The best Amazon API depends on the question you need to answer.

If you want to understand competitors, brands, and category opportunities, SmartScout is our top pick for organized Amazon market intelligence. If you need orders, inventory, or financial information from an account you manage, start with Amazon’s Selling Partner API. If historical product pricing is central to your application, Keepa deserves a close look.

These services solve different problems. A product scraper can return information from a listing or search page. An operational API can connect software to a seller account. A market intelligence API helps you compare businesses and understand the market around that account.

This guide compares eight options and explains where each belongs in an Amazon data stack.

Disclosure: This article is published by SmartScout. We place SmartScout first for competitive market intelligence while recommending other APIs for the jobs they serve best. This is a documentation-based comparison, not a benchmark of response speed, uptime, or predictive accuracy.
‍

Amazon API Comparison: Which One Should You Use?

‍

‍

The Four Kinds of Amazon Data APIs

Before choosing a vendor, separate the data you need into four groups:
‍

1. Your business data: Orders, inventory, payments, and account reports. Start with SP-API and the appropriate authorization.
   ‍
2. Your advertising data: Campaign configuration and reported results. Start with Amazon Ads API.
   ‍
3. Public product and search observations: Listing information, offers, and search results. Consider page-data providers and historical product databases.
   ‍
4. Competitive market intelligence: Estimated revenue, brand comparisons, market share, and relationships among products, sellers, and categories. This is where SmartScout stands out.
   ‍

Affiliate publishing is another specific use case. Amazon’s Creators API serves the Associates ecosystem and should be evaluated against its own program requirements.

An API that tells you what appears on a product page does not automatically tell you how large the category is or which brand is gaining share. That additional insight requires coverage, historical data, entity relationships, and analysis.
‍

1. SmartScout API: Best for Organized Amazon Competitive Intelligence

SmartScout helps teams move from looking up individual listings to understanding the businesses competing on Amazon.

A brand manager might begin with “What is this ASIN selling?” but quickly need to ask, “How much of the market does this brand represent? Which resellers carry it? Is its growth broad or concentrated in a few products?”

Those questions shape our approach. SmartScout organizes Amazon data around connected products, brands, sellers, categories, and keywords, giving developers a foundation for business analysis.
‍

Eight SmartScout data offerings worth evaluating

The following combination is what differentiates SmartScout from a basic product or search scraper. These are strengths of the offering, not a claim that every individual metric is exclusive to SmartScout.

‍

‍

Sources: SmartScout API reference, data levels, and feature overview.
‍

Advertising data that goes beyond a single search result

A single sponsored placement tells you who appeared in that observation. Repeated observations help reveal which brands consistently win visibility.

SmartScout AdSpy tracks paid visibility across Sponsored Products, Sponsored Brands, and sponsored video placements. Placement-level win rates help teams compare competitive presence.

The published API schema includes fields for estimated search demand, estimated CPC, and spend measures such as sponsoredBrandSpend, sponsoredVideoSpend, and totalAdSpend. These are useful building blocks for competitive dashboards.

Competitor spend is an estimate, not access to a competitor’s advertising account. Observed visibility and modeled spending should be labeled accordingly. They should not be presented as audited expenses or assumed to capture every Amazon advertising surface.
‍

Market definitions matter

A meaningful market share figure needs a clearly defined denominator. “Share of Beauty” and “share of a selected group of facial moisturizers” answer different questions.

SmartScout’s broader platform supports custom segments assembled from brands, ASINs, subcategories, and keywords. This lets teams study a business-relevant competitive set alongside Amazon’s native category structure. Confirm the specific segment workflow and API access needed for your integration.
‍

API access and AI workflows

The developer reference documents enterprise API access, with keys provisioned by the SmartScout team. Some datasets have additional licensing requirements; historical offer data is one example.

For conversational analysis, SmartScout also offers an MCP server. Its read-only tools let compatible AI applications query product, brand, seller, category, keyword, and advertising information. This is another way to work with the data; an AI connection does not turn estimates into reported account results.

Best fit: Brands, agencies, software teams, and analysts building competitive dashboards, prospecting systems, market-sizing workflows, and research tools.

