THE RESULT
What the data shows
The largest computed metric is 0.2491 for New_Visitor; the smallest is 0.1393 for Returning_Visitor. Metric: rate (Purchase-session share).
Visitor labels do not identify individual customers or lifetime value.
| visitortype | events | n | rate | wilson lower | wilson upper | median product pages | median product seconds |
|---|---|---|---|---|---|---|---|
| New_Visitor | 422 | 1,694 | 0.2491 | 0.2291 | 0.2703 | 13 | 414.2 |
| Other | 16 | 85 | 0.1882 | 0.1193 | 0.2841 | 5 | 136.5 |
| Returning_Visitor | 1,470 | 10,551 | 0.1393 | 0.1328 | 0.1461 | 19 | 655.5 |
THE METHOD
From source to answer
Conversion intervals joined to median product-page engagement.
The Python source exposes this study’s transformations. The complete project download includes shared preparation and evaluation routines.
THE NEXT DECISION
What follows from the finding
Separate retention and acquisition hypotheses before designing an experiment.
Where the conclusion stops
One observation is a completed session. End-of-session behavior cannot support an early-session prediction claim. PageValues is excluded from purchase models because it can encode downstream purchase information. Associations are not experiment results.
Related studies may reuse observations or holdouts. These are historical analyses; associations and backtests do not demonstrate commercial impact. Further model tuning needs new, untouched evaluation data.