A/B Testing
New content tested every month. Listing quality is not a one-time project.
What actually gets tested
One variable at a time, against a real traffic split — the main image, the title, the order bullets appear in, an A+ content module — not a full redesign thrown up and judged on a gut feeling a week later. Changing everything at once tells you nothing about which change actually moved the number.
We wait for a real sample size before calling a winner. A few days of noisy data isn't a result, it's a coin flip that happened to land a certain way.
Why this runs every month, not once
A listing that converts well today can quietly stop converting as competitors update their own images and copy. Testing on a fixed monthly cadence catches that drift before it shows up as a conversion rate that's fallen and nobody noticed why. It's the same reason we manage bids by hand instead of trusting an algorithm to get it right once and leave it — see how we run PPC for the rest of that approach.
Proof, not projections
Five accounts, with the before-and-after numbers as reported by Amazon Business Reports.
$41,816 → $91,572/mo
+119% revenue in the first month, on nearly flat ad spend.
$174K → $388K/mo
+135% average monthly sales in the first month of management.
4.02% → 8.20% conversion
+104% conversion in 30 days, with sales holding almost flat as traffic normalized.
$7,993 → $10,642/mo
+33% sales month over month, the first full month after onboarding.
$2,381 → $6,546/mo
+175% sales from a cold launch, in two months.
Not sure which of these you need?
That's what the audit is for. Twenty minutes with Dale in your live account and you'll know what's worth fixing first.