Connector Database / Mailjet
Analyze your Mailjet data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Mailjet data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Mailjet 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 Mailjet data with DuckDB-powered data warehouse including Google Sheets, HubSpot, Attio and Zendesk.
Available Mailjet Data
Extracts Mailjet email marketing and messaging data, including contacts and contact lists, campaign drafts and sent campaigns, templates, and message-level activity such as opens, clicks, and bounces. This enables analysis of audience growth and segmentation, campaign performance, deliverability, and user engagement across email programs.
Contact
Represents individual recipients with attributes and subscription status. Enables audience segmentation, lifecycle tracking, and attribution of engagement to specific users.
Audience List
Represents mailing lists that group contacts for targeting. Supports analysis of list growth, churn, subscriber composition, and list-level performance.
Segment
Represents dynamic rule-based audiences defined by filters. Enables cohort comparisons, targeted campaign analysis, and personalization at scale.
Campaign
Represents email campaigns (sent and planned). Enables measurement of campaign performance (delivery, opens, clicks), scheduling impact, and targeting effectiveness.
Email Template
Represents reusable creative layouts and content blocks. Supports template-level performance benchmarking, content governance, and iteration.
Email Message
Represents individual message instances delivered to recipients with statuses and timestamps. Enables deliverability tracking, send-time analysis, and troubleshooting at the message level.
Engagement Event
Captures recipient interactions and delivery failures, including opens, clicks, and bounces. Powers engagement funnels (open → click), CTR/CTOR, device/user-agent insights, and deliverability monitoring.
Authentication Required
Uses your Mailjet API key and secret (HTTP Basic Auth) to connect securely
Getting started with
Mailjet Analytics & Business Intelligence
Connect your Mailjet data
Connect to Mailjet 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?
Mailjet 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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