 2018, is a comprehensive data protection law applicable within the EU and EEA, with the aim of harmonizing privacy laws across Europe. Notably, the GDPR also applies to non-EU businesses that offer goods or services to EU residents or monitor their behavior.

GDPR introduced several data subject rights, including:

  • Right of Access: Data subjects have the right to obtain from the data controller confirmation as to whether or not personal data concerning them is being processed, where, and for what purpose.
  • Right to Rectification: The data subjects have the right to have the controller rectify without undue delay any inaccurate personal data concerning them.
  • Right to Erasure (“right to be forgotten”): Data subjects can request the deletion or removal of personal data where there is no compelling reason for its continued processing.
  • Right to Restrict Processing: Under certain conditions, data subjects have the right to block or suppress the processing of their personal data.
  • Right to Data Portability: The right for a data subject to receive the personal data concerning them, which they have previously provided in a ‘commonly used and machine-readable format’ and have the right to transmit that data to another controller.
  • Right to Object: Data subjects have the right to object to their data being used for direct marketing purposes.

Under GDPR, businesses are also required to adhere to a set of principles, such as lawfulness, fairness, transparency, data minimization, accuracy, storage limitation, and integrity and confidentiality. Businesses are expected to demonstrate their compliance (“accountability”) with these principles.

CCPA (California Consumer Privacy Act)

The CCPA, enforced from January 1, 2020, provides California residents with rights that largely parallel the rights under GDPR, albeit with notable differences. The CCPA applies to any business, regardless of location, that collects consumers’ personal data, does business in California, and meets one of several specific criteria relating to revenues or data processing volumes.

The CCPA guarantees consumers:

  • The Right to Know: Consumers can request disclosure of the data a company has collected about them over the past 12 months.
  • The Right to Delete: Consumers can ask a company to delete their personal information, with some exceptions.
  • The Right to Opt-out: Consumers can direct a business to not sell their personal information.

Unlike GDPR, the CCPA does not include a specific right of rectification (the right to correct inaccurate personal data), data portability for purposes other than verifying data accuracy, or a generalized right to object to processing.

TCF 2.0 (Transparency & Consent Framework 2.0)

Developed by Interactive Advertising Bureau (IAB) Europe, the Transparency & Consent Framework 2.0 (TCF 2.0) is a voluntary standard that provides a guide for companies to navigate the GDPR and the ePrivacy Directive. While it doesn’t carry the force of law, its adoption helps businesses demonstrate their commitment to the transparent handling of personal data.

Scope: The TCF 2.0 provides guidance to any entity involved in digital advertising across Europe, particularly those utilizing programmatic advertising channels.

User Rights: TCF 2.0 doesn’t grant rights to users in the same manner as statutory laws. However, it emphasizes the necessity of obtaining informed, explicit consent from users before processing their data for personalized advertising.

Data Handling Procedures: The TCF 2.0 proposes the following steps for companies to stay compliant:

  • Obtaining Consent: Companies should present clear and comprehensive information to users about how their data will be processed, and secure their explicit consent.
  • Recording Consent: Consent should be appropriately documented to provide evidence of compliance.
  • Updating Consent: Businesses should review and refresh consents at appropriate intervals.

Transparency: The framework also places a strong emphasis on transparency, urging businesses to disclose how users’ data is processed and used for digital advertising. This includes specifying who is processing the data and for what purpose.

CPRA (California Privacy Rights Act)

The CPRA, which extends and strengthens the CCPA, introduces new privacy rights and broadens the definition of sensitive personal information. It also establishes the California Privacy Protection Agency (CPPA) to enforce privacy rights.

Under the CPRA, consumers are granted the following new rights:

  • Right to Correct: Consumers can request businesses correct inaccurate personal information.
  • Right to Limit Use of Sensitive Personal Information: Consumers can direct businesses to limit the use of their sensitive personal information.
  • Right to Opt-out of Automated Decision-Making Technology: Consumers can opt out of the use of their personal information for automated decision-making.

VCDPA (Virginia Consumer Data Protection Act)

Effective from January 1, 2023, the VCDPA offers comprehensive data privacy rights to Virginia residents. The law lays emphasis on principles similar to the GDPR, like data minimization, purpose limitation, and security.

