What is behavioral analytics?

Behavioral analytics is the process of collecting and analyzing data from user actions on digital products, such as apps or websites. This data helps companies understand how users interact with their product, enabling them to make informed decisions for improvements.

When you track user actions, you gather insightful data about their behaviors. These actions could be anything from clicking a button to abandoning a shopping cart. By analyzing this data, you can identify patterns and trends that reflect user preferences and pain points.

Importance of behavioral analytics

Business insights

Behavioral data reveals what users want and how they engage with your product. This understanding drives data-driven decisions to enhance user experience. It directly impacts business outcomes.

• Behavioral targeting can help you understand and cater to user preferences. Learn more about Behavioral Targeting.

• Understanding user behavior can improve your Conversion Rate Optimization.

• Analyzing Enterprise Analytics can provide deeper insights into business operations.

Examples

• Conversion rates: Knowing the steps to conversion helps refine marketing tactics. Utilize tools like A/B Testing Calculators to identify improvement areas.

• Retention rates: Observing long-term user behaviors aids in creating features that boost retention. Explore how Customer Journey Management can enhance user experience.

• Documentation: Implementation guides can be found in the Walkthrough Guides section to help you get started.

By integrating these insights, businesses can significantly improve their strategies and outcomes.

Types of behavioral analyses

A/B testing

A/B testing compares two versions of a feature or landing page. It determines which performs better based on user interactions. You can see clear, data-driven results. Learn more about A/B testing and try out the A/B Testing Calculator. For detailed documentation, visit Statsig Documentation.

Funnel analysis

Funnel analysis examines each stage of the user journey. It identifies where users drop off. This helps you find and fix problem areas. Explore how Statsig helps with funnel analysis and read about Customer Stories using this approach. For a comprehensive guide, refer to the Walkthrough Guides.

Cohort analysis

Cohort analysis groups users by similar behaviors. It identifies patterns and trends. This informs product development decisions. Discover more about Behavioral Targeting and the importance of Cohort Analysis. Connect with the community through Statsig Slack Support.

Real-world examples of behavioral analytics

• ClearScore: Used funnel analysis to double their free-to-paid conversion rate. Identified key user behaviors in the funnel. Adjusted messaging at critical stages.

• NBC Universal: Improved retention with cohort analysis. Personalized user experiences based on viewing history. Doubled retention at the Day 7 benchmark.

• iflix: Increased engagement through A/B testing. Compared an embedded video player and autoplay feature. Found the embedded player boosted conversion-to-play rate by 3.5x.