Google Display Ads experimentation agent

Runs a small number of Google Display 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 Google Display 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 Google Display, one change at a time.

Finds the Google Display campaigns where the landing page is the problem, drafts a challenger page in your page builder, and lays out a controlled test against the current page. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy connected in Roadway.

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

Builds draft landing page variants from the ad angles that win on Google Display, so each winning promise has a page that matches it. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy connected in Roadway.

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

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

A test-and-learn loop for Google Display ads: draft new image variants in Figma, Canva or Runway from the winning angles, write a brief for any video, test each against the current best with a fixed split, and retire the losers on cost per goal once there is enough data. Needs an image MCP such as Figma, Canva or Runway connected in Roadway.