THE RESULT
What the data shows
The largest computed metric is 0.277 for 8.0; the smallest is 0.05827 for 13.0. Metric: rate (Purchase-session share).
Source codes are retained without inventing channel names. Spend and attribution are absent, so ROI cannot be calculated.
| traffictype | events | n | rate | wilson lower | wilson upper |
|---|---|---|---|---|---|
| 8 | 95 | 343 | 0.277 | 0.2323 | 0.3266 |
| 20 | 50 | 198 | 0.2525 | 0.1971 | 0.3174 |
| 2 | 847 | 3,913 | 0.2165 | 0.2038 | 0.2296 |
| 5 | 56 | 260 | 0.2154 | 0.1698 | 0.2693 |
| 10 | 90 | 450 | 0.2 | 0.1657 | 0.2394 |
| 11 | 47 | 247 | 0.1903 | 0.1462 | 0.2438 |
| 4 | 165 | 1,069 | 0.1543 | 0.1339 | 0.1772 |
| 6 | 53 | 444 | 0.1194 | 0.09243 | 0.1528 |
| 1 | 262 | 2,451 | 0.1069 | 0.09527 | 0.1197 |
| 3 | 180 | 2,052 | 0.08772 | 0.07624 | 0.1007 |
| 13 | 43 | 738 | 0.05827 | 0.04354 | 0.07756 |
THE METHOD
From source to answer
Category conversion and uncertainty, restricted to 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
Investigate acquisition-channel composition before allocating a test budget.
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.