Main limitation: Confirm endpoint coverage, history, marketplace availability, and licensing against your actual requirements. Do not assume every dashboard feature is exposed identically through the API.
‍

2. Amazon Selling Partner API: Best for Seller and Vendor Operations

Amazon Selling Partner API is the official integration framework for applications serving Amazon sellers and vendors. It is the current platform to evaluate for operational integrations. Amazon MWS is retired and should not be treated as a current alternative.

SP-API is especially important when you need your software to work with an authorized selling account.
‍

What can you do with SP-API?

‍

‍

Exact availability depends on the operation, account, marketplace, roles, and authorization. Start with Amazon’s documentation directory and overview of available data.
‍

Can SP-API return page views and Buy Box percentage?

Yes. Amazon documents a Sales and Traffic Business Report, identified as GET_SALES_AND_TRAFFIC_REPORT, that includes sales and traffic metrics such as page views and Buy Box percentage, aggregated by date and ASIN.

This corrects a common outdated statement in older Amazon API guides. Developers should check the report’s required role, supported options, and availability rather than assume those metrics cannot be retrieved.

Source: Amazon’s analytics reports documentation.
‍

Where does Data Kiosk fit?

Data Kiosk is part of SP-API. It provides a GraphQL-based approach to querying supported analytical data. Amazon’s integration guidance identifies use cases involving sales, traffic, vendor analytics, and seller economics.

For an internal reporting project, compare the available Data Kiosk schemas with the corresponding Reports API options. Choose based on the fields, aggregation, availability, and processing workflow your application needs.
‍

What SP-API does not replace

SP-API is not an unrestricted feed of every competitor’s orders, revenue, or advertising bills. Some operations expose catalog or offer information, but that is different from another company authorizing you to access its private account data.

A useful combination is SP-API for your authorized business records and SmartScout for competitive market context. For example, an internal dashboard could show your reported sales alongside an independently estimated category trend, with the two sources clearly labeled.
‍

What developers should plan for

Build around the current documentation for authorization, roles, operation-specific rate limits, and version changes. Avoid copying an old MWS authentication tutorial into a new integration.

A practical implementation should also define how it handles pagination, report generation, retries, and missing or delayed data. These details matter more than a broad claim that an API offers “everything in Seller Central.”

Best fit: Inventory systems, order workflows, financial reconciliation, listing management, and internal reporting for authorized accounts.

Main limitation: Permissions and individual API capabilities determine what you can access. It is not a general-purpose competitor intelligence database.
‍

3. Keepa API: Best for Historical Product and Price Data

Keepa’s API is a strong option when your application starts with a product and needs historical context.

Its documentation covers price history, product data, offers, sellers, deals, and tracking. The Product Request endpoint supports ASIN and product-code lookups, with optional statistics, marketplace offers, Buy Box, stock, and variation data.

Where Keepa stands out: Product-level time series are valuable for sourcing research, pricing analysis, and understanding how an item’s market conditions have changed.

How it compares with SmartScout: Prioritize Keepa when the main task is historical product analysis. Prioritize SmartScout when the main task is comparing brands, mapping reseller relationships, sizing categories, or building competitive market reports.

Keepa uses token-based API access. Optional request parameters can change consumption, so estimate costs using your intended workload. An old article’s single monthly price is not a reliable description of the current offering.

Main limitation: Product history alone does not supply every definition or aggregation needed for a brand-level market study. Evaluate what your application would still need to construct.
‍

4. Amazon Ads API: Best for Authorized Advertising Operations

Amazon Ads API supports programmatic advertising workflows. It belongs in the comparison separately from both SP-API and affiliate product APIs.

Teams use it to integrate campaign management and performance reporting into their own tools, subject to access and supported capabilities.

Importantly, older descriptions saying Amazon advertising APIs exclude DSP are outdated. Amazon publishes DSP campaign management API documentation, including support for managing campaign data.

Where it stands out: Use authorized advertising data to evaluate your own campaigns or accounts you manage.

How it compares with SmartScout: Amazon Ads reports account performance. SmartScout adds a competitive perspective on observed placements and modeled spending. Those datasets can complement each other, but they should not be treated as interchangeable.

Main limitation: Account access is required for private campaign data. Reporting availability and revisions depend on the particular dataset; avoid assuming one universal reporting delay applies to every metric.
‍

5. Rainforest API: Best for Amazon Page Data and Scheduled Collections

Rainforest API’s current documentation is hosted by Traject Data. It remains an option to evaluate for Amazon data collection.

Its documented capabilities include product data retrieval, localized requests, scheduled Collections, and delivery Destinations. Destinations support delivery of collection results to storage services such as Amazon S3 and Google Cloud Storage.

Rainforest also documents product lookup and offer retrieval, including lookup using supported product identifiers.

Where it stands out: Collecting page-level information through an API rather than maintaining the extraction process yourself.

How it compares with SmartScout: Rainforest is useful when the input is a product, search, or page-data collection job. SmartScout is useful when the output needs to be an organized view of brands, sellers, categories, and competitive performance.

Main limitation: Confirm the current request types, output fields, freshness behavior, and pricing for your workload. A page-data response should not be assumed to include a finished market-share model.
‍

6. Oxylabs Web Scraper API: Best for Custom Amazon Collection Pipelines

Oxylabs offers Amazon scraping capabilities for product pages, search results, and seller pages. Its documentation includes structured requests for Amazon product extraction.

Where it stands out: Engineering teams that want a managed collection component inside a larger data pipeline.

A retailer could use this approach to collect selected listing attributes, then normalize and analyze them in its own database.

How it compares with SmartScout: Scraping infrastructure helps obtain observations. A competitive intelligence product also supplies organization and analysis across those observations.

Main limitation: Budget for the work beyond extraction: defining coverage, storing history, matching entities, checking missing fields, and constructing the metrics your stakeholders need.
‍

7. Bright Data Amazon Scraper APIs: Best for Maintained Extraction Workflows

Bright Data provides maintained Amazon scrapers, including product and search collection options. Its product scraper describes fields such as ASIN, brand, price, category, availability, ratings, and variations.

Where it stands out: Teams wanting predefined extraction workflows and structured outputs for their own applications.

How it compares with SmartScout: Bright Data helps collect data from supported Amazon surfaces. SmartScout emphasizes business relationships and market intelligence built around products, brands, sellers, and categories.

Main limitation: A collection job is only part of a research system. Check the selected scraper’s schema, collection settings, and delivery method, then identify what analysis remains your responsibility.
‍

8. Amazon Creators API: Best for Publishers and Associates

The historical Product Advertising API was built for affiliate publishing, not seller operations. Despite its name, it should not be confused with Amazon Ads API.

Amazon now identifies Creators API as the successor to Product Advertising API 5. Current integrations should follow Amazon’s Creators API documentation and migration guidance.

The Creators API introduction describes programmatic product catalog access for publishers, influencers, and affiliate partners creating shopping experiences for their audiences.

Where it stands out: Product content and recommendations in an Amazon Associates use case.

What it is not: An API for managing a seller’s orders, reconciling inventory, retrieving private seller financial records, or obtaining unrestricted competitor data.

Access and use remain governed by the applicable Associates program and API requirements. Choose SP-API for seller operations and evaluate market data providers for competitive research.
‍

Amazon Scrapers vs. SmartScout: What Are You Actually Buying?

A scraper can return structured JSON. Structure alone, however, is not the same as a finished analytical dataset.

Imagine you want to evaluate a category before launching a product. A search response might show the products visible for a keyword at a particular time and location. That can be useful, but a business case also needs decisions about:
‍

• Which products belong in the market being measured.
  ‍
• How brands and sellers are identified across listings.
  ‍
• Which period and marketplace the analysis covers.
  ‍
• How revenue is estimated and aggregated.
  ‍
• How changes are tracked consistently over time.
  ‍

SmartScout’s value is in giving teams organized market intelligence to work with. Scrapers remain useful when you need particular page observations or are building your own analytical system.

Choose the API based on the decision it must support, then evaluate how much work remains after the response arrives.
‍

A Practical Amazon API Stack

Many businesses need more than one API because their questions cross data types.

