Blog Perspectives Introducing User-Level Ad Revenue tracking

Introducing User-Level Ad Revenue tracking

We’re delighted to announce that Adjust will support Ad Revenue tracking at the user level.

With our new feature, marketers will be able to correctly measure app monetization of in-app advertising to see how their users respond to different ads. This data can be used to track how many users account for your ad revenue, find out which networks bring you the most valuable users and provide you with a granular breakdown of ad revenue at any segmentation level.

With Adjust’s User-Level Ad Revenue tracking, you’ll be able to get real insights and translate them into increased revenue all by optimizations based on accurate, deliverable data.

Why we’re implementing User-Level Ad Revenue tracking

Increasingly, app publishers are generating revenue through in-app advertising. This method of monetization goes beyond the typical means of in-app purchases and payments for downloads. By monetizing in-app ads (allowing others to advertise in your app), app companies receive a payout from the impressions, clicks and installs that happen from users viewing, clicking and engaging with ads.

Naturally, marketers want to find more users who interact with advertising in order to increase revenue. However, networks hold different data in regards to user habits, and this data wasn’t available for app marketers at the user level - instead, it was presented as an average aggregate of the total revenue generated. This clearly limited any implementation of Ad Revenue to date.

Adjust’s User-Level Ad Revenue feature answers three essential questions with precision:

  1. Where do I find users who interact with ads?
  2. Which campaigns yield more revenue than what was spent?
  3. Which users generate the most ad revenue?

User-Level Ad Revenue gives app publishers a privacy-compliant method to tie back monetization revenue to the source.

Clients that utilize Adjust’s User-Level Ad Revenue can also make lifetime value (LTV) calculations much more accurately. They can do this by using Adjust to track the cost of acquiring users, the revenue that user contributes through in-app activity, and the amount of revenue they bring to the publisher by converting on advertisements. With this combination of data points, LTV is made clearer, and ARPU (average revenue per user) is also revealed.

Working with partners

In order to create accurate views of User-Level Ad Revenue, we’ve partnered with the mediation platform ironSource to make this happen.

To provide us with this data, ironSource has created an API that allows mobile measurement partners (MMPs) such as Adjust to funnel Ad Revenue data into our system.

We heavily encourage all mediation platforms and partners to work with us on scaling this solution in order to provide the ecosystem with more transparency. Partners such as Fyber have already committed, and others are currently in discussions. Please contact us if you’d like to know more.

This feature is currently in beta and will be released as an add-on to our measurement product.

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