At a glance
Landing Page Performance vs Quick-Back pairs how fast each landing page loads and performs with the rate at which visitors bounce straight back to where they came from. Microsoft Clarity captures the quick-back behaviour from real sessions, so when a slow page sits next to a high quick-back rate you can see the cost of poor performance per page. For merchants, it is a direct map of which entry points are losing visitors before the store gets a chance.
| What it counts | A per-landing-page table pairing page load and performance with the Clarity quick-back rate. |
| Sample type | Behavioural session data from Microsoft Clarity (heatmaps and session recordings), refreshed on the standard data refresh. |
| Why it matters | Slow landing pages that also show high quick-back are bleeding entry traffic before visitors engage. |
| Reading the value | Rows where weak performance and high quick-back co-occur are the pages losing the most visitors on arrival. |
| Currency | count |
| Time window | 30D |
| Alert trigger | slow page + high quick-back co-occur |
| Sentiment key | clr_xc_landing_page_perf_vs_bounce |
| Roles | owner, marketing |
Calculation
Vortex IQ joins the quick-back behaviour Microsoft Clarity captures per landing page with the page load and performance data for the same pages, then lays both out in a per-page table over the selected window. The quick-back side reflects what Clarity observes; the performance side comes from page timing data, not invented metrics. See At a glance for the headline definition and the worked example below for a representative reading.Worked example
A representative reading of Landing Page Performance vs Quick-Back for a typical merchant on Microsoft Clarity. Over the 30 days to 12 Mar 26, the table might show a paid-campaign landing page loading slowly with a 48% quick-back rate, while your faster pages sit nearer 20%. That co-occurrence flags the slow page as a likely cause of wasted ad spend, since visitors leave before the page is usable. Use Vortex Mind to trace whether the slowdown is recent and which element delays it, then ask Ask Viq in plain English to rank landing pages by combined slowness and quick-back so you fix the worst first.Sibling cards merchants should reference together
| Card | Why merchants reach for it |
|---|---|
clr_quick_back_rate | The store-wide quick-back signal this table breaks down per landing page. |
clr_xc_funnel_vs_ecom_conversion | Shows whether quick-back losses on entry pages feed into a wider conversion gap. |
clr_xc_traffic_source_vs_revenue | Connects underperforming landing pages to the sources and revenue they affect. |
clr_javascript_errors_detected | Script errors on a landing page often drive both slow performance and quick-backs. |
clr_avg_page_engagement_time | Confirms whether visitors who do stay are engaging or still leaving fast. |
Reconciling against Microsoft Clarity
Where to look in Microsoft Clarity’s own dashboard: Use the recordings and Dashboard insights filtered to each landing page to confirm the quick-back behaviour, but note the page performance side comes from page timing data rather than Clarity. Confirm the period and any device, channel, or bot filters match the Vortex IQ profile before comparing. Why the Vortex IQ value may legitimately differ:| Reason | Direction | What to do |
|---|---|---|
| Period boundary. Vortex IQ uses rolling windows by default; Clarity may use calendar periods. | Variable | Match the period range. |
| Sampling. Clarity may sample sessions on high-traffic sites; Vortex IQ reads what Clarity exposes. | Variable | Allow for sampling on busy stores. |
| Filter scope. Profile-level filters (device, channel, bot exclusion) may narrow the Vortex IQ view. | Variable | Match filter settings. |