Use cases for the Private Aggregation API

Private Aggregation can support a variety of use cases, including:

Use case Description Example
Measure the unique reach of your ad campaigns Accurately determine how many individual people saw your ads, even across different websites or platforms, helping you to better understand your campaign effectiveness and optimize your ad spending. For a more technical understanding, and to learn more about methods to implement these measurements, check out the reach whitepaper referenced in the developer documentation.

Imagine you run an ad campaign across multiple websites. Using Private Aggregation with the Shared Storage API, you can measure how many unique users saw your ad across those sites. This helps you understand the true reach of your campaign and avoid counting the same user multiple times due to seeing the ad on different sites.

Measure K+ frequency reach

Understand how many people saw your ad at least a certain number of times (K). This is valuable for optimizing campaign frequency and ensuring your ads are seen enough times to be effective, but not so many times that they become annoying. A more technical explanation can be found in the developer documentation.

Let’s say you want to know how many people saw your ad three or more times. Using Private Aggregation with Shared Storage, you can measure this without tracking individuals across the web. This helps you understand how often people are exposed to your message and adjust your campaign accordingly to find the optimal frequency.

Measure user demographics

Gain insights into the demographics of the people who see your ads, without collecting any personally identifiable information. This information can be valuable for targeting your campaigns more effectively and understanding your audience better. Refer to the developer documentation for more information about this use case.

Imagine you want to know the general age range of users who visit your website after clicking on your ads across various websites. Using Private Aggregation, in conjunction with Shared Storage, you can measure this without tracking individuals or collecting their exact birth dates. This helps you tailor your ad creatives and messaging to resonate with the demographics most likely to engage with your ads.
Multi-touch attribution

Measure how different touchpoints (for example, clicks or ad views) contribute to conversions. This helps you understand the customer journey and optimize your campaigns for better performance. For a more technical explanation, be sure to refer to the developer documentation

Let’s say a user sees your ad on one website, then clicks on another ad on a different website a few days later, and finally makes a purchase on your site. Using the Private Aggregation and  Shared Storage APIs, you can analyze how each of those touchpoints influenced the conversion, all while respecting user privacy. This allows you to better allocate your advertising budget and improve your overall campaign strategy.

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