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Overview
Ad-angle performance by utm_content
Engagement rate by ad
Week-1 decision gate (§8). Bars sorted high→low; session counts shown so small samples are obvious.
| Ad / utm_content | Channel | Sessions | Engaged | Eng. rate | Avg eng. time | Views/sess | Conv. |
|---|
No paid sessions recorded yet for this campaign.
Channels & trend
Sessions vs engaged, by channel
Daily trend
Audience & technology
Device
New vs returning
Top browsers / OS
Geography
Sessions by location
Campaign target: —
| Location | Sessions | Engaged | Flag |
|---|
On-target vs off-target / bot
Timing (when sessions happen)
Day × hour heatmap
Darker = more sessions. Useful for dayparting in the main campaign.
Landing pages
Performance by landing page (query strings stripped)
| Landing page | Sessions | Engaged | Eng. rate | Avg eng. time | Conv. |
|---|
Events
Event counts
Decision gate (§8)
⚠️ Directional message learning, not a statistically significant A/B test. M1-vs-M3 is confounded (different headline and landing page). GA4 is the source of truth.
On-page behaviour Microsoft Clarity · follows the channel & date filters (max 3 days)
How visitors actually behaved on the page
Friction signals from Microsoft Clarity for utm_campaign=test_jun2026.
Complements GA4 (what/how many) with behaviour (scroll, clicks, frustration).
Data quality & methodology
Method: all figures are GA4 session-scoped, filtered to
utm_campaign=test_jun2026, window
—. Engagement rate = engaged sessions ÷ sessions. Avg engagement
time = user-engagement duration ÷ sessions. Platform-reported numbers are intentionally not
used. Rates on <30 sessions are directional only.