Analytics
Analytics Overview
Gain insights into your business with real-time analytics and performance trends.
Analytics are a vital part of running a fintech SaaS platform. They provide insights into customer behavior, revenue trends, subscription performance, and potential areas of improvement. Using analytics effectively allows you to make data-driven decisions that enhance growth, retention, and operational efficiency.
Key Metrics to Track
Revenue Metrics
Monthly Recurring Revenue (MRR): Total predictable revenue per month.
Annual Recurring Revenue (ARR): MRR multiplied by 12, providing a yearly view.
Revenue Churn: Revenue lost from cancellations or downgrades.
Average Revenue Per User (ARPU): Total revenue divided by active customers.
Customer Metrics
Customer Churn Rate: Percentage of customers who cancel their subscriptions.
Customer Lifetime Value (CLV): Estimated total revenue from a customer over their lifetime.
New vs. Returning Customers: Tracks growth and retention patterns.
Payment & Transaction Metrics
Failed Payment Rate: Percentage of unsuccessful transactions.
Refund Rate: Volume and value of refunded transactions.
Chargeback Rate: Number of chargebacks relative to total transactions.
Interactive Dashboard Features
Most platforms provide dashboards where you can visualize analytics in real time. Key features include:
Filter by Date Range – View metrics daily, weekly, monthly, or custom ranges.
Segmentation – Analyze data by subscription plan, customer location, or payment method.
Trends & Forecasting – Identify patterns over time and predict future revenue.
Export & Reporting – Generate CSV or PDF reports for internal or external use.
Example Analytics Table
Metric | Value | Change (MoM) |
|---|---|---|
MRR | $25,400 | +5% |
ARR | $304,800 | +5% |
Customer Churn Rate | 3% | -1% |
Failed Payment Rate | 2% | 0% |
Refund Rate | 1% | -0.2% |
Tips for Effective Analytics
Monitor Key Metrics Regularly – Set up automated reports and alerts for critical KPIs.
Segment Your Data – Different plans or regions may perform differently; segmentation reveals actionable insights.
Compare Over Time – Trend analysis helps identify seasonal effects, growth patterns, and potential risks.
Use Visualizations – Graphs and charts make it easier to interpret complex data quickly.
Advanced Insights
Cohort Analysis: Track behavior of groups of customers over time to understand retention patterns.
Funnel Analysis: Identify drop-offs in conversion processes, such as signups or subscription upgrades.
Revenue Forecasting: Predict future revenue based on historical trends and growth assumptions.
Strong analytics not only provide visibility into your business performance but also help in proactive decision-making. Regularly reviewing and acting on analytics ensures sustainable growth and minimizes revenue leakage.