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Newsletter, October 2009 - IDRBT

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Fast Forward<br />

<strong>October</strong> <strong>2009</strong><br />

Assess affinity to a product, service or<br />

message<br />

Learn how frequently to contact each<br />

customer<br />

Market basket analysis (cross-sell/up-sell)<br />

Multiple campaign response models<br />

Customer growth and profitability growth<br />

models<br />

Churn models<br />

Customer lifetime value<br />

Credit risk scoring<br />

Analytical CRM<br />

The data collected in operational management is<br />

analyzed to segment customers using various old<br />

and sophisticated data mining analytics. Analytical<br />

CRM is composed of the following components<br />

(i) Pattern discovery (ii) Product and customer<br />

analysis (iii) Multitude (iv) Sorting and customer<br />

fractionation and (v) Customer value evaluation.<br />

Thus, in a broad sense, data warehousing, online<br />

analytical processing, data mining and marketing<br />

constitute a CRM solution<br />

loyalty. It allows a company to synchronize and<br />

manage efficient, productive interaction with<br />

customers, prospects, partners and internal<br />

associates across all communication channels.<br />

The customers' viewpoint is taken care of at every<br />

transaction level thus enabling better service to the<br />

customer. Collaborative CRM also reduces web<br />

service costs by enabling web collaboration.<br />

Implementation of CRM<br />

To implement CRM, following factors need to be<br />

accorded due consideration:<br />

Interaction between customers and<br />

company should be made easy, which in<br />

turn enhances quick response to<br />

customers' request and suggestions<br />

Information about company like content<br />

of customisation, advantages of the<br />

company, benefits doled out to the<br />

customers should be given easy access.<br />

This establishes profitable relationships<br />

with the customers based on mutual trust<br />

and respect.<br />

A b u n d a n t s u p p l y o f c u s t o m e r<br />

information, which is integrated from<br />

different channels<br />

Analytical solutions provided for most companies<br />

are an integrated view of customer across all<br />

channels and applications such as campaign<br />

performance analysis, customer profitability<br />

analysis, cross selling and up-selling<br />

Customers' data should be updated along<br />

with passage of time.<br />

Having cordial relationship with other<br />

companies targeting the same customer<br />

Collaborative CRM<br />

segment. Thus, giving relevant solution to<br />

customers' need and increasing<br />

Collaborative CRM proposes the collaboration of acknowledgement to customers<br />

results obtained from various departments of<br />

enterprise like sales, technical support and Customers' data must be segmented for<br />

marketing and shares the information collected customization thereby tailoring the<br />

about customers. The objective is to improve the<br />

quality of customer service and increase customer<br />

company's product and services<br />

accordingly<br />

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