Analytics
Track revenue metrics, MRR, churn, and checkout conversion rates
The Analytics dashboard provides deep insights into your business performance. Track revenue trends, understand customer behavior, and identify growth opportunities.
Accessing Analytics
Navigate to Finance > Analytics to view your analytics dashboard. Checkout-specific analytics are available under Checkout > Analytics.
Revenue Metrics
| Metric | Description |
|---|---|
| Gross Revenue | Total revenue before any deductions |
| Net Revenue | Revenue after refunds, chargebacks, and fees |
| MRR | Monthly Recurring Revenue from subscriptions |
| ARR | Annual Recurring Revenue (MRR x 12) |
| ARPU | Average Revenue Per User |
MRR Movements
Track how your MRR changes over time:
| Movement | Description |
|---|---|
| New MRR | MRR from new subscriptions |
| Expansion MRR | MRR increase from upgrades |
| Contraction MRR | MRR decrease from downgrades |
| Churned MRR | MRR lost from cancellations |
| Reactivation MRR | MRR from reactivated subscriptions |
Subscription Metrics
| Metric | Description |
|---|---|
| Active Subscriptions | Current number of active subscriptions |
| Churn Rate | Percentage of subscriptions canceling per period |
| Trial Conversion | Percentage of trials converting to paid |
| LTV | Customer Lifetime Value |
Charts and Visualizations
Interactive charts help you understand trends:
- Revenue over time -- Daily, weekly, or monthly view
- MRR waterfall -- Visual breakdown of MRR changes
- Subscription growth -- New vs churned over time
- Payment success rate -- Transaction success trends
- Revenue by product -- Top performing products
- Geographic distribution -- Revenue by country
Time Period Selection
Analyze data across different time periods:
- Last 7 days
- Last 30 days
- Last 90 days
- Year to date
- Custom date range
Compare periods to see growth. Select "Compare to previous period" to view percentage changes.
Cohort Analysis
Understand customer behavior over time:
- Retention cohorts -- How long customers stay by signup month
- Revenue cohorts -- Revenue generated by signup cohort
- Product cohorts -- Behavior differences by first product
Checkout Analytics
Checkout Analytics helps you understand how customers move through your checkout flow, identify drop-off points, and optimize for higher conversion rates.
Key Checkout Metrics
| Metric | Description |
|---|---|
| Checkout Views | Total times checkout page was loaded |
| Checkout Started | Customers who began entering info |
| Payment Attempted | Customers who clicked pay |
| Checkout Completed | Successful purchases |
| Conversion Rate | Completed / Views (percentage) |
| Abandonment Rate | Started but not completed |
Checkout Funnel
Track customers through each step:
- Page View -- Landed on checkout
- Email Entered -- Provided email address
- Details Complete -- Filled all required fields
- Payment Attempted -- Clicked pay button
- Payment Successful -- Transaction completed
The funnel visualization shows where customers drop off so you can focus optimization efforts.
Performance by Checkout Link
Compare performance across different checkout links:
- Revenue generated per link
- Conversion rate per link
- Average order value
- Abandonment rate
Use this to identify which checkout links perform best and apply winning patterns to others.
Device Breakdown
Understand how device type affects conversions:
| Device | Typical Insights |
|---|---|
| Desktop | Usually higher conversion, larger AOV |
| Mobile | Higher traffic, may need optimization |
| Tablet | Behavior between desktop and mobile |
Payment Method Analytics
See which payment methods customers prefer:
- Usage percentage by payment method
- Success rate by payment method
- Average order value by method
Traffic Sources
Track where checkout traffic comes from:
- Direct -- Direct link access
- Referral -- From other websites
- UTM Source -- Tagged marketing campaigns
- Ref parameter -- Custom tracking codes
Use UTM parameters to track marketing effectiveness:
https://checkout.revkeen.com/pay/xyz123
?utm_source=facebook
&utm_medium=paid
&utm_campaign=summer-saleTime to Convert
Understand checkout duration:
- Average time -- From page view to completion
- Time per step -- Duration at each stage
- Optimal range -- Target checkout time
Longer checkout times often indicate friction. Look for steps that take unusually long.
Failure Analysis
Understand why payments fail:
| Failure Reason | Possible Actions |
|---|---|
| Card declined | Suggest trying another card |
| Insufficient funds | Offer payment plans if available |
| Invalid card | Improve input validation |
| 3D Secure failed | Clear authentication instructions |
| Fraud blocked | Review fraud rules |
Optimization Opportunities
Use analytics to identify improvements:
- High abandonment at email -- Consider guest checkout
- Drop-off at address -- Minimize required fields
- Failed payments -- Add more payment methods
- Mobile issues -- Optimize mobile experience
- Long checkout time -- Simplify the flow
Exporting Reports
Export data for further analysis:
- Select the report or chart
- Click Export
- Choose format (CSV, Excel, or PDF)
- Download the report
Scheduled Reports
Automatically receive reports via email:
- Configure the report parameters
- Click Schedule
- Set frequency (daily, weekly, monthly)
- Add email recipients
- Save the schedule