AI Optimization•2023
How We Save AudioMob $100K Every Month
AudioMob's ad bidding system was burning money. They needed someone to optimize their real-time bidding pipeline without breaking campaign performance.
Client: AudioMob
$100K+
Monthly Savings
3 months
Time to ROI
+40%
Bid Efficiency
The Problem
AudioMob's ad bidding system was burning money. They needed someone to optimize their real-time bidding pipeline without breaking campaign performance.
The Outcome
Built a custom AI optimization algorithm that cuts ad spending by $100K+ every month while maintaining the same campaign results.
How We Did It
Developed a custom AI bidding optimization algorithm using TensorFlow and Python that dynamically adjusted bidding strategies based on impression-level data and campaign goals.
Technology Stack
TensorFlowPythonBeeswax DSPMachine Learning
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