Packaged Analytics Models Actionable Customer Insights

Derive actionable customer insights out-of-the-box to augment marketing decisions for driving customer engagement.

Packaged Analytics Models

ADAPTIVE COGNIZANCE

Proprietary model prioritizes and recommends offers based on historical and contextual usage behavior of customers.

CHURN PROPENSITY

Supervised machine learning model predicts customer propensity for attrition based on historical usage patterns.

REVENUE UPLIFT FORECAST

This machine learning model forecast revenue estimates for on-going campaigns based on historical performance.

MULTI-VIEW CLUSTERING

This model allows automated grouping of customers based on different attributes and provides an interactive view of clusters formed.

PRODUCT AFFINITY

Machine learned recommendation of next best product that a customer is most likely to buy based on his historical and contextual usage behaviour.

SENTIMENT ANALYSIS

Aspect based sentiment analysis model identifies positive and negative sentiments of customers by analyzing unstructured text like social media posts, customer reviews and email.

Benefits

Quick hassle-free execution of analytics models
Smarter marketing decisions to optimize customer value
Faster insights-to-actions cycle time
Better business outcomes from proven models
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