Keywords: Journey Analytics, Churn Analysis, Customer Lifetime Value, Dynamic Segmentation, Clustering, Pattern Matching
Calculating how much to spend on acquisition and retention is something of a black art. If too many customers are lost, revenues will plummet. If too much is spent, margins will suffer unduly. But big money is at stake.
Recent research studies show that the average service provider in a mature market typically spends 15-20% of service revenues on acquisition and retention activities.
Discover how Machine Learning can help...