Under the VCDPA, consumers are granted rights including:

  • Right to Access: Consumers can confirm whether a controller is processing their personal data and obtain a copy of this data.
  • Right to Correct: Consumers can correct inaccuracies in their personal data.
  • Right to Delete: Consumers can delete personal data provided to, or obtained by, a controller.
  • Right to Data Portability: Consumers can obtain their data in a portable, readily-usable format.
  • Right to Opt-out: Consumers can opt-out of the processing of their personal data for targeted advertising, the sale of personal data, or profiling in furtherance of decisions that produce legal or similarly significant effects.

CPA (Colorado Privacy Act)

Expected to be enforced from July 1, 2023, the CPA applies to businesses that process the personal data of Colorado residents and meet certain criteria.

The CPA grants consumers the following rights:

  • Right to Access: Consumers can access their personal data.
  • Right to Correct: Consumers can correct inaccuracies in their personal data.
  • Right to Delete: Consumers can delete their personal data.
  • Right to Data Portability: Consumers can obtain their data in a portable and usable format.
  • Right to Opt-out: Consumers can opt out of certain types of data processing.

CTDPA (Connecticut Data Privacy Act)

The Connecticut Data Privacy Act (CTDPA) is still in the legislative proposal stage at the time of this article’s last update. The details provided here are subject to change based on the final approved version of the law.

The proposed CTDPA offers several consumer rights and imposes obligations on businesses similar to those seen in the CCPA and the GDPR.

Scope: The CTDPA would apply to businesses that conduct business within Connecticut, or produce products or services that are intentionally targeted to residents of Connecticut, and satisfy other criteria.

User Rights: If enacted, the law would grant consumers several rights concerning their personal information:

  • Right to Know: Businesses must disclose the types of personal information they collect and the purposes for which the information will be used.
  • Right to Delete: Consumers can request the deletion of their personal information under certain conditions.
  • Right to Opt-Out: Consumers can choose to opt out of the sale or sharing of their personal data.

Data Handling Procedures: The CTDPA, as proposed, would also require businesses to implement reasonable security measures to protect personal information and to provide a privacy policy explaining their data collection practices.

UCPA (Utah Consumer Privacy Act)

The Utah Consumer Privacy Act (UCPA) is a prominent regulation developed to enhance the privacy rights of Utah citizens. The law aims to provide consumers with greater authority over their personal data while ensuring businesses handle this data responsibly.

Central to the UCPA is the obligation it places on businesses regarding the management of consumer data. The law establishes acceptable practices for collecting, storing, processing, and sharing personal data, and mandates that businesses implement suitable data security measures.

Furthermore, the UCPA provides consumers with various rights related to their personal data. These include the ability to access and rectify their personal data, delete it, obtain it in a portable format, and refuse its sale or use for targeted advertising.

A key aspect of the UCPA is its wide-ranging applicability. It encompasses businesses operating in Utah and managing the data of its residents, regardless of the physical location of the business.

The introduction of the UCPA signifies Utah’s entry into the group of states with comprehensive data privacy laws, indicating a broader move towards enhanced data privacy regulations at the state level.

Understanding the Utah Consumer Privacy Act

Utah has become the fourth state in the U.S. to enact a privacy law, slated to take effect on December 31, 2023. Drawing on previously enacted state laws for inspiration, the UCPA integrates elements from Colorado’s CPA and heavily relies on Virginia’s CDPA. These laws highlight the evolution of privacy legislation since California’s pioneering CCPA came into effect in 2020.

On balance, Utah’s privacy law is seen as more lenient and conducive to business than other state-level regulations so far. The progression towards a comprehensive federal U.S. privacy law, however, continues at a slow pace.

Key Components of the Utah Consumer Privacy Act In essence, the Utah Consumer Privacy Act (UCPA), signed into law on March 24, 2022, safeguards the privacy of Utah’s residents while laying down data privacy obligations for companies conducting business in the state, specifically those handling Utah residents’ data.

The UCPA is particularly concerned with the sale of personal data and targeted advertising, and it clarifies what constitutes a sale: “the exchange of personal data for monetary consideration by a controller to a third party.”

Distinguishing itself from the CCPA and CPRA, Utah’s law does not recognize non-monetary “other valuable consideration” transactions as a sale. Moreover, unlike California’s Privacy Rights Act (CPRA), Utah’s statute does not extend to data sharing. However, targeted advertising is included, despite not being a direct transaction with the consumer and typically involving monetary considerations.

