Customer Churn Prediction
Affordable property management software solutions designed for community associations, property managers, and development companies. These tools streamline operations, enhance communication, and simplify the management of properties, all while keeping costs down.
Business
OUTCOMES & BENEFITS
of customer churn analysis
Diminishing customer base
Revenues decrease
Customer complaints & inquiries increase
INDICATORS
of customer churn
Developing a customer retention strategy
Creating a cross-selling and up-selling strategy
Customer behavior forecasting
Client base segmentation
Steps to reduce
CUSTOMER ATTRITION
Step #1
Estimating customer churn probability and assessing business risks associated with customer churn.
Step #2
Create a decision-making model for managing customer churn that focuses on Customer Lifetime Value (CLTV).
Step #3
Identify client segments that are at a higher risk of churn and create tailored customer retention plans for each segment. For instance, a retention plan for a segment of long-term customers might include personalized outreach, exclusive offers, and loyalty rewards to enhance engagement and satisfaction.
SEGMENT
ACTION
The likelihood of purchase is higher than 50%, particularly among the top three customer deciles.
Email and phone outreach.
The likelihood of purchase exceeds 25%, especially among the top five customer deciles.
Customers in the lowest deciles exhibit low purchase probability.
No advertising
DATA SOURCES
FOR CUSTOMER CHURN ANALYSIS
