A Complete Guide to Stripe Analytics: Understanding Your Payment Data

Learn how to leverage your Stripe data to make informed business decisions and drive growth.

In this guide:

  • Understanding Key Metrics
  • Natural Language Queries
  • Customer Insights
  • AI-Powered Analysis

Understanding Stripe Analytics

Stripe Analytics is more than just tracking payments—it's about understanding your business's financial pulse and customer behavior patterns. With Hunchbank's natural language processing capabilities, you can transform raw Stripe data into actionable insights without writing complex queries.

Key Metrics You Should Track

Revenue Metrics

  • •
    Monthly Recurring Revenue (MRR)

    Predictable revenue component from subscriptions

  • •
    Annual Recurring Revenue (ARR)

    Yearly perspective of recurring revenue

  • •
    Revenue Growth Rate

    Month-over-month and year-over-year growth

Customer Metrics

  • •
    Customer Lifetime Value (CLV)

    Total revenue expected from a customer

  • •
    Churn Rate

    Rate at which customers stop subscribing

  • •
    Customer Acquisition Cost (CAC)

    Cost to acquire new customers

Natural Language Queries

Hunchbank transforms how you interact with your Stripe data through natural language processing. Instead of writing complex queries, simply ask questions in plain English:

Example Queries

  • "Show me MRR growth over the last 6 months"
  • "Who are my top 10 customers by revenue?"
  • "What's my churn rate trend this quarter?"

AI-Powered Analytics

Hunchbank's AI agents continuously monitor your Stripe data, providing proactive insights and automating responses to key events.

Churn Prevention

Automatically identifies at-risk customers and triggers retention workflows

Revenue Optimization

Suggests pricing optimizations based on customer behavior patterns

Fraud Detection

Monitors transactions for suspicious patterns and potential fraud

Best Practices for Stripe Analytics

1

Regular Monitoring

Set up daily or weekly review routines for key metrics. Use Hunchbank's automated alerts to stay informed of significant changes.

2

Segment Analysis

Break down data by customer segments, product lines, and geographic regions to identify specific trends and opportunities.

3

Automated Responses

Configure AI agents to automatically respond to specific triggers, such as failed payments or churn risks.

Getting Started with Hunchbank Analytics

Ready to transform your Stripe data into actionable insights? Follow these steps:

  1. 1
    Connect Your Stripe Account

    Securely link your Stripe account to Hunchbank using our guided setup process

  2. 2
    Configure AI Agents

    Set up automated monitoring and response workflows based on your business needs

  3. 3
    Start Asking Questions

    Use natural language queries to explore your data and generate insights

Next Steps

Natural Language Queries →

Learn how to ask the right questions to get valuable insights

AI Agents Setup →

Configure automated monitoring and response workflows