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Churn Management in Mobile Communications Led by Dr. E. Xevelonakis

Presentation Churn Management

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Page 1: Presentation Churn Management

Churn Management in

Mobile CommunicationsLed by

Dr. E. Xevelonakis

Page 2: Presentation Churn Management

Definitions

ChurnTerm used to describe customer attrition or loss

Churn rateThe number of participants who discontinue their use of a service divided by the average number of total participants during a period

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Growth rates worldwide

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Reasons for churn

Easy to switch providerDifficult to manage the customer data Inadequate servicesQuality of servicePlenty of attractive offersCustomer dissatisfaction

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Types of churn

InvoluntaryInternalVoluntary

Need to focus

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Data Transformation

Data identificationData collectionValidation & CleaningTranspose to right granularityAddition of derived variablesPreparation of Model SetConduct Modelling

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Propensity to Churn

Changes in spending or payment patterns

Recurrent or multiple problems or queries

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Customer profitability calculation

completed callscall forwardingfailed callscustomer care callsvoice callsdirectory infodata calls

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Churn reduction

Identify customer’s valuePlan a profitable marketing strategyPoint out clients most likely to defectDevelop win-back policy for worthwhile customers

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Data Set & Variables (1/2)

Race / OriginCurrent AgeOccupationGeographic Locale or Major CityNumber of households at addressLength of serviceLifetime average minutes usage

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Data Set & Variables (2/2)

Average monthly calls (lifetime)Average monthly minutes (completed voice)Recent change in monthly minutes Days since last retention callRange of monthly recurring chargesHandset price

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Decision Trees or Neural Networks?

Decision treescustomer classificationeasier to use

Neural networkshidden pattern recognitionless costlymore advanced

Decision Trees

Neural Networks

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Premium customers

CharacteristicsLong duration / high cost callsDemand high quality of service

Churn due to network incapability / high costStrategy

Free talking time Gift mobile devices

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Classic customers

CharacteristicsExcessive SMS usageShort duration of callsUnstable user group

Churn due to competitors’ better offersStrategy

Special prepaid cardsSMS offersDiscounts in new handsets

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Strategy

Keep both groupsClassic customers represent clients’ majorityPremium customers have

high customer value

Design different market models for each group

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Past, present, future

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Latency effect

Need for immediate actionUndesired rise in churn ratesMore dissatisfied customers

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Telecommunications in Greece

1/1/1996 Deregulation4 major companies 3rd place worldwide in handset possession11,8 million connectionsLow usageElastic market13% of the market comes from data transmission

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Greek market strategies

Incentives to use new technologiesSpecial economic programsDiscounts in handsetsBilling discountsAdvertisement

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The End…

Thank you for attending our lecture!