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Heap Event Completion Rate

What is Heap Event Completion Rate

Heap Event Completion Rate measures the percentage of users who successfully finish a specific event or action tracked in Heap Analytics. This metric is used to evaluate user engagement with key workflows, such as completing a signup form, finishing a purchase, or finishing a tutorial. High completion rates indicate smooth, intuitive user flows, while low rates may signal friction points or usability issues.

How to Calculate Heap Event Completion Rate

  1. Define the Event Clearly: Specify the event you want to track in Heap, such as completing a form, finishing a purchase, or reaching the end of a tutorial. Clearly outline what counts as a “completion.”
  2. Track Users Who Start the Event: Identify all users who begin the event during the chosen period. This is your starting population.
  3. Identify Users Who Complete the Event: Monitor which users successfully reach the final step of the event as defined in your criteria.
  4. Count the Users: Note the total number of users who started the event and the total number who completed it.
  5. Calculate the Completion Rate: Divide the number of users who completed the event by the number who started it, then multiply by 100 to express it as a percentage.
  6. Optional Analysis: Segment by device type, browser, or user cohort to find specific friction points and optimize flows.

Formula

Heap Event Completion Rate = (Sessions Reaching Final Step ÷ Sessions Entering Event) × 100

Benchmark

For core events, a healthy Heap Event Completion Rate typically ranges from 70 to 90 percent. Rates below this range may indicate friction points that need investigation.

FAQ's

It helps teams understand how effectively users navigate key flows and highlights areas that may hinder conversions or engagement.

Heap can monitor multiple events at once, allowing analysis of different workflows and their completion rates.

By simplifying steps, reducing unnecessary fields, providing clear guidance, and fixing technical issues that block progress.

Differences in device type, screen size, or browser compatibility can create friction and lower completion rates.

Monitor daily for high-traffic events and weekly for longer-term trends to quickly identify issues and improve user experience.

It shows which steps users struggle with, allowing targeted improvements to increase adoption and reduce drop-offs.