Best timing for reaching customers

Customer contact boosted with 12%

We increased the probability of reaching a customer by phone or email by 12% for a client.

We used a predictive model that took customer characteristics into account to select the optimal timeslot. This data-driven time allocation replaced the legacy practice of calling the customer at randomly selected time slots.