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

# Forecasting

> MRR trends, cohort retention, revenue projections, and customer health

# Revenue Forecasting

<Note>Requires Growth tier or above</Note>

The Forecasting page provides forward-looking analytics: MRR trends, revenue projections, cohort retention, and customer health scoring.

## MRR Trend

Monthly Recurring Revenue over the last 6 months, broken down into:

* **MRR** — Total recurring revenue from active subscriptions
* **New MRR** — From subscriptions that started in the month
* **Churned MRR** — Lost from cancelled/expired subscriptions
* **Net New** — New minus churned
* **Active Subs** — Count of active subscriptions at month end

<Info>
  MRR is calculated from both NMI recurring subscriptions and detected subscriptions. Amounts are normalized to monthly (weekly × 4.33, quarterly ÷ 3, yearly ÷ 12).
</Info>

## Revenue Projection

3-month revenue forecast using linear regression on the last 6 months of transaction data. Each projection shows:

* **Projected amount**
* **Confidence level** — Decreases further into the future
* **Basis** — Growth or declining trend

## Cohort Retention

Shows what percentage of customers acquired in each month made another purchase in subsequent months. Based on **first transaction date**, not account creation date.

Read the table as: "Of the 100 customers acquired in January, 45% made a purchase in February (Month 1), 30% in March (Month 2)..."

Color coding:

* 🟢 50%+ — Excellent retention
* 🟡 25-50% — Average
* 🔴 Under 25% — Needs attention

## Customer Health Scores

Every customer gets a health score from 0-100 based on:

| Factor                | Points | Description                             |
| --------------------- | ------ | --------------------------------------- |
| Payment success rate  | 30     | Higher approval rate = healthier        |
| Tenure                | 20     | Longer relationship = more stable       |
| Recent activity       | 20     | Active in last 30 days = engaged        |
| Transaction frequency | 15     | More frequent payments = more committed |
| Revenue               | 15     | Higher spending = more valuable         |

Risk levels:

* **Low (70-100)** — Healthy, engaged customer
* **Medium (40-69)** — Some risk factors, monitor
* **High (0-39)** — At risk of churning, needs attention

Click any customer row to view their detail page.