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How to Connect Your SaaS Data to an AI Intelligence Layer

A step-by-step guide to connecting your SaaS business data sources to an AI intelligence layer for automated insights.

Before You Begin

Before connecting your data, you'll need:

  • Admin access to your data sources
  • A clear idea of which metrics matter most
  • About 30 minutes for initial setup
  • Step 1: Identify Your Core Data Sources

    Most SaaS businesses have data in these categories:

    Revenue Data

  • **Stripe** - Subscriptions, payments, invoices
  • **Paddle** - Payments, taxes, subscriptions
  • **Chargebee** - Billing, subscriptions
  • Product Data

  • **Mixpanel** - User events, funnels
  • **Amplitude** - Product analytics
  • **Segment** - Event tracking
  • Customer Data

  • **Salesforce** - CRM, deals, contacts
  • **HubSpot** - Marketing, sales, service
  • **Intercom** - Support, conversations
  • Marketing Data

  • **Google Analytics** - Website traffic
  • **Google Ads** - Paid search
  • **Facebook Ads** - Social advertising
  • Step 2: Prioritize Connections

    Start with the data sources that contain your most important metrics:

    For early-stage SaaS:

    1. Payment processor (Stripe/Paddle)

    2. Analytics (Mixpanel/Amplitude)

    3. CRM (if you have one)

    For growth-stage SaaS:

    1. Payment processor

    2. CRM

    3. Marketing platforms

    4. Product analytics

    Step 3: Connect Your Data

    Most integrations are one-click OAuth connections:

    1. Select the integration from the dashboard

    2. Click "Connect"

    3. Authorize access in the popup

    4. Select which data to sync

    Tips for Smooth Connections

  • **Use admin credentials** - Some integrations need admin-level access
  • **Start with read-only** - You don't need write access for analytics
  • **Check data freshness** - Most sync every 1-24 hours
  • Step 4: Configure Your Metrics

    Once connected, configure which metrics you want to track:

    Revenue Metrics

  • MRR (Monthly Recurring Revenue)
  • ARR (Annual Recurring Revenue)
  • Net Revenue Retention
  • Expansion Revenue
  • Churn Rate
  • Product Metrics

  • Active Users (DAU/WAU/MAU)
  • Feature Adoption
  • Session Duration
  • Conversion Rates
  • Customer Metrics

  • Customer Acquisition Cost (CAC)
  • Lifetime Value (LTV)
  • LTV:CAC Ratio
  • Time to Value
  • Step 5: Set Up Alerts

    Configure alerts for significant changes:

  • Revenue drops > 10%
  • Churn spikes
  • Unusual activity patterns
  • Metric threshold breaches
  • Step 6: Configure Reports

    Set up automated reports:

  • **Daily**: Key metrics summary (optional)
  • **Weekly**: Comprehensive business review
  • **Monthly**: Trends and strategic insights
  • Troubleshooting Common Issues

    "No data showing"

  • Check that the integration has completed syncing
  • Verify you have data in the source system
  • Ensure you selected the right date range
  • "Metrics look wrong"

  • Verify the metric definitions match your expectations
  • Check for duplicate data sources
  • Review any filters that might be applied
  • "Integration disconnected"

  • Re-authorize the connection
  • Check if API credentials have changed
  • Verify the source system is accessible
  • Next Steps

    Once your data is connected:

    1. **Review initial insights** - Check the automatic analysis of your data

    2. **Ask questions** - Use natural language to explore your data

    3. **Share with your team** - Invite team members and configure their preferences

    4. **Iterate** - Add more data sources as needed

    Your AI intelligence layer will get smarter over time as it learns the patterns in your business.