Fintech

Fintech analytics that never leaves your warehouse.

KYC funnels, experiments, transaction monitoring and board KPIs on one platform, computed where your financial data already lives.

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Monthly KPI pack

Funded accounts

184k+6.4%

Payment volume

$1.42B+9.2%

Fraud loss rate

0.04%-0.01 pp

Trusted by product and data teams

BrokerChooser
Prezi
Khatabook
Fluenta
Guided eLearning
Raptor
Munch
Suunto
52 Entertainment
Colossyan
Nansen
Shapr3D
Transfr

From signup to first transaction, on one set of definitions.

Product analytics

Registration funnel friction

Finding the specific screen (like SSN entry) where users quit the app.

View use case

Registration, start to account created

01Started signup

10,000 signups

100%

02Personal details

87% of step 1

87%

03Reached SSN screen

89% of step 2

77%

04SSN entered

58% of step 3

45%

05Account created

93% of step 4

42%

Finding

42% leave at the SSN screen; mobile users abandon identity checks 28% more than desktop.

Product analytics

First deposit conversion

Measuring how many verified users actually fund their accounts.

View use case

Verified users who funded, by days since verification

  • Email nudges
  • No nudges
D1D3D7D14D21D30

Finding

45% of verified users fund within 30 days; email nudges cut the average wait from 7 days to 3.

Experimentation

KYC flow A/B test

Reading an identity verification experiment on your warehouse, with fraud and manual review as guardrails.

View use case

Automatic capture vs. manual photo upload

+11%

Significant win

KYC completed within 24 hours

095% interval +5.2% to +16.9%

Automatic capture

64.4%

Manual upload

control

58.0%

Autonomous agents

Transaction and fraud watch agent

An agent that reviews payment volume, failures and fraud flags every morning and emails the team when one moves.

View use case
Daily transaction watch · Every day, 07:00Payment volumeFailure rateFraud flagsChargebacks

Mitzu agent · today

Fraud flags rose 38% day over day, all from online electronics

All Fintech use cases

Each one with the questions it answers, the data it needs and the Mitzu features it runs on.
GrowthRegistration funnel frictionFinding the specific screen (like SSN entry) where users quit the app.Product analyticsAI analyticsExperimentationView use caseEngineeringTransaction failure ratesMonitoring how many users try to send money but get a technical error.BI & warehouse metricsAutonomous agentsProduct analyticsView use caseProductBiometric login adoptionTracking how many users enable FaceID vs. typing a PIN.Product analyticsExperimentationView use caseDataFraud pattern detectionIdentifying suspicious transaction patterns before they cause losses.AI analyticsProduct analyticsAutonomous agentsView use caseProductKYC verification funnelTracking identity verification completion and drop-off points.Product analyticsExperimentationAI analyticsView use caseMarketingFirst deposit conversionMeasuring how many verified users actually fund their accounts.Product analyticsExperimentationBI & warehouse metricsView use caseGrowthDebit card activationTracking card ordering, delivery, and first transaction.Product analyticsExperimentationView use caseDataMobile session analyticsUnderstanding how users navigate the banking app.Product analyticsAI analyticsView use caseProductKYC flow A/B testReading an identity verification experiment on your warehouse, with fraud and manual review as guardrails.ExperimentationProduct analyticsAI analyticsView use caseDataTransaction and fraud watch agentAn agent that reviews payment volume, failures and fraud flags every morning and emails the team when one moves.Autonomous agentsBI & warehouse metricsMCP & SlackView use caseDataMonthly fintech KPI packAccounts, payment volume and fraud losses for leadership and the board, on the same definitions as product analytics.BI & warehouse metricsAutonomous agentsAI analyticsView use case

Governed by your data team.

Your data team defines the metrics and sets the permissions. Every answer, in Mitzu, Slack or an AI assistant, uses them.
  • Nothing copied out of your warehouse
  • Self-hosting and data residency available
  • You control whether the AI sees query results
  • Your data is never used to train AI models

Fintech analytics: frequently asked questions

Run fintech analytics on your warehouse, from signup to first deposit.

Start free on your warehouse, or book a demo and we'll show it on your data.

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