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The2026Marketing
IntelligenceReport
NewresearchfromFunnelshowshowhigh-performingmarketersharnessanalyticsandAItogofullthrottle.
Here’showyoucanjointhem.
The2026MarketingIntelligenceReport|Funnel.io2
Themarketing
dataparadox
Whyprogresswithouttransformationisholdingteamsback
Marketerstodayaresurroundedbymoredata,toolsandtechnologythaneverbefore.
WhenscrollingthroughLinkedIn,itlookslikeeveryonehascrackedthecode:AI-poweredcampaigns,predictiveanalytics,automatedeverything.Butbeneaththepolishedposts,adifferentstoryemerges.
Whenweaskedmarketerstogradetheir
performance,theygavethemselvesaB-(82%)
atbest.Andwhenaskedtoratetheiragencies,
marketersgaveasimilar,mediocregrade:81%.Foranindustrythat’sneverhadmoredata,toolsor
technology,thatgradesaysitall:progresswithouttransformation.
Thismiddlingself-evaluationisn’tmodesty.It’sa
candidadmissionthat—despitealltheinvestmentinmartech,dataplatformsandnowAI—somethingfundamentalisn’tworking.
The2026MarketingIntelligenceReport|Funnel.io3
Despiteall
theinvestmentinmartech,
dataplatformsandnowAI,somethingfundamentalisn’tworking.
Inour2026study,wewantedtounpackthisissue:Whyisitthatwithsomuchinnovativetechat
theirfingertips,marketersratetheirimpactonly
slightlyaboveaverage?Andwhatexactlyarethe
highestperformersdoingdifferentlythatotherscanreplicate?
Inotherwords,wewanttogiveyouaprescriptiveplaybooktoclosethegapbetweenwhereyouareandwhereyouneedtobe.Wewon’tgiveawayall
theanswersjustyet,buthere’sapreview.Marketersneedtoevolveinthreecriticalways:
•Fromreportingtodiscovery:
Usingdashboardsashypothesisengines—
whereanalysisisn’tthefinishline,butthestartingpointfortesting,learningandimprovingwhat
comesnext.
•Fromcautiontoexperimentation:
Buildingcultureswheretestingnewapproachesisrewarded,notpunished—poweredby
measurementsystemsthatmakefailurelow-costandlearninghigh-value.
•FromfragmenteddatatoAI-readyinfrastructure:Creatingunified,trustworthydatafoundations
thatenableadvancedanalyticstodayandprepareteamsforAI-drivendecision-makingtomorrow.
Readonforaclear-eyedlookatwhat’sworking,what’sbrokenandwhattodoaboutit.
Tableofcontents
Somuchdata,solittleinsight5
AItotherescue?7
Disruptorswanted14
Unlockingadvancedanalytics18
Makingmarketingintelligent23
MarketersneedtoleadtheAIshift29
Abouttheresearch
Funnelsurveyed238in-housemarketing
professionalsaswellasagencyprofessionals
globally.Wealsointerviewedsixagencyleaders
fromhigh-performing,data-savvyshopsintheU.S.
andEurope.Theresearchwasmanagedbyathird-partypartner,RavnResearch,andsponsoredby
Funnel.Formoredetaileddemographicinformation,gotopage31.
The2026MarketingIntelligenceReport|Funnel.io4
The2026MarketingIntelligenceReport|Funnel.io5
Somuchdata,solittleinsight
Funnel’slatestresearchshowsmanymarketersaresurroundedbyampledataandadvancedtools,butlacktrueinsightanddirection.
They’repilotingadvancedmachines,butstillflyingblind.Justlookatthenumbers:
•72%ofin-housemarketersand55%ofmarketersworkinginagenciessaytheyhavemountainsofdata,butturningitintoinsightsischallenging.
•86%ofin-housemarketersand79%ofagency
marketerssaytheydon’thaveaclearsignal
throughthenoise.Inotherwords,theystruggletodeterminetheimpactofeachmarketingchannelonoverallperformance.
Onemarketerexplains,“We’redrowningin
information,butwhat’stheinsight?What’stheactionthatneedstobetaken?”
Theproblem:Manyteamsspendanenormousamountoftimegeneratingdashboardsthatlookimpressivebutreveallittleaboutwhattodo
next.Andinourexperience,toomanyteamsarestillchasingvanitymetrics—clicks,followers,impressions—thataredisconnectedfromrealbusinessimpact.
“Wehaveplentyofdata,butturningitintousefulcustomerinsightsischallenging.”
Agency
In-house
55%agree
15%40%15%22%8%
72%agree
17%55%11%13%
4%
020406080100
StronglyagreeAgreeNeutralDisagreeStronglydisagree
The2026MarketingIntelligenceReport|Funnel.io6
Tobefair,thesheercomplexityofmodern
marketingmeansmanyteamsstruggletoidentifywhat’sworkingacrossamazeofchannels,
touchpointsanddevices.Sixty-eightpercentof
in-housemarketersandoverhalf(52%)ofagencymarketerssaytheydon’thaveup-to-datevisibilityintocampaignperformanceacrosschannels.
AndFunnel’sresearchshowsin-housemarketers,farmorethantheiragencycounterparts,feel
adrift:41%ofin-housemarketerssaythatwhen
theyreportresults,theydon’tanalyzethe“why”oridentifyactionstotake(agencymarketersoftenfailtodothis,buttoalesserextent,sincetheymust
defendtheirresultstopayingclients).
Let’srepeatthat:Morethantwoinfivein-housemarketerssaythey’resimplydocumentingpastperformance,withlittleinvestigationintoroot
causes,ornextstepsforimprovement.Theyaremaintaining—evenprotecting—thestatusquoratherthandrivingchange.
Agenciesare2xmorelikelythanin-housemarketerstomake6robustrecommendations’inperformancereports
Agencymarketer
In-housemarketer
12%
28%60%
15%
56%29%
020406080100
Onlysummarydata
Summarydataplusrobustrecommendationsfor
optimization/action
Mostlysummarydata;somerecommendations
Q:Doyourmarketingperformancereportsincluderecommendationsforaction,orjustsummarydata?
AItotherescue?
AItoolsandautomationsarehailedasalifelinetorescuemarketersfromthecomplexityofmodernmarketing.Willthey?
AstudybySurveyMonkey
found93%ofmarketerssayAIhelpsthemgeneratecontentfaster.But
Thefirstproblem:AIdoesn’tfixmessydata;it
amplifiesit.Whentheinputsareinconsistentand
greatmarketingisn’tjustaboutspeed,volumeand
fragmented,theoutputsmaysuggestaccuracybut
throughput—it’saboutresonance,distinctiveness
betotallyunreliable(that’soneoftheproblemswith
andimpact.
AI:Itcanbeconfidentlyincorrect).Clean,unifieddataisessentialforgeneratingclearsignalsand
Sothequestionbecomes:IsAIactuallydelivering
actionableinsights,yetmanymarketerslackreliable
onbothpromises?Canitmakemarketersfasterandbetter?Theanswer,itturnsout,iscomplicated.
accesstosuchdata.
GenAIvs.MachineLearning
WhenmarketerstalkaboutAI,theyoftenrefertoverydifferentthings.There’sgenerativeAI:toolslikeChatGPT,GeminiandMidjourney
thatcreatetext,imagesandideasthat
marketersdirectlyuseandedit.Thenthere’smachinelearning,whichpowersadplatformsbehindthescenes—systemsthatautomatebidding,targetingandbudgetoptimization
basedonpatternsindata.
Thetwoareoftenconflated,buttheyworkatdifferentlayers.Withmachinelearning,you
consumetheAI’soutputindirectlythrough
improvedresults(e.g.,betterCPCs,higher
conversionrates).WithgenerativeAI,you’recreatingandconsumingtheoutputyourselfintheformofanad,headlineorimage.
Bothrelyondata,butwithoutastrongdatafoundation,neitherdeliversmeaningful
intelligence.
The2026MarketingIntelligenceReport|Funnel.io7
The2026MarketingIntelligenceReport|Funnel.io8
AIandcreativity:
Arelationshipstilltakingshape
Funnel’sresearchpointstootheruncomfortablecontradictionsattheheartofAI-drivenmarketing.
