About
Built for Apple Search Ads operators
Keenbid was founded by mobile growth operators who spent years running Apple Search Ads manually. We built the tool we wished existed — one that brings statistical rigour to bidding without requiring a data science team.
Our mission
Apple Search Ads is one of the highest-intent ad channels available to mobile developers. A user who searches for your category and taps your ad is far closer to converting than almost any other paid source. Yet most teams manage it with spreadsheets, manual bid reviews, and gut feel.
Keenbid exists to change that. We apply Bayesian inference, intent classification, and automated guardrails to give every app developer — from indie studios to enterprise — the bidding intelligence that was previously only available to teams with dedicated machine learning engineers.
What we believe
Performance over vanity
We measure success by ROAS, CPI, and LTV — not impressions or tap volume. Every feature we ship has to move one of those needles.
Safety by default
AI-driven bidding is only valuable if it's predictable. We built guardrails into the core of our engine, not as an afterthought.
Global from day one
Apple Search Ads spans 60+ storefronts. We built Keenbid to handle multi-market operations from the ground up — not retrofitted.
Operators, not just data scientists
Our users are growth managers and UA leads. The product has to be actionable by people running campaigns, not just engineers.