Choose a churn intervention from a fixed outreach budget. Compare the models at that capacity, explain the error costs and decide where language processing could help.
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Fictional churn planning exercise. A time-held-out set has mature 30-day churn labels; all features were available at prediction time. Each model selects the same outreach population size.
| Accounts | 10,000 |
|---|---|
| Observed churners | 800 |
| Outreach capacity | 500 |
| Usage rule | 150 true churners in the 500 selected accounts. |
| Tabular model | 220 true churners in the 500 selected accounts. |
| LLM on serialized records | 190 true churners in the 500 selected accounts. |
| Unknown | The effect of outreach on retention has not been measured. |
Your task. Choose a model and an intervention pilot. Calculate precision, recall and F1 at the supplied capacity, identify leakage risks and explain what would change your decision.
Choose a churn intervention from a fixed outreach budget. Compare the models at that capacity, explain the error costs and decide where language processing could help.
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