Connector Database / Zuora
Analyze your Zuora data with AI
Build interactive dashboards, generate automated reports, and unlock business intelligence insights from your Zuora data with AI-powered assistant.
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Start with a question
Generate automated reports and business intelligence insights from your Zuora 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 Zuora data with DuckDB-powered data warehouse including HubSpot, Google Sheets, MongoDB and Google Analytics.
Available Zuora Data
Extracts subscription billing data from Zuora, including accounts, products, subscriptions, rate plans, invoices and invoice line items, payments, refunds, usage, and related objects. This enables revenue, billing, churn, and subscription lifecycle analysis across customers, products, and periods.
Customer Account
Represents bill-to/sold-to customers and their attributes; enables cohort and lifecycle analysis, segmentation, MRR/ARR by customer, retention/churn, and LTV tracking.
Subscription
Captures subscription terms, statuses, amendments, and rate plan selections; supports analysis of new/active/canceled subscriptions, renewals, MRR/ARR, contraction/expansion, and churn.
Product Catalog
Defines products, rate plans, and rate plan charges used for pricing; enables analysis of plan adoption, pricing mix, ARPA, packaging impact, and monetization strategy.
Invoice
Billing documents and line items detailing charges, taxes, and discounts; supports billed revenue reporting, product/plan revenue mix, aging, and period-over-period comparisons.
Payment
Settlements applied to invoices including status and amounts; enables cash collections analysis, DSO, success/failure rates, and recovery performance.
Refund
Refund transactions linked to payments or invoices; supports net revenue adjustments, refund rates, and root-cause analysis for returns or service issues.
Usage
Metered consumption records tied to usage-based charges; enables consumption analytics, overage monitoring, unit economics, and usage-to-revenue conversion.
Authentication Required
Uses your Zuora username and password (API access key and secret) to authenticate — REST calls use API headers and AQuA requests use HTTP Basic Auth
Getting started with
Zuora Analytics & Business Intelligence
Connect your Zuora data
Connect to Zuora 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?
Zuora 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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