THE RESULT
What the data shows
The largest computed metric is 0.1963 for 10.0; the smallest is 0.04762 for 3.0. Metric: rate (Purchase-session share).
Numeric browser codes are not mapped to invented names. Differences do not prove a browser defect.
| browser | events | n | rate | wilson lower | wilson upper | median exit rate |
|---|---|---|---|---|---|---|
| 1 | 365 | 2,462 | 0.1483 | 0.1348 | 0.1628 | 0.02667 |
| 2 | 1,223 | 7,961 | 0.1536 | 0.1459 | 0.1617 | 0.025 |
| 3 | 5 | 105 | 0.04762 | 0.02051 | 0.1067 | 0.03279 |
| 4 | 130 | 736 | 0.1766 | 0.1508 | 0.2058 | 0.02399 |
| 5 | 86 | 467 | 0.1842 | 0.1516 | 0.2218 | 0.028 |
| 6 | 20 | 174 | 0.1149 | 0.07565 | 0.1709 | 0.0282 |
| 8 | 21 | 135 | 0.1556 | 0.1041 | 0.2261 | 0.03466 |
| 10 | 32 | 163 | 0.1963 | 0.1426 | 0.264 | 0.02222 |
THE METHOD
From source to answer
Conversion intervals among browser categories with at least 100 sessions.
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
Prioritize browser QA using real session evidence, then control for visitor and traffic mix.
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.