Automated Mobile Video Ad Impression System
Pain Points (Public)
Manually cycling through rewarded video ads to reach daily quotas such as 1,000+ impressions is labor-intensive, while naive macros easily break due to shifting close-button coordinates, video loading stalls, and device-level anti-fraud detection.
Suggested Approach (Public)
Deploy a resilient mobile automation pipeline using Android ADB, Appium, or emulator instances with randomized touch simulation, OpenCV-based dynamic close-button detection, residential proxy rotation, and auto-restart watchdogs to hit daily ad view targets.
Metrics (Public)
Statistics window：Weekly 2026-09-07 – 2026-09-13
The analysis below is an AI-generated hypothesis awaiting editorial review. Scores and build verdicts are not verified recommendations.
Posted budgets are not confirmed payments. Task counts do not establish independent buyers or willingness to subscribe. Small samples are preliminary signals.
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Public Demand Evidence · 2 task(s)
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