Following the lead of other U.S. state laws, the UCPA operates on an opt-out model, allowing personal data to be gathered, sold, or utilized for targeted advertising without explicit consumer consent, except when the data pertains to a minor. In that case, consent must be procured from a parent or legal guardian. Importantly, consumers retain the right and must be afforded the choice, to opt out of the sale of their data or its use for targeted advertising. If they opt out, their data can no longer be used for these stated purposes.

Understanding key terms in the Utah Consumer Privacy Act

The UCPA governs the actions of data controllers or processors. It describes a controller as: “a business entity operating in the state that determines the objectives and methodologies of personal data processing, regardless of whether this decision is made independently or collaboratively.” Here, “business entity” refers to both individuals and commercial or noncommercial organizations that process data and meet the applicability prerequisites.

A processor is depicted as: “an entity that handles personal data on behalf of a controller.” While the term “entity” is used, it encompasses company entities such as third-party vendors that might process data, not just individuals.

A consumer is characterized as: “a state resident acting in a personal or household capacity.” This definition pertains to individuals in their private lives and explicitly omits those “engaging in an employment or commercial capacity,” meaning for business-related purposes.

Personal data refers to “information that is connected or reasonably connectable to a recognized individual or an identifiable individual.” It is important to note that certain kinds of personal data can directly identify an individual, like a name or email address. Conversely, other data types, for instance, an IP address, might not qualify on their own, but when combined with additional personal data, they can become identifiable.

What is not considered personal data under UCPA

The UCPA delineates several exceptions to what is not considered personal data. For instance, data that is publicly accessible, or has undergone deidentification or anonymization procedures, or consumer data that has been aggregated to the extent that individual identification becomes impossible.

Definition of delicate personal data

In the context of the UCPA, delicate data refers to personal data that discloses:

  • Origin in terms of race or ethnicity (except when processed by a video communication service or by a healthcare provider with a valid license).
  • Religious beliefs.
  • Sexual orientation citizenship or immigration status.
  • Medical history, mental or physical health condition, or a medical diagnosis made by a healthcare professional.
  • Genetic or biometric data, if the processing aims to identify a specific individual.
  • Geolocation data, if the processing aims to identify a specific individual.

Unlike various other data privacy laws, the Utah privacy law does not necessitate consent for the processing of delicate personal data. However, controllers must give clear notifications to consumers and the opportunity to opt-out of their delicate personal data being processed before such data is collected and processed.

Who is subject to the Utah Consumer Privacy Act?

The UCPA applies to businesses that meet the following three major criteria:

  1. They either conduct business within the state or manufacture a product or offer a service targeted at consumers who are residents of the state.
  2. Their annual gross revenue is equal to or exceeds $25,000,000.
  3. They meet one or both of the following conditions:
    • Over a calendar year, they handle or process the personal data of 100,000 or more consumers.
    • More than half of the entity’s gross revenue is generated from the sale of personal data and they handle or process the personal data of 25,000 or more consumers.

This sets the UCPA apart from other data privacy laws as it necessitates entities to fulfill multiple criteria for applicability, as opposed to simply having a revenue of $25 million or processing data of 100,000 consumers. By requiring the fulfillment of multiple criteria, it limits the range of entities that will be deemed as qualifying for compliance. Furthermore, the revenue threshold also implies that smaller SMEs will not be considered eligible.

Who is exempt from the Utah Consumer Privacy Act?

Exemptions at the organizational level

The UCPA has outlined certain organizations that are exempt from its purview besides those that do not meet the stipulated revenue or data processing volume criteria. These exempt entities include:

  • Higher education institutions,
  • Non-profit organizations,
  • Government entities and their contractors,
  • Indigenous tribes,
  • Air carriers,
  • Organizations covered by the Health Insurance Portability and Accountability Act (HIPAA),
  • Financial institutions that are regulated by the Gramm-Leach-Bliley Act.

Exemptions at the data level

The UCPA also stipulates exemptions at the data level. It does not apply to information that is already covered by the following acts:

  • Health Insurance Portability and Accountability Act (HIPAA),
  • Gramm-Leach-Bliley Act,
  • Fair Credit Reporting Act,
  • Driver’s Privacy Protection Act,
  • Family Educational Rights and Privacy Act,
  • Farm Credit Act.

Exemptions in the employment context

Data collected or used in the context of employment are exempted under the UCPA. This includes data related to an individual applying for a role, or acting as an employee, agent, or independent contractor of a controller, processor, or third party, provided the data is collected and used within the scope of the specific role.

