Case Study · Tafura
How we diagnosed a CTR problem on Amazon — without guessing.
Tafura sells kitchenware on Amazon. Some of their products' click-through rate was tanking and they didn't know what to fix.
Change the images? Rewrite the title? Rework the description?
Without knowing what was turning buyers off, any change was a guess — and could be potentially costly.
We tested their products against their Ideal Customer Profile. The findings were specific — they knew exactly what to change, where, and how.
Benefits they got from us:
Saved months of testing listing changes that may not have worked.
Instead of running experiments blind, every change was informed by real buyer feedback from day one.
Every change backed by actual feedback.
No assumptions. No gut calls. The data came directly from people who matched their buyer profile.
Knew exactly which product elements were costing them clicks.
Images, title, description — they left with a precise diagnosis, not a list of things to try.
"They didn't need to run experiments for months. They needed to know what their buyers actually saw when they landed on the listing — and that's exactly what we gave them."
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