A top Credit Card issuer was doing multiple campaigns round the year. It was faced with twin problems of list fatigue and low response rates, trying to answer strategic questions:
- Which offer to send?
- What price to offer?
- When to send?
- What sequence to follow?
- Which Channel to use?
- We deployed advanced modeling techniques to predict the response and volume across campaigns.
- We used Bayesian techniques to identify granularities in interaction effects – creating a channel optimization grid.
- We helped client design campaigns using DOE techniques.
Resulted in direct cost savings of ~30% to client. Incremental positive impact of $2-3 Mn on client’s bottom-line.