One person. Every signal.

Ad-sparked interest

One evening on one phone: gaming, social, an ad that lands — and the research it triggers. Follow the line, and open the raw events exactly as they land in your feed.

Anonymous panelist

Male · 25–34 · Melbourne, AU · Android phone

Mobile gamingUtes & 4WDsTowing & campingWeekend DIY

Interests inferred from the observed events below · no name, no PII

App SessionsAdsSearchClickstream
sports_esports

19:04App Sessions feed

Played mobile games for 2 h 06 m

Clash Royale, MONOPOLY GO! and Subway Surfers across seven sessions — every app classified with the Behavix taxonomy.

Phone home screen with game tiles and a session breakdown
groups

21:19App Sessions feed

Opened Facebook and browsed for 25 minutes

A single social session — the surface where the evening's ad exposure happens.

Social feed on a phone with a single 25-minute session
ads_click

21:26Ads feed

Saw 25 ads in feed — 3 of them automotive

Creative, advertiser and call-to-action captured for every impression, including a Toyota HiLux 2026 spot.

In-feed ad creative for a pickup truck, with 25 impressions listed
search

21:47Search feed

Googled the truck from the ad

Twenty-one minutes after the impression, the intent becomes a query.

Search results page for a towing-capacity query
language

21:49Clickstream feed

Spent 6 minutes across 5 pages on toyota.com.au

Landing page, prices, then grade after grade — page-level durations, domain categories and company/ticker mapping included.

Browser window with five brand-site pages and their durations

Ad exposure → search intent → brand site research. The whole attribution chain, observed in one consented stream — no modeling, no panel recall.

Illustrative journeys with synthetic data — the schemas match the production feeds. See how feeds are delivered →