New in ThoughtMetric: AppLovin Integration

Alex Fusco
Alex Fusco
September 15, 2026
Last Updated:
The list of ThoughtMetric integrations is growing! 

AppLovin opened self-serve access to all advertisers in June 2026, and e-commerce brands have been adding it to their marketing mix since. New channels need to be judged quickly, and the data provided by the ad platforms is not reliable enough for decision making. We built the integration so brands testing AppLovin can measure it accurately and act quickly.


How the AppLovin Integration Works

Connect your AppLovin account to ThoughtMetric and your campaign data shows up in the same reports as your other channels. ThoughtMetric pulls in your ad metrics and spend, then lines that spend up against the revenue it attributed to AppLovin.

Each campaign reports on the following:
  • Spend
  • Impressions
  • Clicks
  • Conversions
  • CTR
  • Average CPC
  • Average CPM
  • ROAS
  • Revenue
  • CAC
  • New customer and returning customer breakdowns
  • And more


Seeing AppLovin Next to Your Other Channels

AppLovin reports next to everything else you run, so you are not opening AppLovin Ads Manager, then Meta, then Google, to piece together performance. 


Setting Up the Integration

Setup takes a couple of minutes and does not require any changes to your store. You will need two things from your AppLovin account, your Reporting Key and your Account ID.
  1. In AppLovin, open the account menu in the upper right and click Keys, then copy your Reporting Key.
  2. Find your Account ID under Account Info in the left sidebar.
  3. In ThoughtMetric, go to Configure, select Integrations, and click Connect under AppLovin Ads.
  4. Paste in your Account ID and Reporting Key, then press Connect AppLovin.
ThoughtMetric validates the key with AppLovin and the integration shows as Connected once it goes through. Full steps with screenshots are in the help center article.


Measuring Every Channel You Test

New ad platforms will keep opening up, and ThoughtMetric will keep adding them as integrations so you can get the data you need to make data-driven decisions.

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