Google Shopping search behavior covers far more than a product query followed by a click. Google says people shop across its services more than 1 billion times per day, while its Shopping Graph contained 45 billion product listings in 2024. Research also shows search appearing throughout the purchase journey, alongside mobile research, retailer apps, price comparisons, reviews, and delivery concerns.
Contents
- Google Shopping scale and demand
- Search across the purchase journey
- Mobile, retailer apps, and omnichannel research
- Prices, product information, and comparison
- Trust, delivery, and shopping friction
- Seasonal changes in product searches
- Holiday and deal-day behavior
Google Shopping scale and demand
The scale of shopping activity helps explain why search behavior is such a useful signal for retailers, brands, and SEO teams. Google described more than 1 billion shopping-related interactions per day in 2024. That is a platform-level activity figure, not a count of unique people or completed purchases.
Google’s Shopping Graph contained 45 billion product listings when the company introduced its redesigned Shopping experience in 2024. The same experience paired that listing coverage with Gemini models, indicating how product discovery was being organized around a very large and changing inventory. These figures describe Google’s ecosystem and should not be read as the size of the online retail market.
| Google Shopping measure | Reported figure | Period and source |
|---|---|---|
| Shopping activity across Google | More than 1 billion per day | 2024, Google |
| Shopping Graph product listings | 45 billion | 2024, Google |
| Historical period used for price insights | 90 days | 2024, Google |
| Holiday 100 gift ideas | 100 | 2024, Google |
Google’s price-insight comparison uses historical averages from the previous 90 days. That measurement window matters: a price label based on a 90-day history is a recent comparison, not a permanent or lifetime benchmark.
Google’s 2024 Holiday 100 presented 100 gift ideas based on trending searches. The 2023 edition grouped its ideas into six product areas: Home & Garden, Apparel & Accessories, Electronics, Beauty, Toys & Games, and Health & Wellness. The list is therefore a trend-oriented editorial collection, not a census of every product people search for.
Search across the purchase journey
Search is often present before a shopper has chosen a brand, product, or retailer. In the sectors covered by the older Beyond Last Click: The Role of Search study, 70% of consumers who purchased online performed at least one relevant search during the observation period. The report’s study-era observation period is retained here; it should not be treated as a 2026 measurement.
The sector differences were substantial. Search appeared in the purchase journey for 86% of property purchasers and 76% of energy purchasers. It appeared for 66% of apparel purchasers and 66% of mobile-phone purchasers. The corresponding figures were 60% for car-insurance purchasers and 56% for loan purchasers.
These results describe the share of purchasers whose observed journey included relevant search, not the share who bought directly from Google Shopping. They also show why a single last-click metric can miss earlier research activity, particularly for products or services requiring comparisons and planning.
For consumer electronics in Central and Eastern Europe, 90% of shoppers reported online research in the 2019 Journey of a Smart Shopper: Consumer Electronics in CEE research. In the same study, 44% said they first became aware of the purchased electronics product online. The findings are regional and historical, but they provide a clear picture of online discovery preceding a physical or digital purchase.
Mobile, retailer apps, and omnichannel research
The CEE electronics research found that 90% of shoppers researched on mobile in 2019. Mobile was not the only digital touchpoint: 27% had a retailer app on their smartphone, and 41% of shopping-app users made purchases using the app.
The reported final purchase split was 56% online and 44% offline. That split reinforces an important distinction in Google Shopping behavior: online research does not guarantee an online checkout. Search can influence a store visit, an app purchase, a retailer-site transaction, or a later decision made on another device.
Search was the most-used listed information source for the CEE electronics shoppers, at 72%. Websites were used by 39% as a listed product-information source. Because these measures come from the same 2019 regional study, they should be interpreted as survey results for that shopper group rather than current global benchmarks.
The role of search also appeared in an India beauty-product study conducted in Q3 2019. There, 58% of consumers agreed that Google Search was a destination for finding beauty information. In addition, 29% had visited a beauty retailer as a result of a Google search. The study covered 1,740 internet users aged 18–45 who had bought beauty products in the prior month, so its results are specific to that population and category.
Prices, product information, and comparison
Price is a major reason shoppers enter the journey, but it is not the only information need. Among marketplace buyers in Singapore, India, and Thailand surveyed from July 29–August 14 and October 30–November 22, 2020, 76% cited price deals or promotions as an upper-funnel motivation. Product reviews followed at 55%, while 42% cited general product specifications.
