ContentIQ working paperCIQ-WP-2026-56TikTok ShopVersion 118 Oct 2026
TikTok Shop affiliate management: an agency checklist
2,900 top-selling products across 29 categories, 19 September–18 October 2026
MediaLabs Research · in collaboration with Coherence Limited
Key findings
- 0173.3%of category revenue in the latest week was credited to affiliate creators, against 10.6% for shops' own accounts and 16.1% for the remainder
- 0210% vs 9%revenue-weighted median commission for each category's top 10 products against those ranked 11–25, 26–50 and 51–100
- 032% to 20%range of top-10 median commission across categories, from Collectibles to Health
- 0424.5%of top-10 products were listed at 0% commission (80% in Collectibles, 70% in Jewelry Accessories & Derivatives)
- 0511 vs 10categories where top-10 products paid a higher or a lower median commission than ranks 11–100 (of 29 compared)
Contents
Abstract
If you are choosing whether to hand a TikTok Shop affiliate programme to an agency, the evidence points to judging them on how they set commissions, onboard creators and measure results, not on promises. In our analysis of US TikTok Shop, affiliate creators were credited with 73.3% of category revenue in the latest week, against 10.6% for shops' own accounts. The median commission among top sellers was 10% for each category's top 10 and 9% for ranks 11–100, and 24.5% of top-10 products were listed at 0%. The data cover a single week and describe listed rates, not agency performance, so the checklist is a recommendation, not a finding.
1. Introduction
Short answer for a brand deciding on an affiliate agency: in this data, creator affiliates account for most top-seller revenue, so the programme is worth managing deliberately. The more useful test of an agency or in-house lead is whether they can set commission against a category benchmark, explain how they onboard and review creators, and say how they will measure results. This paper does not measure any agency's outcomes, and it supplies no fees or rankings.
The question is how affiliate revenue and commission rates are distributed across US TikTok Shop categories, and what that implies for onboarding and managing a creator programme. Prior work on affiliate marketing treats the referral fee as a design choice that varies with the economics of the seller and the product [1]. Prior work also warns that the returns to advertising are hard to read from observational data [2], which applies to everything below.
These are observations of US TikTok Shop, not of creator content everywhere.
2. Data
The window runs from 19 September to 18 October 2026. The marketplace figures rest on 2,900 top-selling products across 29 categories, up to 100 per category. This paper uses product and category data rather than video-level creative analysis, so nothing here describes video content.
The revenue split (affiliate, own accounts, remainder) and the commission analysis use the latest week only, so one week is observed. Revenue-weighted median price and the share of revenue sold through video are also recorded by rank band. The cross-category correlations use 26 categories.
Weekly category figures for the US (estimated revenue, its split between video, LIVE and the shop tab, affiliate revenue, shops and active products, and a year of weekly revenue) and daily rankings of each category’s top-selling products (unit price, commission rate, launch date and revenue by channel) were collected from several independent sources. Medians of price and commission are weighted by revenue; momentum compares the latest weeks with the same number of weeks before. This paper covers 2026-09-19 to 2026-10-18: 2,900 top-selling products across 29 categories.
3. Methods
Affiliates and own accounts: for each category we split revenue in the latest week into revenue credited to affiliate creators, revenue sold by the shops' own accounts and the remainder. We also recorded each category's split across video, LIVE and the shop tab, and computed Pearson correlations across categories.
Commission by rank: within each category we ranked the tracked top sellers by latest-week revenue. We then computed revenue-weighted median commission rates by rank band, and for each category's top 10 against ranks 11–100. Products listed at 0% were left out of the medians and reported separately. No confidence ranges are available for these statistics.
4. Results: who sells the revenue
Across the market in the latest week, 73.3% of revenue was credited to affiliate creators, 10.6% to shops' own accounts and 16.1% to the remainder. Across 26 categories, the affiliate share of revenue correlated with the video share at 0.96, so categories that lean on affiliates also sell mostly through video. The own-account share correlated with the LIVE share at 0.6, a weaker association.
These are correlations across a small number of categories in one week. They do not show that affiliates cause video sales, or the reverse. The table gives the category-level split.
