Product Updates: Prediction-Based Segmentation

New Feature Highlights for Enhanced Segmentation and Reporting

Someone using B2Metric's Churn Prediction-Based Segmentation feature would benefit from the following when generating a report:

1. Customer Segmentation: The churn prediction model segments the customer base based on specific risk levels. This helps identify which customers need retention efforts and which segments carry higher risks.
2. Personalized Marketing: Segmentation results enable the creation of targeted and customized marketing strategies for different customer groups, leading to higher customer satisfaction and loyalty.
3. Early Warning System: By predicting churn, you can identify potential customer losses in advance and take proactive measures. This provides an opportunity to develop strategies to reduce churn.
4. Revenue Optimization: Knowing which customers are at higher risk of churning can be used to optimize pricing and offer strategies, contributing to increased revenue.
5. Efficient Resource Allocation: Understanding which customers require more investment to prevent churn allows for more efficient use of marketing and customer relationship management resources.

We’ve significantly improved our segmentation capabilities to help you get more precise insights and run more effective campaigns. Here’s what’s new:

Churn Prediction-Based Segmentation:

You can now create predictive segments based on the threshold defined by our churn model, helping you identify at-risk users more effectively.

Rule-Based Segmentation

Build segments using predefined properties, user behaviors, or existing segments. These rule-based segments are now fully customizable and can be used across reports and campaigns.

Control Groups for A/B Testing

When creating a segment, you can now automatically generate a random sample to act as a control group, simplifying the A/B testing process.

Enhanced Logical Operations

We’ve added the ability to link multiple conditions using either AND or OR logic, giving you more flexibility in segment creation.

Aggregated Financial Reporting

For financial events like spending or payments, you can now aggregate data (sum or average) to report on metrics such as total or average spending. This allows for deeper financial insights across user segments.

These new features make analyzing user behavior easier, optimizing campaigns, and driving more data-driven decision-making. We look forward to seeing how you use them!