Meza AI - Customer Success, Supercharged with AI

💡 Note

Configure the Accounts Model before setting up the Users Model. Users must be linked to accounts.

Overview

The Users Model tracks individual users associated with customer accounts. While Meza AI focuses on account-level analytics, user data enables deeper insights into engagement patterns, power users, and stakeholder identification.

Use the Users Model to identify key stakeholders, track individual adoption, and understand how different users within an account engage with your product.

Key Fields

Field	Type	Description	Required
`user_id`	String	Unique identifier for the user	Yes
`account_id`	String	Links user to their account	Yes
`email`	String	User email address	Yes
`name`	String	User full name	No
`created_at`	Timestamp	When user was created	Yes

Configuration Steps

Navigate to Data Models

Go to Configuration → Data Models.

Configure Users Model

Find the Users Model card and click Configure.

Write Query

Write a SQL query that includes user_id, account_id, email, name, and created_at.

Map Fields

Map your query columns to the required fields.

Add Custom Properties

Optionally add role, department, or other user attributes.

Save Model

Test and save the model.

Example SQL Query

SELECT 
  id AS user_id,
  account_id,
  email,
  CONCAT(first_name, ' ', last_name) AS name,
  created_at,
  -- Optional custom properties
  role,
  department,
  last_login_at
FROM users
WHERE deleted_at IS NULL
  AND email_verified = true

Custom Properties

Common custom properties for the Users Model:

Property	Description	Use Case
Role	User role in the product	Identify admins vs regular users
Department	User department	Understand adoption by department
Job Title	User job title	Identify decision makers
Last Login	Last login timestamp	Find inactive users
Is Admin	Admin flag	Track admin engagement

User Metrics

Once configured, Meza AI automatically calculates user-level metrics:

User Count — Total users per account
Active Users — Users with recent activity
Power Users — Highly engaged users
Inactive Users — Users with no recent activity
New Users — Recently created users

✅ Tip

Track the last_login_at field to identify inactive users who might need re-engagement campaigns.

What's Next?

📊

Product Activity

Track user activities and events

📋

All Data Models

See all available models

👤 Users Data Model