A leading national daily had run schemes for customer conversion. After the schemes
lapsed, they were contacting these customers for regular subscription and had a
varied response. Basis the outcome of 50,000 respondents, the client wanted to predict
the probable response for the remaining 1.5 million customers.
Using a mix of statistics and advanced analytics, beacon created a decision tool
with the following features
- Prioritize customers into behavior buckets which varied probability of conversion
- Define the days and times of the day where each bucket were likely to be more receptive
towards calls
- Suggest optimal allocation of tele-callers to maximize probability of conversion
The tool resulted in approximately 40% reduction in customer acquisition cost