You've been tagging your customers and subscriptions for years. Now those tags are first-class dimensions in Chartsy. Metadata Analytics is live for all Stripe and Paddle users.
When we talk to SaaS founders about their analytics, one pattern comes up constantly: they know there's something meaningful hiding in their customer metadata, but they have no easy way to surface it.
They've been tagging customers with acquisition source, company size, product line, or whatever dimensions matter to their business - but their analytics tools treat all customers as identical. The metadata sits there, unused, while founders make decisions without the full picture.
Metadata Analytics automatically detects and indexes every metadata field in your Stripe or Paddle account - customer metadata, subscription metadata, invoice metadata. Once indexed, any field becomes a filter and group-by dimension inside Chartsy.
You can now ask questions like 'What's the churn rate for customers tagged as enterprise vs. SMB?' or 'How does LTV differ between customers who came through referral vs. paid acquisition?' - and get the answer in seconds, using the tags you already have.
No new instrumentation. No additional setup. Your existing metadata, finally usable.
Metadata Analytics respects the fact that no two SaaS businesses segment their customers the same way. Chartsy doesn't impose a segment structure on you - it reads whatever structure you've already built in your data and makes it queryable.
You can combine metadata filters with standard metrics filters, save metadata-based reports to your dashboard, and track how each segment performs over time. If your tags change, Chartsy detects the new values automatically.
Metadata Analytics is available today for all Chartsy users.
Head to your Chartsy dashboard, open any report or start an AI query, and you'll find your metadata dimensions available as filter options.