Account Analytics

Quantify Account Health with Warehouse Precision

Move beyond simple user counts. Correlate product usage directly to Account Retention and Churn Risk using live data from Snowflake/BigQuery.

B2B Impact Report

Q4 2024 Account Health

Live Warehouse View100% Data Freshness

Accounts

A
Acme Corp
92
W
Wayne Enterprises
87
S
Stark Industries
45
U
Umbrella Corp
78

Health Trend

Product Usage
Feature Adoption

Product Usage

+42%

Support Tickets

-28%

Account Retention Rate

94.2%

Trusted by companies worldwide

Ableton
BrokerChooser
Prezi
Khatabook
Fluenta
Guided eLearning
Raptor
Munch
Suunto
52 Entertainment
Colossyan
Nansen
Shapr3D
Transfr
The Scientific Workflow

From Data to Expansion in Three Steps

A systematic approach to B2B account analytics that drives predictable revenue growth.

Step 1: Map

Define Account Relationships

Connect users to accounts using your existing data model. Mitzu adapts to your schema with simple SQL joins.

-- Account user events
SELECT
user_events.timestamp,
accounts.account_id,
accounts.company_name
FROM
user_events
JOIN
accounts
ON
users_events.account_id = accounts.id
1
Step 2: Monitor

Compute Health Scores

Build custom health formulas that combine usage signals into actionable scores.

Health Score Formula
Weekly Logins×0.3
+
Feature A Usage×0.5
÷
Ticket Volume×0.2
= Health Score: 87
2
Step 3: Expand

Trigger Expansion Workflows

Alert your teams when accounts are ready for upsell or need intervention.

Acme Corp Ready for Upsell

Health: 92 → Expansion signal detected

#
Sent to #sales-alerts
3
Data Consistency

The Single Source of Truth for B2B Growth

Why trust disparate CRM data? Mitzu calculates account metrics directly on your warehouse, ensuring your Product, Sales, and Data teams all see the exact same numbers.

The Old Way

CRM-based Account Data

Data FreshnessStale

Last synced 24 hours ago

Team AlignmentFragmented
Sales: $125K ARRProduct: $118K ARRCS: $130K ARR
Query TransparencyBlack Box

No visibility into how metrics are calculated

Recommended

The Mitzu Way

Warehouse-Native Analytics

Data FreshnessLive

Real-time warehouse query

Team AlignmentUnified
Sales: $125K ARRProduct: $125K ARRCS: $125K ARR
Query TransparencyFull SQL Access

See and export every query behind your metrics

Use Cases

Account Intelligence in Action

See how leading B2B teams use Mitzu to drive expansion and reduce churn.

For Product Managers

Track account activation and engagement at every stage

Visualize how accounts progress through your product journey. Identify drop-off points and optimize for activation success.

  • Track feature adoption by account cohort
  • Measure time-to-value for new accounts
  • Identify power users driving engagement
  • Segment accounts by activation stage
Learn About Segmentation

Signup Funnel

Conversion rate by campaign • Last 90 days

100%75%50%25%0%
1444100%
NO_CAMPAIGN: 1444 (100%)
892100%
GOOGLE_ADS: 892 (100%)
567100%
SUMMER_OFFER: 567 (100%)
423100%
LINKEDIN: 423 (100%)
312100%
REFERRAL: 312 (100%)
256100%
EMAIL: 256 (100%)

1. Page Visit

36725%
NO_CAMPAIGN: 367 (25%)
28532%
GOOGLE_ADS: 285 (32%)
19835%
SUMMER_OFFER: 198 (35%)
12730%
LINKEDIN: 127 (30%)
15650%
REFERRAL: 156 (50%)
8935%
EMAIL: 89 (35%)

2. User Signed Up

NO_CAMPAIGN: 89 (6%)
GOOGLE_ADS: 98 (11%)
SUMMER_OFFER: 72 (13%)
LINKEDIN: 38 (9%)
7825%
REFERRAL: 78 (25%)
EMAIL: 31 (12%)

3. Subscription Started

Conversion rate
NO_CAMPAIGNGOOGLE_ADSSUMMER_OFFERLINKEDINREFERRALEMAIL

12.4%

Avg Conversion

REFERRAL

Top Performer

+18%

vs Last Quarter

Account Hierarchy View

Enterprise account structure

GlobalTech Holdings

Parent Account

$2.4M

ARR (Aggregated)

GT North America

450 users

$1.2M91

GT Europe

280 users

$680K87

GT Asia Pacific

190 users

$520K78

Usage metrics automatically roll up from subsidiaries

Weighted Health Score: 86
For Data Teams

Complex Hierarchies? Solved.

Handle parent-child relationships, multi-workspace accounts, and enterprise hierarchies with ease. Usage metrics roll up automatically.

  • Parent-child account relationships
  • Automatic metric aggregation
  • Flexible hierarchy definitions
  • SQL-based joins to any data source
Explore Integrations
Getting Started

How to Set Up Mitzu

Get started with account analytics in just a few simple steps. No complex integrations required.

1. Connect Your Warehouse

Connect Mitzu to your data warehouse (Snowflake, BigQuery, Redshift, Databricks). Your data stays where it is—we only run queries.

SnowflakeBigQueryRedshiftDatabricks
1

2. Configure Account Mapping

Define how users map to accounts using your existing data model. Set up user-to-account relationships with a simple SQL configuration.

user_id account_id
2

3. Start Analyzing

Immediately start exploring account-level metrics, funnels, retention, and health scores. No SDK changes or data movement required.

Most teams are live in under a day
3

94%

Average Account Retention

2x

Faster Churn Detection

100%

Data Freshness

FAQ

Frequently Asked Questions

Everything you need to know about B2B account analytics with Mitzu.

Ready to quantify your account health?

Get started with warehouse-native B2B analytics. Connect your data warehouse and start measuring account impact in minutes.