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Pushwoosh.com

Getting started with audience data and segmentation

Pushwoosh provides powerful tools to help you understand, categorize, and engage your users effectively. This section covers how to collect, manage, and segment user data. This enables you to create targeted messaging campaigns.

User data (tags)

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Tags Understand how Tags work in Pushwoosh and how to use them for segmentation.
Update tags via CSV Bulk update user data efficiently by importing Tags via CSV files.

Segmentation

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Segments Discover how to define and manage user segments for precise targeting.
How to create segments Learn how to create segments using tags, events, existing segments, and advanced filtering techniques.
Calculating segment size Estimate segment size to optimize targeting and campaign performance.
RFM segmentation Use Recency, Frequency, and Monetary (RFM) segmentation to classify users based on engagement.

Events

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Understanding events in Pushwoosh Track user actions and behaviors with events to trigger relevant messages.
Default events Explore predefined events that help track common user actions.
Custom events Define custom events tailored to your business needs for advanced tracking.
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Discover industry-proven in-app events designed for your app category. Based on best practices and expert insights, these events help you track key user interactions. They also refine segmentation and create more impactful messaging campaigns.

Recommended events for e-commerce Leverage key events to track and optimize user behavior in e-commerce applications.
Recommended events for gaming apps Monitor user engagement and progression with events designed for gaming apps.
Recommended events for media Analyze content consumption patterns with recommended events for media platforms.
Recommended events for mobile apps Track user interactions and engagement metrics in mobile applications.
Recommended events for subscription management Optimize subscription models using predefined events for user lifecycle tracking.

Global control group

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Set a fixed percentage of users to exclude from marketing messages (Push, Email, In-app) so you can measure campaign effectiveness by comparing results with users who did not receive the messages. Users in the control group still receive transactional messages.

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User Explorer

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Gain insights into individual user behavior, attributes, and engagement history.

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