# 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.

## How it works

### 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.

## 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.

## A question you could ask tomorrow

Who stopped buying from us, and where did the budget go?

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Source: https://www.datapods.app/en/use-cases/churn-win-back