‍

‍

When combining sources, align marketplace, currency, period, and product identifiers. Keep reported account revenue separate from estimated market revenue. A dashboard can use both without suggesting that they have the same provenance.
‍

What To Check Before Choosing an Amazon API

Ask for a sample that matches a real business question. Then evaluate:
‍

1. Data definition: Is a number observed, reported, estimated, or calculated by your application?
   ‍
2. Coverage: Which marketplaces, entities, and historical periods are supported?
   ‍
3. Freshness: What is the collection timestamp or reporting period?
   ‍
4. Completeness: How does the API represent missing data and pagination?
   ‍
5. Cost: Is usage billed by requests, records, tokens, throughput, or contract?
   ‍
6. Access and licensing: Does your plan support the endpoint and intended use, including redistribution if needed?
   ‍
7. Operational effort: How much normalization, storage, monitoring, and analysis must your team build?
   ‍

This makes the comparison more useful than declaring one provider universally cheaper or faster without testing the same workload.
‍

Start With the Insight Your Business Needs

Amazon APIs are most useful when their purpose is clear. Use SP-API to connect to authorized seller operations, Amazon Ads API for advertising workflows, and Creators API for affiliate publishing. Consider Keepa for historical product analysis and collection providers for page-level data.

For the broader view on brands, resellers, category opportunities, and competitive performance, start with SmartScout.

‍Explore the SmartScout API and discuss your data requirements.
‍

FAQs

‍

Disclosure: This article is published by SmartScout. We list SmartScout first because we believe its fast, flexible market definitions and accessible historical analysis make it the strongest starting point for Amazon competitive research. The other platforms have substantial strengths for different teams.

‍How much of your Amazon market do you actually own? The answer depends on what you call the market. Amazon's browse categories offer a useful starting point, but a category may combine products that shoppers would never consider substitutes. A protein powder brand might care about all protein powders, plant-based powder, or only single-serve packets. Each denominator produces a different market share number.

The best Amazon market share software lets you define that denominator, inspect the products inside it, and compare your position today with how it has changed over time. Here are five tools worth evaluating.‍

‍

‍

1. SmartScout: Best for On-Demand Market Share in the Market You Actually Compete In

SmartScout gives you two ways to answer a market share question. Start with Amazon's category and subcategory structure to see which brands lead an established market. Then use Custom Segments when that structure is too broad or misses the way customers shop.

A segment can represent a keyword-defined product set, a product format such as powder versus capsule, or a combination of attributes and criteria. For example, instead of asking, “What is our share of supplements?” you might define “unflavored creatine powder,” inspect the resulting ASINs, and compare the brands that actually sell that format. The definition matters as much as the percentage. SmartScout exposes the products and their categories so you can check what entered the calculation and refine the segment.

‍

‍

SmartScout provides a current snapshot and historical market share. That makes it possible to see whether a competitor's apparent lead is new, whether a launch is taking share, and whether your own growth is outpacing the market. The analysis is available on demand: build a segment and examine the market without waiting for an overnight report. Segment generation does not require a separate per-segment data purchase, subject to the allowances of your SmartScout plan.

The view goes beyond a chart of brand percentages. You can explore the underlying ASINs and categories and use Pricing Intelligence to compare prices across multiple competing products, including historical pricing alongside market share and promotions. If a rival gained share after changing pack size or lowering price, the product-level context helps you investigate the likely cause. A correlation does not, by itself, prove why share moved.

SmartScout also offers an MCP connection for working with its Amazon data in Claude and compatible ChatGPT workflows. You can ask an assistant for a category's leading brands, share, revenue history, and related product context. MCP availability depends on an eligible subscription, and the current connector is read-only; build and manage custom segments in SmartScout itself.

Best fit: Teams that regularly change the question they ask of the market and want a quick answer they can drill into, from category share to a specific competitive product format.
‍

2. Jungle Scout Cobalt: Best for Enterprise Amazon Benchmarking

Jungle Scout Cobalt is a serious alternative for brands and agencies. Its platform offers category performance, custom market segments, pricing analysis, and historical benchmarking. Cobalt says it supports unlimited segmentation, which is appealing when an organization tracks many brands, product lines, or potential launches.

