Customer Happiness Index
Customer Happiness Index is an advanced predictive analytics platform that can be used by Telecommunications Banking and Finance Retail to identify and measure key drivers that impact Churn, ARPU, CLV and NPS. Satisfaction scores can be automatically assigned to your entire customer base using advanced AI and Machine Learning to drive smarter business decisions.
Key drivers that impact Churn, ARPU, CLTV and NPS can be measured by accessing CHI. Customer segments based on churn risk, revenue uplift and NPS can be identified. The satisfaction levels of customers can be predicted by analyzing the net promoter score (NPS). The data normalization functionality can be utilized by the analyst to standardize data across multiple sources and encrypt sensitive data elements. Data Extraction, Data Transformation, Modeling & Simulation and Third Party Integrations are the key features of Customer Happiness Index. Data masking, analytics, data ingestion, customer retention campaign management, risk management, data processing, and more can be included in the software.
Key drivers that impact Churn, ARPU, CLTV and NPS can be measured by accessing CHI. Customer segments based on churn risk, revenue uplift and NPS can be identified. The satisfaction levels of customers can be predicted by analyzing the net promoter score (NPS). The data normalization functionality can be utilized by the analyst to standardize data across multiple sources and encrypt sensitive data elements. Data Extraction, Data Transformation, Modeling & Simulation and Third Party Integrations are the key features of Customer Happiness Index. Data masking, analytics, data ingestion, customer retention campaign management, risk management, data processing, and more can be included in the software.