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TikTok Shop Product Research Template

Record one product candidate from first signal to go, test or stop. The sheet keeps dated evidence, cost assumptions and the next decision in the same place instead of treating a trend as proof of demand.

Decision rule: Do not move to sourcing until at least two independent demand signals support the candidate, contribution is positive before ads and the product has a compliant, testable content angle.

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What is inside this template?

Dated demand, search and trend evidence
Competition, creator and listing-crowding checks
Buyer problem and first-three-second demo angle
Contribution-before-ads and break-even ROAS formulas
Policy, margin, content-test and go / stop fields

How to use it

  1. 1

    Create one row per candidate and record the market, date and source URL before interpreting the signal.

  2. 2

    Separate attention from demand: use official discovery surfaces for hypotheses, then add buyer language, supply, policy and cost evidence.

  3. 3

    Replace the illustrative row with your own landed-cost assumptions; if contribution is negative before fixed costs, stop even when the product is popular.

  4. 4

    Set a small content or sample test, a review date and a decision rule. Archive rejected candidates so the team does not repeat the same research.

The quality check before you publish

A template is only useful when the fields lead to a decision. Delete any column you will not review, assign an owner and add a date for the next check. This keeps the document operational instead of turning it into a static worksheet.

References and methodology

We use primary documentation where available and treat calculators as planning aids, not guarantees. Check the linked source when a platform changes its rules.

Next step with GrowthGPT

Turn this answer into a repeatable growth workflow.

Use the free result as your starting point, then move the next campaign, creative or growth decision into GrowthGPT when the work becomes repetitive.

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