TikTok Shop, creator commerce, and the sell-through question no one is answering
Creator content is now the primary demand-generation channel for consumer brands across Southeast Asia, and increasingly in Europe. Brands are spending heavily on it. Almost none of them can trace what that creator exposure does to shelf movement, distributor demand, or offline retail performance. This is the O2O gap operating at its fastest-moving edge.
Creator content is now the primary demand-generation channel for consumer brands across Southeast Asia, and increasingly in Europe. Brands are spending heavily on it. Almost none of them can trace what that creator exposure does to shelf movement, distributor demand, or offline retail performance. This is the O2O gap operating at its fastest-moving edge.
Something is happening in consumer commerce that the measurement infrastructure has not caught up with.
A beauty brand launches on TikTok Shop. A creator with 2 million followers does a live-stream review. Within 48 hours, the product sells out on the platform. Orders spike. The brand's social analytics show a conversion rate the paid media team has never seen from standard ads. The live-stream is declared a success.
What no one in that conversation can answer is this: what happened to the same product at Guardian, at Indomaret, at the independent pharmacy in Jakarta Selatan, in the week after the live-stream aired?
That question — the relationship between creator-driven digital demand and downstream physical retail sell-through — is the one that matters most for brands whose distribution is primarily offline. And it is the one that current measurement infrastructure is least equipped to answer.
The scale of what is happening
TikTok Shop is no longer an experiment. In 2024, the platform's global gross merchandise value reached approximately $33.2 billion — nearly tripling its 2023 figure of $11 billion. In 2025, that number nearly doubled again to roughly $64.3 billion, with projections pointing toward $112 billion in 2026, according to data compiled by Tabcut and Resourcera.
Southeast Asia is the engine of this growth. The region has historically accounted for over 95% of TikTok Shop's sales volume by item count since the platform launched. In 2024, Southeast Asia generated approximately $38.2 billion in GMV from TikTok Shop, with 119% year-over-year growth from the fourth quarter of 2023 to the fourth quarter of 2024. In 2025, the region's GMV doubled again to approximately $45.6 billion, according to data from Momentum Works and TechNode.
Indonesia leads the regional ecosystem. The country accounts for roughly 35 to 40% of TikTok Shop's total revenue, with Indonesia's TikTok Shop GMV reaching $6.2 billion in 2024 alone — making it the platform's second-largest individual market globally, behind only the United States.
The category concentration is telling. Beauty and personal care is the largest product category on TikTok Shop across every major market. In Indonesia, 9 of the 10 top-grossing TikTok shops and 8 of the 10 top-grossing individual products are from beauty and personal care. In Singapore, beauty accounts for approximately 60% of TikTok Shop sales. Globally, the category generated nearly $2.5 billion in GMV in the first half of 2025, representing approximately 22% of total platform transaction value.
These are large numbers. But they represent only the portion of demand that completes its transaction on the platform.
What creator platforms actually measure
TikTok Shop's measurement architecture is, within its boundaries, genuinely sophisticated. Brands can see view counts, watch duration, click-through rates from video to product page, add-to-cart rates, checkout completion rates, and attributed GMV from both short-form video and live-stream formats. For in-platform purchases, the measurement loop is relatively complete.
The problem is that the loop closes inside the platform. It does not extend to what happens outside it.
This is not a criticism of TikTok Shop's measurement. It is a structural description of how commerce measurement works on any social platform. The platform measures what it can observe: the session, the interaction, the in-platform transaction. What it cannot observe — what happens to consumer demand after the session ends, how creator exposure influences purchase behavior across other channels, whether the awareness generated in-stream translates to shelf movement at physical retail — is outside the platform's measurement boundary by design.
Research from EMARKETER identifies attribution gaps as the central challenge in creator commerce: creator content often drives awareness and consideration across channels rather than direct in-platform conversions, making it structurally difficult to isolate total commercial impact. Platform fragmentation compounds this: each platform offers different metrics, different attribution windows, and different reporting standards. Combining them into a coherent view of what creator investment actually produces commercially requires external analysis that most brands have not built.
