Analytics Agent for YOU
Explore what you can achieve with Mitzu's AI-powered analytics. Browse 50 use cases designed for Product, Growth, and Data teams. Each represents a question Mitzu can help you answer.
50 use cases found
Feature usage tracking
Seeing which tools in your app are used daily vs. never.
Questions answered:
Which features are used most frequently?
Trial-to-paid conversion
Finding the exact moment a free user decides to buy.
Questions answered:
What is our trial-to-paid conversion rate?
Account expansion signals
Spotting when a company is growing and needs more seats.
Questions answered:
Which accounts are showing growth signals?
Onboarding completion rate
Tracking how many users finish setup and reach their aha moment.
Questions answered:
What percentage complete onboarding?
Churn risk prediction
Identifying at-risk accounts before they cancel.
Questions answered:
Which accounts are at high risk of churning?
API usage monitoring
Tracking API calls to ensure reliability and plan capacity.
Questions answered:
Which endpoints are most heavily used?
Support ticket analysis
Understanding what issues users face most frequently.
Questions answered:
What are the most common support issues?
Pricing page optimization
Testing which pricing tiers and CTAs convert best.
Questions answered:
Which pricing tier is selected most?
Behavioral user segmentation
Grouping users by behavior to personalize experiences.
Questions answered:
What distinct user segments exist?
Activation funnel analysis
Measuring progress toward your product's aha moment.
Questions answered:
What's our activation rate?
Registration funnel friction
Finding the specific screen (like SSN entry) where users quit the app.
Questions answered:
Where do users drop off during registration?
Transaction failure rates
Monitoring how many users try to send money but get a technical error.
Questions answered:
What is the transaction failure rate?
Biometric login adoption
Tracking how many users enable FaceID vs. typing a PIN.
Questions answered:
What percentage use biometric login?
Fraud pattern detection
Identifying suspicious transaction patterns before they cause losses.
Questions answered:
What patterns indicate fraud?
KYC verification funnel
Tracking identity verification completion and drop-off points.
Questions answered:
What's the KYC completion rate?
First deposit conversion
Measuring how many verified users actually fund their accounts.
Questions answered:
What's the funding conversion rate?
Debit card activation
Tracking card ordering, delivery, and first transaction.
Questions answered:
What percentage order cards?
Mobile session analytics
Understanding how users navigate the banking app.
Questions answered:
What's the average session duration?
Cart abandonment causes
Seeing if people quit at the shipping cost or the payment page.
Questions answered:
At which checkout step do most users abandon?
Search result accuracy
Tracking how many "no results found" errors users get.
Questions answered:
What percentage of searches return no results?
From Question to Insight in Seconds
Each use case represents a specific question you can ask Mitzu's AI. Simply describe what you want to analyze, and Mitzu generates the query for you.
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Describe what you want to know, like "Show me users who churned after trial" or select a use case from this library.
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Mitzu's AI understands your data schema and creates the right query automatically. No SQL knowledge required.
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