MAX Advanced Reporting (MAX > Mediation > Analyze > Advanced Reporting) delivers real-time, granular insights that help you understand your monetization performance. You can run hourly, daily, or weekly reports to analyze trends and examine your app’s performance.
Select Chart to see a visual representation of your app performance, or select the Table view.

From the chart view, you can choose from the View By options to create different views that help you visualize more granular data. You can also filter reports by checking the checkbox associated with the field you want to filter on. These fields include:
Network Placement : the unique network placement ID that you use per network and per ad format
Ad Unit Name : the name that you assign to each MAX ad unit when you create it
Ad Unit Test : the segment of an A/B Test that you run
Ad Placement
: the placement name that you assign when you integrate each ad format, for granular reporting (for example, Rewarded_Store or Rewarded_LevelEnd)
Requests : the number of times your app requested an ad to load for a unique impression opportunity
Attempts : the number of times your app successfully requested an ad from a network partner
Responses : for in-app bidders, the number of times any of the bidding-enabled mediated networks returns a valid bid response
Fill Rate : for in-app bidders, the bid rate: the number of ad requests that a bidder fills with an ad response
Impressions : the total number of ads that your app shows its users
Estimated Revenue : the total revenue that your app generates for the impressions that it shows to the users of the app
eCPM : effective cost per thousand impressions based on the revenue that your app generates for the impressions that your app shows the users
For reports that you frequently run, you can save time by using the Select a Saved Report feature that is available in all reports. MAX also offers a Compare feature with which you can see trends in your monetization stack on an hourly, daily, or weekly basis. This way you don’t lose the chance to maximize revenue.
You can analyze the control vs. test behavior of each of your test varieties for the dates and hours you select.
For in-app bidders that have full access to all impression opportunities, requests should equal attempts.
While some bidders prefer to bid on all opportunities with a high bid response rate, some bid only on a select group of users where they have applicable and competitive demand. AppLovin sees a range of 40% to 90% bid rate across all its bidders.
Impressions reported by MAX may differ from what the ad network reports due to factors such as different time zones.
Revenue reported by MAX may differ from what the ad network reports due to factors such as different time zones.