Visual information also mattered. In the same research, 37% cited product specifications shown through photos and 25% cited specifications shown through videos as upper-funnel motivations. These responses indicate that product discovery is connected to both commercial incentives and the effort to reduce uncertainty about what is being purchased.
The middle-funnel motivations were somewhat different. Deals, promotions, or discounts were cited by 57%, comparing products by 41%, and having everything wanted in one place by 34%. A marketplace searcher may therefore move from a broad deal or product query toward a more concentrated comparison task, where completeness and side-by-side evaluation become useful.
| Marketplace motivation | Funnel stage | Share of buyers |
|---|---|---|
| Price deals or promotions | Upper funnel | 76% |
| Product reviews | Upper funnel | 55% |
| General product specifications | Upper funnel | 42% |
| Deals, promotions, or discounts | Middle funnel | 57% |
| Comparing products | Middle funnel | 41% |
| Everything wanted in one place | Middle funnel | 34% |
The marketplace research covered 3,600 respondents across Singapore, India, and Thailand. Its percentages are survey findings for that sample and period, not universal estimates for all Google Shopping users.
Trust, delivery, and shopping friction
Search behavior is shaped by the risks shoppers are trying to manage. Among marketplace non-buyers in the upper funnel, 31% cited product authenticity as a barrier, and another 31% cited product-video or product-photo issues. A further 23% said sellers on the platform did not seem trustworthy. These concerns point to the importance of clear product evidence and seller credibility before a shopper is ready to proceed.
Other upper-funnel barriers included a lack of supporting or additional services, cited by 16%, and product information that was not detailed enough, cited by 14%. Better descriptions, imagery, and service details address different problems: one concerns whether the product is genuine, another whether it can be understood, and another whether the seller can support the transaction.
The middle-funnel non-buyers in the same research showed a similar trust pattern. Product authenticity was a barrier for 26%, while 21% said sellers did not seem trustworthy. Delivery issues, including cost or unavailable options, were cited by 19%.
Because the upper- and middle-funnel figures measure different stages, they should not be combined or treated as a single ranking. They show that product discovery, evaluation, and purchase readiness can each have distinct points of friction.
Seasonal changes in product searches
Google’s U.S. Holiday 100 trends show how quickly product-search interest can change around seasonal shopping. In 2024, searches for “tonies set” jumped 5,000%. Searches for the e.l.f. Cosmetics Halo Glow Liquid Filter also increased 5,000%. These are Google Trends-style relative changes, not absolute query counts.
Other 2024 U.S. increases included “pillowsac” at 665%, “t-shirt slogans” at 160%, “unisex fragrances” at 130%, “lamp for kids” at 95%, and “ballet flats” at 84%. Each percentage describes the reported change for that query in Google’s Holiday 100 trend context, rather than a forecast of sales or inventory.
Gift-related interest can also rise sharply in a narrower seasonal window. U.S. search interest in “mother’s day jewelry” rose 3,250% during the month before Google’s May 2024 shopping launch. The period and geography are important: this is a U.S. month-before-event change, not a year-round global demand rate.
For SEO and merchandising, these figures support watching category and product-language changes at the query level. A large relative increase may identify emerging interest, but it does not reveal the number of searches or guarantee that the trend will persist.
Holiday and deal-day behavior
Gift discovery is a measurable problem for holiday shoppers. In 2023, 41% of U.S. holiday shoppers said holiday shopping was difficult because they needed more gift ideas, while 23% said they felt uninspired. Google’s Holiday 100 was presented in that context as a set of ideas drawn from trending searches.
Deal timing also affects when people begin shopping. In a U.S. survey conducted May 31–June 2, 2024, 51% of shoppers said they patiently wait for a favorite item to go on sale. Twenty percent said they get a head start on holiday shopping during the summer deal season, and 44% said deal days prompt them to shop more than they normally would.
Last-minute shopping brings a different constraint. In 2024, 20% of people said the biggest challenge with last-minute shopping was finding a wide selection of gifts that would arrive on time. That concern connects search behavior with inventory, delivery promises, and the practical deadline facing the shopper.
Together, the reported figures describe a search journey that starts with discovery, develops through product information and comparisons, and is repeatedly influenced by price, trust, seasonality, and delivery. The survey results come from their stated populations and periods; the search-interest figures are relative changes rather than absolute demand totals.