Check this against the same date range, traffic segment and business definition used elsewhere in the analysis.
User Behaviour
Where are visitors dropping off?
A direct answer to where are visitors dropping off, including the measurements to check, the setup required, common mistakes and the next action to take.
Direct answer
Build a funnel around the real journey and measure completion between steps. The largest loss point is a starting point for investigation rather than proof of the cause. Check click distribution, scroll depth, step completion. Keep traffic, leads and revenue separate so one number does not hide a weak customer journey.
What matters
What you need to know
Start with the evidence the business already controls. Confirm what is being measured, then add new tracking only where it closes a real gap.
For this issue, check click distribution, scroll depth, step completion.
user behaviourheatmapssession recordingsclick trackingscroll depthdrop offfunnel
Evidence
What to measure
Use the smallest group of metrics that can answer the question. A larger report is not automatically a better report.
Check this against the same date range, traffic segment and business definition used elsewhere in the analysis.
Check this against the same date range, traffic segment and business definition used elsewhere in the analysis.
Check this against the same date range, traffic segment and business definition used elsewhere in the analysis.
Check this against the same date range, traffic segment and business definition used elsewhere in the analysis.
Check this against the same date range, traffic segment and business definition used elsewhere in the analysis.
Implementation
How to build or diagnose it
Follow the evidence in order. Changing several tracking layers at the same time makes it harder to prove which change fixed the problem.
- Choose a real journey to observe
- Measure the steps that matter
- Use heatmaps or recordings as supporting evidence
- Segment by device, source and landing page before drawing conclusions
Failure patterns
What commonly goes wrong
These are recurring causes of misleading analytics, broken attribution and wasted implementation work.
Verify the underlying evidence before changing the reporting layer or drawing a commercial conclusion.
Verify the underlying evidence before changing the reporting layer or drawing a commercial conclusion.
Verify the underlying evidence before changing the reporting layer or drawing a commercial conclusion.
Verify the underlying evidence before changing the reporting layer or drawing a commercial conclusion.
Decision sequence
How to read the result
Keep observation, interpretation and commercial action separate. That reduces false certainty and makes the next decision easier to defend.
Behaviour tools show where friction may exist
They do not explain motivation on their own
Use them with conversion data, page speed, search intent and customer feedback
Questions
Frequently asked questions
Short answers to the next questions that usually follow this search.
What should I check first?
Start with click distribution and scroll depth, then compare the result with a real visit, lead or sale you can verify.
Which measurements matter for where are visitors dropping off?
Click distribution, Scroll depth, Step completion, Exit points. Choose the smallest set that answers the business question.
Can analytics prove every customer action?
No. Browser restrictions, consent choices, cross device behaviour, offline conversations and missing identifiers create gaps. A reliable report shows what is observed, what is inferred and what remains unknown.
When is specialist help useful?
Bring in help when the numbers cannot be reconciled with known business outcomes, several platforms report different results, advertising depends on the data, or the setup has become difficult to audit safely.
Platform guides
Check the platform settings
Use the vendor guides below when checking the settings discussed on this page.
Related questions
Keep working through the measurement problem
These pages cover the next questions that usually arise around the same measurement problem.
Need the measurement fixed, built or verified?
DSDillon can audit the current setup, repair conversion evidence and connect website activity to leads and commercial outcomes.
Related DSDillon resources
Keep working through the issue
Related guides and services that can help you continue the diagnosis.
Related guidance
Explore more about Where Are Visitors Dropping Off
Conversion evidence, lead tracking and commercially useful reporting.
