ThinkAnalytics - Enhance Customer Loyalty

Whitepapers & Factsheets

Enhance Customer Loyalty

Customers in today's economy are driving business relationships. With a few clicks of a mouse, customers access information about competitive products and services basing their decisions on price, length of agreement, consumer reviews and functions. The challenges associated with succeeding in e-commerce are great, and the requirements to satisfy customers and gain new business are mounting. Companies that effectively lead the competition in the e-Commerce world are those armed with customer preference knowledge and other pertinent information required to satisfy customer needs.

Based on competitive e-commerce dynamics, customer migration periods are constantly being reduced. And even though the cost of acquiring a customer can be less on the Internet, the need to retain customers has never been greater.

Q. What do you need to compete effectively in business ?

A. You need a solution that addresses complex customer dynamics. The volume of data, speed of response, ability to change and the need for intelligent automatic processes are exemplifying demands not typically found in traditional customer-focused organizations but are critical components of today's customer-centric business world.

Customer Loyalty

If executed appropriately, corporate loyalty and retention programs will significantly impact the bottom line, including cost reduction, profitability and shareholder value.

ThinkAnalytics provides a complete customer understanding of critical factors, including propensity to buy, respond, and defect. With the predictive intelligence of ThinkAnalytics, you can detect and highlight customers at risk, identify business value, and model effective and varied retention programs in response.

ThinkAnalytics' Products Feature:

Automated retention distribution analysis - profile customer base at risk over time.
Customer loyalty analysis.
Retention/customer segmentation analysis.
Current customer value analysis.

Future customers at risk predictability/analysis.
Customer loyalty modeling.
Profitable customer group retention program analysis.
Low-risk profitable customer grouping analysis.
Customer retention analysis by segment, product and channel.
Customer analysis by propensity to buy, web content selection and look-to-buy factors.
Customer loyalty factors linked with customer behavior, purchasing trends and demographics.
Customer target list generation for marketing campaigns.
Customer loyalty model deployment to CRM front-office and e-commerce
solutions enabling real-time customer risk analysis.