One person. Every signal.

Path to purchase

An Instagram ad at lunch, a purchase after dinner — on a different device. Follow the line, and open the raw events exactly as they land in your feed.

Anonymous panelist

Female · 35–44 · Dallas, US · Android phone + Windows PC

Trail runningOutdoor gearReview-led researchMarketplace shopping

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

AdsE-CommerceSearchClickstream
ads_click

12:05Ads feed

Saw a Salomon trail-shoe ad on Instagram

Creative text and call-to-action captured at impression time.

Trail-shoe ad creative on a phone
storefront

12:31E-Commerce feed

Searched Amazon for trail running shoes

High-intent retail behavior inside the app — invisible to web-only measurement.

Retail search results grid of trail running shoes
visibility

12:33E-Commerce feed

Viewed the Salomon Speedcross 6 product page

Product, price, discount and seller — the anatomy of consideration.

Product page with price, discount and rating
search

19:04Search feed

That evening, compared alternatives on Google — from a PC

Same pseudonymous user, different device. Cross-device identity is native to the feed.

Desktop search comparing two shoe models side by side
language

19:20Clickstream feed

Read an 11-minute review on runrepeat.com

Consideration happens on the open web — clickstream fills the gap between retail touchpoints.

Long-form review article with a reading-progress bar
shopping_cart_checkout

19:26E-Commerce feed

Bought the shoes on Amazon

The journey ends in an actual completed purchase — $119, that same evening.

Order confirmation with an itemised total

From the first ad on her phone at lunch to a completed purchase on her desktop after dinner — the entire funnel, one continuous observable story.

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