The latest articles on DEV Community by Xia Yu (@mmyy). https://dev.to/mmyy https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3983485%2F79fa655f-89b3-405d-ac25-9c9744a63f23.jpg https://dev.to/mmyy en Xia Yu Sun, 14 Jun 2026 08:01:03 +0000 https://dev.to/mmyy/how-i-built-an-ecpm-diagnosis-dashboard-for-mobile-game-ad-revenue-1hij https://dev.to/mmyy/how-i-built-an-ecpm-diagnosis-dashboard-for-mobile-game-ad-revenue-1hij <p>Every small mobile game team eventually runs into the same question:</p> <p><strong>Why did ad revenue change yesterday?</strong></p> <p>Was it because eCPM dropped, impressions dropped, fill rate changed, one country performed worse, or one ad source started underperforming?</p> <p>I am building a small tool called <strong>eCPM Bazaar</strong> to make that diagnosis easier for mini-game and mobile app developers.</p> <p>The first version focuses on a simple workflow:</p> <ul> <li>collect ad monetization report data</li> <li>normalize revenue, impressions, eCPM, fill rate, country, placement, and ad source</li> <li>compare the change by dimension</li> <li>surface possible causes when revenue drops</li> </ul> <p>The current version supports demo mode and a TopOn reporting API integration. The long-term goal is to support more sources such as AdMob, AppLovin MAX, Unity LevelPlay, and CSV exports.</p> <h2> Why this matters </h2> <p>A lot of ad dashboards show numbers, but small developers still have to manually answer questions like:</p> <ul> <li>Did revenue drop because eCPM fell or because impressions fell?</li> <li>Is the issue global or only in one country?</li> <li>Is one placement causing most of the loss?</li> <li>Did fill rate drop while eCPM stayed stable?</li> <li>Is the problem tied to a specific ad source?</li> </ul> <p>For example, if US rewarded video revenue drops 25%, but eCPM is stable and fill rate falls from 78% to 54%, the first thing to check is probably fill, waterfall, floor settings, or platform status rather than pricing.</p> <h2> What I am validating </h2> <p>I am not claiming this will magically increase revenue. I am trying to validate whether a clean diagnosis workflow is useful for small teams that do not have a dedicated data analyst.</p> <p>If you monetize a game or app with ads, I would love feedback:</p> <ol> <li>When revenue drops, what do you check first?</li> <li>Do you care more about eCPM, fill rate, match rate, country mix, or placement performance?</li> <li>Would a simple daily alert be useful if it explained the most likely driver of the change?</li> </ol> <p>If this resonates, leave a comment. I am looking for a few developers with real ad monetization data to test the workflow and improve the diagnosis logic.</p> saas mobile gamedev analytics