CHURN ANALYTICS

Why Churn Analytics is important:

As the competition among the industries is growing day by day, the cost of acquiring new customer is high when compared to retaining the existing customer. So it is advisable to highly competitive industries to concentrate on customer retention.

Features of Churn Analytics:

  1. Improved customer retention: eliminates the risk of churn by predicting it ahead
  2. Target Marketing: Identifies who are the relevant segments to prioritize in taking the marketing campaigns
  3. Churn Profiling: Provides information why customers are leaving
  4. Customer Satisfaction: Connect customer satisfaction information with all your other data to better understand customers and improve loyalty

Churn Determinants:

crunch analysis

Big data Analytics and Predictive Algorithms to determine churn:

Big Data analytics provides the opportunity to process and correlate new data sources and types with traditional ones, to achieve better results more efficiently and receive insights that will set alarm bells ringing before any damage has been done, so giving companies the opportunity to take preventive measures.

Benefits:

  • Minimize acquisition costs and increase marketing efficiency
  • Keep customers engaged and loyal over time
  • Decrease the likelihood that competitors will lure existing customers
  • Activate and strengthen the existing customer base
  • Detect customer value loss and react sooner
  • See the value of individual customer loss and create targeted strategies
  • Allow teams to analyse quickly and easily, with no dependence on IT

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Techwave IT Consulting Services & Solutions

Techwave IT Consulting Services & Solutions

Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations.