Connector Database / Magento
Analyze your Magento data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Magento data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Magento 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 Magento data with DuckDB-powered data warehouse including MongoDB, S3 and Stripe.
Available Magento Data
Extracts Magento Commerce storefront data including orders, invoices, credit memos, products and their attributes, categories, carts (quotes), inventory and stock status, coupons and sales rules, and multi-store configuration (websites, store groups, store views). This enables analysis of revenue and refunds, product performance, inventory levels and stockouts, promotion effectiveness, abandoned carts, and multi-store operations.
Order
Represents placed sales orders with customer, items, totals, shipping, and status. Enables analysis of GMV/revenue, AOV, order status flows, cohort performance, and fulfillment outcomes.
Invoice
Represents billed documents tied to orders with amounts and taxes. Supports analysis of invoiced vs. ordered revenue, payment capture timing, and financial reconciliation.
Credit Memo
Represents refunds for orders or invoices, including refunded items and amounts. Enables refund rate tracking, net revenue calculations, and return analysis.
Cart (Quote)
Represents active and abandoned shopping carts with items, customer details, and checkout info. Used for funnel and abandonment analysis, recovery performance, and pre-purchase behavior insights.
Product
Represents catalog SKUs with attributes, pricing, media, and relationships. Enables product performance analysis (sales, AOV contribution), merchandising, pricing strategy, and attribute-based segmentation.
Inventory
Represents on-hand and sellable quantities by SKU, stock, and source. Supports stockout monitoring, days-of-supply, fulfillment readiness, and multi-source allocation analysis.
Category
Represents the product taxonomy and hierarchy. Enables category-level sales, conversion, and assortment performance reporting.
Promotion
Represents cart price rules and coupon codes with activation and usage controls. Used to measure promo lift, redemption rate, discount leakage, and campaign ROI.
Store
Represents the multi-store hierarchy and configuration (websites, store groups, store views) including locale, currency, and base URLs. Enables multi-store, regional, and localization slicing of KPIs and reporting.
Customer
Represents buyers and shoppers inferred from orders and carts with associated details. Supports cohorting, CLV, repeat purchase rate, and segmentation for lifecycle and personalization analysis.
Authentication Required
Uses a Magento admin access token or your Magento username and password to obtain a bearer token
Getting started with
Magento Analytics & Business Intelligence
Connect your Magento data
Connect to Magento 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?
Magento 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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