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