← Integrations · Payments & billing

Paddle integration for AIOProductOS

What syncs in

  • Customers and their plans
  • Subscription status and billing cycle
  • Monthly recurring revenue per account

What it unlocks

  • Rank feature requests by revenue at stake, not vote count
  • See which paying accounts a roadmap item touches
  • Put at-risk MRR beside the backlog item that retains it

Paddle keeps revenue and tax compliance in one place. The backlog usually lives three tools away. The connector matches Paddle customers to accounts and lands plan and MRR on the same record as their feedback and the work in flight.

Scoring frameworks then read real money. RICE, WSJF and Value-Effort weigh the revenue behind a request, and a task assigned to an account carries that account's plan onto the board.

Connectors are included, no per-connector fee. See all 100+ on the connectors page.

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Questions Paddle can't answer alone

  • Q

    Which paying accounts asked for this feature?

  • Q

    How much MRR is exposed to this bug?

  • Q

    Which roadmap bets protect the most revenue?

On AIOProductOS each of these is a query against one record — not a cross-tool hunt. Ask in plain language with AIOInsights (⌘I) and get the answer with citations to your data.

FAQ

Paddle integration

What does the Paddle integration sync?

The Paddle integration brings your customers, plans, subscription status and recurring revenue onto the matching account in AIOProductOS. It reads billing data. It never moves money and never changes your Paddle setup.

Does Paddle being a merchant of record matter here?

For prioritization, what matters is that plan and revenue land on the account. Paddle handling tax and VAT means the figure reaching the spine is already net, so the number your roadmap ranks on needs no adjustment.

More integrations

Bring your stack onto one spine.

Paddle and 100+ more connectors — included, no per-connector fee. Flat plans from $199/mo, every module included. Every plan starts with a 14-day onboarding runway on your own data.