bcg -永远在线保留 人工智能如何重新布线保险增长 Always-On Retention How AI Is Rewiring Insurance Growth

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INSURANCEINDUSTRY

BCG

Always-OnRetention:HowAIIsRewiring

InsuranceGrowth

By

CarlosPrádanosNiño

,

AngeloCandreia

,and

TobiasHofer

ARTICLEMAY21,202612MINREAD

lnsurerssaytheyarepursuinggrowth,buttheirstrategiesoftensuggestotherwise.Mostcarriersremainfocusedonwinningnewpolicyholders.Theeconomicsarenotontheirside.lnsurers

typicallylosemoneyintheearlyyearsofacustomerrelationshipandonlyrealizeprofitsovertime.

Retentionisthemorepowerfulsourceofvalue.Extendingcustomerlifetimeisworthmorethanreplacingchurnwithnewbusiness,yetitremainspoorlymanaged.lnmanydistribution

organizations,retentionisstillreactiveandagentled,guidedbyintuition,broaddiscounting,andlimitedvisibilityintocustomervalueorchurnrisk.Theresultisfamiliar:marginserodeand

performancevarieswidely.

Al

changesthedistributionequation.AsinsurersmovetowardAl-assisteddistribution,the

technology

enablespersonalized,real-timedecisions,shiftingretentionfromnegotiationtooptimization.Salesagentscanfocusonwhichcustomerstoretainandhowmuchitisworthspendingtokeepthem.Atthecenterofthisapproachisaretentionintelligenceenginethatcombinescustomervalue,churnrisk,andofferoptimizationtoguideactions.

Earlyresultsarepromising.Someinsurersreportmargingainsofupto30%onpoliciesmanagedthroughAl-drivenretention,supportedby5%to10%improvementsinretentionanda20%to

30%reductionindiscountleakage.

Whetherthesegainsprovedurablewilldependlessontechnologythanonhoworganizationschangetheirdecisionmaking.ThemarketleaderswillbethosethatturnAlfromasetoftoolsintoasystemthatpersonalizescustomervaluemanagement.

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FromCampaignstoAlways-OnValueCreation

Mostinsurersstillmanagecustomervalueepisodicallythroughrenewals,adhocwin-backs,andstaticsegmentation.Actionsaretriggeredbyeventsratherthandrivenbycontinuousinsight,anddecisionsareoftenmadeinisolation,withlimitedfeedbackonwhatworks.

Thismodelisincreasinglyoutofstepwiththeeconomicsofthe

insurance

businessandcustomerexpectations.Insurersfacestructuralgrowthpressurecausedbyrisingacquisitioncosts,tightermargins,andfragmentedomnichanneljourneys.Atthesametime,customerscanswitchcarriersmorefreelyandincreasinglyexpectseamless,relevantexperiencesandinstant

personalization.

Analternativeisemerging.Insurancedistributionisshiftingto

AI-augmentedand,increasingly,AI-

assistedapproaches

.Earlyusecasessupportindividualdecisions;moreadvancedapplicationsaretakingonentireactivities.Thistransitionenablesacontinuous,AI-drivenapproachinwhicheveryinteractionbecomesanopportunitytocreatevaluethroughpersonalization.Insteadof

periodiccampaigns,insurersoperatealways-onsystemsthatanticipatecustomerneeds,prioritizeactions,andadaptinrealtime.

Deliveringthisshiftrequiresanintegratedoperatingmodelthatconnectsdata,decisionmaking,andexecution.(SeeExhibit1.)Aunifiedcustomerdatafoundationfeedsintelligentdecision

engines;these,inturn,drivepersonalizedactionsacrosschannels.Everyinteractiongeneratesfeedback,enablingthesystemtolearnandimproveovertime.

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Theadvantagearisesfromembeddingdecisionintelligenceintothecoreofthecommercialmodel,sothatcustomervalueiscontinuouslyoptimizedratherthanperiodicallymanaged.Amongtheapplications,retentionstandsoutasthehighest-impactopportunity.

