Connector Database / SalesForce Marketing Cloud

Analyze your SalesForce Marketing Cloud data with AI

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

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01

Start with a question

Generate automated reports and business intelligence insights from your SalesForce Marketing Cloud 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.

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Integrate all your data

Unify your SalesForce Marketing Cloud data with DuckDB-powered data warehouse including MongoDB, Google Sheets and Quickbooks.

Integrate all your data

Available SalesForce Marketing Cloud Data

Extracts Salesforce Marketing Cloud (ExactTarget) data across email assets, subscriber lists, sends, and engagement events. It provides campaign metadata, email and content assets, data extension schemas and rows, subscriber and list memberships, send jobs, and detailed engagement events (sends, opens, clicks, bounces, unsubscribes). This enables analysis of audience growth and list health, content and asset inventory, mailing activity, and end-to-end email performance and engagement over time.

Subscriber

Represents individual contacts in All Subscribers with attributes and subscription status; enables audience growth, retention/churn, deliverability, and segmentation analysis.

List

Represents subscriber lists and their memberships used for targeting; supports list growth/health, overlap, and list-level performance reporting.

Email

Represents email asset metadata and associated reusable content blocks; supports content inventory, template usage, and asset-level performance rollups.

Send

Represents email send jobs (deployments) with timing and status; used to measure send volume, scheduling, throughput, and as the grain for linking engagement.

Email Engagement Event

Captures individual send, open, click, bounce, and unsubscribe events with timestamps; enables KPI calculations (open/click/bounce/unsub rates), cohorting, and journey analytics.

Campaign

Represents cross-asset marketing campaigns used to organize sends and assets; supports roll-up performance reporting and attribution across efforts.

Data Extension

Represents custom tables (and their columns and rows) storing audience attributes or transactional data; used for segmentation, enrichment, and custom KPI modeling.

Authentication Required

Uses Salesforce Marketing Cloud OAuth with your client ID and client secret (tenant-specific OAuth2 endpoints for S10+ accounts)

Getting started with SalesForce Marketing Cloud Analytics & Business Intelligence

01

Connect your SalesForce Marketing Cloud data

Connect to SalesForce Marketing Cloud 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.

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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?

SalesForce Marketing Cloud 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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