Customer Analytics

Customer Analytics is a suite of jumpstart use cases that enable customers to use data for decision-making through data-driven actionable insights. It applies machine learning to data to generate insights and build customer and/or product strategy. A customer Analytics solution can address various scenarios as highlighted below. 

Customer Segmentation  

Customer Segmentation uses machine learning algorithms to segment customers into groups that are relevant from a business perspective. Businesses can get a  closer view of customer preferences, demographics, purchasing behavior, and related customer dynamics which will aid in planning for the next best actions including special offers, campaigns, retention strategies, and personalized pricing. 

Customer Experience Analytics 

Customer Experience Analytics measures and analyzes various customer touchpoints with the organization and customer engagement through different channels throughout the customer lifecycle. 

Customer 360 

Customer 360 provides a complete view of the Customer including demographic profile, historical interactions, lifetime value, and recommendations that can be made to the customer for future products.   

Campaign Analytics 

Campaign Analytics jumpstart solution enables customers to use machine learning to identify prospects for a marketing campaign. This solution can be used to optimize Marketing spend through ROI optimization. 

Customer Churn 

Customer Churn prediction uses advanced machine learning algorithms to identify customers who are likely to churn. This enables marketers to proactively reach out to these customers for defining retention strategies. 

Customer Service Analytics 

Customer Service Analytics provides the ability to view customer’s interactions with the service departments. Segment customers based on their interactions. Analyze the most important issues raised by customers through analysis of the customer interactions. 

Customer Recommendation Engine 

Customer Recommendation Engine uses machine learning to identify recommendations for products and services that the customer is likely to purchase. 

Cross-Sell and Upsell Analytics 

Cross-Sell and Upsell Analytics identify opportunities to cross-sell and upsell products and services to customers. 

Strategy Maps 

Strategy Maps applies Strategic frameworks such as BCG Growth-Share Framework for building strategy for customer segments, products, and services.  



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Why Us ?
  • We are a leader in adopting latest AI and Advanced analytics practices for enabling Customer insights and driving tangible business outcomes. 
  • Business value created for our clients in various industries in enhancing Customer Value and deriving measurable business outcome through Customer Analytics  
  • Partnerships with leading platforms to provide the off-the-shelf capability. 
  • Dedicated Center of Excellence for AI & Advanced Analytics. 
  • Implementation experience with most of the leading and niche areas in AI and analytics.
Get in Touch
Americas & Canada
Coforge Inc.

New Jersey

502 Carnegie Center Drive
Suite #301
Princeton, NJ 08540
Ph: 770-290-6113

Coforge UK Ltd.

2nd Floor, 47 Mark Lane,
London - EC3R 7QQ, U.K.
Ph: 770-290-6113
Fax: +44 (0) 20 70020701

Coforge Ltd.

SEZ Developer Unit

Plot No. TZ-2 & 2A, Sector Tech Zone,
Greater Noida, UP 201308, India
Ph: +91 (120) 459 2300
Fax: +91 (120) 459 2301

Rest of the World+
Rest of the World
Coforge Ltd.

SEZ Developer Unit

Plot No. TZ-2 & 2A, Sector Tech Zone,
Greater Noida, UP 201308, India
Ph: +91 (120) 459 2300
Fax: +91 (120) 459 2301

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