Overview

In a world driven by user data, staying ahead is not just an advantage; it is a necessity. CleverTap’s Predictions feature leverages advanced machine learning to forecast user actions, enabling you to make strategic decisions that propel your engagement efforts and drive growth. Imagine you are a part of a marketing team gearing up for the Black Friday Sale. And you want to identify the users most likely to make a purchase. This is where Predictions come into play. Predictions identify how likely your target segment is to perform a specific action within a defined time frame, enabling you to tailor your strategies for maximum impact.

📘

Private Beta

The feature is currently released in Private Beta for select CleverTap customers. For early access to this feature, contact your Account Manager.

Video Tutorial

You can watch the following video to learn more about Predictions.

Power of Predictions

Conventional campaign targeting typically involves creating a campaign for predefined target segments based on past behavior. Meanwhile, Predictions analyze current and historical data to estimate the likelihood of specific future actions. This allows you to target users more effectively by tailoring incentives and communication strategy while maximizing marketing ROI based on anticipated actions.

Additionally, it also offers several significant benefits:

• Enhanced User Engagement: By predicting user behavior, you can tailor your marketing efforts to target the right users with the right messages at the right frequency, increasing engagement empathy.
• Increased Conversion Rates: Predictive insights help you identify users who have a high likelihood to perform a particular action, allowing you to focus your efforts on moderate likelihoods and optimize your campaigns for better results.
• Churn Management: Understanding which users are at risk of churning enables you to proactively engage with them through personalized offers or interventions, thereby reducing churn rates.
• Personalized User Experiences: Predictions help you customize user experiences based on their likelihood to engage or convert, enhancing satisfaction and loyalty.
• Data-Driven Decisions: Predictive analytics provide actionable insights based on historical data, enabling you to make informed decisions and strategize more effectively.

Getting Started

Here are some of the essential steps to get started:

• Define Your Objectives: Determine your goal - boosting user activation, retaining valuable customers, or increasing lifetime value.
• Identify Key Milestones: Use Predictions to target crucial milestones in the user's journey, such as first-time engagement, purchase behaviors, or churn risk.
• Apply Data-Driven Insights: Leverage the insights from Predictions to craft personalized experiences that resonate with users, aligning your efforts with your strategic goals.

For instance, you are running a marketing campaign targeting users who have high likelihood to watch a video. By leveraging this feature, you can effectively prioritize your marketing efforts and ensure your engagement strategies are data-driven.

How Does It Work?

Here is a quick look at how CleverTap's Predictions feature works:

• Data Collection: The system gathers data based on user behavior and interactions from integrated sources.
• Analysis: The system analyzes this data to identify patterns and trends in user actions.
• Prediction: The system forecasts the likelihood of specific actions or events based on the analysis using XGBoost modeling.
• Categorization: Users are categorized into different likelihood groups (High, Medium, and Low) based on their predicted behavior.
• Campaign Optimization: These predictions help make informed decisions, ensuring that the marketing efforts are directed toward the most promising users.

Glossary

Here are some key terminologies you must understand before using the Predictions feature:

Resources

Refer to the following documents to explore how Predictions can transform your strategy and elevate your engagement efforts to new levels: