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Forecasting Customer Switching and Churn

Datamonitor
May 9, 2003
174 Pages - Pub ID: DFMN894657
 
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Abstract

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Forecasting Customer Switching and Churn

 
Introduction
Depressed market conditions and the overriding influence of customer inertia ensure the necessity for key decision makers to understand switching potential within their market. The report is an invaluable resource for maximizing sales and marketing returns and targeting the customer groups that matter.

Scope
Delivers detailed historical switching data and analysis for four leading residential deregulated markets: The Netherlands, the UK, Germany and Spain

Provides analysis of what has driven switching, detailing: price, marketing, direct sales, new entrant activity and M&A activity

Using a robust methodology, it constructs switching forecasts to 2006 within different switching environments for each national market

It delivers an understanding of switching potential within each market, analyzing potential supplier strategies under each scenario

Report Highlights
Analysis of historical switching within the four country markets examined has included some of the key insight detailed below: The UK: churn which currently forms 34% of the switching rate, will form a greater influence upon, not only switching levels, but relevant supplier strategy.

Germany: 1.8 million customers have switched by June 2002. This amounts to 4.7% of the 40 million strong residential market after four years of competition.

Forecasting analysis produces an example of the following insight: The Netherlands: The switching rate described within the “High” scenario amounts to 1,955,000 switchers in cumulative terms, by January 2006. This is an average monthly switching rate of 81,000,amounting to 29% of the Dutch residential market.

Reasons to Purchase
Historical switching: the report is populated with country-specific, historical data. This gives market insight and assesses switching potential

Market analysis: understanding of switching drivers provides answers as to what has influenced customer behavior towards supplier S&M strategies

Switching forecasts: “High”, “Medium” and “Low” forecast scenarios contain future switching data. This allows the reader to plan with confidence


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