Ranking better by deleting two thirds of the keywords
Sessions +10% after pruning
Four years of “add it, it can't hurt” had stuffed every backend field and title with terms the products had nothing to do with. Relevance is a ratio, and theirs had collapsed.

At a glance
- Category
- Electronics
- Marketplaces
- US
- Revenue at start
- $402k / month
- Finding
- Average listing indexed for 1,900 terms, two thirds irrelevant
- Engagement
- Listing SEO + PPC
- Timeframe
- 6 months
Results
The challenge
Every quarter someone had added keywords. Competitor brand names, adjacent product types, misspellings of things the brand doesn't sell, seasonal terms from a promotion two years ago — all of it accumulating in backend fields, titles and bullets because removing a keyword feels like removing an opportunity.
It isn't. A listing that appears in searches it cannot satisfy collects impressions without clicks and clicks without orders, and both of those tell the ranking algorithm that this listing is a poor answer. The catalog was slowly teaching Amazon to distrust it, and the visible symptom — falling sessions while the ad account looked fine — read to the team as a competitive problem.
Our approach
We measured each term's contribution and deleted the ones that were costing relevance.
- Per-term audit — impressions, click-through and conversion for every indexed term, per ASIN, over twelve months.
- Deletion criteria agreed in advance, because the argument “but what if someone searches it” has to be settled by data rather than by seniority.
- Titles and bullets rewritten around what remained, which also made them readable for the first time in years.
- Advertising negatives aligned with the pruned set, so paid traffic stopped reinforcing the same irrelevance.
How we worked
- 1
Term-level export
Twelve months of search-term and query-performance data pulled per ASIN, so every indexed term had impressions, click-through and conversion against it.
- 2
Deletion criteria
Thresholds agreed before anyone looked at a specific keyword, so the cut was a rule rather than an argument about someone's favorite term.
- 3
Backend and title rewrite
Surviving terms rebuilt into readable titles and bullets; the backend fields kept only what the product genuinely answers.
- 4
Negative alignment
Paid campaigns negated the removed terms, so advertising stopped feeding the same irrelevance back into the listing.
- 5
Eight-week watch
Rank and sessions tracked per pruned ASIN before the next wave, so a wrong deletion would surface on a handful of listings rather than the whole catalog.
Inside the ad account

Anonymized account view, rebuilt from the figures reported above: ad sales growing from $181k to $275k a month while ACoS falls from 32% to 22% across the 6-month engagement.
The results
Cutting indexed terms from 1,900 to 620 per listing raised sessions 10% — far fewer searches entered, and a much larger share of them won.
Conversion rose 38% for the same reason: the traffic arriving now matches what the products are. Revenue grew 52% in six months with no new products, no price changes and a slightly smaller advertising budget. The counter-intuitive part is the whole lesson — in a relevance-ranked marketplace, appearing in a search you lose is not free.
“Every keyword in there had been added by someone reasonable. Together they were telling Amazon we were nothing in particular.”
Services we delivered
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