Consumer rights as per the Utah Consumer Privacy Act

The UCPA acknowledges four main rights of consumers, which are particularly associated with the data provided directly by the consumer to the controller. This means the consumers can’t claim rights over data about them that was acquired indirectly.

The key rights are:

  1. Right to Access: This includes the right to confirm whether a controller is processing their data and the right to request and obtain that data.
  2. Right to Deletion: Consumers can ask for the deletion of personal data, provided that they directly furnished the data to the controller.
  3. Right to Data Portability: Consumers can request a copy of their personal data they submitted to the controller, given that the data format is:
    • Technically feasible to port.
    • Pragmatically usable.
    • Allows the consumer to transmit the data to another controller easily when the processing is executed via automated means.
  4. Right to Opt-Out: Consumers can opt out of specific processing activities, specifically the sale of personal data or for the purpose of targeted advertising.

Certain rights available in other state-level laws in the US but are missing in the UCPA include the right to opt-out of profiling and the right to correction (the right to request and have inaccuracies or missing information in one’s personal data rectified).

Under the UCPA, controllers aren’t obligated to recognize “universal opt-out signals” or global privacy control (GPC) as a mechanism for consumers to opt out of data processing. GPC allows users to set consent preferences once (for example, on a website) and have these preferences respected across all other sites and platforms they visit, as opposed to set preferences on every individual online property they access.

Moreover, the UCPA doesn’t provide for a private right of action, which means a consumer doesn’t have the right to file a lawsuit against a controller for noncompliance or a data breach. Furthermore, a violation of the UCPA cannot be used to substantiate a claim under other laws in Utah.

Company obligations under the Utah Consumer Privacy Act

Under the UCPA, data controllers are obligated to facilitate the exercise of consumer rights. Controllers need to establish the method by which consumers can submit requests, and they are required to respond within a reasonable timeframe, typically within 45 days.

Transparency provisions

Controllers are required to make a privacy notice or policy “reasonably accessible and transparent” to consumers, usually via the company’s website. The privacy notice must contain:

  • The categories of personal data the controller processes.
  • The categories of personal data shared with third parties, if applicable.
  • The categories of third parties with whom the controller shares personal data, if applicable.
  • The purposes for processing the data.
  • The means through which consumers can exercise their rights.
  • A “clear and conspicuous” disclosure if personal data is sold to a third party or utilized for targeted advertising, along with the procedure to exercise the right to opt-out.

Implementing a consent management solution can assist in creating a precise and comprehensive notification and privacy policy, allowing controllers to maintain it updated without extensive manual work.

Responding to consumer requests

Consumer requests must be accommodated at no cost, except in cases where the request is:

  • A second or subsequent request within the same 12-month period.
  • Deemed to be “excessive, repetitive, technically infeasible, or manifestly unfounded.”
  • Assumed by the controller to be primarily for a purpose other than exercising a right.
  • Considered to harass, disrupt, or impose an undue burden on the controller’s business resources.

Controllers are obligated to respond to a consumer request within 45 days by taking action and informing the consumer of the action taken. If the controller is unable or chooses not to comply with the consumer’s request (for instance, if the consumer’s identity cannot be reasonably verified for security reasons), this must be communicated within the 45-day period.

There are certain exceptions that allow the response period to be extended by another 45 days if deemed necessary, such as in cases of very complex requests or a high volume of requests. The consumer must be informed of the extension, along with its reasons and duration, within the initial 45-day response period.

Unlike some other laws, the UCPA does not provide an appeal process for consumers whose requests are denied.

Maintaining data security

Controllers are required to “establish, implement, and maintain reasonable administrative, technical, and physical data security practices designed to safeguard the confidentiality and integrity of personal data.” This obligation also extends to third parties utilized by the controller for data processing and must be stipulated in contracts between controllers and third-party processors.

Processing children’s personal data

In the UCPA, a child is identified as an individual known to be under 13 years of age. Controllers must obtain verifiable consent from a parent or guardian before processing the child’s data, in accordance with the Children’s Online Privacy Protection Act (COPPA). The processing of children’s data is the only activity under the UCPA that requires explicit affirmative consent.

Non-discrimination policy

Controllers are not allowed to discriminate against any consumer for exercising their privacy rights. Forms of possible discrimination could include:

  • Refusal to provide goods or services.
  • Charging a different price or rate for goods or services.
  • Delivering goods or services of a different quality level.

