HubSpot integration

HubSpot in Polar: marketing and pipeline, next to real revenue.

Connect HubSpot over its MCP and API and Polar ingests your contacts, deals, campaigns and pipeline, blended with Shopify orders and your ad spend. Marketing-sourced pipeline and DTC revenue finally sit together and attributed, and Polar can push its clean, blended metrics back into HubSpot for your team.

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Google Sheets → Polar

What you can bring in

Campaigns vs revenue
"Which campaigns actually made money?"
HubSpot campaigns blended with Shopify revenue and ad spend, attributed.
campaigns -> revenue
Marketing-sourced pipeline
"How much pipeline did marketing drive?"
Deals and pipeline ingested and read against the spend that created them.
sourced pipeline
One P&L
"Pipeline and DTC live apart."
Marketing, pipeline and DTC revenue on one governed P&L.
one P&L
Contacts & lifecycle
"Where do contacts convert?"
Contact and lifecycle data blended with orders, so funnels tie to revenue.
lifecycle + orders
Push back to HubSpot
"Can Polar write to HubSpot?"
Push clean, attributed metrics back into HubSpot for marketing and sales.
metrics -> HubSpot
Query over MCP
"Can an AI reason on it?"
Available over the HubSpot MCP and the Polar MCP together, sourced.
two MCPs

HubSpot reports marketing. Polar ties it to revenue.

HubSpot shows campaigns, contacts and deals on its own model, apart from your Shopify orders, ad spend and margin. So the question that matters, did this marketing actually make money, stays a guess. Polar answers it.

HubSpot on its own

  • Campaigns and pipeline reported apart from commerce.
  • No blend with Shopify revenue, ad spend or margin.
  • Attribution stops inside HubSpot's model.
  • Reporting across marketing and DTC is manual.

HubSpot with Polar

  • Contacts, deals and campaigns ingested into the semantic layer.
  • Blended with Shopify orders, ad spend and real margin.
  • Campaigns and pipeline attributed against revenue.
  • Clean metrics pushed back into HubSpot.
Setup Guide

Bring HubSpot into Polar.

Polar

A Polar account with Shopify

A Polar account with Shopify connected. This connector plugs in right next to your stack.

Connect your data →

A HubSpot account

Access to the contacts, deals and campaign objects you want Polar to ingest over the HubSpot MCP or API.

Open HubSpot →

The HubSpot MCP

HubSpot exposes an MCP, so Polar reads its data and can write back, blended with your commerce metrics.

1

Connect over MCP or API ~5 min

Contacts, deals, campaigns.
Connect HubSpot's MCP or API. Polar ingests contacts, deals, campaigns and pipeline into your semantic layer.
2

Blend with commerce automatic

Marketing meets money.
HubSpot data blends with Shopify orders and ad spend, so campaigns and pipeline read against real revenue and margin.
3

Write back too optional

Metrics into HubSpot.
Polar can push clean, blended, attributed metrics back into HubSpot, so marketing and sales work from the same numbers.
Get started

Marketing pipeline, next to real revenue.

Ingest HubSpot over its MCP and API and blend contacts, deals and campaigns with your commerce data.

The Gap

The connector is only half of it.

Once your HubSpot contacts, deals and campaigns are clean and attributed inside Polar, you can use them wherever you already work. Ask Polar in plain language, pull them live through the Polar MCP, or schedule a snapshot into the report your team reads every morning.

HubSpot

contacts, deals, campaigns
Polar

Polar

clean, blended, attributed

Ask Polar

Polar MCP

Scheduled reports

Featured Use Case

Marketing, measured in revenue.

Marketing, measured in revenue

HubSpot is great at showing you marketing activity, opens, clicks, MQLs, pipeline, but it cannot tell you whether any of it made money, because it never sees your Shopify orders, your ad spend or your margin. Polar ingests HubSpot's contacts, deals and campaigns over its MCP and API and blends them into the same semantic layer as your commerce data. Now a campaign is not just a click-through rate; it is revenue and contribution margin. Pipeline is not just a number; it is sourced against the spend that created it. And because HubSpot exposes an MCP and Polar has its own, an assistant can reason across both, then push the clean, attributed numbers back into HubSpot so marketing and sales stop arguing about whose figure is right.

What makes it real

Ingested and blended. Campaigns, deals and contacts resolve into the semantic layer next to commerce data.

Attributed to revenue. Marketing reads against Shopify orders, ad spend and margin, not vanity metrics.

Ask Polar, in plain language. “Which HubSpot campaigns drove the most attributed revenue this quarter?” No SQL, no export.

See how the blended view works
Other Use Cases

Other use cases

Your Prompt Library

HubSpot in plain language

A scannable wall of sample prompts for your HubSpot data inside Polar. Ask Polar, or Claude with the Polar MCP connected.
See it
Show HubSpot campaigns next to revenue this month.
Break down marketing-sourced pipeline by campaign.
List deals by stage and value.
Analyze it
Which HubSpot campaigns drove the most attributed revenue?
Show blended CAC including marketing-sourced deals.
Compare contribution margin by acquisition source.
Decide from it
Which campaigns deserve more budget based on revenue, not clicks?
Where is pipeline most efficient on a blended basis?
Summarize how marketing performance moved since last month.
Get started · connect once · both ways

Marketing, measured in revenue.

Ingest HubSpot over its MCP, blend campaigns and pipeline with your commerce data, and push clean, attributed metrics back to HubSpot.

Phase 1 ~5 minConnect HubSpotConnect the HubSpot MCP or API to ingest your objects.
Phase 2 automaticBlend with commerceCampaigns and pipeline read against Shopify revenue and spend.
Phase 3 optionalWrite backPush clean, attributed metrics into HubSpot.