An Introduction to Using Data with Braze

Overview

Data is the foundation of effective customer engagement. In Braze, data enables you to understand your users, personalize messaging, and optimize campaigns for better performance. This guide introduces the key concepts and best practices for using data within Braze.

Why Data Matters in Braze

Braze is designed to help you deliver relevant, timely, and personalized experiences. To do that effectively, it relies on accurate and well-structured data. With the right data strategy, you can:

  • Create highly targeted user segments

  • Deliver personalized messaging across channels

  • Track user behavior and campaign performance

  • Automate customer journeys

Types of Data in Braze

Braze uses several types of data to build a complete picture of your users:

1. User Attributes

These describe who your users are.

Examples:

  • Name

  • Email

  • Location

  • Subscription status

You can use these attributes to personalize messages and build segments.

2. Custom Attributes

Custom attributes allow you to store additional user-specific data unique to your business.

Examples:

  • Loyalty tier

  • Preferred category

  • Signup source

3. Events

Events track what users do within your app or website.

Examples:

  • App opens

  • Purchases

  • Button clicks

Events are critical for triggering campaigns and understanding user behavior.

4. Purchase Data

This captures transactional information such as:

  • Product purchased

  • Price

  • Quantity

This data is useful for revenue tracking and personalized offers.

How Data Flows into Braze

Data can be sent to Braze through multiple methods:

  • SDKs (mobile/web integration)

  • REST APIs

  • Cloud data ingestion tools

  • Third-party integrations

Ensuring consistent and accurate data flow is essential for reliable campaign performance.

Using Data for Segmentation

Segmentation allows you to group users based on shared characteristics or behaviors.

Examples of segments:

  • Active users in the last 7 days

  • Users who abandoned a cart

  • High-value customers

Well-defined segments help you send more relevant messages and improve engagement rates.

Personalization with Data

Braze allows you to dynamically personalize messages using user data.

Examples:

  • “Hi {{first_name}}, check out new arrivals!”

  • Product recommendations based on past purchases

Personalization increases open rates, click-through rates, and conversions.

Data-Driven Campaigns

You can use data to trigger campaigns automatically based on user actions.

Examples:

  • Welcome message after signup

  • Reminder after cart abandonment

  • Re-engagement campaigns for inactive users

These automated campaigns help maintain consistent communication without manual effort.

Best Practices for Using Data in Braze

  • Keep data clean and consistent: Avoid duplicate or incomplete records

  • Define a clear data strategy: Know what data you need and why

  • Use meaningful event names: Make tracking and analysis easier

  • Test your data flows: Ensure data is being captured correctly

  • Respect user privacy: Comply with data protection regulations

Common Mistakes to Avoid

  • Sending campaigns without proper segmentation

  • Overloading user profiles with unnecessary data

  • Not validating incoming data

  • Ignoring data privacy requirements

Conclusion

Using data effectively in Braze empowers you to deliver personalized, timely, and impactful customer experiences. By understanding the types of data available and applying best practices, you can unlock the full potential of your engagement strategy.