‍

‍

Jungle Scout also offers an MCP connector for asking AI assistants questions about Amazon market data. Its documentation describes revenue, unit, and sales estimates for ASINs, brands, categories, subcategories, and attributes, with up to two years of history for those estimates. There is one workflow distinction to understand: Cobalt's MCP can query an equivalent market ad hoc, but it cannot retrieve a saved segment from a Cobalt account by its name. The segment UI and the AI access should be tested for the way your team works.

Best fit: Enterprise teams that want extensive Amazon benchmarking, flexible segmentation, and AI access within a broader intelligence platform.
‍

3. Stackline Atlas: Best for Cross-Retailer Market Intelligence

Stackline Atlas positions its sales intelligence around market share across Amazon, Walmart, Target, and other retailers. It combines product-scale data with category and shopper insights, which can help a brand ask whether an Amazon share change reflects its own execution or a larger shift across ecommerce channels.

‍

‍

This broader scope is valuable for a national brand whose Amazon decisions sit alongside retailer strategy, media, and consumer demand analysis. Stackline describes its product data as updated weekly, so buyers should ask which specific market share views and reporting periods meet their planning cadence.

Best fit: Larger organizations needing a consistent competitive picture across several retailers.
‍

4. Profitero+: Best for Connecting Share to the Digital Shelf

Profitero+ Sales & Share reports Amazon category share and estimated daily sales for a brand and its competitors. It distinguishes first-party from third-party sales and connects share analysis to product-level digital shelf signals, including content, search, traffic, and conversion.

‍

That combination helps a category manager move from “our share fell” to a practical investigation: Which products lost momentum? Did availability, price, search position, or content change? Profitero also emphasizes global reporting, which may matter to a CPG company managing several Amazon marketplaces.

Best fit: Brands that want market share analysis embedded in a wider digital shelf measurement and action program.
‍

5. Pacvue Market Insights: Best for Connecting Market Share to Retail Media

Pacvue Market Insights brings Amazon market share together with pricing, keyword, product, and competitor signals. Its published description supports customizable segments by browse node, subcategory, brand set, or ASINs. It also connects those insights to Pacvue's advertising and commerce workflows.

‍

‍

For a team spending heavily on retail media, that can make share a better outcome measure than ad return alone. You can examine whether increased media investment coincided with category share gains, and which competitors or price changes might explain the result. Pacvue's AI assistant can also answer questions about category share movement within its platform.

Best fit: Brands and agencies that want category intelligence close to ad planning and optimization.
‍

What to Check Before You Trust a Market Share Number

Define the denominator. Is the “market” an Amazon browse node, a fixed ASIN list, a keyword-derived group, or a custom segment? Ask to see the included and excluded products. If your product exists in several categories, check how duplicates are handled.

Check the metric and period. Revenue share and unit share can tell different stories, especially when brands compete at different price points. A current estimate, a completed month, and a trailing 12-month trend are also different views. Keep the same definition and period when comparing brands.

Understand estimation. Competitors do not give these platforms their complete sales ledgers. Third-party market share tools model sales, so the results are most useful for sizing markets, finding leaders, and tracking directional change. Compare estimates with your own known sales where possible.

Look below the percentage. A share gain is more actionable when you can see which ASINs drove it and whether prices, promotions, assortment, or availability changed. This is especially important when you build a niche that Amazon's standard category tree does not describe well.

Which Amazon Market Share Tool Should You Choose?

For a fast read on both an Amazon category and a precisely defined niche, start with SmartScout. You can examine current and historical share, inspect the underlying products, and compare multiple competitors' pricing without commissioning a separate segment report. Jungle Scout Cobalt is a strong alternative for extensive enterprise segmentation and also supports MCP. Stackline, Profitero+, and Pacvue are worth evaluating when cross-retailer intelligence, digital shelf execution, or retail media integration drives the buying decision.

‍

FAQs

‍

TikTok Shop crossed $50 billion in global GMV in just the first half of 2026. That puts it on track to surpass $100 billion for the full year, making it the fastest e-commerce platform to ever reach that milestone.

What started as a social commerce experiment inside a video app is now a top-tier global retail channel, one that added more GMV in 18 months than most marketplaces generate in a decade. 