RetentionIsanUnderestimatedGrowthLever

Manyinsurersunderestimatethevalueofretentiondespiteitsdisproportionateimpacton

growthandprofitability.Inmostinsurancebusinesses,newpoliciesareunprofitableintheearlyyearsbecausecommissions,marketingcosts,andclaimsexceedpremiums,whileprofitability

riseswithcustomertenure.Asaresult,evensmallimprovementsinretentionhaveanoutsizedeffect—liftingcustomerlifetimevalueanddrivinggrowth.A1percentagepointincreasein

retentiondeliversgrowthcomparabletoa15%increaseinnewbusiness.(SeeExhibit2.)

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Retention,however,meansmorethanmanagingcancellations.Itincludesproactivelyidentifyingcustomersatrisk,addressingpaymentdefaults,andcapturingearlysignalsofdisengagement

beforechurnoccurs.Managingtheseriskseffectivelyrequiresacontinuousviewofcustomerbehavioracrossthelifecycle.

Inpractice,mostinsurersfallshort.Frontlinesalesagentstypicallyoperatewithlimitedvisibilityintocustomerlifetimevalue,churnrisk,andunderlyingdrivers.Theyoftenbaseretention

decisionsonintuitionratherthanaclearunderstandingoftradeoffsbetweendiscountcostandlong-termvalue.Thisleadstoinconsistentactions,unnecessaryconcessions,andsignificant

marginleakage.

Theconsequencesarevisibleinthelargedifferencesinperformanceacrosschannels.(See

Exhibit3.)Somesalesagentsretaincustomersefficientlywithdisciplineddiscounting,while

othersrelyonexcessiveconcessionsorinconsistentargumentation.Evenwiththesametools,outcomesvarysignificantly,anindicationthatretentionismanagednotasasystembutasaseriesofindividualdecisions.

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ReimaginingCustomerRetentionwithAI

Amoreeffectiveapproachistomanageretentionasavalueoptimizationproblem.Bycombiningcustomer-levelinsightswithpersonalizedAl-drivendecisions,insurerscanprioritizetheright

customers,selectthemosteffectiveactions,andbalanceretentionoutcomesagainsteconomiccost.

Thisshifttransformseachstepoftheretentionprocess.(SeeExhibit4.)lnsteadofrelyingon

fragmented,policy-levelinformation,insurersdevelopacomprehensive,customer-levelview

enrichedwithbehavioraldata.Ratherthandiagnosingchurnthroughstandardizedquestions,Alidentifiesboththelikelihoodofchurnanditsunderlyingdrivers.Andexpertise-basedadviceis

replacedwithpersonalizedrecommendationsanddynamicguidancetailoredtoeachinteraction.

Bycombiningacomprehensiveviewofthecustomerwithreal-timeinsightsintochurndrivers,Alsystemsgeneratetailoredtalkingpointsandrecommendationsthathelpsalesagentsaddress

therootcausesofacustomer’sdissatisfaction.Thesedata-drivenpromptsenablemorerelevant,personalizedconversations,allowingagentstoresolveissuesandreinforcevaluewithout

immediatelyresortingtofinancialincentives.Thisnotonlyimprovesthecustomerexperiencebutalsoincreasesagentconfidenceandreducestheneedfordiscounting.

Whencommercialactionsarerequired,Aloptimizeshowtheyareselected.Ratherthanleaving

discountingandofferdecisionstoindividualjudgment,Alsystemsevaluatecustomervalue,churnrisk,andresponselikelihoodtodeterminethemosteffectiveactionandsequenceofoffers.This

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allowsinsurerstoprotecthigh-valuecustomerrelationshipswhilereducingunnecessaryconcessions.

Thesecapabilitiesaredeliveredthroughbionictoolsembeddedinfrontlineworkflows.Sales

agentsanddigitalchannelsreceiveprioritizednext-bestactions,supportedbyreal-timeguidanceandGenAlcopilotsthatadapttothecontextofeachinteraction.

TheRetentionIntelligenceEngine:TurningAIinto

EconomicPrecision

Atthecoreofthisshiftisaretentionintelligenceengine,anintegrateddecisionsystemthat

determinesthemosteffectiveactionandtheappropriatelevelofinvestmentforeverycustomer(thefourthstepinExhibit4).Theenginecombinesseveralpredictivelayers:

Acustomerlifetimevaluemodelestimatestheeconomiccontributionofeachpolicy,ensuringthatretentioneffortsareprioritizedwherevalueishighest.

Achurnpropensitymodel,enrichedwithroot-causeexplainability,anticipatescancellationriskandidentifiesitsdrivers—suchaseconomicpressure,dissatisfaction,orlowproduct

usage.

