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PROJECT 019 / 102 · Marketing

Previous campaign outcomes.

Do prior successful campaign records identify a different response population?

Focused analytical studyBank marketingExecuted notebook

THE RESULT

What the data shows

The largest computed metric is 0.6473 for success; the smallest is 0.09162 for unknown. Metric: rate (Subscription share).

Unknown prior outcomes remain separate from failure. Historical success is an association, not a guarantee.

Previous campaign outcomes — chart from the computed study output
Computed study output. Full values and units are available in the results download.
Computed results · 4 of 4 rows. Values rounded for display; source units and raw column names are retained in the download.
poutcomeeventsnratewilson lowerwilson upper
failure6184,9010.12610.11710.1357
other3071,8400.16680.15050.1846
success9781,5110.64730.62280.6709
unknown3,38636,9590.091620.088720.0946
Download the complete result table ↓

THE METHOD

From source to answer

Response rates by recorded previous outcome.

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

Review how prior engagement should enter a future campaign experiment.

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.