> ## 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.

# How to 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-app/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/Ty9A_E2HdZ0xj4QZ/images/knowledge-app/reporting/templates/revenue-customer-quality.png?fit=max&auto=format&n=Ty9A_E2HdZ0xj4QZ&q=85&s=d62fb330125b6ad67c4a08986ce8a7c5" alt="Revenue & Customer Quality dashboard end state" width="1346" height="801" data-path="images/knowledge-app/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

<CardGroup cols={2}>
  <Card title="Metrics glossary" icon="book" href="/knowledge-app/referral/reporting/reference/metrics-glossary">
    See what each revenue metric covers.
  </Card>

  <Card title="Report to stakeholders" icon="share" href="/knowledge-app/referral/reporting/common-tasks/report-to-stakeholders">
    Turn this dashboard into a deck or email.
  </Card>
</CardGroup>
