THE RESULT
What the data shows
The largest computed metric is 0.1492 for cellular; the smallest is 0.04071 for unknown. Metric: rate (Subscription share).
Unknown is retained as its own category. Channel assignment was not randomized.
| contact | events | n | rate | wilson lower | wilson upper |
|---|---|---|---|---|---|
| cellular | 4,369 | 29,285 | 0.1492 | 0.1452 | 0.1533 |
| telephone | 390 | 2,906 | 0.1342 | 0.1223 | 0.1471 |
| unknown | 530 | 13,020 | 0.04071 | 0.03745 | 0.04424 |
THE METHOD
From source to answer
Group conversion rates with Wilson intervals and sample sizes.
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
Use the observed differences to design a channel experiment, accounting for who receives each contact.
Where the conclusion stops
Observational marketing records do not identify campaign uplift. Month and row order are not precise timestamps; repeated-client identifiers are unavailable. Models are research diagnostics, not financial eligibility or automated contact decisions.
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.