High-velocity testing turns traffic into customers

In under three months, a leading grocery brand moved from sporadic manual testing to a high-velocity AI-driven testing program. Result: $3.19M in incremental annualized revenue, driving over 20x ROI.

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Context: Strong team, deprioritized surface

The company had a sophisticated growth and testing operation. Strong brand in the organic food space. Experienced team running experiments across the product. But their primary landing page, despite driving significant paid traffic, had been deprioritized. Tests took weeks to design and ship when engineering capacity became available. The landing page funnel sat mostly untouched while other surfaces got attention.

They needed a way to unlock velocity on this high-value page without pulling engineering resources from other priorities.

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Conviction: AI velocity + human judgment = compounding wins

When AI generates high-quality variants at scale and humans filter for brand fit, you can run more experiments in a month than most teams run in a year. More experiments mean more learning. More learning means more revenue-driving changes reach production.

What that looks like operationally:

→ AI + human expertise produces dozens of on-brand variants.

→ Brand and growth owners approve what resonates.

→ Experiments run with proper statistical rigor (Bayesian + MAB).

→ Tests shipped within hours or days, not weeks.

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Coframe workflow: generate → approve → test → ship

1. Generate options
Coframe's AI created multiple variations for each hypothesis: hero section variations, headlines, CTAs, value props, social proof, layout changes. Every variant matched brand voice, compliance, and design standards before going live.

2. Keep humans in the loop
The growth team reviewed and approved variants using preview links: real links that show their website as a prospective user would see it during the test. Brand integrity stayed intact while velocity increased dramatically.

3. Test with rigor
Experiments ran with 20% global holdout and Bayesian statistical reads. Conversion metric: actual membership signups (not just clicks). Data verified in Amplitude. Multi-armed bandits tested multiple concepts in parallel.

4. Ship fast
Standing weekly syncs turned insights into action. No more waiting for engineering sprints. Winners went live within days.

Think of it like A/B testing at the speed of merchandising: constantly optimizing the storefront for what converts.

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What changed on the site

Core experiments across the membership funnel:

→ Campaign messaging tests: Key campaign decisions made with data-driven testing, not intuition. For example, "Healthy Reset Sale" beat "Back-to-School" by 16%+ in head-to-head testing.
→ Hero section optimization: Tested video vs. static, multiple headline angles, CTA placement. Video with pain-point-focused headlines won.
→ Trust and urgency elements: Benefit bullets, social proof, guarantee messaging tested systematically.

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Proof: velocity creates durable revenue lift

→ 50+ variants shipped in 3 months.
→ $3.19M incremental annualized revenue projected from deployed wins.
→ Minimal engineering overhead. No replatforming, no major stack changes, measurements validated in the customer's own analytics tool.

The compounding effect: each winning test became the new baseline. Then the next round of tests started from a higher bar. Velocity accelerated.

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Why Coframe fit the operation

→ AI does the creative heavy lifting automatically. Dozens of tests run per month.
→ Brand control stays tight because humans approve everything before it goes live.
→ Various statistical tools (Bayesian, MAB, segmentation) mean faster, more impactful tests.
→ Existing stack stays intact. Worked within their current analytics and deployment workflow.
→ Dedicated support. Weekly syncs, technical troubleshooting, metric alignment, continuous optimization.

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Close

Speed matters when every visitor is paid traffic. Coframe made it possible to test at AI velocity while maintaining brand quality and statistical rigor. That's how a three-month program generated millions in incremental annualized revenue and built a repeatable system for continuous optimization.