Datapods
Use Case

Find the customers you lost — and ask them why.

We spot in real purchase behavior who stopped buying from you and what's in their basket instead. Then our AI interviews exactly those people. And after your campaign, the same panel shows whether they come back.

With people who verifiably churned — not people who happen to remember something.

AI interview · live
Claudia, 56Verified churner
Bought your brand 14× · last purchase 11 weeks ago · switched to private label
AI moderator

You bought the brand for a long time and recently switched to private label. What tipped the scales?

Claudia, 56

Honestly, the price. Last time the gap was almost two euros — so you just give it a try.

AI moderator

How did the private label compare? Is there anything that would bring you back?

How it works

From behavior to answers — and back.

[01]

Detect churners

In real orders and receipts we see who stopped buying your brand — and where the budget went.

[02]

Interview exactly those people

AI-moderated interviews and quant studies with verified churners. Why did they leave? What would bring them back? Answers in hours.

[03]

Measure win-back in behavior

After your campaign we keep watching the same households: do they buy again? Do they stay? Impact, not gut feeling.

A question you could ask tomorrow

Why are we losing loyal customers to private label — and what would win them back?

What you get

Churn detection on purchase data

Churn shows up in the basket, not in a questionnaire: orders, e-receipts, subscriptions.

Switching analysis

Not just that they switched, but where to: brand, private label, channel — with timing.

Interviews with verified churners

AI-moderated conversations, adaptive follow-ups, synthesis with quotes — ready to share.

Win-back tracking

Same households, same data: you see in black and white whether your campaign works.

Why our data wins here
7.4B+

Amazon events — orders, searches, carts. We see the switch the moment it happens.

E-receipts

Receipts and order confirmations from the inbox — beyond Amazon, too.

Subscriptions

Sign-ups and cancellations from transaction emails — subscription churn included.

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

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