**The two strongest relationships are bounce rate with exit rate (r ≈ 0.79) and page views with entrances (r ≈ 0.79). Everything else is weak or close to zero.** I computed Pearson correlations across all 15 pairs of the five numeric measures plus average time on page, using all 62,496 rows (step 1 and step 2). **Strong relationships** - **Bounce rate and exit rate (0.788).** Pages with a high bounce rate also tend to have a high exit rate. The two metrics are related by definition, since a bounce is a single-page session that ends on its entry page. Treat them as largely one signal rather than two independent problems. - **Page views and entrances (0.786).** Pages that get many views also tend to be the pages people land on. Traffic is driven by entry pages, which supports prioritising entry-page optimisation. **Weak relationships** - **Unique views and entrances (0.378).** - **Page views and unique views (0.332).** I expected these to be much closer, so the weak link is surprising. It may mean a few very high-volume pages dominate one measure but not the other, or that unique views are counted differently across sites. I did not check this. **Essentially unrelated (|r| < 0.08)** - **Average time on page** is uncorrelated with every other measure. Its closest links are exit rate (−0.071) and bounce rate (−0.045), both negligible. Time spent on a page does not predict whether visitors leave. - **Bounce and exit rates** are also uncorrelated with the volume measures (page views, unique views, entrances), with values between about −0.012 and 0. - In other words, page popularity says nothing about whether a page retains visitors. **Caveats** - These are Pearson (linear) correlations on page-level rows. Traffic counts are usually heavy-tailed, so a few very large pages could be inflating or masking some of these values. A rank-based (Spearman) correlation would be a useful check. - I only tested numeric columns. I did not measure how strongly WEBSITE or YEAR relate to the metrics, and differences between sites could be a bigger driver of bounce and exit rates than any pair above.