Canonical URL: https://chargezen.com/docs/checkoutos/analytics/metrics

# Key Metrics

Understanding the metrics that matter for checkout optimization

Last updated: 2025-01-16

Understanding your **key metrics** is essential for optimizing checkout performance. This guide explains what each metric measures, why it matters, and how to improve it.

## Revenue Metrics

### Total Revenue

The total value of all completed orders in the selected period.

Total Revenue

```json
{
  "metric": "total_revenue",
  "definition": "Sum of all order totals (after discounts, before shipping/tax)",
  "calculation": "SUM(order_subtotal) for completed orders",
  "good_for": "Overall business health",
  "benchmark": "Varies by industry"
}
```

### CheckoutOS-Attributed Revenue

Revenue directly attributable to CheckoutOS features:

*   Upsell product revenue
*   Bundle discounts saved (vs buying separately)
*   Incremental revenue from checkout extensions

Attributed Revenue

```json
{
  "metric": "checkoutos_revenue",
  "definition": "Revenue from products added via CheckoutOS features",
  "includes": [
    "Post-purchase upsell revenue",
    "Bundle product revenue",
    "Subscription conversion value"
  ],
  "excludes": [
    "Original cart items",
    "Non-CheckoutOS upsells"
  ]
}
```

### Revenue Per Visitor (RPV)

Average revenue generated per checkout visitor. A key metric for A/B testing.

RPV Calculation

```json
{
  "metric": "revenue_per_visitor",
  "calculation": "Total Revenue / Total Checkout Visitors",
  "example": {
    "total_revenue": 127450,
    "visitors": 15420,
    "rpv": 8.27
  },
  "why_it_matters": "Accounts for both conversion rate and AOV changes"
}
```

## Order Metrics

### Average Order Value (AOV)

The average value of completed orders. CheckoutOS focuses on increasing AOV through upsells, bundles, and subscription conversions.

AOV Analysis

```json
{
  "metric": "average_order_value",
  "calculation": "Total Revenue / Number of Orders",
  "variants": {
    "baseline_aov": "Orders without CheckoutOS features",
    "enhanced_aov": "Orders with CheckoutOS features",
    "aov_lift": "(Enhanced - Baseline) / Baseline * 100"
  },
  "example": {
    "baseline": 78.20,
    "enhanced": 94.50,
    "lift": "20.8%"
  }
}
```

##### AOV Lift Target

Most stores see 15-30% AOV lift from CheckoutOS. If your lift is below 15%, review your upsell offers and targeting rules.

### Order Count

Total number of completed orders. While CheckoutOS focuses on AOV, some features (like checkout extensions) can also improve order completion rate.

## Conversion Metrics

### Checkout Conversion Rate

Percentage of checkout visitors who complete their order.

Checkout Conversion

```json
{
  "metric": "checkout_conversion_rate",
  "calculation": "Completed Orders / Checkout Started * 100",
  "benchmarks": {
    "poor": "< 45%",
    "average": "45-55%",
    "good": "55-65%",
    "excellent": "> 65%"
  }
}
```

### Upsell Acceptance Rate

Percentage of customers who accept an upsell offer when shown.

Upsell Acceptance

```json
{
  "metric": "upsell_acceptance_rate",
  "calculation": "Upsells Accepted / Upsells Shown * 100",
  "benchmarks": {
    "poor": "< 10%",
    "average": "10-15%",
    "good": "15-25%",
    "excellent": "> 25%"
  },
  "factors": [
    "Offer relevance",
    "Discount attractiveness",
    "Product fit",
    "Timing"
  ]
}
```

### Bundle Attachment Rate

Percentage of orders that include a bundle offer.

Bundle Attachment

```json
{
  "metric": "bundle_attachment_rate",
  "calculation": "Orders with Bundles / Total Orders * 100",
  "benchmarks": {
    "average": "5-10%",
    "good": "10-20%",
    "excellent": "> 20%"
  }
}
```

## Engagement Metrics

### Offers Shown

Number of times CheckoutOS features were displayed to customers:

*   Upsell offers presented
*   Bundle suggestions displayed
*   Checkout extensions rendered

### Click-Through Rate (CTR)

Percentage of customers who interact with CheckoutOS features.

CTR Metrics

```json
{
  "engagement_metrics": {
    "upsell_ctr": {
      "definition": "Clicks on upsell 'Add' button / Views",
      "good": "> 20%"
    },
    "bundle_ctr": {
      "definition": "Bundle builder interactions / Views",
      "good": "> 15%"
    },
    "extension_ctr": {
      "definition": "Clicks on extension elements / Views",
      "good": "Varies by extension"
    }
  }
}
```

## Customer Metrics

### New vs Returning

Compare CheckoutOS performance across customer types:

*   **New customers** — First-time buyers
*   **Returning customers** — Previous purchasers

Returning customers typically have higher acceptance rates — use this data to adjust targeting.

### Customer Lifetime Value Impact

Track how CheckoutOS affects long-term customer value:

*   Subscription conversion rate
*   Repeat purchase rate for upsell customers
*   Average orders per customer

## Setting Metric Goals

##### Goal Setting

*   **Start with benchmarks** — Use industry averages as baselines
*   **Set realistic targets** — 10-20% improvement is significant
*   **Track trends, not snapshots** — Week-over-week matters more
*   **Focus on leading indicators** — CTR predicts acceptance rate

## Related Topics

[

### Analytics Dashboard

View your metrics in action

Learn more



](https://chargezen.com/docs/checkoutos/analytics/dashboard)[

### A/B Testing

Test changes to improve metrics

Learn more



](https://chargezen.com/docs/checkoutos/ab-testing/overview)

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