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UX Insights

See where visitors engage, stall, loop, and leave.

UX Insights turns anonymous heartbeat and click data into engagement KPIs, drop-off patterns, back-and-forth navigation warnings, page tables, hourly traffic views, and CTA performance.

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UX Insights

Product workflow

Filter by brand, window, and device

Choose the site, date range, device segment, and thresholds that define meaningful engagement for the current analysis.

Read engagement KPIs at a glance

Track sessions, visitors, average steps, bounce rate, average engaged time, and experience score for the selected traffic window.

Spot confusing paths and weak CTAs

Find back-and-forth page loops, drop-off curves, leaky pages, top edges, and the calls-to-action visitors actually click.

Engagement Snapshot

Turn heartbeat data into a clear view of visitor behavior.

UX Insights helps teams understand whether visitors are exploring, bouncing, looping between confusing pages, or clicking the CTAs that matter.

Sessions

215

Total visits in the selected window.

Visitors

130

Approximate unique visitors observed.

Avg Steps

2.06

How deep a typical visit goes.

Bounce

80%

Sessions that stop after a shallow path.

Experience Score

10

A simple health signal for engagement quality.

Filters

Focus the report on the traffic segment you want to improve.

Pick a brand, date window, device, minimum visits, minimum engaged time, and exit-rate threshold before loading insights.

Load UX insights

Brand

Configurable insight filter

From date

Configurable insight filter

To date

Configurable insight filter

Device

Configurable insight filter

Minimum visits

Configurable insight filter

Minimum engaged seconds

Configurable insight filter

Minimum exit rate

Configurable insight filter

Behavior Diagnostics

Find the patterns behind bounce, confusion, and missed action.

Filters that match your analysis

Load insights by brand, date range, device, minimum visits, minimum engagement, and exit-rate thresholds.

  • Brand and date range
  • Device segment
  • Minimum visit threshold
  • Engagement and exit-rate filters

Pogo warnings

Frequent back-and-forth movement between pages reveals navigational ambiguity, overlapping content, or unclear primary CTAs.

  • Back-and-forth paths
  • Ambiguous journeys
  • Suggested action
  • CTA clarity prompts

Step survival

See how many sessions survive from step one to deeper steps so teams can understand where exploration collapses.

  • Drop-off curve
  • Path depth
  • Session survival
  • Funnel friction

Visits by hour

Understand when visitors arrive so teams can compare behavior by traffic window and campaign timing.

  • Hourly visit chart
  • Peak activity windows
  • Time-window analysis
  • Campaign context

Top edges

Review the most common page-to-page transitions to see the paths users repeat most often.

  • From and to pages
  • Transition count
  • Repeated loops
  • Navigation paths

Top CTAs

Identify which calls-to-action receive clicks, where they appear, and whether they create measurable improvement.

  • CTA labels
  • Click counts
  • Page source
  • CTR and improvement context

Page Prioritization

Know which pages deserve UX and CTA attention first.

Page tables separate high-traffic pages, sticky-but-leaky pages, and the pages with the highest exit patterns so teams can prioritize improvements.

Top Pages

High-traffic pages with visits, unique visitors, engaged time, and exit rate.

Sticky but Leaky

Pages that hold attention but still lose visitors before the next meaningful action.

Leakiest Pages

Exit-heavy pages that need better next steps, clearer CTAs, or expectation matching.

CTA Intelligence

See the calls-to-action visitors actually click.

The Top CTAs table shows page, CTA label, clicks, improvement count, and CTR so marketing teams can compare real action against intended journeys.

Example CTA leaderboard

HomepageExplore Brand Overview14 clicks
HomepageExplore UX Insights9 clicks
AboutHome7 clicks
Marketing leadersHome6 clicks
HomepageExplore Credibility Audit5 clicks

Workflow

Move from traffic data to concrete UX changes.

1

Choose a focused window

Select brand, dates, device, and thresholds so the report reflects the traffic you want to improve.

2

Read the health metrics

Use sessions, visitors, bounce, average steps, engaged time, and experience score to understand the baseline.

3

Investigate confusing paths

Review pogo patterns, step survival, top edges, and leaky pages to find where users hesitate or loop.

4

Improve CTAs and journeys

Clarify primary CTAs, merge overlapping content, strengthen next steps, and track whether clicks improve.

Filter by brand, window, and device

Choose the site, date range, device segment, and thresholds that define meaningful engagement for the current analysis.

  • Brand selector
  • Date window
  • Device filter

Read engagement KPIs at a glance

Track sessions, visitors, average steps, bounce rate, average engaged time, and experience score for the selected traffic window.

  • Sessions and visitors
  • Average steps
  • Bounce and experience score

Spot confusing paths and weak CTAs

Find back-and-forth page loops, drop-off curves, leaky pages, top edges, and the calls-to-action visitors actually click.

  • Pogo patterns
  • Step survival
  • Top CTAs

Start with the page that matters most

Run a scan on your homepage, pricing page, product page, or highest-value landing page.

Run a free scan