However, controllers are permitted to offer a differing “price, rate, level, quality, or selection of a good or service” to a consumer if that consumer has chosen to opt out of targeted advertising, or if the offer pertains to the consumer willingly participating in the controller’s loyalty program.

Data processing by third parties

Controller organizations are allowed to engage third parties to process data on their behalf. These arrangements need to be regulated by a contract, a practice that is common under other state-level laws like the CCPA and VCDPA. The contract should contain data processing instructions, as well as some details similar to those required in consumer notifications, including:

  • The nature and purpose of the processing.
  • The type of data to be processed.
  • The duration of processing.
  • All parties’ rights and obligations, including a confidentiality clause.
  • A requirement is that the processor must have a written contract with any subcontractor involved in processing personal data, which fulfills the same obligations as the processor.

Interestingly, the UCPA does not mandate that a contract between a controller and processor includes a provision for the processor to comply with reasonable audits carried out by the controller.

Enforcement and penalties under the Utah Consumer Privacy Act

Enforcement authority

The enforcement of the UCPA lies in the hands of the Utah attorney general who has the power to impose penalties for non-compliance. However, the responsibility of administering consumer complaints and examining the validity of alleged infringements is assigned to the Division of Consumer Protection.

Notably, the UCPA doesn’t require controllers to assess the risks associated with their data processing activities through data protection (risk) assessments, as is required in the CPA or VCDPA.

Investigations and cure period

If sufficient evidence or reasonable cause of an infringement is identified, the case is referred to the attorney general. The attorney general can then choose to take action. Should the attorney general decide to proceed, a written notice must be sent to the controller or processor outlining the violation. The offending party is then provided with a 30-day period, known as the “cure” period, to address and rectify the violation. They are also required to deliver a statement to the attorney general detailing the measures taken to resolve the violation and prevent its recurrence.

Damages and fines

If the controller or processor fails to rectify the violation within the cure period or continues to breach the law even after submitting a written assurance of compliance, the attorney general can initiate an enforcement action. This may involve imposing actual damages and fines of up to $7,500 per violation.

The role of consent management in the Utah Consumer Privacy Act

Unlike some other U.S. state-level laws that require explicit consent, the Utah privacy law, being an “opt-out” law, does not necessitate the consent of data subjects before collecting or processing their personal data. This holds true even for sensitive data, with the exception that explicit consent is required for processing children’s data.

However, despite not requiring consent, controllers are obligated to provide clear notification to consumers and allow them the choice to opt-out of their personal data being processed, either before or at the point of data collection and processing.

This is where a consent management solution (CMP) comes into play. A CMP can present accept/decline consent options for personal data processing, provide comprehensive information about data processing and consumers’ rights, and generate a compliant Privacy Policy that clearly communicates all necessary information to consumers.

For organizations operating across the United States or globally, geolocation functionality in a CMP can present customized CMP banners with specific notification information and consent options based on the user’s location. This ensures compliance with a variety of laws including the CCPA/CPRA, VCDPA, CPA, UCPA, and even the GDPR, depending on where the user is based.

Utah Consumer Privacy Act – conclusion

In conclusion, the Utah Consumer Privacy Act, currently in its initial version, will undergo practical testing to shape future amendments. The law mandates the Utah attorney general and Division of Consumer Protection to present an evaluation report on its effectiveness by July 1st, 2025. Any amendments to the UCPA are likely to occur after this date, influenced by evolving privacy legislation and amendments to existing laws. Unlike California, the UCPA does not include a private right of action, meaning consumer class-action lawsuits will not impact future amendments.

Although the Utah privacy law is considered less strict compared to other state-level laws in the US due to its business-friendly nature, it is advisable to seek legal counsel to understand your organization’s specific responsibilities and ensure compliance with privacy regulations when the law is enacted. Taking proactive measures to safeguard user privacy is always recommended as it helps establish user trust and ensures the acquisition of high-quality data for marketing operations.

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Complex guideline of images and photographs licensing and usage rights

As a professional photographer, you likely aspire to generate income by selling your work, which can take the form of prints, downloads, or image licenses granting the buyer specific usage rights.

However, prior to delving into the business of image licensing, it’s crucial to familiarize yourself with the intricate realm of photo usage rights and licensing processes. This knowledge will help you license your work appropriately and sidestep prevalent pitfalls. The range of licensing agreements open to photographers is nearly as varied as the field of photography itself. Such agreements can span a broad spectrum of usage terms, from editorial to commercial, and from severely restricted rights to exclusive rights.

