.svg)
Web traffic data for marketing research
Web traffic data records visits to individual domains, the channels that brought them, and how long visitors stayed, giving marketing researchers a panel of consumer attention that reaches every competitor rather than only the brand paying for the analytics. It observes the search, comparison and abandonment that precede a purchase, none of which appear in sales records or in survey recall. Because the measures are reported at the domain and channel level over time, they support event studies around platform policy changes, advertising shocks, product launches and entry, at a monthly or daily frequency that panel surveys cannot match.
How marketing researchers use web traffic data
Advertising effectiveness and platform policy shocks
Marketing researchers treat site level visits and referral mix as outcomes in difference in differences designs around a platform or regulatory change, comparing exposed e-commerce domains with otherwise similar ones that the change did not touch. The design turns on the channel breakdown, since a policy that degrades targeting shows up first as a shift between paid and organic arrivals rather than as a fall in total visits. The traffic figures are modelled from a device panel and clickstream rather than read off server logs, so estimates for small domains are noisy and should carry a minimum traffic threshold.
Cross channel substitution between online and offline demand
When a new online option enters a market, researchers use domain level traffic as the measure of adoption and pair it with transaction or receipt data to test whether the incumbent offline channel loses volume over the same period. The identifying variation is usually staggered entry across states or markets, with traffic providing the high frequency treatment intensity that sales aggregates lack. Traffic measures attention rather than purchase, so conversion is unobserved unless the panel is joined to spend at the same brand.
Shifts in how consumers discover and evaluate products
Marketing researchers track the split of arrivals across direct, organic search, paid search, referral and social to document how discovery moves between search engines, marketplaces, review platforms and AI assistants, then test whether categories where evaluation is costly move faster than categories where it is not. Audience overlap between domains supports the related question of which sites a shopper consults in the same session. Channel attribution is inferred from panel behaviour, and activity inside logged in mobile apps is largely invisible, so app first categories are understated.
Web traffic datasets available on Dewey
Similarweb
Visit estimates, traffic channel breakdowns, engagement measures and audience overlap for millions of websites, which marketing researchers use as a competitor wide panel of consumer attention rather than the single site view a brand's own analytics gives.
View datasetConsumer Edge
Consumer transaction records that let researchers test whether a movement in a brand's site traffic converts into realised spend at that brand, or only into browsing.
View datasetContext Analytics
Message level social sentiment on brands and tickers, useful as a separate measure of attention to set against traffic when asking whether talk and visits move together around a campaign or a controversy.
View datasetMore published work using web traffic data
Dante Donati · Marketing Science · 2025
Yonas Kassa · Conference Paper · 2025
David Lang, Benjamin Listyg, and Zeve Sanderson · Journal of law & empirical analysis. · 2026
.svg)