Come posso utilizzare i dati sulle interazioni con i clienti per guidare la strategia di comunicazione?

Question

Ho dati su miei clienti (età, luogo, di genere) e il numero di interazioni con il cliente per canale (#calls, #sms, #letters) e dati su se hanno acquistato un prodotto (sì / no).

desidero predire quale combinazione di interazione (ad esempio 3 chiamate, 2 lettere) è l'approccio migliore quando contattando diversi tipi di clienti. Quale sarebbe una tecnica appropriata di apprendimento / automatica statistica da utilizzare per calcolare questo?

Answer 1

I would do the following:

First, cluster your customers into several groups, based on age, location, gender etc. Second, for each group, use different combination of interaction as features to predict 'yes/no', and select which combination of interaction performs best.

Answer 2

This is how you can approach this problem:

1. Customer Segmentation: Segment each customer as a separate data point, and if possible have another project for clustering the customers depending on various factors (Example: Depending on geographical regions, age, etc). This would help in simplifying the problem statement and narrowing it too.
2. Now choose the best combination: Now after segmentation, choose the best(average) combination of interaction mechanisms needed to be implemented for customer conversion. The mean would answer you the question: What is the average number of interactions by different media taken by a customer before he/she is converted

Bonus: In addition to calculating the mean, calculating the median also helps, as it helps in fixing skew due to overly compulsive customer reps who interact a bit more frequently than some, and difficult customers. Useful reference