The lower-funnel nature of live shopping — where intent and purchase happen in the same session — is precisely why brands are increasing investment in the format. Live shopping measurably closes the loop within the platform. That is real and valuable. But for brands whose primary distribution is physical retail, it closes the loop in the minority channel while leaving the majority channel unmeasured.
The beauty category and the offline reality
The concentration of creator commerce in beauty and personal care is not accidental. The category has structural properties that make it particularly responsive to creator content: the products are demonstrable on camera, the category is trust-driven and peer-influenced, the price points support impulse purchase, and the decision journey is heavily influenced by social proof and community recommendation.
These same properties mean that creator-generated demand does not stay neatly inside the online channel. A consumer who watches a skincare routine by a trusted creator and wants to try the product does not always complete that purchase on TikTok Shop. They may search for the product on Shopee. They may look for it at Guardian or Watson's the next time they shop. They may ask their local pharmacy to order it. The demand signal is generated online. The purchase completion is distributed across channels — many of them offline.
For major FMCG and beauty brands in Indonesia, the offline distribution reality is significant. Products that appear in creator content are simultaneously stocked at Indomaret and Alfamart chains with a combined network of over 35,000 stores nationally, at Guardian and Watson's in urban markets, through independent distributors serving second- and third-tier cities, and at traditional trade channels that still account for a meaningful share of FMCG volume in the Indonesian market.
A creator moment on TikTok that generates 5 million views and drives measurable in-platform demand sends a signal into that entire distribution system. Some of it lands online and is captured by platform analytics. Some of it lands at retail and is captured only in sell-through data that arrives weekly or monthly, aggregated, and stripped of any connection back to the campaign that generated it.
The brand sees the TikTok metrics. It does not see the ripple.
Why this measurement gap is structurally worse in creator commerce
Standard paid media campaigns — a Meta campaign, a Google campaign, a TikTok paid ad — run with defined audience parameters, defined budgets, defined schedules, and defined conversion tracking. The measurement gap between those campaigns and offline sell-through is substantial, as documented in blog 4 of this series. But at least the campaign mechanics are controlled enough to structure a causal analysis around.
Creator commerce introduces additional complexity at every layer.
The demand signal is non-linear. A live-stream or short-form video can sit dormant and then resurface days later through the algorithm, a share, or a recommendation. The exposure timeline is not the campaign schedule. Demand can appear in retail a week after a creator session that the analytics team has already closed.
The attribution window is undefined. Creator content that builds awareness and consideration may influence a purchase that happens two or three weeks later, in a different channel, with no trackable connection back to the original exposure. Standard attribution windows — 7-day click, 1-day view — were not designed for content that persists in feeds and gets reshared.
The channel distribution of demand is unknown. Unlike a paid campaign targeted to a specific audience on a specific platform, creator content reaches audiences through social networks, shares, and algorithmic amplification that the brand does not control. The channels where that demand ultimately converts — online, offline, across different retailers and platforms — cannot be predicted from the platform data.
Northwestern University's Medill Spiegel Research Center, in a 2025 study on retail media and creator marketing, documents the shift in how creators are being used: nearly 25% of creators now report that sales generation is their primary campaign goal, up from an emphasis on awareness and engagement in prior years. The commercial expectation is rising. The measurement infrastructure that would validate whether those commercial outcomes are being achieved — particularly in offline channels — has not kept pace.
The question the industry is not yet asking
The creator commerce conversation, particularly in Southeast Asia, is currently dominated by platform metrics: GMV, live-stream conversion rates, creator ROI measured in in-platform sales. These are legitimate and useful measures of what happens inside the platform.
They are not sufficient for brands whose commercial success is determined by what happens at the shelf.
The question that is not yet being asked systematically is: what does a creator moment do to physical retail demand in the days and weeks that follow?
