Julius Gromyko
AdTech AI Autopilot Cover

AI Autopilot for Ad Campaigns

Fully automated advertising arbitrage system optimizing ROI without manual intervention.

Dashboard Interface

The Challenge

Managing arbitrage campaigns across multiple ad networks is labor-intensive. Marketers spend hours adjusting bids, killing efficient creatives, and scaling winners. We wanted to build a "set and forget" system.

The Solution

Developed an AI Autopilot using Node.js and ML:

  • Automation: Users upload creatives and define CPA/ROI goals. The system automatically launches tests across networks.
  • Optimization: Real-time analysis of click-through and conversion rates to dynamically adjust bids.
  • Scaling: Automatic budget reallocation to winning ad sets and termination of losing ones.
  • Integration: Unified API connecting to Facebook Ads, Google Ads, and native ad networks.
Campaign Analytics

Results & Impact

  • Efficiency: Reduced campaign management time by 95%.
  • Performance: Achieved 25% higher ROI compared to manual buying.
  • Scale: System successfully managed thousands of concurrent ad groups.

Tech Stack

Node.js R-lang MongoDB Redis
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