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APPBIRD.AIManage supplier listing
AppBird AI (AppBird Technologies, Inc.) — Longitudinal mobile app-store panel: daily rank snapshots (free/paid/grossing by store, country, category), per-app version timelines with changelogs, download and rating histories, ad-creative captures, app ownership-transfer events, and technical teardown reports across 6.4M apps / 1.36M games on Apple App Store and Google Play. Small vendor, very large dataset: 2-person company operating a panel covering 7.8M apps and ~2.9M developer profiles with daily updates. Use cases: Consumer-demand and revenue forecasting for listed mobile/publishing names; …
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Longitudinal mobile app-store panel: daily rank snapshots (free/paid/grossing by store, country, category), per-app version timelines with changelogs, download and rating histories, ad-creative captures, app ownership-transfer events, and technical teardown reports across 6.4M apps / 1.36M games on Apple App Store and Google Play
Scale ~7.8M tracked apps and games (2From 3 yearsCoverage Information Technology
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AppBird AI (AppBird Technologies, Inc.) — Longitudinal mobile app-store panel: daily rank snapshots (free/paid/grossing by store, country, category), per-app version timelines with changelogs, download and rating histories, ad-creative captures, app ownership-transfer events, and technical teardown reports across 6.4M apps / 1.36M games on Apple App Store and Google Play. Small vendor, very large dataset: 2-person company operating a panel covering 7.8M apps and ~2.9M developer profiles with daily updates. Use cases: Consumer-demand and revenue forecasting for listed mobile/publishing names; …
Appbird offers (Alternative, Sentiment, Reference) — ~7.8M tracked apps and games (2,998,404 iOS + 3,418,240 Android apps; 401,061 iOS + 955,151 Android games) and ~2.94M developer profiles, each with a daily rank snapshot series plus version changelogs, reviews and creatives — order of 10^9 rows once daily snapshots are unfolded.
Consumer-demand and revenue forecasting for listed mobile/publishing names; app-category penetration and genre-mix studies; ad-creative trend modeling and multimodal creative classification; M&A and portfolio-transfer signal detection; changelog-based product-roadmap intelligence; LLM/RLHF corpora from changelog-review text pairs and app-description/tag alignment
The data is with 3 years of history.
Coverage spans US; Application Software; alternative, sentiment, reference; equities.
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