What  you need to know about image licensing and photo usage rights

I’ve prepared this comprehensive guide to serve as a robust informational resource for you, filled with indispensable knowledge and expert advice to simplify your journey in the realm of image licensing. This guide was prepared in cooperation with experienced photographers with years of experience working in the industry and across image rights and copyright infringement cases

The trustworthy, firsthand insights provided here will offer priceless guidance to keep you on the right track with image licensing.

Are you geared up to understand the correct procedure of image licensing? We will cover each aspect you need to know to alleviate any confusion.

Let’s start this journey with some basic information.

Who possesses the legal authority to license an image?

An in-depth look at photo usage rights and copyright laws pertaining to image licensing

The capacity to offer an image license is limited to the original creator of the photo or someone expressly authorized by the creator to license their images and assign photo usage rights on their behalf. Additionally, photographic and licensing agencies like Pixsy can provide photo usage rights on behalf of the original creator, if such arrangements have been contractually agreed upon.

Under copyright law, the author of an image is identified as the individual who has produced the work and thus, is shielded by copyright protection. As such, the exclusive privilege of deciding when and how their work is used for commercial purposes rests solely with the author.

Who retains the ultimate image rights in the context of image licensing?

Under the Berne Convention’s guidance on copyright law, the person who originally creates an image, i.e., the author, is granted automatic copyright protection the moment the camera’s shutter button is pressed.

Moreover, the Berne Convention mandates that copyright protection is innate and doesn’t necessitate the exhibition of a copyright symbol. Established in 1886, the Berne Convention was the inaugural international consensus on the global governance of copyright. Its core principle is universally acknowledged, though the intensity of enforcement varies across jurisdictions. It boasts the participation of over 170 countries, including notable nations like the US, Canada, the UK, and Australia.

Remember, granting a license for image use does not equate to transferring copyright ownership. The copyright always remains with the original author of the photograph unless they opt to relinquish their copyright under self-determined conditions.

Understanding the reach of image licenses – what factors can be regulated by the license?

The entity or individual offering photo usage rights is termed the licensor, while the party acquiring the photo usage rights is known as the licensee. The legal document employed to confer these usage rights is recognized as a license. Typically, image licenses encompass certain limitations, detailing the scope and nature of rights granted.

Licensors provide licensees with usage rights for a particular image in return for a fee, commonly called the licensing fee. By allocating these rights, the licensor promotes their own work or the work of the rights holder. There are, however, licensing agreements such as the widely recognized Creative Commons license, which do not demand a fee in return for usage rights – these are known as gratuitous image licensing agreements.

The term ‘type of use’ in an image licensing agreement pertains to the specific circumstances, context, and content within which the image can be utilized, such as a newspaper article, an advertising billboard, or a promotional campaign. Typically, image licensing agreements delineate the following types of use:

  • Editorial use – this involves utilizing the image to illustrate or support content in a newspaper, magazine article, editorial feature, blog, or website.
  • Commercial use – in this context, the image is employed in a commercial setting to endorse and/or market products, services, business websites, or concepts, such as its use in an advertising campaign.
  • Promotional use – this type of use refers to the deployment of an image for promotional purposes.

For instance, should you desire to incorporate an image within an editorial piece, you would require an image licensing agreement that specifically permits editorial use. Moreover, you would need to deliberate on the location, timing, and the particular edition of the magazine where the image will be displayed.

Key elements photographers should incorporate in their image licensing agreements

When it comes to image licenses, licensing agreements, and photo usage rights, photographers and their licensees operate within the realm of contractual freedom. This implies that there are no strict governmental guidelines regulating the contents of the agreement.

Furthermore, an image licensing agreement doesn’t necessitate a specific format, allowing for the potential of reaching an agreement orally between the licensor and licensee, barring certain exceptions.

However, it’s generally advised by experts to formalize photo licensing agreements in writing. The absence of a written license could pave the way for a dubious licensee to dispute the agreement’s terms. This may lead to a contentious “he said, she said” situation. In case of any disagreement regarding the specifics of the photo license, a written agreement can serve as a clear point of reference.

Ready-made solutions for image licensing: exploring Creative Commons licenses

For authors whose primary objective is the dissemination of their work rather than monetary compensation, there exist several options within the realm of image licensing. Creative Commons provides complimentary licenses catering to such photographers.