For a Wardah campaign running on TikTok with a high-profile beauty creator, the relevant commercial question is not only what GMV the live-stream produced. It is whether sell-through at Guardian and Indomaret moved in the regions where the creator's audience is concentrated. Whether distributor orders changed in the week following the campaign. Whether the demand signal from online exposure can be connected causally — not just correlationally — to physical retail movement.
This is the sell-through question. And almost no brand operating in Southeast Asia's creator commerce environment is currently equipped to answer it.
What answering it requires
Connecting creator commerce exposure to offline sell-through is not a platform analytics problem. Platform analytics cannot, by design, see what happens outside the platform.
It requires connecting three data environments that typically sit in separate systems: the creator campaign performance data (from TikTok, from influencer management platforms, from affiliate tracking), the online commerce sell-through data (Shopee, Tokopedia, direct e-commerce), and the offline retail sell-through data (retailer reports, distributor records, point-of-sale data from modern trade partners).
Connecting these environments in a way that allows causal analysis — not just correlation — requires methods that treat geographic variation in creator exposure as a natural experiment. Regions where a creator's audience was dense enough to produce measurable exposure, compared to regions where the audience was sparse, provide the control structure needed to isolate the creator campaign's effect on offline demand from the baseline demand that would have existed anyway.
This is the analytical approach that closes the loop between creator content and sell-through. It requires offline data at the regional and retailer level, creative campaign exposure data tied to geographic audience distribution, and causal inference methods designed for observational data where randomized experimentation is not feasible.
Most brands running creator campaigns across Southeast Asia have at least two of these three data environments available. The missing piece is not data. It is the system designed to connect them for the purpose of causal attribution.
Why this is the next frontier in creator commerce measurement
Creator commerce will not slow down. TikTok Shop's trajectory in Southeast Asia — and now its expansion into Germany, France, Italy, and the rest of Europe — makes it one of the defining distribution and demand-generation shifts of the next five years for consumer brands.
The brands that will pull ahead are not necessarily those with the largest creator budgets or the most viral moments. They are the ones that can answer the sell-through question — that can trace creator exposure to downstream commercial outcomes, optimize their creator mix and distribution strategy together rather than separately, and understand where creator-driven demand is leaking out of the measurement window and into offline channels that the platform analytics cannot see.
That capability is the next layer of competitive advantage in creator commerce. And it is the capability that current measurement infrastructure, by design, does not provide.
Sources and references
- Resourcera / Tabcut. TikTok Shop global GMV: $33.2B (2024), $64.3B (2025), $112.2B projected (2026). Statistics and analysis, 2025-2026.
- Onramp Funds. TikTok Shop Southeast Asia GMV: $38.2B in 2024, 119% YoY growth Q4 2023 to Q4 2024; 95% of historical sales volume. June 2025.
- TNGlobal / Momentum Works. TikTok Shop Southeast Asia GMV doubled to $45.6B in 2025. February 2026.
- Momentum Works / TechBuzzChina. Indonesia as 35-40% of TikTok Shop total revenue; Indonesia GMV $6.2B in 2024. Via TechBuzzChina, 2025.
- Momentum Works. Beauty and personal care dominance: 9 of 10 top shops in Indonesia in beauty/personal care. January 2025.
- Resourcera. Beauty & Personal Care: $2.5B GMV in H1 2025, approximately 22% of total TikTok Shop transaction value.
- EMARKETER. FAQ on the Creator Economy. Attribution gaps as central challenge in creator commerce; platform fragmentation in measurement. January 2026.
- Northwestern University Medill Spiegel Research Center. Retail Media Networks and Creator Marketing in the Digital Marketing Ecosystem. 25% of creators now report sales generation as primary campaign goal. December 2025.
- EMARKETER / Dick's Sporting Goods. More than 80% of retail dollars still spent in physical stores. February 2026.
- Marketing LTB. TikTok Shop statistics: Indonesia as 20.52% of all global TikTok Shops; category and regional breakdown. 2025-2026.