| Category | Through affiliates | Own accounts | Other | Video | LIVE | Shop tab |
|---|---|---|---|---|---|---|
| Beauty & Personal Care | 80.2% | 7.9% | 11.9% | 68.3% | 16.6% | 15.1% |
| Womenswear & Underwear | 79.6% | 9% | 11.4% | 71.9% | 11.5% | 16.6% |
| Sports & Outdoor | 75.2% | 8.5% | 16.3% | 63.7% | 13.5% | 22.8% |
| Fashion Accessories | 60.5% | 15.4% | 24% | 55.6% | 10.9% | 33.5% |
| Phones & Electronics | 75.7% | 10.8% | 13.5% | 62.7% | 19% | 18.3% |
| Health | 81.7% | 8.5% | 9.8% | 64% | 23.8% | 12.3% |
| Home Supplies | 71.3% | 10.1% | 18.6% | 59.2% | 15.4% | 25.4% |
| Menswear & Underwear | 69.6% | 12.2% | 18.2% | 67.6% | 4.9% | 27.5% |
| Shoes | 80.2% | 9.2% | 10.6% | 71.2% | 12.2% | 16.5% |
| Furniture | 71.3% | 8.5% | 20.3% | 56.2% | 14.4% | 29.4% |
| Household Appliances | 82.4% | 4.2% | 13.4% | 64.9% | 18.6% | 16.5% |
| Collectibles | 7.4% | 42.8% | 49.8% | 5.3% | 38.7% | 56% |
| Automotive & Motorcycle | 70.9% | 13.7% | 15.5% | 66.7% | 8.1% | 25.2% |
| Tools & Hardware | 70.2% | 10.7% | 19.1% | 60.4% | 10.9% | 28.7% |
| Toys & Hobbies | 74.6% | 10% | 15.4% | 62.5% | 16% | 21.5% |
| Home Improvement | 65.8% | 10.4% | 23.8% | 48.5% | 20% | 31.5% |
Note. Shares of each category’s estimated revenue in the latest week. Through affiliates is revenue credited to creators other than the selling shop; own accounts is revenue sold by the shop’s own accounts; other is the remainder.
5. Results: commission by rank
Top-10 products in each category carried a revenue-weighted median commission of 10%, against 9% for ranks 11–25, 26–50 and 51–100. The top 10 made up 32% of revenue among tracked products, and ranks 51–100 another 26.6%. Revenue-weighted median price was about $69 for the top 10 and $39–$43 for lower bands.
The share of products listed at 0% commission was 24.5% in the top 10, 25.3% in ranks 11–25, 30.5% in 26–50 and 28.8% in 51–100. Video accounted for 78.2% of revenue in the top 10 and 79.6–81.9% in the lower bands. The gap in median commission between top sellers and the rest is small.
| Rank in category | Products (n) | Share of revenue | Median commission | Listed at 0% | Median price | Sold through video |
|---|---|---|---|---|---|---|
| Top 10 | 290 | 32% | 10% | 24.5% | $68.98 | 78.2% |
| 11–25 | 435 | 20.3% | 9% | 25.3% | $42.00 | 81.9% |
| 26–50 | 725 | 21.1% | 9% | 30.5% | $43.00 | 79.9% |
| 51–100 | 1,450 | 26.6% | 9% | 28.8% | $39.00 | 79.6% |
Note. Ranks are by revenue among each category’s tracked top-selling products in the latest week. Medians are weighted by revenue; the commission median leaves out products listed at 0%.
6. Results: top 10 against the rest, by category
The category level varies more than the rank level. Top-10 median commission was 20% in Health, 17% in Food & Beverages, 14% in Books, Magazines & Audio and 13% in Beauty & Personal Care, against 4% in Tools & Hardware, 3% in Fashion Accessories and 2% in Collectibles.
Top-10 products paid more than ranks 11–100 in 11 of 29 categories and less in 10, and the remaining 8 were level. Examples of higher top-10 rates include Phones & Electronics (10% against 7%) and Food & Beverages (17% against 14%). Lower ones include Computers & Office Equipment (5% against 8%) and Pet Supplies (8% against 11%). The share of top-10 products at 0% was 80% in Collectibles, 70% in Jewelry Accessories & Derivatives and 60% in Fashion Accessories, against 0% in Health, Sports & Outdoor and Food & Beverages. Each category has 100 products, so the top-10 medians rest on small counts.
| Category | Top 10 median | Ranks 11–100 median | Top 10 listed at 0% |
|---|---|---|---|
| Beauty & Personal Care | 13% | 13% | 20% |
| Womenswear & Underwear | 8% | 9% | 40% |
| Household Appliances | 5% | 5% | 30% |
| Health | 20% | 19% | 0% |
| Sports & Outdoor | 8% | 8% | 0% |
| Phones & Electronics | 10% | 7% | 30% |
| Textiles & Soft Furnishings | 10% | 10% | 10% |
| Shoes | 10% | 9% | 10% |
| Home Supplies | 11% | 9% | 20% |
| Menswear & Underwear | 8% | 9% | 10% |
| Automotive & Motorcycle | 6% | 9% | 10% |
| Furniture | 8% | 6% | 0% |
| Fashion Accessories | 3% | 4% | 60% |
| Tools & Hardware | 4% | 5% | 0% |
| Toys & Hobbies | 7% | 9% | 30% |
Note. Revenue-weighted median commission rates, leaving out products listed at 0%.
