Choose a clear denominator
Decide whether the report uses approved, shipped or delivered samples. Delivered samples are often a more useful operational starting point when you are examining posting behavior. Mixing these definitions between reports can create apparent changes that come from the calculation rather than creator activity.
Allow a consistent observation window
A creator whose product arrived yesterday should not be evaluated the same way as one whose product arrived several weeks ago. Group samples into comparable cohorts and track their progress over time. State the observation window beside the rate so readers understand the context.
Separate posting from content volume
A creator who publishes three videos still counts once when the question is whether they posted at all. Track videos per sample separately. Keeping these measures distinct prevents a few highly active creators from hiding a large group that has not published.
Investigate the missing stages
Review delivery issues, stock changes, briefing gaps and creator communication before deciding why content is missing. Use the current platform workflow to check the sample status. A good report connects the percentage to a list of practical follow-up actions.
Connect activity with usefulness
A high posting rate does not automatically mean the content is effective. Review demonstration quality, product relevance and available commercial signals too. Sampling should create both reliable execution and useful learning about what helps shoppers understand the product.
Platform reference: TikTok Shop Academy: managing samples. Review current platform guidance before implementation.
This guide provides a planning framework, not a promise of campaign performance.
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