At SmartScout, we track TikTok Shop data at the category, shop, and product level. For this report, we combined publicly available data from industry trackers with our own proprietary data on category revenue, shop performance, and market structure.

Here is everything you need to know about TikTok Shop in 2026, backed by numbers.
‍

Key TikTok Shop Statistics 2026 
‍

• TikTok Shop's global GMV reached $50.3 billion in H1 2026, up 92% year-over-year. 
  ‍
• The platform is projected to reach $123.5 billion in global GMV for full-year 2026. 
  ‍
• US GMV hit $11.8 billion in H1 2026, growing 103% year-over-year. 
  ‍
• There are over 15 million sellers on TikTok Shop globally. 
  ‍
• The US has 803,500 registered stores, though more than half recorded no sales. 
  ‍
• More than 5,700 US stores crossed $1 million in GMV in H1 2026, an 8x increase year-over-year.
  ‍
• Beauty & Personal Care is the largest category, generating over $9.7 billion in lifetime revenue. 
  ‍
• TikTok Shop captured 18.2% of all US social commerce sales in 2025. 
  ‍
• 53.2 million US buyers purchased on TikTok in 2025, projected to reach 57.7 million in 2026. 
  ‍
• Affiliate-driven content accounts for 42% of total US TikTok Shop GMV.
  ‍
• Shop tab now drives 51.4% of attributed GMV in the US, overtaking video and live. 
  ‍
• 97% of TikTok Shop customers in the US also shop on Amazon.
  ‍

How Many TikTok Shops Are There?

TikTok Shop hosts more than 15 million sellers globally as of 2026. The platform operates in 16 countries as of mid-2026, with four more expected by year-end.

‍

‍

The US market saw the most dramatic expansion. Shop count grew from 4,450 in mid-2023 to 803,500 by the end of 2025. In the same period, US GMV went from near zero to $15.1 billion.

‍

‍

Southeast Asia still dominates total shop count. Indonesia alone has more registered shops than the entire US market, driven by TikTok's integration with Tokopedia and the region's deeply established social commerce behavior.

New markets launched in 2025 include Germany, France, Italy, and Brazil. Brazil launched in May 2025 and grew its monthly GMV from $1 million to $25.7 million within three months, reaching $46.1 million by August 2025.

Source: Momentum, Red Stag Fulfillment, AfterShip, Axis Intelligence

For a step-by-step breakdown of getting started, see our guide on how to sell on TikTok Shop. 

TikTok Shop GMV & Revenue Statistics

TikTok Shop generated $64.3 billion in global GMV in 2025, nearly doubling its 2024 performance. In just the first half of 2026, that number already crossed $50.3 billion.

‍

‍

Here is how TikTok Shop's GMV has grown since launch:

‍

‍

Source: Momentum Works, KR Asia

‍

Southeast Asia remains the primary GMV engine. The region doubled to $45.6 billion in GMV in 2025, with Indonesia contributing $13.1 billion alone.

‍

Regional GMV breakdown for 2025:

‍

Source: Momentum Works, TechNode Global

‍

Note: GMV figures represent gross transaction values before returns and cancellations. TikTok does not publicly report net revenue from Shop, so all figures are estimates from third-party trackers.
‍

TikTok Shop in the United States

TikTok Shop launched in the US in September 2023. It reached $9 billion in GMV within 16 months.

US GMV reached $15.1 billion in 2025, a 68% increase from $9 billion in 2024. In H1 2026 alone, the US hit $11.8 billion, growing 103% year-over-year. TikTok Shop captured 18.2% of all US social commerce sales in 2025.

A major structural shift happened in the US during H1 2026. The Shop tab (TikTok's in-app marketplace) now accounts for 51.4% of attributed GMV, up from 36% in 2025. Video dropped to 40.4%, and Live narrowed to just 8.2%.

The 2025 BFCM four-day shopping period generated over $500 million in sales in the US, with shoppers up 50% year-over-year.