MarketersareconflictedaboutAI’screativeimpact.Asizablenumber—39%ofagencymarketersand23%ofbrandmarketers—sayAItoolsgenerate
repetitive,genericcampaigns.Yetmorethanhalf(54%)alsobelieveAIenhancescreativityontheirteams.
Thattensioncaptureswheremarketingstandstoday:inspiredbyAI’spotential,butstilllearninghowtouseitwell.
Nearlyhalf(46%)ofmarketersadmitcreativerolesaremostatriskofdeclineorreplacementduetoAI.Yetevidenceshowstheoppositeshouldbetrue,thatcreativityismarketing’sbiggestmultiplier.Researchcovering1,250campaignsand$140billioninad
spendfoundthatdistinctive,emotionallyimpactfulcreativecandriveupto
12xmoreprofit
thangenericorforgettableads.
Atthesametime,47%ofin-housemarketersand
32%ofagencymarketerssaytheyfinditdifficulttokeepupwiththedata-drivenaspectsoftheirwork.Yetfewerthanoneinthree(30%)useautomationtohandlerepetitiveSEOandoptimizationtasks—theverytoolsthatcouldfreethemupforhigher-valuework.
Thesecontradictionsrevealadeepertension:
MarketersknowAIispowerful,butthey’reunsurewhetherit’sathreatoranopportunity.That
uncertaintyisdrivingtwoverydifferentresponses.
HowAIischangingcreativework
39%
ofagencymarketersand23%ofbrandmarketerssayAItoolscreaterepetitive,genericcampaigns.
46%
ofmarketersadmitcreativerolesaremostatriskofdeclineorreplacementduetoAI.
Thedataskillsandautomationgap
47%
ofin-housemarketerssaytheyfinditdificulttokeepupwiththedata-drivenaspectsoftheirwork.
54%
sayAIenhancescreativity.
12x
moreprofitwithstandoutcreativesversusgenericads.
30%
useautomationtotakeoverrepetitive
SEO/optimizationtasks—meaningmost
teamscouldfreetimeforhigher-valuework.
32%
ofagencymarketerssaytheyexperiencethesamedificulty.
refinementtobetrulyuseful.”
HenryArkell
Co-founderandDirectorMillena
“MarketersfeedAIplatforms
datasetsforanalysis,andgetveryself-assuredanswersback.But
often,ifyoutrulyexaminethedata,ittellsaverydifferentstory.That’sthebigchallenge.AIsarefantastic,PhD-levelminds,butwithsomanydifferentdatasets,aswellasahugeamountofbusinesscontextthey
don’thaveaccessto,theyrequiresignificanttrainingandongoing
The2026MarketingIntelligenceReport|Funnel.io9
Fearversusoptimism:Whichwillprevail?
Marketersstandatacrossroads.Willtheylean
intofearanduseAIprimarilyasacost-cuttingtool(think:more,faster)?OrwilltheyembraceoptimismandwieldAIasatruecompetitiveadvantage?
Thefearscenario:Givenweakeconomicindicators,marketingleadersmaybetemptedtouseAIand
automationtotrimheadcountand“domorewithless.”Butcuttingcreativetalentriskshollowingouttheverythingthatdrivesdifferentiationandemotionalconnectionwithcustomers.
Theultimateirony?WhenOpenAIreleaseditsfirsthigh-profilebrandcampaign,
itchosetohirehuman
creatives
anddebuttheworkontelevision—a
reminderthatbreakthroughcreativityremainsafundamentallyhumanadvantage.
“AIopensawindowwherewe
canstarttodonewthings.The
problemisthatsometimesclientsaren’treadytochange.”
