I spent $220 on Google app ads and 60% of the installs were robots

Google ad install counts can be inflated by bot farms, wasting ad spend and skewing campaign performance.

A small app developer spent $220 on Google app ads targeting installs, only to discover that 60% of the reported installs were likely fraudulent. The developer, Nick Abe of the puzzle app Dayzle, initially saw 21 installs reported by Google for a daily spend of CA$80 after removing an install cost target. However, his app's admin panel showed only one install. Further investigation revealed that 20 of the 21 installs were on older versions of the app that could no longer be downloaded from the Play Store, suggesting the installs originated from a bot farm. These fraudulent installs opened the app once and immediately closed it, exhibiting identical behavior across numerous devices and states. The developer suspects Google's algorithm, optimized for installs, was tricked into sending more ads to the bot farm because of the inflated install numbers. He has since changed the campaign goal to 'won a puzzle' to make automated farming more difficult and is awaiting a refund from Google.

The discovery highlights a significant vulnerability in automated ad platforms where simple install goals can be exploited by sophisticated bot operations. This practice not only wastes advertiser budgets but also corrupts the data used by algorithms to optimize campaigns, creating a self-defeating loop. The developer's pivot to a more complex goal, 'won a puzzle,' suggests a potential defensive strategy for smaller developers who may not have the resources to manually vet every install or engage in lengthy disputes with ad platforms.

This situation signals a broader challenge for the app advertising ecosystem, particularly for small and medium-sized businesses that rely on these platforms for user acquisition. The ease with which bot farms can exploit install-based optimization underscores the need for greater transparency and more robust fraud detection mechanisms from ad providers like Google. Developers must remain vigilant, scrutinize their install data, and consider setting more nuanced conversion goals to ensure their ad spend is directed toward genuine user engagement rather than artificial activity.