Guide

A worked example of interpreting X follower bio search results

Separate matching vocabulary from the meaning of reviewed bios. In this hypothetical example, 40 collected profiles match a research term; a manual review treats 24 as relevant descriptions, 10 as another context and 6 as uncertain. The result is a qualified research note, not a verified count of professionals.

The answer in full

A bio search result is a starting point for interpretation, not a verified audience trait. This worked example uses invented teaching inputs: a researcher finds 40 matching profiles in a collected audience of 500. Reading the bios, they judge 24 descriptions relevant to the research question, 10 to concern another context and 6 to remain uncertain. The raw match share is 8%, calculated as 40 divided by 500. The reviewed relevant descriptions represent 4.8% of the collection, but this is a manual judgement about text rather than a verified professional classification. Revealed's Free profile search supports exploring collected profiles; the three review groups here are teaching categories, not an automatic feature. Alternative vocabulary, sparse bios and people outside the collection limit the conclusion. Preserve the wording and review rule so another reader can assess the interpretation. Report the uncertain group explicitly, and avoid turning nonmatches into proof that someone lacks the interest. Use the findings to refine a research hypothesis rather than estimate customer demand.

At a glance

Hypothetical manual review of 40 matches
Review groupCountReporting boundary
Relevant description24Researcher's text interpretation
Other context10Matches the term, not the intended meaning
Uncertain6Remain unresolved
Raw matching profiles40 / 500 = 8%Vocabulary matches in the collection

Define what relevant means

The lesson uses hypothetical counts and manual review categories. Imagine the research question concerns a professional role. A matching term may instead describe a company, quoted phrase or unrelated activity.

Write a review rule before reading examples. Even when a description appears relevant, it remains self-reported text rather than evidence of a current credential.

Keep matches and interpretations separate

The 40 matches describe vocabulary in this hypothetical collection. The 24 relevant descriptions add a researcher's judgement. Six unresolved cases should remain visible rather than being forced into a yes or no answer.

Search vocabulary may omit synonyms and multilingual descriptions. The 460 nonmatches cannot all be classified as having no relevant role or interest.

Report a hypothesis with evidence

The resulting note gives the source collection, search term, review rule, counts and uncertain cases. It avoids claiming that 4.8% of all followers are verified professionals.

Use the observation to decide what to investigate next. Direct customer evidence and actual campaign response are needed for questions about demand or performance.

What to keep in mind

  • All counts and review outcomes are hypothetical.
  • Manual categories are not automatic Revealed outputs.
  • A match does not verify a job, credential, interest strength or purchasing intent.
FAQ

Common questions

01Are the review categories built into Revealed?

No. They illustrate a manual interpretation of collected profiles, not an automatic classification feature.

02Does a nonmatch mean a follower is irrelevant?

No. Alternative wording, sparse bios and missing information can all prevent a useful match.

03Does Revealed upload the followers I scan?

No. Scans run in your own browser and the audience data (profiles, bios, analytics and exports) stays in Chrome extension storage on your device. Revealed’s servers only handle your account, plan and billing.

04Can scanning with Revealed get my X account suspended?

It's possible. Revealed reads follower lists through your own signed-in X account, and X restricts automated access to its service. X can challenge, restrict or suspend accounts it believes are automated, including linked accounts. Revealed only reads data and paces scans to reduce the risk, but it can't control X's decisions. Keep scans modest, stop if X shows you a challenge, and avoid scanning from a business or client account.