How to Find Keywords That Amazon Recommends You Use for PPC
Helium 10’s Cerebro now adds an “Amazon Recommended” toggle that, in a multi‑ASIN search of up to 20 ASINs, flags the exact keywords Amazon’s engine suggests for Sponsored Products. Each term shows monthly search volume, a relevance score out of 100 and a bid range (e.g., $0.78‑$1.02). Early adopters report a 15 % ACOS reduction within two weeks.
Overview
Helium 10’s Cerebro now highlights the exact keywords Amazon’s own advertising engine recommends for Sponsored Products, a feature that appears when sellers run a multi‑ASIN search. The tool surfaces each suggested term together with search volume, relevance score and a bid range, allowing advertisers to build campaigns that mirror Amazon’s internal guidance. Sellers who adopt these Amazon‑approved keywords can tighten ad relevance, lower ACOS and improve product visibility without the time‑consuming manual research traditionally required.
Key Points
- Direct Amazon recommendation — Cerebro flags the precise keywords that Amazon’s algorithm suggests for a given product, eliminating guesswork and aligning campaigns with the platform’s own priorities.
- Multi‑ASIN analysis — The insight is generated across up to 20 similar ASINs in a single query, enabling side‑by‑side comparison of recommendations for an entire product family such as a line of wooden serving bowls.
- Rich data per keyword — Each recommended term is accompanied by monthly search volume, a relevance rating out of 100, and an estimated bid range, giving sellers a ready‑to‑use data set for immediate campaign creation.
- One‑click export — Users can download the full list as a CSV file or push keywords directly into a new Sponsored Products ad group, streamlining the workflow from research to activation.
- Time‑saving shortcut — By delivering Amazon‑approved terms in a single view, Cerebro removes the need to scrape competitor listings, reverse‑engineer bid amounts, or rely on generic third‑party keyword generators.
- Early performance gains — Early adopters report tighter keyword relevance, which often translates into lower cost‑per‑click, higher click‑through rates and a measurable drop in ACOS within weeks of implementation.
How Amazon‑Recommended Keyword Feature Works
- Start a multi‑ASIN search — Input up to 20 ASINs that belong to the same product category; for example, entering B07XYZ1234 and B08ABC5678 lets Cerebro compare the keyword ecosystems of two wooden bowl listings.
Analysis & Recommendations
Why This Matters
Using Amazon‑approved keywords lets sellers align bids with the platform’s own relevance signals, cutting wasted spend and lowering ACOS. The feature’s bulk CSV export and one‑click campaign push streamline workflow, enabling faster test cycles and measurable lift in CTR and conversion rates.
Key Takeaways
- The “Amazon Recommended” toggle works in Cerebro multi‑ASIN searches of up to 20 ASINs.
- Each suggested keyword includes a relevance score (e.g., 85/100) and an estimated bid range such as $0.78‑$1.02.
- Early users saw a 15 % drop in ACOS and higher conversion rates within two weeks of implementation.
- Keywords can be exported as CSV or pushed directly into a new Sponsored Products ad group with one click.
Recommended Actions
- →In Helium 10 Cerebro, run a multi‑ASIN search (max 20 ASINs) and enable the “Amazon Recommended” filter.
- →Select high‑relevance keywords (score >80) and click “Export CSV” or “Add to Campaign” to create a Sponsored Products ad group.
- →In Seller Central > Advertising > Campaign Manager, import the CSV or review the auto‑created ad group, then adjust bids based on early CPC and ACO...
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