PaulaGomez
GlobalData&AdtechDirectorMakingScience
Theoptimisticpath:ThesmartestmarketerstreatAIasatoolfordoingbetterwork,notjustmore
work.They’reusingittoeliminatedrudgery,surfaceinsightsfasterandfreetheirteamstofocuson
higher-orderthinking—strategy,storytellingand
thekindofcreativeworkthatactuallymovesthe
needle.Takingtheoptimisticpath,however,requiresdoingthingsverydifferently,including:
•Investinginclean,unifiedmarketingdataasapre-requisite,foundationalstep.Just33%of
in-housemarketersinvestinstructureddataandmetadata—thecritical“fuel”thatAIsystems
needtounderstandandsurfaceyourcontent.Andonlyoneinfivein-housemarketerssaycollectingandusingfirst-partydataaspartoftheiroverall
marketingstrategyisatoppriority.
•Deployingautomationstoeliminatedrudgery
andgivemarketersmoretimetopursueskills
developmentandmoreadvancedtasks.Currentlyfewerthanoneinthree(30%)useautomationtohandlerepetitiveSEOoptimizationtasks,andevenfeweruseautomationsextensivelyfordata-relatedtasks.
•Offeringopportunitiestoadvancedataskills,
includinglearningadvancedmethods.Today,
nearlyhalfofin-housemarketerssaytheystruggletokeepupwithdata-driventasks.
•Rewiringorganizationalculturetovalue
experimentationandcalculatedrisk-taking.Welloverhalfofin-housemarketerssaytheydon’tfeelfreetoexperiment.
Sowhyaren’tmoremarketersactinglike
innovators?Theanswerhaslesstodowithtalentandmoretodowiththeenvironmentsthey’re
workingin.
The2026MarketingIntelligenceReport|Funnel.io10
Thenewrulesofvisibility:FromSEOtoGEO
Theplaybookmarketersspentdecadesmastering—SEO,funneloptimization,
predictablecustomerjourneys—isbeingrewritteninrealtime.
WelcometoGEO(GenerativeEngine
Optimization):optimizingcontentforinclusioninAI-generatedresultsintoolslikeChatGPT,PerplexityandGemini,ratherthanjust
traditionalSEOforrankinginstandardsearchengines.
Marketersarealreadyexperiencingthis:
•64%predicttheircustomerswilluse
traditionalsearchengineslessofteninthecoming2-3years.
•43%expectashortercustomerjourneyduetoAI-assisteddecision-making.
•41%saycustomerjourneyswillbecomemorefragmentedandunpredictable.
Atthemoment,however,fartoofew
marketersareprepared:Onlyhalfofin-housemarketers(52%)createcontentoptimizedforAIandconversationalsearch.Just44%traintheirteamsforAI-drivensearchandvisibilitypractices.Andfewerthanoneinthree(30%)useautomationsforcontentoptimization.
Agenciesaredoingabitbetter,butstillfallfarshortofexpectations.
The2026MarketingIntelligenceReport|Funnel.io11
The2026MarketingIntelligenceReport|Funnel.io12
MarketersarepreparingforAIchangestosearch
In-housemarketers
CreatingcontentdesignedforAIandconversationalsearch
TrainingteamsonAI-drivensearchandvisibilitypractices
TestingAI-poweredadcampaignformats
Investinginstructureddataandmetadata
AutomatingrepetitiveSEOandcontentoptimizationtasks
Other
Noneoftheabove
HelpingclientscreatecontentdesignedforAIandconversationalsearch
TrainingstafonAI-drivensearchandvisibilitypractices
RunningoradvisingonAI-poweredadcampaignformatsforclients
Advisingclientsonstructureddataandmetadatause
AutomatingrepetitiveSEOandcontentoptimizationtasksforclients
Other
Noneoftheabove
52%
44%
35%
33%
30%
4%
16%
0102030405060
Agencymarketers
54%
47%
46%40%
32%
4%
13%
0102030405060
Q:HowisyourteampreparingforAI-drivenchangestosearchandvisibility?
AI’simpactsondigitaladvertisinginthenext2-3years
Reduceduseoftraditional searchengineslikeGoogle IncreaseduseofAIchatbots andconversationalinterfacesShorterconsumerjourneysduetoAI-assisteddecision-making
Morefragmented,unpredictablecustomerjourneys
Morepersonalizedadsandcontentbased onAI-drivenrecommendationsIncreasedimportanceofconversationalandlong-tailSEO
IncreaseduseofvoicesearchNoneoftheabove
64%
50%
43%
41%
30%
28%
9%
1%
01020304050607080
Q:WhichAI-drivenshiftsinconsumerbehaviorwillmostimpactdigitaladvertisingoverthenext2–3years?
