Datapods
Use Case

See the path to purchase. The real one.

From the first Google search through the YouTube review to the purchase on Amazon or in store: we see the whole journey, platform by platform. And where people drop off, we ask them why.

No journeys reconstructed from surveys weeks later — observed paths, step by step.

Observed journey · espresso machine
Day 1Google search“best espresso machine 2026”
Day 3YouTube reviewComparison video, watched 14 min
Day 5Instagram adSaw competitor campaign
Day 6Price comparisonAmazon ↔ MediaMarkt, 3 product pages
Day 9PurchaseE-receipt: €649 — with the competitor
How it works

From behavior to answers — and back.

[01]

Trace the journey in behavior

Searches, videos, ads, product pages, price comparisons, purchase: the real sequence across platforms — not what people remember.

[02]

Ask at the breaking points

Where prospects drop off, our AI interviews exactly those people: what was missing? What was unclear? What did the competitor do better?

[03]

Fix friction and measure

After your changes, the panel shows whether more journeys end in purchase.

A question you could ask tomorrow

Where do coffee-machine shoppers drop off — at search, at comparison, or in checkout?

What you get

Cross-platform journeys

Google, YouTube, Amazon, TikTok, browsing — linked per person, not per channel.

Drop-off analysis

Where journeys end instead of converting — with frequency and context.

Qual at the breaking point

Interviews with people who verifiably dropped off.

Before/after measurement

Journey change after your fixes, in the same panel.

Why our data wins here
12

platforms linked per person — the journey doesn't end at the channel border.

Search

Google searches with intent classification: informational, comparison, purchase.

Browsing

Product pages and price comparisons, classified by category and brand.

Powered by the Datapods app
25,000+people in the panel, verified through connected accounts
11B+behavioral data points across 12 platforms
100%opt-in — every share is a conscious, paid decision
GDPRnative & EU-hosted. Never used to train open models.
Use Cases

Your next big insight is one question away.

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Real people from the panel — ready for your questions.