Apromotionresponsemodelpredictsthelikelihoodthatspecificofferswillbeaccepted,enablingpersonalizedratherthangenericinterventions.

Theseinputsconvergeinavalueoptimizationlayerthatselectsandsequencesactionsbasedonexpectedeconomicreturn.lnsteadofmaximizingtheprobabilityofretentionalone,thesystembalancescustomervalue,promotioncost,andlikelihoodofacceptance,ensuringthateach

decisionmaximizesoveralleconomicimpact.

Whatmakesthesystemespeciallypowerfulisitsabilitytolearn.Everyofferpresented,accepted,rejected,orescalatedfeedsbackintothemodels,continuouslyimprovingprecisionovertime.

Retentionbecomesaself-reinforcingsysteminwhicheachinteractionsharpensfuturedecisions.

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MakingItWorkatScale

AkeychallengeinscalingAI-drivenretentionisensuringthatdecisionsareexecutedconsistentlyacrossthedistributionorganization.Topreventvariability,insurersmustaligngovernance,

incentives,andexecutionaroundtheobjectiveofmaximizingcustomerlifetimevalue.Fivestructuralenablersarecritical:

GovernanceandDecisionFrameworks.Clearownershipacrossthedistributionorganizationensuresthatretentionismanagedasavalueleverratherthanareactivetask.Standardizeddecisionrulesreducedependenceonindividualnegotiationstyleandenableconsistent

executionacrosschannels.

PerformanceTrackingandTransparency.Structuredscorecardsatthechannel,office,and

agentlevelprovidevisibilityintoretentionoutcomes,discountdiscipline,andvaluecreation.Transparencyexposesperformancevariations,enablesbenchmarking,anddrives

continuousimprovement.

IncentivesAlignedwithValue.Compensationmodelsmustrewardprofitableretentionratherthanvolume-basedrenewals.AligningincentiveswithcustomerlifetimevalueanddiscountefficiencyreinforcesAI-drivenrecommendationsandreducesmarginleakage.

CapabilityBuildingandTargetedImprovement.Individualizedactionplans,coaching,andcontinuousenablementhelpelevatelower-performingsalesagentsandaccelerateadoptionofbestpracticesacrossthenetwork.

SmartCaseAssignmentandAutomation.Intelligentroutingandclearallocationrules

ensurethattherightpeopleareassignedtohandlecomplexorhigh-valuecases.Automationreducesexecutionvariabilityandembedsconsistentdecisionmaking.

RewiringRetentionforStructuralAdvantage

Whentheseenablersevolvetogether,retentionbecomesastructuralcompetitiveadvantage.Theimpactisalreadyapparentinleadingorganizations.Improvementsinretentionperformanceandreductionsindiscountleakagearetranslatingintosubstantialmarginuplift.

Personalizationincreasespromotionacceptancerates,whilestandardized,AI-drivendecisionmakingreducesperformancevariationsacrosschannels.Asvariabilitydeclinesanddecision

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qualityimproves,retentionbecomesmoreefficientandpredictable.Overtime,theeffectcompounds.Eachinteractionfeedsbackintothesystem,improvingmodelaccuracyand

sharpeningdecisionmaking.Whatbeginsasincrementalimprovementevolvesintoaself-reinforcingcycleofincreasingprecisionandeconomicefficiency.

However,theseresultsdonotcomefrommodelsalone.Theydependoncombiningarobust

customer-leveldatafoundation,tightlyintegrateddecisionengines,frontlinetoolsthatembedAIintodailyinteractions,andthegovernanceandincentivesneededtoensureconsistent

execution.

WithAI-drivenpersonalization,retentionisnolongerareactiveleverbutacorecapability.

Insurersmovefrommanagingchurnepisodicallytooptimizingcustomervaluecontinuously,witheveryinteractionguidedbydataandalignedwitheconomicoutcomes.Thisshiftstrengthens

decisionqualityandembedsdisciplineintofrontlineexecution.Theresultisnotjustbetterretentionbutamoreresilientandpredictablegrowthengine.

AngeloCandreia

ManagingDirector&SeniorPartner

Zurich

Authors

CarlosPrádanos

Niño

ManagingDirector&PartnerMadrid

__'

Tobi