How to read an opportunity score

Opportunity scores help prioritize research; they do not replace sample quality, category context, or professional judgment.

Purple gradient arc illustration.

An opportunity score is most useful when it explains which signals contributed to it.

Read the inputs together

Demand, competition, product coverage, and trend answer different questions. Treating any one signal as a recommendation creates false certainty.

Prioritize follow-up research

Use high-potential scores to decide what to validate next: product positioning, the search-result cohort, or a related long-tail query.

MAKOMZ on your home screen.

  1. Open this site in Safari.
  2. Tap Share.
  3. Choose Add to Home Screen, then Add.