Your tags and custom fields, finally queryable.
Every Stripe and Paddle account is full of metadata that most analytics tools ignore. Custom fields, customer tags, subscription attributes, coupon codes, acquisition sources - this is the layer where the real story of your business lives. Metadata Analytics makes all of it queryable inside Chartsy, without any additional setup.
When you look at your churn rate, you see a number. When you look at churn rate broken down by acquisition source, plan type, company size, or any other attribute you've been tracking - you see why it's happening and where.
Most SaaS founders are already tagging their customers and subscriptions with useful business context. They know which customers came through referral versus paid ads, which are on annual versus monthly plans, which are in enterprise versus SMB segments. That information lives in Stripe or Paddle metadata fields right now. Metadata Analytics makes it usable for real analysis inside Chartsy - without exporting to a spreadsheet or asking an engineer to write a query.
Metadata Analytics doesn't require you to restructure anything or add new tracking. It reads the metadata that already exists in your Stripe or Paddle account - customer metadata fields, subscription metadata, invoice attributes - and indexes it automatically when your account syncs.
Once indexed, any metadata field becomes a filter and group-by dimension inside Chartsy. Ask ChartsyAI 'Show me MRR by acquisition source' or 'What is churn by company size?' and it uses your actual metadata to answer. The segments you've been maintaining in Stripe or Paddle become first-class analytical dimensions in Chartsy.
Metadata Analytics unlocks a specific category of questions that standard SaaS dashboards can't answer - because they require knowing something about your customers beyond just their payment behavior. Which acquisition channel has the highest LTV? Do customers who used a discount code at signup churn faster? Are enterprise customers expanding more than SMB customers in the same cohort?
These are the questions that separate a business that understands its growth from one that's guessing. And the data to answer them is usually already there - it just hasn't been connected to the analytics layer until now.
Link your account via read-only OAuth. Chartsy automatically detects and indexes all metadata fields present in your customer, subscription, and invoice records.
View all indexed metadata fields in your dashboard - including which fields have data across your customer base and which values appear most often.
Use metadata fields as filters and dimensions in any ChartsyAI query. Ask 'Show me churn by acquisition source' or 'MRR by plan type' - it uses your actual tags.
Pin any metadata-segmented report to your dashboard. It updates automatically with every sync so your key segments are always current.
Metadata Analytics is most valuable for SaaS founders and growth teams who've been tagging their customers and subscriptions with business context in Stripe or Paddle - and want to finally use that data for real analysis rather than exporting it to a spreadsheet.