ASO tracking dashboards model Day-1/7/30

X user AiwithZoaina published a May 19 post laying out an app store optimization workflow built around Day-1, Day-7 and Day-30 dashboard checkpoints. The post described dashboards that track downloads, retention, ratings and keyword gaps, and framed those measures as a way to prioritize app growth work. It also linked competitor-gap keyword analysis to A/B tests and screenshot creative experiments. The post appeared on X on May 19. ### Which metrics did the post put at the center of the dashboard? The May 19 post named Day-1, Day-7 and Day-30 downloads as the priority metrics in the dashboard model. It paired those download checkpoints with retention and ratings, putting early acquisition and early product response in the same reporting view. The structure matters because Day-1, Day-7 and Day-30 are common checkpoints for measuring whether an app’s first-store impression turns into sustained usage. (x.com) In the post’s framing, downloads show whether listing changes are pulling in users, while retention and ratings show what happens after install. That interpretation comes from the metrics the post grouped together, rather than from any separate explanation in the thread. ### How did keyword gaps fit into the dashboard idea? AiwithZoaina’s post included keyword-gap tracking as part of the dashboard concept. The idea was to compare an app’s keyword coverage with competitors and use that gap analysis to identify terms or themes missing from the current listing. The post connected that competitor-gap work directly to testing. It recommended using keyword-gap findings to inform A/B tests and screenshot creative experiments, linking search visibility decisions with store-page creative changes rather than treating them as separate tasks. (x.com) ### Why pair screenshots with keyword analysis? The May 19 post treated screenshots as another variable that can be tested against growth outcomes. (x.com) In that setup, screenshot experiments are not only design exercises; they sit beside downloads, retention and ratings in the same measurement system. That means a team using the dashboard would be able to watch whether a creative change coincides with movement in Day-1, Day-7 or Day-30 downloads, and then compare that with ratings or retention. (x.com) The post did not publish performance results; it described a dashboard model for prioritizing what to test. ### Was this a tool launch or a planning framework? The X post described dashboard concepts rather than announcing a verified product release, pricing page or software launch. (x.com) The material presented the structure of a growth dashboard and the categories it should track, with linked visuals showing how teams might organize those priorities. The social briefing supplied for this story separately described the discussion as one about “ASO Tracking Dashboards” focused on Day-1, Day-7 and Day-30 targets, including downloads, retention, ratings and competitor analysis tools for keyword gaps and screenshots. (x.com) That matches the main elements cited in the post. ### What is the next concrete step for readers who want the source? (x.com) The May 19 source post remains the main reference point because it contains the original dashboard framing, the named metrics and the linked concept visuals. Readers looking for the full breakdown would need to review AiwithZoaina’s X post from May 19, where the Day-1, Day-7 and Day-30 model was published. (x.com)