Don't Need to be 100% Right Just Predictably Right

Predictive analytics are a prediction of a customer’s actions. They are an improvement over present tools.

Similarly, ERM and CRM systems do not create 100% correct forecasts. They are an improvement over the tools prior to these systems. They improve the decision and thereby improve profits.

A recommendation engine creates a more accurate prediction and leads to better decisions. The engine increases the chances of targeted communication and matching customer’s needs over a non-predictive based system. “Predictably right” lowers costs of communication and improves revenue by more closely matching the customer’s actions.

Predict Customer Actions

The better a system can determine the customer’s actions, the better the company can target the customer. A recommendation engine can predict the customer’s actions and increase profits.

For example, a company can lower its costs of customer acquisition by knowing which customers will become repeat customers through the offer of a coupon. The system can determine the 60% of customers who will become repeat customers. The targeting of this set rather than all customers lowers the costs and improves revenue on the 40% of customers who are inclined to become repeat customers without a coupon offer.