Our platform's powerful data science layer scours your dataset to automatically uncover the insights that lead to the biggest business results — even on untracked events.
How it works: Heap Illuminate looks for the most common events between two steps in a funnel and generates a Top Events table (shown above) that displays how well paths including different events convert to the next step so you can understand how that behavior is helping or hurting conversion.
You can then choose an event and use Path Comparison (shown above) to fork your funnel and see how the selected behavior impacts conversion downstream. Journey Maps tells you where the greatest points of friction and opportunity lie to improve the customers’ digital experience.
Effort Analysis provides the first-ever quantitative measurement of user friction, capturing quantitatively the difficulty users face when moving through every step of every user flow in your digital experience.
By combining the number of interactions between each step in the flow, time spent on each step, and the average number of site visits it takes to complete the flow, Effort Analysis helps you prioritize the fixes that will have the biggest impact on your users’ experience.
Step Suggestions automatically surface events that exhibit significant dropoff but which aren’t currently tracked in your funnel. This includes events you haven’t yet defined.
These suggestions direct you to the major milestones in your customer journey, including moments of unseen friction and opportunity.
Group Suggestions help you identify the user segments that most impact conversion and engagement.
When you run a graph or funnel query, Group Suggestions automatically surface recommendations for how to best group your data to reveal deeper insights.
Pageview Suggestions provide a new way to define pageview events in Heap.
By proactively surfacing the most commonly viewed pageview types, these suggestions ensure that you examine your data with the right level of granularity.
"We used Effort Analysis to evaluate the users' time engaged during analysis of an Express Checkout feature implementation. Heap showed us where users are confused between steps. Thanks to this analysis, I hid some unnecessary customizations from the flow, which increased our overall conversion rate by 2%."
Product Owner at Updater