Journey Analytics

Map the Hidden Paths Your Users Take

Don't guess where users drop off. Visualize every interaction, click, and hesitation in a warehouse-native Sankey diagram that scales to billions of events.

Mitzu Journey Analytics Dashboard
Mitzu Journey Analytics Dashboard
Mitzu Journey Analytics Dashboard
Mitzu Journey Analytics Dashboard

Trusted by companies worldwide

Ableton
BrokerChooser
Prezi
Khatabook
Fluenta
Guided eLearning
Raptor
Munch
Suunto
52 Entertainment
Colossyan
Nansen
How It Works

From Aggregate Flows to Individual Behaviors

Just as metric trees break down KPIs, Journey Analytics breaks down User Paths. Understand not just what happened, but who did it and why.

01

Define the Start & End

Select a starting event (e.g., 'App Open') or an ending goal (e.g., 'Purchase'). Mitzu automatically fills the middle.

02

Analyze the Width

Path thickness represents user volume. Instantly spot the 'Golden Path' vs. the 'Road to Nowhere'.

03

The 'Why' Click

Click any node in the journey to instantly generate a SQL query or a user segment. Go from 'What happened?' to 'Who did it?' in one click.

For Data Teams

No ETL. No Event Mapping. Just SQL.

Traditional journey tools require rigid event tracking plans. Mitzu builds journeys dynamically from your raw warehouse tables. Change your query, rebuild the journey instantly—no re-indexing required.

query.sql
-- Auto-generated from your Sankey diagram
SELECT user_id, event_sequence
FROM warehouse.events
WHERE path LIKE 'signup%onboarding%'
  AND converted = true
User Path AnalysisLive
SessionClickViewSubmitPurchaseSignupTrialDemoDownloadContactConversion rate80%Drop-off

Connected to

Snowflake / BigQuery / Databricks

Use Cases

Diagnose Problems. Drive Action.

From drop-off analysis to multi-touch attribution, see how teams use Journey Analytics to make data-driven decisions.

Product Manager Focus

Fix the Leaky Bucket

Why do 60% of users fail to complete onboarding?

User Journey BreakdownStep 1App OpenStep 2View ProductFiltersAll UsersLast 30 daysUSUKDEFRCAAUJPBRINGoalWebMobileAPI
Marketer Focus

Multi-Touch Attribution Paths

See the full path from 'Blog Post' to 'Paid Ad' to 'Conversion'.

Blog

Email

Ad

Convert

23% of conversions

follow this path

Capabilities

Everything You Need for Path Exploration

Sankey Diagrams

Visual flows showing user volume at each step. Width equals impact.

Behavioral Segmentation

Click any node to create a cohort. Segment by behavior, not just attributes.

Drop-off Analysis

Pinpoint exactly where users leave. Quantify the revenue impact.

Warehouse-Native

Query your source of truth directly. No data copying or sync delays.

Real-Time Results

Get answers in seconds, not hours. Built for speed at any scale.

No-Code Interface

Drag-and-drop simplicity for PMs. SQL export for Data Teams.

How It Works

Get started in minutes

Connect your data warehouse and start analyzing user journeys without any data movement or complex setup.

Connect your data

Link Mitzu to your data warehouse where your journey and event data already lives. No data movement required.

Configure journey mapping

Define your events and user paths. Mitzu auto-detects schemas to speed up setup.

Analyze user journeys

Start analyzing journey-level metrics, path flows, and drop-offs with powerful self-service analytics.

Common Questions

Frequently Asked Questions

Everything you need to know about Journey Analytics with Mitzu.

Ready to Map Your User Journeys?

Join data teams who've transformed their path analysis workflow. Start visualizing user flows in minutes, not months.