The spectrum of image licenses offered by Creative Commons spans from CC0 (Creative Commons Zero), which relinquishes the work into the public domain, to commercial image licenses permitting licensees to expand upon the creator’s work for commercial endeavors. Each of these CC licenses carries unique attribution requirements, necessitating careful attention from all image users.

How does image licensing work in real?

Given the previously discussed contractual freedom, there are no obligatory stipulations regarding the content of your licensing agreement. However, most licensing agreements tend to address certain key points, such as:

  • Usage rights – when licensing images, it’s crucial to determine the type of usage rights you wish to grant. There are two main categories of usage rights: non-exclusive and exclusive.
  • Non-exclusive usage rights – these rights grant the licensee the privilege to utilize the work strictly in the manner outlined by the license. It’s important to note that photo usage rights under this category are not singularly assigned. A non-exclusive usage right can be simultaneously granted to several individuals by the author or rights owner.
  • Exclusive rights – an exclusive right-bearing licensee is vested with the sole authority to license the images to third parties. Unless a separate agreement has been established, it becomes unlawful even for the author to use their own work. Your licensing agreement can further stipulate that usage rights remain with the original author and do not extend to third parties.
  • Royalty-free license usage rights – images subject to a royalty-free license are sold at a fixed rate for a set duration, independent of usage specifics, and premised on non-exclusive rights. While this makes royalty-free images more affordable for consumers, it translates to lower earnings for photographers.
  • Rights-managed license usage rights – a rights-managed image license restricts the use of an image in one or more ways, such as geographically or temporally. Typically, a licensee purchases the license for one-time use, and any further use necessitates a new agreement and licensing fee payment. It’s also common for clients to secure exclusive usage rights for the duration of the license.
  • Unlimited use – this provision permits the licensee to use the photograph without restrictions on factors like geographical or platform scope, albeit for a fixed license period. It’s essential to note that unlimited use does not imply unlimited duration when licensing images.

Image licensing durations, content, and spatial dimensions

As a licensor, you hold the power to set limitations concerning when, where, and for how long the licensee can use your photograph. Geographical constraints are less prevalent today due to the digital nature of our world but may still be relevant for print editorial photography.

Time frames typically shouldn’t extend beyond 10 years, with 2-5 years being the industry standard. This is because you cannot predict the future trajectory of your client – a small business today could evolve into a major brand within a year, thereby significantly increasing the value of your image.

Plan for the foreseeable future, understanding that the client can renew their license at any point if you are agreeable. It should be explicitly stated that image use beyond the license duration is prohibited and necessitates a new or renewed license.

It’s also advisable to define the use of the image per platform: digital use, for example, is expansive and should typically be restricted in the agreement to specific platforms, unless the client is willing to pay a higher licensing fee.

Leveraging an image license to control the application of your work

Within an image licensing agreement, clearly specifying how your image may be utilized is essential, as well as identifying whether the licensee possesses exclusive or non-exclusive rights. The license can meticulously delineate the nature of usage, either from a technical perspective (including actions like scanning, copying, printing, or CD burning) or a commercial standpoint (covering aspects like distribution or further monetization).

The license may govern online or offline usage, usage in print media, and either editorial, commercial, or promotional applications. The holder of the image rights can transfer the privilege to utilize their work for a single, multiple, or all conceivable type of usage.

The significance of author attribution in image licensing

One crucial aspect often overlooked in image licensing agreements is the identification of the author. Authors have the authority to determine whether they should be named and can include this requirement in the contractual terms.

In the absence of an agreement regarding author attribution, the default practice is to immediately attribute the author’s name to the work. To avoid any confusion, it is highly recommended to explicitly include a provision in the licensing agreement specifying the author’s designation, as many licensees may not be aware of this requirement.

Furthermore, it is possible to establish an agreement on how the author’s name should appear. Should the licensee have the discretion to decide the author’s designation entirely? These considerations can be addressed and detailed within the licensing agreements to cover all available options.

Preserving the right to edit – understanding image licensing changes

The licensor holds the discretion to determine whether their image can be edited by the licensee and the extent to which modifications are permissible. In terms of the right to edit, there are no defined boundaries, granting flexibility for stipulations within the agreement.

For instance, the licensee may be granted the freedom to extensively redesign the image or restricted to making only minor adjustments, such as altering size and color. The level of editing control is subject to negotiation and agreement between the licensor and licensee.

