📊 Distribution Charts++

📊 Distribution Charts++

Distribution Charts now offer three specialized views to help you uncover patterns in your user behavior and event data, along with smarter automatic binning.

What You Can Do Now

• Analyze user engagement patterns with Per User Event Frequency distributions to see how often individual users perform specific actions

• Explore value patterns across events using Event Property Value distributions to understand the range and clustering of numeric properties

• Discover user-level patterns with Aggregated Property Value distributions, showing how property values sum or average per user over time

• Let the system automatically optimize your distribution bins, or take full control with custom binning

How It Works

• Per User Event Frequency shows you the spread of how often users perform an action, like revealing that most users share content 2-3 times per week while power users share 20+ times

• Event Property Value examines all instances of a numeric property across events, such as seeing the distribution of order values across all purchases

• Aggregated Property Value calculates either the sum or average of a property per user, helping you understand patterns like the distribution of total spend per customer

• Smart binning automatically creates 30 optimized buckets by default, or you can set custom bucket ranges for more precise analysis

Impact on Your Analysis These new distribution views help you answer critical questions about your product:

• Is your feature reaching broad adoption or mainly used by power users?

• What's the typical range for key metrics like transaction values or engagement counts?

• How do value patterns differ when looking at individual instances versus per-user aggregates?

The combination of flexible viewing options and intelligent binning makes it easier to find meaningful patterns in your data, whether you're analyzing user behavior, transaction patterns, or engagement metrics.