Diagnosis guides
Start with the metric that moved first. Revenue is the result; impressions, weighted eCPM, match rate, fill rate, country mix, placement exposure, ad-source contribution, and configuration changes are possible drivers. These guides help mobile app and game teams turn a blended account-level decline into a focused question before changing settings.
First compare equal-length, completed periods with the same weekdays, timezone, apps, and inventory scope. Then segment the change by serving status, country, format, placement or ad unit, source, mediation setup, time, and floors. Keep match rate, fill rate, and show rate separate because they describe different stages between a request and an impression. Read the absolute counts behind each rate, not only the percentage.
Blended averages often hide mix. Account eCPM can fall while country-level eCPMs remain stable if more impressions come from lower-value markets; revenue can fall while eCPM looks normal if impression volume drops. Choose the category that matches the first confirmed signal, follow the smallest affected segment, and make one controlled change at a time. The three highlighted guides provide the broadest starting paths for revenue, match-rate, and stable-impression eCPM declines.
Start with the outcome, then identify whether volume, value, serving, or mix moved first.
Find why AdMob revenue dropped by tracing impressions, eCPM, match rate, country mix, placement, mediation, ad sources, floors, and timing.
A concise checklist for diagnosing mobile game ad revenue drops across impressions, eCPM, fill rate, country mix, placement, ad source, timing, and releases.
Trace changes in users, sessions, ad opportunities, show behavior, and time-of-day patterns.
What to check when AdMob impressions fall while eCPM remains normal, including DAU, sessions, ad requests, placement exposure, show rate, and timing.
Learn why sports events, holidays, exams, work schedules, and time-of-day behavior can reduce AdMob impressions during peak hours even when eCPM and match rate look stable.
Separate demand movement from shifts in country, format, placement, source, and period mix.
Diagnose an AdMob eCPM drop with stable impressions by separating country, format, placement, ad source, time period, and demand changes.
Understand how blended eCPM can drop when impressions shift toward lower-eCPM countries, even if top-country eCPM and ad demand remain stable.
Keep matching, filling, and showing distinct while you locate the affected request segment.
Diagnose an AdMob match rate drop by checking requests, serving limits, consent, GEO and format changes, mediation, SDK updates, and ad sources.
A practical diagnosis flow for rewarded ad fill-rate drops across requests, fills, show rate, placement exposure, mediation, countries, and ad sources.
Anchor source and integration changes to a rollout boundary before changing the whole stack.
A diagnosis checklist for fill-rate drops after a mediation update, covering requests, fills, match rate, source availability, SDK releases, floors, and rollout scope.
How to diagnose an ad source that stopped filling without confusing a low source-level rate with app-level fill, bidding competition, or revenue contribution.
Measure total revenue and served volume together when pricing configuration changes.
What to check when mobile ad revenue falls after changing price floors, including requests, fills, impressions, eCPM, country mix, source behavior, and rollout scope.