Natural Language Queries: Exploring Stripe Data in Plain English

Learn how to analyze your Stripe data using simple, conversational questions instead of complex queries.

What you'll learn:

  • Query Structure & Patterns
  • Common Query Examples
  • Advanced Query Techniques
  • Best Practices & Tips

Understanding Natural Language Queries

Natural language queries allow you to interact with your Stripe data using everyday language instead of technical query syntax. Hunchbank's AI understands context, intent, and common business terminology to deliver accurate insights from your questions.

Basic Query Patterns

Revenue Queries

  • "What was my total revenue last month?"
  • "Show me MRR growth trend this year"
  • "Compare revenue between Q1 and Q2"

Common Query Categories

Customer Analysis

  • • "Who are my top 10 customers by spend?"
  • • "Show me customers at risk of churning"
  • • "List customers who upgraded this month"

Subscription Metrics

  • • "What's my current MRR?"
  • • "Show churn rate over last 6 months"
  • • "List all canceled subscriptions"

Advanced Query Techniques

Hunchbank's natural language processing can handle complex queries that combine multiple metrics, timeframes, and conditions.

Advanced Query Examples

Comparative Analysis

"Compare revenue from enterprise customers vs SMBs in Q1"

Multi-metric Analysis

"Show me customers with high LTV but declining usage in last 3 months"

Trend Analysis

"Analyze payment failure patterns by card type and region"

Query Tips & Best Practices

1

Be Specific with Time Periods

Instead of "recent sales", use "sales in the last 30 days" or "Q1 2024 sales"

2

Use Business Metrics

Reference common metrics like MRR, ARR, churn rate, and LTV in your queries

3

Include Context

Add relevant segmentation (e.g., by plan type, region, or customer segment)

Query Templates

Growth Analysis

"Show [metric] growth [timeframe] by [segment]"

Customer Behavior

"Find customers who [action] in [timeframe] with [condition]"

Comparative Analysis

"Compare [metric] between [segment1] and [segment2] in [timeframe]"

Automating Insights

Hunchbank allows you to save and schedule your most important queries for regular monitoring.

Saved Queries

Save frequently used queries for quick access and consistency

Scheduled Reports

Set up automated reports to run at regular intervals

Smart Alerts

Get notified when metrics cross specified thresholds