# See the path to purchase. The real one.

> From the first search through the review and the price comparison to the purchase: we see the whole journey, platform by platform, plus the paths through your own shop and app. You see which touchpoint does which job, and where journeys break.

No journey reconstructed from memory weeks later. Observed paths, step by step.

## How it works

### 01 Trace the journey in behavior

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

### 02 Separate touchpoints by their job

Which channels create awareness, which trigger the purchase and which build long-term loyalty. Reported separately for new and returning customers.

### 03 Find friction and fix it

Where journeys break: in search, on the product page, in checkout. After your changes, the panel shows whether more journeys end in purchase.

## 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: in search, on the product page, in checkout.

### Touchpoint roles

Awareness, conversion, loyalty: which contact point actually does which job.

### 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.

## A question you could ask tomorrow

Which touchpoints lead to purchase, and how do new and returning customers differ?

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Source: https://www.datapods.app/en/use-cases/customer-journey