The2026MarketingIntelligenceReport|Funnel.io13
The2026MarketingIntelligenceReport|Funnel.io14
Disruptorswanted
Marketingleadersneedtocreatecultureswheresmartrisksarerewarded,notpunished.
Today,marketingteamshavepowerful,disruptivetechnologiesattheirfingertips,butastriking
shortageofpeoplewhofeelempoweredtousethemboldly.
Despitereadilyavailabletech,56%ofin-house
marketersand43%ofagencymarketerssaytheydon’tfeelconsistentlyempoweredtoexperimentwithnewapproachesandadaptstrategies.Andasizableportion—41%ofin-housemarketers—saytheyaren’tfullycomfortableraisingconcernsorchallengingexistingstrategies.TheproblemisnearlyfourtimesworseforGenZthanfortheiroldest(bornpre-1965)colleagues.
Theprimaryculprits,saymarketers?Leaderswho
aren’topentonewideasandcompanycultures
thatactivelydiscouragerisk-taking.“Wehavea
leadershipteamthatdoesn’tknowhowtoandis
scaredtopushtheenvelopeandtrynewstrategies,”onemarketertoldus.
Domarketersfeelempoweredtoexperimentwithapproachesandstrategies?
In-housemarketersAgencymarketers
9%5%
44%57%
47%38%
Consistentlyexperiment&adaptbasedontesting/results
Sometimesexperimentandadjust
Rarelyexperiment;generallyfollowsetstrategies
Q:Doesyourteamfeelempoweredtoexperimentwithnew
marketingapproachesandadaptstrategiesbasedonwhatyoulearn?
The2026MarketingIntelligenceReport|Funnel.io15
Thenetresultofthiscaution:Manymarketers
simplyaren’ttryingoutnewtactics,eventhough
playingitsafeistheriskiestmoveofall.Forexample,64%ofin-housemarketersand53%ofagency
marketerssayit’sbeenmorethanthreemonths
sincethey’velaunchedacampaignthatdeviated
fromtheirtypicalpractices(i.e.,marketersareusingarevolutionarytechnologytodojustaverageworkandachieveaverageresults).
Instead,marketersfocusonsmall,lessriskywins.
Onemarketerexplains,“Peopleareafraidtochangeoldhabitsforfearitwillbeunsuccessful,which
wouldputatargetontheirback.”
Andaboutthosesmalloptimizations?Manyteamsaren’tevendoingthatconsistently.Only13%saycontinuousreviewandrefinementisembeddedintheirculture.
Maybethiscautious,heads-downapproachis
understandablegivenhowmuchischanging
andhowquickly.Whenmarketsareweakand
organizationsareunderstrain,fearoffailureandjoblossisamplified.
“Playingitsafeisactuallythe
riskiestlong-termstrategy,asitleadstostagnation.Brandscanmakeboldermovesbyadoptingatest-and-learnmindsetand
ring-fencingasmallinnovationbudget.Ilikethe70/20/10
approach:10%devotedtotryingnewthings,20%tooptimizing
whatworksand70%tobasicfoundations.”
TomRoach
VP,BrandStrategyJellyfish
Butthere’salsoadeeperissueatplay:Many
marketerslacktheconfidencetonavigatethe
growingcomplexityofmodernmarketing.Nearlyhalf(47%)ofin-housemarketersand32%ofagencymarketerssaytheyfinditdifficulttokeepupwith
thedata-drivenaspectsoftheirwork.Andmanystruggletoadmitwhentheydon’tunderstand
somethingatwork.Again,youngermarketersfeelthismoreacutely.
Thiscreatesaviciouscycle:Teamsfeel
overwhelmed,sotheysticktowhattheyknow.Butstickingtowhattheyknowmeanstheyfallfurtherbehindasthedisciplineevolves.
“Toderiveprescriptiveinsights
andformconnectionsbetween
differenttypesofdata,youneedexperienceandanunderstandingofhowdimensionsandmetrics
relatetooneanother.Thatrequiresacertainskillset.
