From “more traffic” to “more profit”

In less than four months, L-Nutra’s Prolon Life product moved from sporadic testing to a weekly, profit-focused cadence using Coframe’s AI + human-approval workflow. Result: a 21% conversion lift on winning variants and $1.5M+ projected incremental annualized profit in just four months, yielding over 27x ROI.

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Context: Unsatisfying results from outsourced CRO

L-Nutra had momentum. Rising demand for fasting and longevity. But experiment velocity wasn’t where they knew it could be. Ideas piled up, shipping lagged, and engineering time was tight. The existing CRO agency they were working with wasn’t keeping up with their growth. The team knew there was more value in their existing traffic and wanted an AI-driven program that could scale without changing the stack.

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Conviction: AI-run tests with Bayesian reads compound faster

When you let AI generate high-quality variants and you use Bayesian statistics to pick winners, you iterate faster. Faster iteration means more profit-positive changes make it to production.

What that looks like day to day:

→ AI generates multiple on-brand variants for each idea.

→ Humans approve what fits the voice.

→ Experiments run and are read on profit per visitor.

→ Bayesian reads call winners sooner so shipping does not stall.

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The Coframe workflow: generate → approve → ship

1. Generate options
Coframe produced multiple on-brand variations for each hypothesis across copy, visuals, and hierarchy.

2. Keep humans in the loop
Brand and growth owners approved variants in-app so the voice stayed consistent.

3. Test for profit
Experiments ran in Intelligems to optimize for profit per visitor, not only CVR.

4. Ship weekly
A standing cadence turned learning into habit and cut meeting time.

Think of it like merchandising a storefront for each visitor. Same products, better fit. The decision feels obvious.

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What changed on the site

→ Clarified offer framing and bundle value on the primary path.

→ Reordered homepage and PDP narratives to surface benefits sooner.

→ Added checkout trust cues and simpler payment prompts.

→ Cleaned up mobile layout and microcopy to remove small friction.

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Proof: velocity and profit

→ Dozens of variants shipped in four months.

→ 21% conversion lift on winning variants.

→ $1.5M+ incremental annualized profit projected from deployed wins.

→ Fewer engineering cycles to get changes live.

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Why Coframe fit the stack

→ AI creates the heavy-lift options automatically.

→ Brand stays consistent because approvers sign off in-app.

→ Tests run in Intelligems for profit-based decisions.

→ Shopify stack stays intact, no replatforming.

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Close

Relevance converts. Coframe made it fast to generate on-brand variations, approve them, and test for profit. That is how L-Nutra turned stalled tests into durable profit velocity.