Guides

Everything we know about turning a raw Cerebro export into a niche decision — written for sellers who already have the data and no method. Start with “You ran Cerebro. Now what?”

• You ran Cerebro. Now what? The 5 steps between 10,000 keywords and a decision

  The exact method for turning a raw Helium 10 Cerebro export into a shortlist of niche candidates: collapse phrasings, read provenance, find demand-vs-titling outliers, verify on the page.

• How to read a Cerebro export: every column explained (and the data traps inside)

  What each column of a Helium 10 Cerebro CSV actually means — Search Volume, IQ Score, Competing Products, CPR, Title Density, provenance columns — plus the formatting traps that silently break spreadsheet analysis.

• Smart Complete, Organic, Amazon Recommended: the Cerebro relevance filter nobody reads

  The three provenance columns in a Cerebro export tell you how each keyword was found — and they work as a free relevance prior: Smart Complete tends to be on-topic, organic-only keywords are often noise, Amazon Recommended is precise long-tail.

• Title Density explained: what it measures, and the low-TD trap

  Title Density counts how many page-1 listings contain the exact phrase in their title. Low TD with real demand is either an opportunity or an irrelevant phrasing — here is how to tell, and why families need the MAX rule.

• 10,000 keywords from one Cerebro export: how to shrink the list without losing the market

  Plurals, word order and sizes fragment one demand across dozens of rows. Collapsing keywords into demand families — deterministically, with a sub-merge bias — is the only honest way to read a big Cerebro export.

• Analyzing a Cerebro export in Excel: how far a spreadsheet actually gets you

  A step-by-step spreadsheet workflow for Helium 10 Cerebro exports — cleaning floors and separators, provenance triage, demand-vs-TD flags — and the three walls where Excel stops.

• A complete Amazon niche research method: from one seed word to a proof-backed decision

  The page-proof method end to end: seed word, Cerebro import, family collapse, three readings, page-1 segmentation, and tracking product concepts with proof status — principles included.