Drop-Offs
Features
A drop-off occurs when a user abandons a page, feature, or workflow before completing their intended action.
It represents intent interrupted, whether the intent was to buy, explore, or use.
Drop-offs are essential for understanding both conversion and adoption behaviors.
Types of Drop-Offs
Type | Typical Users | Definition | Example | Main Insight |
Conversion Drop-Off | Visitors, customers | Abandon a revenue-related goal | Leaves /checkout before payment | Lost sales / revenue leakage |
Adoption Drop-Off | Employees, logged-in users | Abandon a workflow or feature mid-use | CRM user quits before “Submit Quote” | Poor feature adoption or UX friction |
Engagement Drop-Off | Visitors or users | Stop exploring deeper content | Lands on dashboard but doesn’t open reports | Low engagement depth |
Exploration Drop-Off | First-time or low-intent visitors | Exit immediately after arrival | Visit home page and leave after one click | Weak first impression / relevance issue |
Core Metrics
To analyze drop-offs effectively, GermainUX standardizes two complementary measures:
Metric | Formula | Meaning | Use Case |
Drop-Off Share | dropoffs_in_segment / total_dropoffs_on_page | How much this segment contributes to all exits | Identify which performance range or cohort drives most drop-offs |
Drop-Off Rate | dropoffs_in_segment / sessions_in_segment | Probability that a user in this segment will drop off | Quantify risk per user experience type |
Example
16 drop-offs among 56 sessions (26 total drop-offs):
Share = 61.5 % (
100 * 16 / 26
) → Impact among all exitsRate = 28.6 % (
100 * 16 / 56
)→ Risk among users
Share = where most drop-offs happen.
Rate = how risky that experience is.
Why It Matters
Context | Business Value |
Conversion Drop-Offs | Reveal where revenue leaks occur and what performance issues drive abandonment |
Adoption Drop-Offs | Show where employees or customers give up mid-task, guiding UX and process optimization |
Unified Drop-Off Analytics | Enables GermainUX to correlate UX, performance, and process friction under one framework |
Example of a GermainUX Portlet

Dropoff portlet on GermainUX
Service: Analytics
Feature Availability: 2025.2 or later