7. Discussion
Because affiliates were credited with most revenue, creator onboarding and management appear central to how top sellers sell. Commission rates look set mainly by category, in line with the view that referral fees vary with the economics of the seller [1]. Top sellers did not consistently pay more, so a higher rate is not shown to be associated with higher rank. The 26.6% of revenue in ranks 51–100 is consistent with the long tail seen in other online retail [3]. LIVE-based trust-building [4] may matter for own-account selling, but our data only show a 0.6 correlation.
Alternative explanations are many. Listed commission is not the rate each creator receives, and a 0% listing may reflect arrangements we cannot see. Products rank high for reasons unrelated to commission, such as price, brand or paid promotion, and one week may be unusual. Returns to affiliate spend are hard to isolate from observational data [2].
Recommendation, not a finding: a checklist for an agency or an in-house lead. (1) Ask which category benchmark they use for commission and how often they review it. (2) Ask how they decide between a 0% listing and a paid rate, and what they have verified about what 0% means for you. (3) Ask how creators are screened, onboarded and reviewed, and what a creator is expected to deliver. (4) Ask what they will report and how they separate affiliate sales from your own accounts. (5) Ask how they will test rather than assume what works.
Proposed test plan, also a recommendation: pick a small set of comparable products, vary commission across them for a fixed window of several weeks, keep creator outreach and pricing otherwise the same, and compare affiliate-credited revenue and margin after commission. Agree the measures before starting. We have not run this test, and the results are not in this paper.
8. What this means for brands and founders
- Plan for creator-led selling: affiliate creators were credited with 73.3% of category revenue in the latest week, against 10.6% for shops' own accounts, so budget time for creator onboarding and review.
- Benchmark commission by category before setting a rate: top-10 median commission ranged from 2% in Collectibles to 20% in Health.
- Do not assume a higher rate is what top sellers pay: the top-10 median was 10% against 9% for ranks 11–100, and top-10 products paid less in 10 of 29 categories.
- Check what a 0% listing means before copying it: 24.5% of top-10 products were listed at 0% commission, rising to 80% in Collectibles.
- Plan for video-led selling: video accounted for 78.2% of revenue in the top 10 and 79.6–81.9% of revenue in lower rank bands.
9. Conclusion
In our analysis of US TikTok Shop, affiliate creators were credited with 73.3% of category revenue in the latest week, and the median top-seller commission was 10% for the top 10 against 9% for ranks 11–100. Commission levels differed far more between categories (2% to 20%) than between ranks. The data cover one week, do not include videos analysed in depth and measure no agency's performance. The checklist and test plan above are recommendations to be tested, not results.
Methodology
Weekly category figures for the US (estimated revenue, its split between video, LIVE and the shop tab, affiliate revenue, shops and active products, and a year of weekly revenue) and daily rankings of each category’s top-selling products (unit price, commission rate, launch date and revenue by channel) were collected from several independent sources. Medians of price and commission are weighted by revenue; momentum compares the latest weeks with the same number of weeks before. This paper covers 2026-09-19 to 2026-10-18: 2,900 top-selling products across 29 categories.
Limitations
Product figures cover the top-selling products we track in each category, not every listing, so they describe what sells best rather than everything on sale. Results are associations, not causes. Paid promotion, creator audience size and product price are not fully controlled for. Revenue, views and sales are estimates, not figures reported by TikTok. The commission and channel figures cover one week and 2,900 tracked products (up to 100 per category), so they may not hold in other weeks or among products outside the tracked top sellers. Rates are listed rates, not what creators were paid. No videos were analysed in depth. Correlations use 26 categories and have no confidence ranges. The data cannot show whether commission or an agency caused any sales outcome, and they cover US TikTok Shop only.
References
- [1]Libai, B., Biyalogorsky, E., & Gerstner, E. (2003). Setting referral fees in affiliate marketing. Journal of Service Research, 5(4), 303–315. doi.org/10.1177/1094670503005004003
- [2]Lewis, R. A., & Rao, J. M. (2015). The unfavorable economics of measuring the returns to advertising. The Quarterly Journal of Economics, 130(4), 1941–1973. academic.oup.com/qje/article-abstract/130/4/1941/1914592
- [3]Brynjolfsson, E., Hu, Y. J., & Smith, M. D. (2003). Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Science, 49(11), 1580–1596.
- [4]Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of Business Research, 117, 543–556. www.sciencedirect.com/science/article/abs/pii/S0148296318304168
Cite as
MediaLabs Research, in collaboration with Coherence Limited (2026). TikTok Shop affiliate management: an agency checklist. ContentIQ Working Paper CIQ-WP-2026-56, version 1. https://medialabs-co.com/research/tiktok-shop-agency-affiliate-management
Analysis and data: Coherence Research, Coherence ContentIQ. Published by MediaLabs in collaboration with Coherence Limited.
Version history
- Version 118 Oct 2026This version