Connector Database / Pipedrive

Analyze your Pipedrive data with AI

Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Pipedrive data with AI-powered assistant.

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Pipedrive logo
01

Start with a question

Generate automated reports and business intelligence insights from your Pipedrive data—as fast as you can ask them.

Start with a question
Build visualizations and charts
02

Build dashboards and data visualizations

Transform your conversation into dynamic data visualizations on an intuitive data canvas.

03

Integrate all your data

Unify your Pipedrive data with DuckDB-powered data warehouse including PostgreSQL, MongoDB and Zendesk.

Integrate all your data

Available Pipedrive Data

Pipedrive provides comprehensive CRM data through multiple endpoints. Below are the key objects available for sales analytics and business intelligence.

Activity

Tasks, calls, and meetings linked to deals and contacts; used to measure rep productivity, touch patterns, and engagement cadence.

Currency

Reference list of supported currencies; enables multi-currency normalization in revenue reporting.

Deal

Represents sales opportunities; core to revenue analytics such as pipeline coverage, win rate, forecast accuracy, and sales cycle time.

Deal Product (Line Item)

Associates products with deals including quantities and prices; supports product mix, revenue by SKU, and unit economics reporting.

Deal Stage Movement

Time-stamped stage-change events for deals; enables funnel conversion, stage duration/aging, and velocity analyses.

Note

Freeform notes attached to deals, persons, or organizations; useful for note count metrics and qualitative insights.

Organization

Accounts/companies associated with persons and deals; supports account segmentation, account-level pipeline, and revenue by account.

Person

Individual contacts linked to deals and activities; enables lead tracking, segmentation, and engagement analysis.

Pipeline

Sales process containers that group deals; enables segmentation and forecasting by pipeline.

Product

Catalog of sellable items used in deals; dimension for revenue by product, pricing analysis, and product performance.

Stage

Discrete steps within a pipeline; key dimension for stage-level conversion, counts, and aging analysis.

User

Sales reps and owners; dimension for attributing activity and deal performance, quota tracking, and benchmarking.

Getting started with Pipedrive Analytics & Business Intelligence

01

Connect your Pipedrive data

Connect to Pipedrive once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.

02

Build business intelligence models

Create automated reports, dashboards, and data visualizations with customizable business logic and AI-powered insights for consistent analytics across your organization.

03

Generate reports and insights

Create interactive dashboards, automated reports, and data visualizations with AI-powered business intelligence. Share live analytics and scheduled reporting with your team.

Want to see how easy it is to get started?

Pipedrive usersDefinite

People love Definite because it lets you focus on what matters. Setting up your own data infrastructure doesn't make your beer taste better. Skip the tedium and start at analytics.

I was leading the efforts of setting up a business intelligence function. I was surprised how complex this all was to do even today. It's something that every tech company would need at some point but it hasn't been simplified. You need a whole team focused on building a data warehouse, setting up the right pipelines, and then integrating a BI tool on top.Definite wasn't only the answer to this problem, it tackled the next problem I knew I'd have as soon as the BI tool was ready — how do we get non-technical teams and people to learn and utilise such a tool.

Aditya Sarkar

Co-Founder at Lean

A data platform built for startups

Our analytics before Definite consisted of dozens of Excel sheets that took hours to update. Manual updates led to errors. Everyone questioned the accuracy of the numbers. Many people just stopped looking at the reports.After Definite, everything ran like clockwork.We immediately saved thousands of dollars per month in the time spent updating reports and have built strategies (e.g. improved ROI on ad spend, inventory management, etc.) on the data that will yield millions to our bottom line.

Ryan

CEO at a 9-figure E-comm Company

Immediate ROI

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