Data Panda brings your Paddle billing and subscription data together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.
Paddle is a merchant of record built for SaaS and app businesses, meaning it becomes the legal seller of your product and takes on the sales-tax, VAT, fraud and billing-support obligations that go with that role. It covers smart payment routing, localised checkouts, multi-product subscriptions, failed-payment recovery and global tax remittance. The company reports more than six thousand customers and around three hundred million dollars of investor funding on its site.
The point of pulling Paddle into a warehouse is that the merchant-of-record model is powerful for the seller and opaque for the data team. The cash hits the bank as a net payout, tax sits in Paddle's ledger, and churn, MRR, expansion and downgrades live in a reporting view that finance cannot cross-check against the general ledger. In a warehouse, the Paddle subscription, the Paddle transaction and the Paddle adjustment line up with the CRM account, the invoice and the support ticket, and MRR, tax and cash finally read the same story.
MRR, churn and expansion joined to the CRM account, the cohort and the product mix.
Let a Paddle event drive the right action outside billing.
Score, classify and forecast on the subscription and transaction stream.
Internal tools on Paddle data that keep getting rebuilt in spreadsheets.
A list of concrete reports, automations and AI features we have built on Paddle data. Pick the one that matches your situation.
Does the Paddle payout match the bank and the ledger?
Per-period reconciliation of gross revenue, fees, tax and refunds against the Paddle payout amount and the bank statement line. The gap that finance used to hunt for on an Excel sheet is already highlighted against the adjustment and the line item that caused it.
Which subscription changes are growing MRR?
MRR bridge broken down into new, expansion, contraction, reactivation and churn, each with the deal, the product and the customer behind it. The quarterly review answers which plan changes and which cohorts are doing the lifting, instead of arguing about one top-line number.
Where is the tax exposure in this mix?
Tax remitted per country, product and line item, so finance sees which geographies and product mixes drive the exposure. The merchant-of-record view from Paddle stops being a black box and becomes auditable against the ledger.
The Paddle payout broken down to the line item, next to the bank entry and the general ledger. Month-end reconciliation stops depending on the Paddle dashboard export and becomes a live warehouse view finance audits against.
For account owners, the Paddle subscription state on every CRM record: active, paused, downgraded, cancelled, trial. Renewal conversations are prepared against the current plan and the billing trajectory, not against the deal the rep last touched.
Failed-payment retries, churn events and customer-support tickets on one timeline. Retention campaigns run on the subscription signal that predicts cancel, instead of a weekly CSV pulled from three tools.
Active, paused, downgraded and cancelled Paddle subscriptions appear as fields and timeline events on the matched HubSpot account and contact. Sales and CS see the billing status on the record instead of opening the Paddle dashboard for every review.
Paddle transactions and adjustments post against the Salesforce account on customer email and external id, so closed-won revenue in the CRM reads the amount that landed on the bank rather than the deal amount. Commission runs against paid, not booked.
Gross revenue, fees, tax and refunds from Paddle reconcile against the Exact Online general ledger on a per-payout basis. Finance closes the month against one reconciled view instead of a Paddle export and an Exact export side by side.
Failed payments, downgrades and cancel events from Paddle feed Klaviyo segments in near real time. Retention emails run on the billing state that just changed, not on a static list exported last week, and customers are removed from win-back flows the moment they reactivate.
These are the 8 tables we currently pull from Paddle into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your Paddle data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
Customers, businesses, addresses, subscriptions, transactions, transaction line items, products and adjustments in the default sync. The full list sits in the data-model section on this page, and additional endpoints can be added on request.
Paddle is the legal seller and remits tax on your behalf, but your finance and commercial teams still need to report on the underlying revenue. The warehouse view keeps Paddle's tax and fee logic intact and surfaces the gross, net, refunds and payout numbers that map back to your general ledger.
We review your Paddle setup and the systems around it. Together we pick the first thing worth building.