Connector Database / Outreach

Analyze your Outreach data with AI

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

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Outreach logo
01

Start with a question

Generate automated reports and business intelligence insights from your Outreach 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 Outreach data with DuckDB-powered data warehouse including Stripe, Salesforce, Google Sheets and S3.

Integrate all your data

Available Outreach Data

Extracts Outreach sales engagement data including accounts, prospects, opportunities, sequences and steps, call and email activity, tasks, users, teams, and related configuration. Enables analysis of pipeline health, rep productivity, sequence effectiveness, email performance, and overall engagement activity across your sales org.

Deal

Represents sales opportunities in the pipeline and supports analysis of stage conversion, win rates, deal velocity, and revenue forecasting.

Person

Represents individual prospects/contacts and enables segmentation, funnel progression, sequence enrollment tracking, and engagement scoring by persona.

Company

Represents accounts/companies tied to prospects and deals and enables account-based engagement analysis, multi-threading coverage, and rollup reporting.

Sequence

Represents outreach cadences with steps and templates and enables measurement of sequence effectiveness, step-level conversion, reply rates, and optimization.

Email

Captures outbound mailings and their performance to analyze send volume, deliverability, open/click/reply rates, and content/category impact by sender or segment.

Call

Represents logged call activity to measure connect rates, outcomes by disposition/purpose, talk time, and the call share of overall activity.

Task

Represents planned sales actions across channels and supports analysis of workload, completion SLAs, overdue rates, and follow-up effectiveness.

Engagement Event

Unified timeline of interactions (emails, opens/clicks, calls, task actions) enabling journey analysis, multi-touch attribution, and sequence performance context.

Sales Rep

Represents users and their team affiliations to analyze rep productivity, activity mix, attainment, and performance rollups by team.

Authentication Required

Connects securely to Outreach using OAuth 2.0 with client ID/secret, redirect URI, and a refresh token

Getting started with Outreach Analytics & Business Intelligence

01

Connect your Outreach data

Connect to Outreach 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?

Outreach 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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