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The new �ڰ������� analytics experience gives you visibility into how your business is performing. But data only becomes valuable when you know what it means and how to act on it. This will break down what each report measures, how it’s calculated, and how to use it to inform smarter decisions about your products, pricing, and strategy.

Payments Overview: Key Metrics at a Glance

The overview page shows your top performance indicators, each one clickable to dive deeper.

• Gross Revenue: Total earnings before refunds and fees.
• Net Revenue: Gross revenue minus refunds.
• Transactions: Total number of successful payments.
• Top Payment Methods: Breakdown of revenue by payment type.

Use this page to quickly assess how your business is trending and where to investigate further.

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Core Reports and How to Use Them

Payments by Payment Method

What it shows: Revenue and volume by method (credit card, Apple Pay, Google Pay, Afterpay, etc.)
How it’s calculated: Based on the method used at checkout.
What to look for: Which methods customers prefer.
How to use it: Promote the most-used methods or test visibility of underused ones to increase conversions.

Payments by Pricing Type

What it shows: Revenue by pricing model (one-time, subscription, payment plan).
How it’s calculated: Based on the pricing type selected in your offer.
What to look for: Which models generate the most revenue or volume.
How to use it: Adjust your offer strategy based on performance, for example, add a payment plan if one-time sales are underperforming.

Gross Revenue Over Time

What it shows: Daily, weekly, or monthly revenue trends.
How it’s calculated: Sum of completed transactions over time.
What to look for: Growth patterns, seasonality, or dips in performance.
How to use it: Time product launches around peak performance periods. Monitor whether growth initiatives are paying off.

Refunds Over Time

What it shows: Volume and value of refunds issued.
How it’s calculated: Refund transactions through �ڰ������� Payments.
What to look for: Spikes or trends in customer churn.
How to use it: Investigate which offers have the highest refund rates. Improve sales copy or customer onboarding if needed.

Free Offers Over Time

What it shows: Opt-ins for free offers (lead magnets, free trials, etc.)
How it’s calculated: Counts of completed free transactions.
What to look for: Trends in free offer usage and growth.
How to use it: Pair with conversion tracking to see which free offers lead to paid sales.

Payments by Country & State

What it shows: Geographic breakdown of revenue and sales volume.
How it’s calculated: Based on customer billing address or IP location.
What to look for: High-performing regions or untapped markets.
How to use it: Localize campaigns or explore regional opportunities.

Cart Orders Over Time

What it shows: Orders completed using �ڰ������� Cart.
How it’s calculated: All completed orders through the Cart feature.
What to look for: Trends in multi-product checkouts and bundling performance.
How to use it: Test bundles or volume discounts to increase average order value.

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Best Practices

• Review regularly to establish performance baselines.
  
  
• Look at trends over time, not just snapshots.
  
  
• Pair reports for deeper insight, like combine Refunds Over Time with Pricing Type to spot problem offers.
  
  

These analytics tools are built to help you understand what’s working, what needs attention, and where you have opportunities to grow. For detailed walkthroughs or use cases, .

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