Democratising Path to Purchase Insights

Google's own research calls it the 'Messy Middle': the customer path to purchase is no longer a straight line, but a loop of exploring and evaluating that plays out across search engines, review sites, social platforms, and now AI agents. Site analytics can only ever show one slice of that loop: the part that happens on your own domain. They're blind to whether a customer read a review, watched a YouTube video, or browsed a competitor first. Gener8's interconnected datasets exist to close that gap.

Leverage Gener8's interconnected panel

Gener8's panel covers more than 100,000 UK users, each connected across datasets by a single user ID. Purchases are identified either through eReceipts (Purchase Intelligence) or purchase-confirmation page visits (Consumer Browsing).

From there, the platform looks backward in time to identify every other touchpoint along the way: generic search engine queries, visits to review sites mentioning the brand or product, YouTube views, publisher pages that reference the brand, and app opens.

Put together, that connected view unlocks four things brands consistently need: full visibility into pre-purchase behaviour beyond their own site, the ability to segment shoppers by how they actually browse, benchmarking against category norms, and a way to spot where a journey stalls or leaks to a competitor.

See the big picture

Looking at a 30-day window across March and April, ASOS shoppers visited an average of 36.5 pages and returned to their basket 2.1 times before completing a purchase, with an average of 3 hours 27 minutes elapsing between first visit and transaction. That single window revealed three distinct shopper segments.

Quick Converters make fast decisions with minimal browsing; Considered Browsers explore moderately before buying; High-Intent Explorers put in extensive time and page views before converting. The three segments were roughly equal in size, but High-Intent Explorers purchased more often, two-plus times a month, while Quick Converters skewed toward either the lowest or the highest income brackets, suggesting two very different motivations are producing the same fast-checkout behaviour.

Zoom in at user level

The same dataset supports deep-dives into single customer journeys: tracing a path from a Google search, through category and product pages, out to an off-site cashback site, and back again to purchase. That kind of off-site detail is invisible to standard analytics but is exactly where a lot of purchase decisions actually get made.

How can I access this data?

This view is built from Gener8's Consumer Browsing and Purchase Intelligence datasets, drawn from a consented, first-party panel connected through unified user IDs, giving brands a path-to-purchase picture that goes well beyond what their own analytics can ever show.