CASE STUDY

Claude Code spotted hidden ROI
in a failing off-Amazon ad test

helping an FBA private-label seller scale in a competitive niche

May 2026 · 7 min read

Reading off-Amazon ad results with Claude Code

Mid-May 2026. A US seller — solo operator, 6-figure annual revenue — sat down to review his first off-Amazon advertising test. Four weeks through April: four placements, four different dog creators on Instagram, TikTok, and YouTube. The product: a smart GPS + health-tracking dog collar at $150.

He runs his Amazon ads himself — no agency, no PPC manager on staff. His Amazon campaigns are dialed in: top keywords captured, budgets allocated where they convert, target ACoS holding. But every extra dollar on Amazon now brings less back. He wanted to see whether a different channel could move units that his Amazon ads no longer could.

Data on the platform

PROPAMP AI is a next-gen inventory management and profit tracking platform.

All four influencer campaigns were on the platform from day one — logged as Manual Campaigns, tagged through Amazon Attribution, with clicks and sales feeding in automatically. Internal Amazon ads, Google, Meta, and influencer placements all line up in the same reports.

Wrapping up the test

The seller works with Claude Code — Anthropic's AI agent that runs locally on his computer with access to read and edit his files. Every test he runs gets documented in the chat — assumptions going in, the data, what he decided afterward. The agent carries the context forward.

When the seller sat down to close out the influencer test, he opened the conversation:

Seller:

"pull the influencer test data from propamp. looks like a bust - ads aren't paying off"

The agent connected to the PROPAMP AI MCP server (Model Context Protocol — what lets an AI agent pull data directly from connected software), pulled the campaign data, and came back:

Claude Code:

"Pulled the data. The 74% External ACoS is accurate — that's just direct attribution inside Amazon's 14-day window. Anything that converts later, plus any ranking boost from the extra sales velocity during the test, lands in non-attributed sales instead. Total tACoS captures all of it. Worth looking at week by week before closing this out."

The seller opened the Statistics and Metrics report inside PROPAMP AI to verify. One click on weekly granularity. There it was — Internal, External, and Total ACoS and tACoS, side by side. The check took under a minute.

tACoS dropped from 14.0% to 10.7%. Non-attributed sales — Total revenue minus Amazon-internal ad sales minus externally attributed sales — went from $4,464 per week to $7,200 per week. Nothing else had changed. Same Amazon campaigns. Same prices. Same listings.

The agent kept going:

Claude Code:

"Post-test week 2 is the cleanest read. The last 14-day attribution window from the test closes before that week starts, which rules out late conversions. tACoS still reads 10.7% though — which only leaves ranking. Four weeks of higher sales velocity pushed the listing up, and it's holding past the test."

What comes next

Next on his list: three more tests across his other products — different price points, different influencer pools. Same setup, same metric stack.

Before kicking those off, he checked the GPS collar's keyword rank history in his rank tracker. It confirmed the agent's read: main keywords climbed during the test and held position into the post-test weeks.

If External ACoS reads high again on the next influencer tests, the seller now knows what that number is — direct attribution inside the 14-day window — and what other metrics to check before closing the test.

Setup

Claude Code by Anthropic -
$100/month

‍PROPAMP AI + MCP server -
connects the agent to everything inside the platform: live ad performance data PROPAMP AI pulls from Amazon (Amazon Ads campaigns plus Amazon Attribution for off-Amazon clicks and sales) and from Google/Meta ad accounts, plus manual influencer campaigns the seller logs by hand -
$47/month

Time spent on the test wrap-up with the agent's analysis included:
~10 minutes.

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