Exploring additional considerations in image licensing for photographers

Including sublicensing and usage rights transfer in an image license agreement is important. It determines whether the licensee can grant sublicenses or transfer the usage rights of an image to third parties. Remember that only the usage rights you own can be transferred, and third parties cannot be granted usage rights without the consent of the author or rights holder.

A rights guarantee can also be beneficial in a photo licensing agreement. By transferring the rights, the licensor confirms their ownership of the usage rights. The licensee must agree to a liability exemption to be protected against third-party claims.

In the event that a third party asserts claims against the licensee, the licensee may assert claims against the licensor.

Image sub-licenses and rights in commissioned works

When granting rights for a commissioned work in an image licensing agreement, it is advisable to align with the purpose of the commission. This helps clarify the extent of the license, especially when certain aspects have not been explicitly agreed upon or lack clarity.

Terminating an agreement follows standard rules for ongoing contracts. Once the specified duration of the agreement has elapsed, it automatically comes to an end. However, terminating a license agreement without a specified duration requires a declaration of intention from either party (unilateral termination) or mutual agreement between both parties (mutual termination).

How to determine image license fees?

When it comes to remuneration in the licensing agreement, you have the freedom to negotiate and establish the terms. This includes deciding whether remuneration should be provided and, if so, how and when it will be provided.

The licensing fee amount is influenced by various factors, with the scope of the license being the most significant one. Other factors, such as the type of rights granted and the permitted usage, also contribute to determining the fee.

To get an idea of pricing for similar image licenses in the market, you can refer to the price lists of others in your industry. Many stock agencies also offer calculation tools that can provide guidance on the typical fees for different types of uses.

In image licensing, there are various remuneration models available to consider. One common approach is percentage compensation, where the fee is calculated based on a percentage of the licensee’s net sales revenue. Typically, this percentage falls within the range of 3.5% to 12%, though the specific amount is subject to negotiation between the parties involved.

Another method for determining remuneration is through unit license fees and minimum license fees, which help establish a flat-rate license fee structure.

It is also possible to combine different compensation methods. For example, a percentage compensation arrangement can be accompanied by a minimum license fee, ensuring payment even in the absence of generated revenue.

Understanding image licensing and stock photography

Stock photos refer to images available on popular stock photography websites such as Fotolia, Shutterstock, and Getty Images. Despite their widespread availability, they are subject to limitations on usage.

The usage restrictions for stock photos can vary depending on the provider, including:

  • RF / RF images / Royalty-free licensing – the term “royalty-free” can be misleading, as it still entails licensing requirements. Royalty-Free (RF) licenses emerged in the 1990s, allowing images to be licensed at flat-rate fees without ongoing royalties. RF images can be licensed for a specific duration and medium, independent of usage parameters, based on the granted photo usage rights. Non-exclusive rights of use typically apply to all RF images.
  • RM / Rights-managed licenses – Rights-managed (RM) is a traditional licensing term used for images offered by agencies, often for historical or iconic photographs. This type of license places specific restrictions on image usage. High-value images frequently have exclusive usage rights granted, and in many cases, the photographer transfers all rights to the agency.

Choosing the right image licensing agreement for your needs

The choice of image licensing agreement depends largely on the intended purpose of the images. While there is no definitive right or wrong way to license images, selecting the appropriate agreement is influenced by the type of photographer you are.

Hobby photographers often find Creative Commons and stock licenses suitable. On the other hand, professional photographers who rely on license fees tend to prefer agreements with clear and specific terms.

Royalty-free licenses offer the advantage of relatively easy monetization, but the revenue potential can vary. Sharing images with image agencies under Rights-Managed licenses can provide broader exposure, although not all images will necessarily sell. Fees for such licenses depend on the agency and the nature of the image material.

Licensing agreements cover a wide range of areas, making it challenging to standardize them solely based on content. Depending on your intended use, you can choose from a variety of licensing agreements. Achieving a clear legal framework that meets the needs of both parties is a practical challenge.

When it comes to exclusive sales, drafting licensing agreements, or determining licensing fees, experience and knowledge of clients and the market play a crucial role. Seeking legal advice is also beneficial.

Investing time, energy, and resources into understanding image licensing and seeking professional guidance is always a wise choice. This ensures the protection of your work online and equips you with the necessary knowledge to address unauthorized use effectively.