> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mention-me.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Monitor revenue quality

> Track whether referred customers are good customers.

**Question**: "Are referred customers worth more than the average customer?"

Referral's commercial case usually hinges on two things: higher average order value and better repeat-purchase behaviour. Two metric pairs tell that story.

## Fastest path: Revenue & Customer Quality template

The [Revenue & Customer Quality template](/knowledge-v2/referral/reporting/reference/templates-catalogue) assembles this view. Nine tiles, mostly metric cards.

**New dashboard** → **Browse templates** → **Revenue & Customer Quality**.

<Frame caption="Revenue & Customer Quality dashboard end state">
  <img src="https://mintcdn.com/mentionme/8q3ChbAON-y-ILjT/images/knowledge-v2/reporting/templates/revenue-customer-quality.png?fit=max&auto=format&n=8q3ChbAON-y-ILjT&q=85&s=49e0cfd1c53e6853e66ebeaedb95652a" alt="Revenue & Customer Quality dashboard end state" width="1346" height="801" data-path="images/knowledge-v2/reporting/templates/revenue-customer-quality.png" />
</Frame>

## Build it yourself

### 1. First-order value: referred vs non-referred

Two metric tiles side by side:

* **New Customer AOV**
* **Non-Referred Customer AOV**

Set both to compare against **Last year** or **Previous period**, whichever is most relevant.

If New Customer AOV is consistently higher, referred customers are spending more on their first orders. A typical pattern: New Customer AOV £85 vs Non-Referred £62. That's a 37% premium worth showing in any commercial review.

### 2. Repeat-purchase value

One line chart:

* **New Customer Subsequent Revenue** over time (last 12 months).

This is spend from referred customers beyond their first order. A rising line means referred customers are coming back, which is where the long-term commercial case lives.

### 3. Headline revenue

One metric tile:

* **Total Referral Revenue** with **Compare to previous period**.

## The usual story

Across most referral programmes, referred customers:

* Have a higher AOV on first orders than non-referred customers.
* Repeat purchase at a higher rate.
* Therefore contribute more subsequent revenue per head over time.

Your dashboard is either confirming this pattern for your programme or highlighting where it's not holding, which is itself useful.

## Next

* [Metrics glossary](/knowledge-v2/referral/reporting/reference/metrics-glossary) for what each revenue metric covers.
* [Report to stakeholders](/knowledge-v2/referral/reporting/common-tasks/report-to-stakeholders) to turn this dashboard into a deck or email.