MTailor
Overview
Ecommerce Retailer Accelerates ROAS with COOL AI
MTailor, a custom clothing retailer, wanted to drive stronger ecommerce performance from an active paid media campaign.
Starting at a 0.66× ROAS, just $0.66 in revenue for every $1 spent—MTailor put COOL AI to the test. The goal: determine whether continuous AI optimization could step into a live campaign, uncover new performance opportunities and drive higher returns without starting over.
COOL AI continuously learned from live campaign signals, making ongoing adjustments as performance changed to help every media dollar work harder.
Strategy
Learn. Adjust. Optimize. Repeat.
COOL AI stepped into MTailor’s existing campaigns without pausing, rebuilding or disrupting what was already running. From there, it continuously monitored performance and made thousands of real-time adjustments based on what was working—and what wasn’t.
Instead of waiting days or weeks for the next manual campaign review, COOL AI could respond as performance changed: cutting wasted spend, refining who and what to target, adjusting bids, and shifting budget toward stronger-performing opportunities.
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1,600+ real-time adjustments across the live campaign
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Refined targeting and search terms based on what was driving results
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Removed low-value keywords that were consuming budget without converting
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Shifted budgets toward campaigns and opportunities delivering stronger performance
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Adjusted bids and cost-per-click strategies as performance changed
Results
More Clicks. More Conversions. Stronger ROAS.
No single adjustment drove the result. The advantage came from AI agents making thousands of interconnected decisions as the campaign evolved—identifying where to act, where to shift investment and where to pull back.
By continuously learning from live campaign performance and using shared intelligence to act on those signals faster than a human team could manually, COOL AI drove stronger performance from the existing campaigns—more traffic, more conversions and higher ROAS.
ROAS improvement
0.66× to 1.10×
