Delivering the right criteria and message at the right time builds profitable, long-term customer relationships.
Angoss predictive analytics software and solutions provide insights into the key drivers of customer behavior needed to create sales and marketing strategies that address your customers’ varied needs. By examining historic customer, product and transaction data, Angoss defines the right targeting criteria and messaging mix to improve customer retention and loyalty.
Customer Retention – Optimize customer value and profitability for individual customers or customer segments that are differentiated to warrant distinct treatments. Predictive strategies define the “rules of engagement” to help ensure that your customer’s unique needs are met.
Lifetime Value – Applying predictive models to historical data provides deeper insight into customer purchase characteristics and trends. This data is then used to predict future customer activity and its potential value. Understanding customer lifetime value allows you to make better decisions such as how to allocate marketing spend.
Win Back – An alternative approach that is often less costly and more effective than customer acquisition is to target dormant or past customers. They already have an affinity for your products. With the right message and offer, they can be reactivated. Predictive models can identify past customers who are more likely to respond with recommended message, channel and offer.