D2 United States Creator Commerce Methodology
D2 separates official platform facts, observed market samples, derived metrics, inference, limitations, and editorial guidance so every material US creator-commerce claim can be traced to evidence or a defined data snapshot.
This methodology governs content under /markets/us. It prevents platform rules, market observations, and D2 operating guidance from being blended into unsupported claims.
Source hierarchy
D2 prefers official TikTok Shop or TikTok for Business documentation for product mechanics, FTC materials for US disclosure guidance, first-party D2 evidence when available, and clearly scoped market-intelligence observations for commerce data.
Claim taxonomy
Material statements are registered as verified_fact, observed_fact, derived_metric, inference, limitation, or editorial_guidance. An observed top-N sample is never relabeled as a full-population statistic.
Sampling and metrics
The September 2026 category snapshot used in this cluster is based on the top 100 observed US TikTok Shop brands ranked by GMV from September 1–28. Summed GMV and category shares describe that sample only. Brand-level creator counts are not added together as unique US creators because the same creator may work with multiple brands.
Freshness
Fast-moving commerce observations are reviewed frequently. Platform rules are reverified when official documentation changes. Policy-sensitive disclosure claims are tied to current TikTok and FTC sources.
Publication gate
A US page is indexable only after it has a clear intent owner, US-native terminology, sufficient content, provenance, verification date, contextual internal links, claim readiness, and appropriate evidence. Data-dependent benchmark pages remain noindex when the required dataset is unavailable.
See the US market hub, US Creator Commerce Index, and creator disclosure compliance for applied examples.
Why this methodology exists
D2 separates different kinds of statements because platform rules, observed commerce data and operating recommendations do not carry the same evidentiary weight.
A page is stronger when the reader can tell whether a sentence is a current platform fact, a bounded observation, a D2 operating method or a limitation.
Evidence hierarchy
For US creator-commerce pages, D2 uses the following hierarchy:
- Official platform documentation for TikTok Shop features, creator eligibility, collaboration mechanics, disclosure tools and platform policies.
- Government or regulator guidance for US legal or regulatory context such as endorsement disclosure.
- D2 first-party operating methodology for how D2 structures recruitment, outreach, seeding, reporting and campaign decisions.
- Registered market data snapshots for numerical observations that D2 has actually collected and bounded.
- Limitations that state what the evidence does not support.
A lower-quality source is not used to override a current higher-authority source on the same factual question.
Claim types
D2 distinguishes:
- verified fact — a factual statement supported by an authoritative source;
- observed fact — a statement derived from a defined dataset or sample;
- editorial guidance — D2's operating recommendation or decision framework;
- limitation — a statement explaining the boundary of an observation.
This distinction is important because a recommendation should not be presented as if it were a platform rule, and a sample observation should not be presented as if it described the full market.
Official platform facts
TikTok Shop rules and feature mechanics can change. D2 therefore records verification dates and uses official US documentation for platform-sensitive claims.
Examples include creator eligibility, Open and Target Collaboration, commission configuration, flat-fee collaboration and Spark Ads authorization.
When the source changes materially, the affected page should be re-verified rather than simply updating the date.
Current US observed commerce sample
The current registered US category observations use a top-100 TikTok Shop brand sample ranked by GMV for September 1–28, 2026.
The summed observed GMV in that sample is $221,526,917.26.
Registered category shares in the sample include:
- Womenswear & Underwear: 25.20%;
- Beauty & Personal Care: 23.30%;
- Shoes: 7.36%;
- Home Supplies: 7.33%;
- Sports & Outdoor: 6.32%.
These values are tied to the stated sample and period.
Why the sample is not total-market data
The sample is ranked by GMV, so it intentionally overrepresents commercially leading brands. It is not random and it does not include every seller.
Therefore D2 does not use it to claim:
- total US TikTok Shop GMV;
- total category market share;
- average or median seller performance;
- unique creator population;
- creator GMV distribution;
- creator-rate distribution;
- top creator rankings.
Those questions require different datasets.
Platform ranges are not market benchmarks
A platform may document the minimum and maximum values that a seller can configure. That is a platform constraint.
It is not evidence of what the market usually pays, what a typical creator accepts or what rate a specific category should use.
D2 keeps those concepts separate so a technical range is not mislabeled as a market average.
Data publication rule
A quantitative benchmark should only be published when the dataset matches the claim.
For example, a creator-rate benchmark needs comparable creator fee observations with deliverable scope, rights, format, market and period. A creator-GMV benchmark needs creator-level GMV data with a defined population and observation window.
If the required dataset does not exist, D2 keeps the benchmark page unpublished rather than filling the gap with follower-based, GMV-based or anecdotal proxies.
Freshness
Different claims need different refresh cycles. Platform rules and fast-changing market observations should be checked more frequently than stable D2 operating guidance.
A verification date means the relevant evidence was actually reviewed. D2 does not refresh a date only to make content appear newer.
Corrections and updates
When a source changes or a data limitation is discovered, D2 should update the affected claim, page and evidence mapping together.
If a numeric observation is replaced by a new period, the page should preserve the new period and sample definition so readers can tell what changed.
Public-source clarity
Public pages should identify sources that directly support material claims. When D2 publishes an observed sample, the page should state the sample definition, observation period, metric and limitation clearly enough for a reader to understand the scope.
How to read the US market pages
Use the US Creator Commerce Index for current bounded sample observations. Use category pages for interpretation within those limits. Use service and decision pages for D2 operating guidance grounded in current platform rules.
The methodology exists so those layers can be combined without blurring what is known, observed, recommended or still unsupported.
FAQ
What sources does D2 use for US market pages?
D2 prioritizes official TikTok or TikTok Shop documentation for platform facts, US government or regulator guidance for regulatory context, D2 first-party methodology for operating guidance, and registered D2 data snapshots for bounded numeric observations.
How is the top-100 brand sample selected?
The current US sample contains 100 TikTok Shop brands ranked by GMV for September 1–28, 2026. Because it is GMV-ranked, it is commerce-weighted rather than a random market sample.
Why does D2 separate platform ranges from market benchmarks?
A platform range only shows what a system can be configured to accept. A market benchmark requires comparable observed data from a defined population, period and deal structure.
What happens when D2 does not have enough data for a benchmark?
The benchmark remains unpublished until the required dataset exists. D2 does not substitute follower counts, brand-level GMV or isolated creator deals for a missing market dataset.
Last verified: October 2, 2026.