Source: eMarketer, TikTok Newsroom, Momentum Works
‍

TikTok Shop Demographics & Engagement

TikTok recorded 3.8 billion visits in August 2026, making it the 5th most-visited social media website in the world. Since the platform registers this much traffic, selling on this platform makes it much easier. 
‍

Monthly Visits

TikTok Shop (seller.tiktok) had 3 million visitors in August, with a decline of 26.37% from July 2026. An average person stays on the website for 1 minute 43 seconds and visits 1.45 pages on average. 
‍

Traffic Share by Country

The United States drives the most traffic among all the countries, with 29.78% of the total traffic. Vietnam and Indonesia come in second and third place in terms of traffic. 

‍

‍

(Data as of September 2026)
‍

Age Distribution

People aged between 25 and 34 years account for the most traffic on TikTok Shop, with 32.66% of the traffic. 

‍

‍

Gender Share

Male shoppers on TikTok Shop slightly dominate the platform by accounting for 50.94% of the audience. Female shoppers are also very close, at 49.06%.

‍Source: SimilarWeb
‍

Top TikTok Shop Categories by Revenue

Beauty & Personal Care dominates TikTok Shop by a wide margin. It has generated over $9.7 billion in lifetime revenue, nearly $3.4 billion more than the second-place category. Monthly revenue alone tops $515 million, more than the next two categories combined.

Womenswear & Underwear holds second place with $6.3 billion in lifetime revenue and nearly $378 million per month. Together, the top two categories account for more than 40% of all tracked category revenue on the platform.
‍

Here are the top 10 TikTok Shop categories ranked by lifetime revenue:

‍

‍

Source: SmartScout TikTok Shop Data (Subcategories)
‍

Top 10 TikTok Shops in the US

medicube US Store is the highest-earning shop on TikTok, pulling in $39.6 million in monthly revenue and $638 million in lifetime revenue. It sells skin care kits and has built a dominant position through consistent creator-driven content and aggressive product launches.

Nine of the top 10 shops are based in the US. The only exception is Halara US, which is registered in China but sells primarily to US consumers. 
‍

All 10 are classified as Official Shops, meaning they are brand-operated storefronts rather than third-party resellers.
‍

‍‍
Source: SmartScout TikTok Shop Data
‍

TikTok Shop Social Commerce Market Share 

TikTok Shop now owns 18.2% of all US social commerce sales. Two years ago, that number was close to zero.

Total US social commerce hit $87 billion in 2025, up 21.5% year-over-year. It is projected to surpass $100 billion in 2026.
‍

By 2026, one in two US social media shoppers will have made a purchase on TikTok. No other social platform reached that threshold this quickly.

The total number of US social buyers (ages 14 and older) grew 6.8% in 2025 to reach 108.3 million. That is 47.9% of social network users and 47.5% of digital buyers.

Source: eMarketer
‍

TikTok Shop Conversion Rate

TikTok Shop consistently outperforms traditional e-commerce and other social commerce platforms on conversion.
‍

The higher conversion rate is driven by a few structural factors. TikTok's in-app checkout removes the friction that kills conversions on traditional platforms. Creator content builds trust faster than product pages. And the algorithm surfaces products to high-intent audiences based on viewing behavior.

Live shopping sessions produce the highest spikes. During interactive livestreams, purchase rates can climb well above 10%, driven by scarcity tactics, host persuasion, and real-time interaction. 

Source: Ringly.io, Dashboardly, Capital One Shopping
‍

Shopping & Buying Behaviour by TikTok Shop Consumers

TikTok Shop buyers behave differently from buyers on Amazon or traditional e-commerce sites. This is a discovery-first, impulse-driven channel.

‍How Many People Are Buying:
‍

• 53.2 million US buyers purchased on TikTok in 2025, up 13.6% year-over-year. 
  ‍
• That number is projected to reach 57.7 million by the end of 2026. 
  ‍
• 49.7% of US TikTok users buy something at least once a month, a purchase frequency higher than Facebook, Instagram, or Pinterest. 
  ‍

Who is Buying: 
‍

• Buyers skew 70-75% female, even though TikTok's overall user base is 54.6% male.
  ‍
• The 18-24 age group is 3.2x more likely to shop on TikTok than the average consumer.
  ‍
• 55% of Gen Z users purchase directly within TikTok.
  ‍
• Shoppers earning between $55K and $90K per year drive the highest spend and frequency.
  ‍

