Integration / BI & Sheets
In short
Bitrix24 has a built-in BI connector for Microsoft Power BI and Google Looker Studio, plus BI Builder (based on Apache Superset) inside Bitrix24. None of it is on the Free plan, and the number of exportable rows depends on your plan. Google Sheets works through a third-party add-on. For large histories, blended data, or near-real-time dashboards, a small data pipeline is more reliable.
Standard CRM reports answer standard questions. The questions management actually asks — response time by source, conversion by agent, revenue against target, pipeline ageing — usually need data shaped differently, joined with other systems, or presented where leadership already looks: Power BI, Looker Studio, or a shared Google Sheet.
Bitrix24 gives you more built-in routes for this than most CRMs. The trick is knowing which route fits your data volume and refresh needs before you build twenty charts on the wrong foundation.
Checked against the Bitrix24 Market and vendor documentation on 6 October 2026. Sources are listed at the end.
Bitrix24's own BI tool, built on Apache Superset and running on Bitrix24's infrastructure.
Best for: CRM-only dashboards for teams already living in Bitrix24.
Bitrix24's built-in data source for Microsoft Power BI (template or Advanced Editor query) and Google Looker Studio.
Best for: Organisations standardised on Power BI or Looker Studio.
Third-party 'Bitrix24 Integration' add-on in the Google Workspace Marketplace.
Best for: Quick shared reports, pivot tables, and ad-hoc analysis.
Scheduled and event-driven sync from the Bitrix24 REST API into a database or warehouse your BI tool reads.
Best for: Multi-year history, multiple data sources, or leadership dashboards that must be right.
Leads & deals
Bitrix24 → BI
With stage history, source, owner, and created/closed dates — the base for conversion and velocity metrics.
Activities & calls
Bitrix24 → BI
First-response time and activity per agent; needs timestamps, not just counts.
Products on deals
Bitrix24 → BI
Revenue by product, category, or region.
Targets
Sheets → BI
Monthly targets per team or person, joined to actuals.
Finance / ERP
Other system → BI
Invoiced and collected revenue next to CRM pipeline value.
Marketing spend
Ads → BI
Cost per lead and per won deal by source and campaign.
| Data | Direction | What good looks like |
|---|---|---|
| Leads & deals | Bitrix24 → BI | With stage history, source, owner, and created/closed dates — the base for conversion and velocity metrics. |
| Activities & calls | Bitrix24 → BI | First-response time and activity per agent; needs timestamps, not just counts. |
| Products on deals | Bitrix24 → BI | Revenue by product, category, or region. |
| Targets | Sheets → BI | Monthly targets per team or person, joined to actuals. |
| Finance / ERP | Other system → BI | Invoiced and collected revenue next to CRM pipeline value. |
| Marketing spend | Ads → BI | Cost per lead and per won deal by source and campaign. |
Two or more of these? Get a written recommendation before you buy an app.
Get a free reporting planCustom development
We build reporting pipelines on the Bitrix24 REST API so your BI tool reads clean, complete, well-defined data — and we design the dashboards on top.
List methods (crm.item.list and friends) paged 50 records at a time and combined with batch calls, plus stage-history and activity methods for velocity and response-time metrics.
event.bind subscriptions so new and changed deals update the warehouse within minutes instead of waiting for a nightly extract.
PostgreSQL, BigQuery, or your existing database as the reporting layer; Power BI, Looker Studio, or BI Builder on top.
Two-way where it makes sense — e.g. targets maintained in a sheet and read into dashboards.
Which decisions the dashboards support, and the exact definition of every metric.
Fields, stages, duplicates, and dates — fix the CRM where it would make reports wrong.
Initial backfill, then incremental updates via events; reporting tables shaped for the BI tool.
In Power BI, Looker Studio, or BI Builder — management, team, and agent views.
Numbers reconciled against the CRM and finance before anyone relies on them.
Documentation, refresh alerts, and training for whoever owns reporting.
Typical effort: Connecting the built-in BI connector and a few dashboards is typically days of work; a pipeline with full history and blended sources usually takes two to four weeks. The integration cost guide explains what moves the number; you get a fixed price after the free review.
Tell us which numbers matter and where you want to see them. We'll recommend connector, add-on, or pipeline — and define the metrics before building anything.
Yes. Bitrix24's built-in BI connector is a data source for Microsoft Power BI — you can use a template with the BI connector fields or add it with a query in Power BI's Advanced Editor. It isn't available on the Free plan, and the maximum rows depend on your plan.
Yes, through the same BI connector, which Bitrix24 documents as a data source for Looker Studio.
For one-off exports, use list exports or BI Builder's XLSX/CSV export. For scheduled exports, a third-party Google Sheets add-on can pull leads, deals, contacts, and companies with custom fields on a schedule. For two-way or large datasets, use a custom integration.
Bitrix24's built-in business intelligence tool, based on Apache Superset, for building dashboards from Bitrix24 data inside your account.
Usually row limits, different date fields, merged or deleted records, or custom fields exported as IDs. A defined data model and reconciliation step fixes it.
Marketplace apps change often; verified 6 October 2026.
Tell us which numbers matter and where you want to see them. We'll recommend connector, add-on, or pipeline — and define the metrics before building anything.