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Home » Competencies » Analytics » CRM Analytics
CRM Analytics
Nuevora’s CRM Analytics solutions leverage customer transactional data from multiple sources to deliver predictive and actionable insights. Nuevora consolidates and standardizes data from multiple customer touch points including web, store fronts, telephone, etc. and across functional groups (sales, marketing, and customer service) to deliver a single and unified view of the customer. Using which, Nuevora analysts build advanced analytical models and deliver crucial insights into customer behavior, profitability, churn, product propensity, transaction frequency, willingness to pay, life-time value, communication preference, etc.
Some examples of CRM Analytics solutions include:
Customer Segmentation
Use of various segmentation techniques (transaction volumes, spend patterns, payment histories, etc.) to identify clusters of customers to devise actionable strategies resulting in newer product innovation, better customer retention, precise credit risk assessment, increased activation levels of unused plastic, better product portfolio design, increase in frequency of transactions, increase in spend per transaction, etc.
Customer Life-Time Value Analytics
Estimate the potential value and relationship length of every customer to ensure maximization of value to the firm.
Customer Up-Sell / Cross-Sell Analytics
Based on propensity-to-buy models, target the right customer with the right product at the right time through the right channel to increase wallet share of each customer to the bank while saving the unwanted marketing spend.
Customer Behavioral Analytics
Profile customers based on behavioral coordinates to help forecast delinquencies, promote right products, prevent churn, etc.
Campaign Optimization Analytics
Analytical response modeling enables precise design of campaigns resulting in increased responses from customers while reducing marketing spend and maximizing wallet share; build cross-sell & up-sell response models. Increase switching costs while decreasing acquisition cost per customer.
Customer Churn / Loyalty Analytics
Customer churn analytics empowers your organization by predicting likely churners based on the transactional history, payment patterns, customer service call data, etc. It enables organizations to compete effectively in fiercely competitive industries by predicting churn and successfully retaining their customers. Our churn analytic solutions enable you to predict & prevent attrition, identify most profitable and loyal customers, and enhance the stickiness of every customer.
Risk Analytics
Risk assessment analytics can predict potential defaulters and facilitate implementation of proactive collection strategies as well as better credit evaluations for future applicants. Maximize customer acquisition and retention while minimizing risk and fraud. |
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