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Microsoft (Bing) Ads experimentation agent

Microsoft (Bing) Ads experimentation agent

A Bing Ads agent focused on experimentation. It handles experimentation on Bing Ads. It owns one ad channel end to end.

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Workflows by category

A roster of 9 experimentation workflows for Microsoft (Bing) Ads, with overlapping versions removed. Start with the Basic essentials and add each level as you grow.

Standard essentials · 3

Runs a small number of Microsoft (Bing) copy tests at a time, one variable per test, and promotes a winner only on cost per goal.
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Proposes and runs controlled tests of new Microsoft (Bing) targeting, so new audiences are found deliberately rather than by accident.
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Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on Microsoft (Bing), one change at a time.
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Added at Advanced · 3

Finds organic pages that convert visitors well but rank low, using rankings from the Semrush or Ahrefs MCP, and launches paid search campaigns to buy the traffic SEO cannot win yet. Add the Peec AI MCP to include pages that AI answers do not cite. Needs the Semrush or Ahrefs MCP connected in Roadway.
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Finds the Microsoft (Bing) 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.
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Takes proven Microsoft (Bing) targets and tests the adjacent ones (related keywords, broader match types, similar audiences) to find the next layer of scale.
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Added at Expert · 2

Builds draft landing page variants from the ad angles that win on Microsoft (Bing), 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.
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Uses native split tests to prove whether a different Microsoft (Bing) bid strategy or target actually beats the current one.
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Added at Mad Max · 1

Writes new responsive search ad headlines and descriptions from your winning angles, tests each against the current best with a fixed split, and retires the losers once there is enough data.
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