Connector Database / Intercom
Analyze your Intercom data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Intercom data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Intercom data—as fast as you can ask them.
Build dashboards and data visualizations
Transform your conversation into dynamic data visualizations on an intuitive data canvas.
Integrate all your data
Unify your Intercom data with DuckDB-powered data warehouse including Quickbooks, Google Sheets, Stripe and MongoDB.
Available Intercom Data
Extracts Intercom workspace data including contacts (customers/leads), companies, conversations and message parts, tags, segments, teams, admins, and attribute metadata. This enables analysis of customer support performance and response times, conversation volume and trends, customer and account segmentation, and enrichment via standardized contact/company attributes.
Contact
Represents people/leads in your Intercom workspace, enabling segmentation, cohort analysis, lifecycle tracking, and engagement measurement across support and marketing touchpoints.
Company
Represents customer accounts/organizations with standard and custom attributes, supporting account segmentation, health monitoring, and rollups of conversation volume and engagement at the account level.
Conversation
Represents customer support threads and their message parts, enabling analysis of volume, response and resolution times, SLA adherence, and tagging/topic trends.
Segment
Saved dynamic cohorts of contacts or companies used for targeted analysis and reporting, including size and performance comparisons across customer groups.
Tag
Labels applied to conversations, contacts, or companies to categorize topics and workflows, enabling trend analysis, routing insights, and reporting by tag.
Team
Represents support or sales groups used for routing and staffing, enabling workload, backlog, and performance breakdowns by team.
Admin
Represents individual agents/users who handle conversations, enabling agent-level performance metrics such as response times, resolution rates, and workload.
Authentication Required
Uses an Intercom access token from your Intercom app (Bearer token) to authenticate
Getting started with
Intercom Analytics & Business Intelligence
Connect your Intercom data
Connect to Intercom once and automatically sync data to your centralized data warehouse for real-time reporting and analytics.
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.
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?
Intercom 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.
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.
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