How Much They Spend:
‍

• US shoppers under 60 spent an average of $708 on TikTok Shop in 2024, averaging one purchase per month at $59 per order.
  ‍
• 81% of TikTok Shop buyers are repeat customers.
  ‍

Why They Buy:
‍

• 49% of consumers cite convenience as a key factor.
  ‍
• 48% of TikTok Shop sellers cite low prices.
  ‍
• 71.2% of TikTok shoppers bought something after stumbling on it while browsing, not from actively searching.
  ‍

What They Buy Most:
‍

• 46% of purchases are personal accessories.
  ‍
• 43% are household items, 40% are fashion items, and 33% are cosmetics.
  ‍

Source: eMarketer, RetailDive, FitSmallBusiness, Ringly.io
‍

Creators and Affiliates on TikTok Shop

The creator and affiliate ecosystem is not a side channel on TikTok Shop. It is the distribution model.
‍

• 15.4 million influencers were active on US TikTok Shop in 2025. 
  ‍
• Over 2 million creators are registered in the TikTok Shop affiliate program. 
  ‍
• Affiliate-driven content accounts for 42% of all US TikTok Shop GMV. 
  ‍
• The top 0.5% of creators generate 38% of all affiliate revenue. 
  ‍
• Average affiliate commission sits around 13-15%. 
  ‍
• 78% of TikTok shoppers discovered products through influencer content. 
  ‍
• 8 of the top 10 US influencers by GMV in H1 2026 were new to the ranking.
  ‍

Source: Momentum Works, Dashboardly, Hamster Garage
‍

TikTok Shop vs Amazon 

TikTok Shop is not replacing Amazon. But it is pulling from the same buyer pool. 97% of TikTok Shop customers in the US also shop on Amazon. The difference is how and why they buy.

Amazon is a search-driven marketplace. Buyers arrive with intent, type in a product name, compare reviews, and purchase. TikTok Shop is discovery-driven. Buyers encounter a product in a video or livestream and purchase on impulse. These are fundamentally different buying behaviors on platforms that now compete for the same wallet.

For a deeper look at the Amazon side of the equation, see our Amazon Seller Statistics report. 
‍

Here is how the two platforms compare across core metrics:

‍

‍

Source: Market Pulse, Red Stag, Mike Begg, Seller Metrics, MediaLabs
‍

TikTok Shop Trends 2026 & Beyond

TikTok is heading into late 2026 and 2027 with a huge shift in social commerce. 
‍

• Shop tab is becoming the primary transaction layer. In the US, the Shop tab surpassed video as the top GMV driver in H1 2026, accounting for 51.4% of attributed sales. This signals a shift in buyer behavior from impulse-only to intentional browsing.
  ‍

• Average prices fell in 21 of 27 categories in H1 2026. More sellers entering the platform means tighter margins and a stronger need for product differentiation.
  ‍

• AI-generated content is accelerating. AI-produced videos and livestreams are becoming more common on TikTok Shop, lowering the content creation barrier but also increasing noise.
  ‍

• TikTok Shop launched in Germany, France, and Italy in March 2025 and entered Brazil in May 2025. As of mid-2026, the platform operates in 16 countries with plans to add four more by year-end.
  ‍

• The $100 billion threshold is within reach. Momentum Works projects full-year 2026 GMV at $123.5 billion based on H1 momentum.
  ‍

• TikTok finalized a deal in January 2026 to form a majority American-owned joint venture to run its US operations, with investors including Oracle, Silver Lake, and MGX.
  ‍

Methodology

This report combines publicly available data from third-party industry trackers with SmartScout's proprietary analytics.

SmartScout data covers TikTok Shop category revenue, shop-level revenue estimates, product performance, growth trends, and competition density. SmartScout's data is generated by proprietary algorithms processing TikTok Shop category, shop, product, creator, and video data.

TikTok does not publicly disclose all financial metrics. GMV figures cited in this report represent gross transaction values before returns, cancellations, and platform fees. Different trackers use slightly different methodologies, which is why some figures vary. Where estimates diverge, we note the range.

All data is current as of September 2026 unless otherwise stated.