Fact check: viral claim that 71 percent of goods on Amazon come from China misreads the data
A chart that spread widely across social media this month, headlined 'Made in China, Sold on Amazon,' asserted that 71 percent of the goods sold on Amazon originate in China. The figure circulated quickly among e-commerce sellers, but a closer look at the underlying data shows the claim is misleading.
The chart draws on a 2024 industry survey covering just 1,064 third-party sellers, a very small slice of the roughly 9.7 million seller accounts operating on Amazon worldwide. The percentages shown on the chart also add up to 162 percent, because each surveyed seller was allowed to report sourcing products from more than one country.
What the 71 percent figure actually indicates is that 71 percent of the sellers surveyed carry at least one product sourced from China. It does not mean that 71 percent of Amazon's entire product catalog is Chinese-made.
Broader marketplace data tells a different story. Sellers based in China generated 28 percent of Amazon's gross merchandise value in 2023, up from 19 percent in 2018. And while by 2024 over half of the marketplace's top sellers were based in China, a seller's location does not necessarily match where its products are manufactured.
The takeaway is that China remains critically important to Amazon's marketplace, but its share of sales value sits well below the viral 71 percent figure. Sellers discussing sourcing strategy, competitive dynamics, or tariff exposure should keep that distinction in mind.
Tariffs remain a major pressure point for e-commerce sellers, with the new duties on imports from China hitting many businesses hard. Analysts have been publishing impact models and cost calculators that estimate the effect of the tariffs under different shipment-timing scenarios, giving sellers a way to plan pricing and inventory decisions.
In a related statistic circulating among app developers, only about 5 percent of new apps ever surpass $10,000 in total lifetime revenue.
Separately, search specialists are renewing calls for online sellers to add schema markup, also known as structured data, to their websites. Schema works like a set of digital labels on a page, telling Google, Bing, and AI tools exactly what each element represents, whether it is a product price, a review rating, or an FAQ answer.
Pages carrying schema can qualify for rich results in search, including star ratings, prices, and thumbnails, which tend to attract more clicks. Google has reported click-through-rate gains of up to 25 percent for sites after adding structured data. Labeled information is also favored by AI Overviews and chatbots such as ChatGPT, which scan clean, organized markup first, so unlabeled pages risk being passed over in favor of a competitor.
Tools have emerged to simplify the process. WordPress users, for example, can now pick from more than 30 ready-made schema types through point-and-click builders that require no JSON-LD coding, and some plugins pull product titles, prices, and custom fields automatically so a single template can cover every SKU.
Content writers are also being encouraged to apply answer-engine optimization techniques when preparing material for AI-driven search. Recommended practices include using natural conversational language, varying sentence structure, weaving in semantically related terms, replacing vague phrases with concrete examples, favoring active voice, and formatting statements as direct assertions. Writers are further advised to include questions that mirror real search queries with direct answers, aim for an eighth-to-tenth-grade reading level, and mark time references clearly to establish ordering and relevance.
In US trade news, Treasury data through April 23 shows the country collected an unprecedented $15.6 billion in customs revenue during April, a 63 percent jump versus March, and the biggest single-month haul on record, with a week of April collections still to be counted.
Amazon has also rolled out a significant upgrade to Business Reports in Seller Central, adding fresh ASIN-specific data through a Deep Dive panel. The update gives sellers advertising metrics broken down by individual child ASIN, including spend, clicks, ACOS, and ROAS for every variation, removing much of the guesswork about which variant is the money-maker.
The new panel lets sellers benchmark an ASIN against the top 10 performers and the top 25th percentile in its category, and compare conversion rate, sessions, and sales side by side to spot easy optimizations or emerging threats. To find it, sellers go to Business Reports in Seller Central, pick Detail Page Sales and Traffic per Child Item, then click any child ASIN for the Deep Dive view. Amazon is releasing the feature gradually, so accounts that do not see it yet should keep checking.
A newly released downloadable guide on AI-driven product development argues that most product launches fail because founders trust their gut instead of what the market is actually saying. The guide walks through setting realistic profit goals, extracting real buying behavior from thousands of customer reviews, simulating product tests and optimizing based on AI feedback, and validating a market before investing any money.
Audience ownership is another theme gaining traction among sellers. With advertising costs up sharply in recent years, operators are being encouraged to build email lists and other channels they control directly rather than depending entirely on platforms that can change algorithms or suspend accounts without warning.
In other developments, some US-based Amazon and Walmart sellers have begun stockpiling inventory in Canada as a hedge against tariff swings. Microsoft has launched an AI Copilot merchant program for sellers. Amazon has reminded sellers that inventory must arrive by June 9 or June 18, depending on the fulfillment route, to be ready for the extended four-day Prime Day event. And OpenAI is reported to be working with Shopify to bring shopping features directly into ChatGPT.
