One platform for all your analytics, onSnowflake

Product analytics, BI and experimentation on your data warehouse. Your data team governs the metrics and access once, and every team and AI agent works from the same trusted numbers.

No credit card requiredConnect your warehouse in minutes

A four-turn conversation with the Mitzu agent about the Android app converting worse than iOS. It narrows the gap down to the payment step, then to app version 4.2, then to Google Pay, and concludes that Android 4.2 broke Google Pay at checkout.

Trusted by leading companies worldwide

BrokerChooser
Prezi
Khatabook
Fluenta
Guided eLearning
Raptor
Munch
Suunto
52 Entertainment
Colossyan
Nansen
Shapr3D
Transfr
Physics Wallah
NoRedInk
Axbe Games

Understand what drives your business top to bottom.

Follow any KPI down to the user journey behind it: the step where customers leave, and why.
  1. 01BI

    Spot the change

    An agent watches your topline metrics and flags when one moves.

    Daily revenue, last 14 days

    $21.4k-31% on Tue Oct 7
    Investigate
    AlertRevenue fell 31% on Tuesday, sent at 09:00
  2. 02PRODUCT

    Follow the user journey

    See the exact step where customers leave.

    Android buyer journey

    Tue Oct 7, from cart

  3. 03PRODUCT

    Find what drives it

    Break it down by platform, campaign or segment to find the cause.

    Checkout conversion, by platform

    Tue Oct 7 vs the week before

    Android

    after v4.2

    -31%

    iOS

    -2%

    Web

    -1%

    Root cause

    Android users failed at the payment step after release 4.2, until the 4.2.1 hotfix.

Try this in Mitzu, free

Every feature you need in one place to unlock business growth.

Ask the agent or build it by clicking. Every analysis runs on the same definitions.

Ask, ask why, then dig deeper.

AI analytics

  1. Quick question

    How many orders yesterday?

    1,840-24%

  2. Why

    Why are they down?

    Android

    -31%

    iOS

    -2%

    Web

    -1%
  3. Deep dive

    Dig deeper. What broke?

    Release 4.2 broke the Android payment step

See the paths users take, and where they leave.

Funnels and journeys

First touchProductOutcome
Search
Email
Paid social
Viewed
Bounced
Order
Left

See which cohorts come back.

Retention and cohorts

% of each cohort still active

Signed upW0W1W2W3W4W5W6
Aug 182,310 users100513630272524
Aug 252,050 users1005035292625
Sep 12,180 users10052373128
Sep 82,260 users100685549
Sep 152,240 users1007057
Sep 222,200 users10071

Agents watch your KPIs and email the team.

Autonomous agents

Mon to Fri, 09:00RevenueOrdersOrder valueCheckout

Mitzu agent · 09:04

Checkout conversion fell 9% week over week

Define trusted metrics once, on your own tables. Let your teams self-serve them.

Warehouse metrics

KPI dashboards anyone can build.

Dashboards

Revenue

$148k+6.2%

Active customers

21,480+3.4%

Orders

2,310-1.1%
W33W34W35W36W37W38W39W40

Dashboards, insights, agent chats and alerts live in one shared space, so your teams can reuse all work, without any duplication.

AI answers governed by your data team.

Your data team models the data with the tools it already runs. Everyone else self-serves on top, with AI or by clicking.
  1. 01

    Your data team owns the models

    In dbt, Dataform or Airflow, as today.

    Owned by your data team

    • dbt
    • Dataform
    • Airflow
    • Dagster
    • Airbyte
    • Prefect
    fct_ordersdim_usersrevenue_daily
  2. 02

    Everyone asks the AI

    Answers use certified metrics only.

    Ask Mitzu

    Which plan converts best from trial?

    Pro

    31%

    Team

    24%

    Starter

    12%

    Certified metric: trial_conversion

  3. 03

    Trusted BI reports alongside product analytics insights

    Revenue and KPIs next to funnels and retention.

    Weekly business review

    BI

    Revenue

    $412K

    +8% WoW

    BI

    Weekly revenue

    PRODUCT

    Signup funnel

    PRODUCT

    Retention

    One dashboard, on the same certified models

Run Mitzu inside your own AWS cloud with your own AI key.

Mitzu fits inside your perimeter: your warehouse, your AWS account, your AI.
  1. Warehouse-native

    Queries run in your warehouse. Only aggregates come back; raw data never leaves.

  2. Self-hosted on AWS

    Launch from AWS Marketplace into your own account. Nothing calls back to Mitzu.

  3. Bring your own AI

    Use your own Anthropic key, or your own gateway and key: OpenRouter, Amazon Bedrock and more.

The same trusted answers, wherever your teams ask.

No new tool to learn, and no warehouse access needed.

In Mitzu

Ask the agent or explore any metric.

Ask Mitzu

First orders by channel?

Organic

4,820

Paid social

3,140

Email

2,260

Partners

980

In your AI assistant

Claude, ChatGPT, Cursor or Copilot, through MCP.

  • Claude
  • ChatGPT
  • Cursor
  • Copilot
MCP
Mitzu

run_analytics_agentgoverned

In Slack

Mention @mitzu and the answer lands in the thread.

growth

@mitzu why did signups drop?

Paid social

-41%

Organic

-1%

Email

+2%

View in Mitzu

See what Mitzu replaces

Four tools, four sets of definitions and four bills become one platform on your warehouse.
Mitzu

One platform on your warehouse

  • KPI dashboards and reports
  • A/B test results, with lift and significance
  • Funnels, retention and user journeys
  • Website, campaign and conversion analytics
  • An agent that answers across all of it

One set of definitions, one bill, and nothing copied out of your warehouse.

Instead of

BI tools

  • Tableau
  • Power BI
  • Looker
  • Metabase

Instead of

Experiment analysis

  • Optimizely
  • VWO
  • LaunchDarkly

Keep your tool for assigning variants; Mitzu analyses the results.

Instead of

Product analytics

  • Amplitude
  • Mixpanel
  • Heap
  • PostHog

Instead of

Web analytics

  • Google Analytics
  • Adobe Analytics
  • Matomo
  • Plausible

What data teams say about Mitzu

“…eliminating the analytics bottleneck. Our engineering team no longer gets flooded with ad-hoc SQL requests - everyone can self-serve with confidence.”
Oliy Barret
Oliy Barret
CTO at Rythm
“…all events are centralized, allowing teams to easily access data, resolve disagreements with charts, and share live data links for clarity.”
Dora Szabo, PhD
Dora Szabo, PhD
Data Lead at Shapr3D
“…our business teams see the same interface, but under the hood, everything is more powerful and easier to maintain.”
Paavo Keisanen
Paavo Keisanen
Data Architect at Suunto
“The onboarding funnel improved by 30%, and ad hoc reporting is 50% faster…”
Tamás Kocsis
Tamás Kocsis
Director of Product Management at Colossyan

Frequently asked questions

Let your teams unlock insights in your warehouse.

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