Public changelog of fee-model defaults used by this site’s calculators — reverse chronological, dated, and independent of TikTok.
We track planning defaults for the free
TikTok Shop profit calculator (US, UK, EU): referral / commission rates,
refund administration assumptions, and FBT unit placeholders. When a number here disagrees with
TikTok Shop Seller Center for your market, Seller Center wins.
Full official links, formulas, and limitations live on
Sources & methodology.
This page is for crawl freshness, transparency, and a short history of what changed in our model —
not an official TikTok partnership or announcement channel.
Dates below are either our dataset publish dates or the policy effective dates we reference from Academy materials.
Historical entries summarize public policy context used to build the model; they are not live TikTok notices.
Initial public fee dataset & multi-region calculator
What changed: Published the site’s first dated fee dataset powering the calculator:
US referral 6% general / 5% selected jewelry; UK platform commission
9%; EU standard 9% with selected electronics 7%;
US refund administration fee modeled as 20% of referral with a $5 per SKU cap;
FBT single/multi unit costs as planning placeholders only; multi-region profit, break-even, and FBT tools launched.
Impact on sellers: You can scenario-plan net profit after referral, creator commission, fulfillment,
returns, and ads in one place — but every rate is still a default you should override from Seller Center.
FBT placeholders are not substitute for the live rate card.
EU commission context: 9% standard / 7% electronics
What changed (policy context): From January 2026, per EU Academy materials referenced on our
sources page (category commission tables effective around
8 Jan 2026), EU5 planning rates in our model use 9% standard on settled orders
and 7% for listed Electronics / related sub-categories — not every gadget automatically qualifies.
Impact on sellers: EU P&Ls built on older headline rates should be re-run. Electronics sellers
should confirm category mapping in Seller Center before assuming 7%. Temporary new-seller reductions (e.g. mission-based)
remain optional toggles, not permanent margins.
What changed: Per the official US referral fee policy materials, refund administration is
modeled as a share of the referral fee on refunds (commonly ~20%), with a $5 per SKU cap
effective from mid-May 2025. Our US defaults reflect that cap when estimating return-related drag.
Impact on sellers: High-return categories cannot ignore admin drag on top of lost margin and
reverse logistics. Price with expected return rate in mind; do not treat “6% referral only” as all-in TikTok cost.
What changed: US Seller Academy materials describe a unified referral structure at
6% on qualified orders from 1 Apr 2024 (with later category exceptions such as
selected jewelry at 5%). Our US general default follows that 6% baseline.
Impact on sellers: Older multi-tier US assumptions no longer match the simple planning rate.
Compare product math against UK/EU 9% all-in markets carefully — referral is only one line; creator commission
and fulfillment still dominate contribution margin.
Disclaimer: Educational estimates only. Fee policies, promos, and FBT tiers change.
Trust TikTok Shop Seller Center when any number here disagrees with your live account.
Not financial, legal, or tax advice. Not affiliated with TikTok.
We review Seller Academy / policy materials about every 1–2 months and bump the visible last-updated date when
defaults change. Material model changes are listed on this changelog. Live rates in Seller Center always take priority.
Are these official TikTok announcements?
No. This is an independent educational site. Entries describe how we updated calculator defaults from public
Academy materials. We are not affiliated with TikTok and do not speak for the platform.
What if Seller Center shows a different fee?
Trust Seller Center. Override category rates, FBT unit costs, and promo toggles in the
profit calculator, and treat our defaults as planning assumptions that may lag.
See sources & methodology for official links.
