A creator-content strategy needs evidence about customers, products and economics, not a universal budget percentage.

Editorial correction: an earlier version inferred wasted spend from the share of brands without a formal UGC strategy. That inference was not supported. This update replaces it with clearly scoped TikTok Shop research.

Here is what the evidence can and cannot tell a brand deciding its next creative test.

The data and its limits

  • Our shelf-life analysis covers 14,200 US top-selling videos and 27,275 video-weeks from September 3 to October 2, 2026.
  • The figures use estimated market data from a selected top-selling sample, not all brand content or an experiment comparing UGC with studio production.

The study cannot calculate the share of global content budgets that is wasted.

What the research actually shows about UGC

The findings suggest useful questions for a test, with important qualifications:

  • 27.6% of estimated revenue in the shelf-life sample came from videos more than 30 days old.
  • 13.3% of estimated revenue came from videos over 90 days old. These are surviving top performers, not the expected results of new videos.
  • Paid support overlaps with content performance. The separate paid-promotion study reports associations, not incremental sales caused by advertising.
  • Creative comparisons are hypotheses. Our video-openings research can inform briefs, but does not guarantee a conversion uplift.

The scale of the opportunity

The opportunity for an individual brand depends on its product, audience, rights costs, distribution and margin. A global spending estimate cannot decide how much that brand should invest.

Start with a bounded experiment and a clear decision rule for expanding it.

The biggest opportunity isn't creating new markets — it's redirecting existing spend to what actually works.

When a scalable UGC program can help

  • Retain useful assets. Keep proven videos available while testing new ideas; neither creator nor brand content has a guaranteed lifespan.
  • Measure the full production cost. Include samples, fees, rights, editing and management rather than assuming creator content is always cheaper.
  • Match the creator to the product. Credible experience and a useful demonstration matter; participation alone does not guarantee advocacy or sales.
  • Plan for compliant distribution. Secure usage rights, apply required disclosures and use supported ad workflows. Production style alone does not determine reach.

Measure creative before reallocating budget

Compare alternative creative approaches on the same product and a consistent outcome window. Record audience, offer and paid support so that a difference is not automatically credited to the format.

Platform-attributed GMV is useful for operations, but it is not profit or proof of incremental sales. Include refunds, fees and ad spend in the decision.

What this means for your 2026 content budget

Three questions every CMO should be asking:

  1. What will we learn from the next creator-content test? There is no evidence here that a budget share below 20% is wasted.
  2. Do we have the operational infrastructure to deploy creators at scale, or are we trying to do it in-house? Most brands underestimate how operationally heavy this is.
  3. Are we separating reach, attributed GMV and contribution? Each answers a different question; none alone proves that a creative strategy works.

MediaLabs operates as a managed TikTok Shop agency with 3,000+ creators in our network. Our case studies are real creator programs with real ROAS numbers. If you want to redirect a meaningful portion of your content budget toward what actually works, let's talk.