Custom engineered Sales & Lead Generation integration

PandaDoc & HubSpot integration

Custom engineered for your business by SpotDev's accredited developers

Connect PandaDoc to HubSpot so proposals are generated from deal line items, and document events (sent, viewed, completed, declined) move the HubSpot deal stage and timestamp the record, without anyone retyping pricing.

  • A few weeks, scoped up front typical turnaround
  • OAuth 2.0

Why connect PandaDoc to HubSpot

Sales teams that quote in PandaDoc and forecast in HubSpot end up maintaining pricing twice, and the deal stage lags behind what the customer has actually signed.

  • Line items edited in a PandaDoc quote do not update the HubSpot deal amount, so forecasts are wrong.
  • Reps move deals to Closed Won by hand after a signature, often days later.
  • Approval rules and discount limits live in a spreadsheet rather than in the document flow.
  • Reporting on time from proposal sent to signed is impossible without the events in HubSpot.

What you can do with PandaDoc and HubSpot

The build uses PandaDoc's REST API with OAuth 2.0 and its webhook events.

  • A HubSpot deal reaching the proposal stage creates a PandaDoc document from a template, with the pricing table filled from deal line items and products.
  • PandaDoc webhooks (document_state_changed, recipient_completed, document_updated) update the deal stage and stamp sent, viewed and signed dates on the deal.
  • Quote changes made in PandaDoc are written back to the HubSpot deal amount and line items using PandaDoc's quote update endpoint.
  • Signed PDFs are attached to the HubSpot deal when the document_completed_pdf_ready event fires.

How the PandaDoc & HubSpot integration works

Two-way sync
Sync direction between PandaDoc and HubSpot
Real time sync
How often data updates flow
OAuth 2.0
Secure authentication method
Documents, Quotes, Deals, Contacts
Records kept in sync
Sales Hub
HubSpot hubs supported
A few weeks, scoped up front
Typical time to deploy

Typical setup

  1. Scope systems and data access
  2. Map fields and ownership rules
  3. Dry run against real data
  4. Go live with monitoring

Integration Impact Analysis

With Integration

  • Streamlined operationsAutomated workflows replace manual processes
  • Single source of truthConsistent data across all revenue teams

Without Integration

  • Manual processesTeams managing tools instead of revenue
  • Data silosCritical insights trapped in silos

PandaDoc & HubSpot integration: FAQs

Does PandaDoc have an API HubSpot can use?
Yes. PandaDoc offers a REST API with resource-based URLs, authenticated in production through OAuth 2.0 (an API key is available for sandbox testing). It supports creating documents from templates, working with pricing tables and quotes, and webhook subscriptions for events such as document_state_changed, recipient_completed, document_updated and document_completed_pdf_ready.
HubSpot has a PandaDoc app already. When is a custom integration worth it?
PandaDoc's own HubSpot app covers document creation from HubSpot records, CPQ, e-signature and two-way data sync, and lists around 18,000 installs. Custom work is for what the app does not do for your process: your approval logic, pricing rules that depend on other systems, deal stage rules beyond the standard mapping, or reporting built from the raw events. We will say at scoping if the app is enough.
What data can sync between PandaDoc and HubSpot?
Documents, quotes, deals and contacts. In practice that means document status and dates to the deal, pricing table lines to and from deal line items, recipients matched to HubSpot contacts, and the signed PDF stored against the deal.
How long does a PandaDoc HubSpot integration take, and what does it cost?
A few weeks, scoped up front. Cost depends on how much of the quote and approval logic you need built, so we give a fixed quote after a scoping call.

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