YouTube Ads experimentation agent

Runs a small number of YouTube copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Proposes and runs controlled tests of new YouTube targeting, so new audiences are found deliberately rather than by accident.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on YouTube, one change at a time.

Takes proven YouTube targets and tests the adjacent ones (neighboring segments and topics, optimized targeting) to find the next layer of scale.

Measures how many YouTube conversions your ads truly drive and recalibrates targets with the result.

Uses native split tests to prove whether a different YouTube bid strategy or target actually beats the current one.

A test-and-learn loop for YouTube ads: build new image variants in Figma, Canva or Runway and new video in Runway or Google Veo from the winning angles, test each against the current best with a fixed split, and retire the losers once there is enough data. Needs a video MCP such as Runway or Google Veo connected in Roadway.