{
 "slug": "what-gen-z-searches-on-tiktok",
 "page": "/guides/what-gen-z-searches-on-tiktok/",
 "studyDesign": {
  "recordedOn": "2026-10-05",
  "recordedAt": "2026-10-05T12:39:09Z",
  "recordedBefore": "any audience_demographics call was made for this study",
  "question": "Which everyday TikTok searches skew towards 18 to 24 year olds, and which skew older, in the age shares TikTok reports for each search?",
  "sampleFrame": "Same frame and rules as the Q3 2026 search report (/evidence/tiktok-search-report-q3-2026-dataset.json): typed searches only (house rule 7), from TokConnect's daily topic archive of 26 September to 5 October 2026.",
  "selectionRule": "The first 5 picks in each of the 10 categories of the Q3 report's ranked list (ranked by days seen in our archive, then 7-day figure, with near-duplicates skipped). Dance & music has only 3 eligible searches, so 48 topics in total.",
  "categories": [
   "Beauty & fashion",
   "Food & drink",
   "Home",
   "Tech & apps",
   "Books & reading",
   "Dance & music",
   "Health & fitness",
   "Money, work & study",
   "Travel",
   "Self-help & faith"
  ],
  "topicCount": 48,
  "pull": "TokConnect MCP audience_demographics(query_id, days='30'), one call per topic, sequential with a pause between calls, 5 October 2026. Global (TikTok's panel has no country filter in this call).",
  "whatTheSharesAre": "TikTok's Creator Search Insights audience panel splits the people who searched a topic in the window into age buckets: 4-15, 16-17, 18-24, 25-34, 35+ and 'others'. Each bucket is a count on the same scale as search popularity; 'total' is the sum of all buckets including 'others'. 'others' is people TikTok could not or did not place in an age bucket.",
  "metrics": {
   "share18to24": "PRIMARY. 18-24 count / (total - others) x 100: the share of the searchers TikTok placed in an age bucket who are 18 to 24",
   "share16to17": "16-17 count / (total - others) x 100, where TikTok reports the bucket",
   "shareUnder18": "(4-15 + 16-17) / (total - others) x 100, reported as TikTok labels the buckets",
   "share25to34": "25-34 / (total - others) x 100",
   "share35plus": "35+ / (total - others) x 100",
   "othersShare": "others / total x 100: how much of the panel has no age; reported for every topic",
   "share18to24InclOthers": "18-24 / total x 100, shown so readers can see the effect of leaving out 'others'",
   "genderFemaleShare": "female / (total - unknown) x 100, secondary only"
  },
  "smallSampleRule": "Flag a topic as small-sample if its reported age total is under 50,000; leave it out of youngest/oldest rankings and category medians if under 10,000. Also leave out any topic whose 'others' share is over 60%.",
  "analysisPlan": [
   "Youngest-skewing: rank by share18to24 (ties by shareUnder18).",
   "Oldest-skewing: rank by share35plus.",
   "Category patterns: median share18to24 and median share35plus per category.",
   "Report the median topic and the spread, so readers can judge what 'skews young' means against the sample itself.",
   "Never describe these as shares of all Gen Z or of TikTok users: they are shares of each topic's searchers in the 30-day window, as TikTok buckets them. Typed searches only; no topic labels."
  ]
 },
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  "notePanelScale": "Panel totals are TikTok's own counts for the 30-day window and are not on the same scale as the daily search-popularity readings, so they are used only to compute shares and to flag small samples.",
  "q3ReportFlaggedTopics": "'oklahoma city from above' and 'movie night villa usa' have implausibly large single-day popularity readings in the Q3 report; their audience panels look normal and are kept here, marked in the table."
 },
 "changesAfterSeeingData": [
  "None to the metrics or rankings. We added the note on panel scale after seeing that panel totals do not match search-popularity readings."
 ]
}