A no-code, production-grade connector that exposes the full HubSpot object graph to Power BI — Contacts, Companies, Deals, Tickets, Marketing events and custom objects — without CSV exports, brittle middleware, or API-throttling workarounds.
Replaces CSV exports, third-party iPaaS recipes, and one-off scripts with a supported Power BI ↔ HubSpot connector — engineered for stable production operation rather than a short-lived setup that breaks at the next API change.
Designed for organizations where HubSpot powers the funnel and Power BI powers the company dashboard — pipeline coverage, MQL-to-revenue attribution, campaign ROI, and retention analytics that the business reads every week.
New custom properties, pipelines, and object types appear in HubSpot constantly. The connector picks them up without schema drift breaking Power BI models, so reporting keeps pace with go-to-market changes instead of trailing them.
Avoids the accumulated cost of third-party ETL seats, custom Zap chains, and maintenance tickets. A supported connector replaces pipeline bricolage and the people-hours required to keep each moving piece alive.
Respects HubSpot scopes, access tokens, and property-level permissions. Analytical access stays auditable and consistent with the source — no sprawl of replicated CRM exports living on analyst laptops.
Marketing ops, RevOps, and BI can own the connection end-to-end — object selection, property mapping, refresh cadence — without waiting on a data engineering sprint to add a new HubSpot property to the warehouse.
Teams owning the revenue funnel end-to-end — pipeline coverage, attribution, campaign ROI — where HubSpot is the operational source and Power BI is where the exec dashboard lives.
Teams stitching HubSpot pipeline and bookings data into financial reporting — where forecasting, pacing, and churn analysis depend on clean, reconciled CRM data alongside GL and billing.
Central data and platform teams building governed access layers, semantic models, and reusable metrics spanning HubSpot and the rest of the operational stack.
Multi-hub deployments with custom objects, multi-currency pipelines, complex lifecycle models, and governance requirements that rule out spreadsheet exports and lightweight DIY connectors.
Context. A mid-market SaaS company running HubSpot for marketing and sales, with Power BI adopted by the finance team for board-level pipeline and bookings reporting.
Challenge. Weekly CSV exports and a third-party iPaaS pipeline drifted out of sync with HubSpot as sales added new stages and custom properties — board slides no longer matched the CRM by Wednesday.
Outcome with MetricaHubSpot pipeline and bookings data became consistently available in Power BI with predictable refresh behavior. Board reporting and the CRM reconciled on the same numbers, every week.
Context. A global marketing organization running HubSpot across regions, with email, forms, and web-event volumes pushing tens of millions of rows a month into a shared Power BI attribution model.
Challenge. Full reloads caused long refresh times, unreliable dashboards, and regular collisions with HubSpot API rate limits — attribution reports were late or incomplete most mornings.
Outcome with MetricaIncremental access kept Power BI models current without hitting API limits. Refresh windows collapsed, morning dashboards stopped drifting, and marketing leadership regained trust in the numbers.
Context. A large B2B organization running Marketing, Sales, and Service Hubs with extensive custom objects — feeding several parallel integrations into Power BI for different departments.
Challenge. Each integration handled custom properties and lifecycle stages differently, so lifecycle metrics never reconciled between marketing, sales, and customer success dashboards.
Outcome with MetricaThe connector became the single access layer for HubSpot analytics in Power BI. Lifecycle and retention metrics reconciled across teams, and future HubSpot changes could be absorbed centrally without another round of pipeline rework.
We stopped wiring HubSpot together with a middleware of exports and Zaps. The connector exposes the full object graph to Power BI in one place, and our pipeline reporting finally matches the CRM. RevOps got its mornings back.
Setup, OAuth configuration, refresh scheduling, and a full reference of supported HubSpot objects — Contacts, Deals, Tickets, Marketing events, Custom objects.
Open docs →Direct access to engineers who build the connector — for operational questions, environment-specific issues, and production escalations.
Contact support →Long-form articles on HubSpot analytics, Power BI data modeling, and operating revenue reporting at scale — updated weekly by the Metrica team.
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