Unfortunately,alotofmarketers,especiallyinbiggercompanies,arepreoccupiedwithmeetings,seniorexecutivesandcreating
presentationsexplainingwhat
they’redoing,notnecessarily
working.Ifmarketershadmorementalcapacitytoreallydive
deepintodata,theycouldcreatethoseinsightsthemselvesbetterthanyouraverageanalyst.”
ThijsBongertman
ChiefDataOfficerSPAIK
Movingbeyondthestatusquorequiresremovingthebarriersthatmakeexperimentationfeel
dangerous.Andthemostconsequentialbarrierofallisalackoftrustinthedataitself.
Whenmarketerscan’ttrusttheirdata—whether
duetoinconsistentnumbers,murkyattribution,orquestionableresults—everyexperimentfeelslikeacareerrisk.
Yetthisisexactlywheremostmarketing
organizationsfallshort.Funnel’sresearchshowsthatjustoneinthreeinvestinstructureddataandmetadata.
High-quality,trusteddatalowersthecostoffailure.Ittransformsexperimentsintolow-stakeslearningopportunities.Marketingleaderswhowantbolderteamsneedtoinvestinatransparent,trustworthyintelligencefoundation:cleandatainfrastructureandreliablemeasurement.
“Ifinditdifficulttokeepupwiththedata-drivenaspectsofmodernmarketing.”
Agency
In-house
5%27%15%37%16%
9%38%16%29%8%
32%agree
47%agree
020406080100
StronglyagreewAgreewNeutralwDisagreeStronglydisagree
The2026MarketingIntelligenceReport|Funnel.io16
“Dataanalystsareverygoodat
reportingonwhathappened.Buttointerrogatewhysomething
happenedrequiresadditionalskills,includingabroaderunderstandingofhowcommunicationswork,
howcampaignsaresupposedto
work,howbrandgrowthworks…andthemyriadwaysthingscan
gowrong.That’slessaboutdata
analysisandmoreaboutdetectivework.Itrequiresstrategy,curiosityandstorytellingontopofthedataanalysis.Thatisararecombinationofskills,soit’snotsurprisingthatmarketingteamsarestruggling
withit.”
TomRoach
VP,BrandStrategyJellyfish
The2026MarketingIntelligenceReport|Funnel.io17
The2026MarketingIntelligenceReport|Funnel.io18
Unlocking
advancedanalytics
Advancedanalyticsseparatetheconfidentfromthecautious,butthesemethodsarestilloutofreachformost.
Last-clickattributionwasoncethestandard,butit’sslowlybeingerodedbyrisingprivacyregulations
andchangesbybigtechfirms—GDPR,CCPA,
restrictionsonthird-partycookiesandtracking.Andsearchisnolongeraboutchasingtopkeywords,butcreatingcontentthatanswersquestionsandstandsoutinAI-driven,conversationalresults.
AssearchfragmentsacrossAIassistantsandconversationalplatforms,marketerscan’tjustrelyonrankingsorpublisher-reportedmetrics.
Independentmeasurementisnowcriticaltotrulyunderstandhowandwhereabrandshowsup.
Addpressurefromboardroomsandbudgets,andthestakesgetevenhigher.Marketersarebeingaskedtoshowrevenueimpactquicklyandwithdefensiblemetrics—notengagementfigures,
whichhavelostcredibilitywithleadership.
Giventhesedisruptiveforces,marketingis
evolvingtowardmoreadvancedformsofanalytics—modelsthatdon’trelyoncrumblingthird-partydatainfrastructuretomeasurereturnonmarketinginvestment,suchas:
•Data-drivenattribution:Trackingcustomer
touchpointsacrosschannelstounderstandwhichinteractionscontributetoconversions.
•Marketingmixmodeling(MMM):Usingstatisticalmodelstomeasuretheimpactofvarious
marketingactivitiesonbusinessoutcomes,suchassalesandROI.
•Incrementalitytesting:Estimatingtheadditionalimpactofaspecificcampaignbycomparingtheresultsofatestgroupexposedtothecampaignwithacontrolgroupthatwasnot.
Advancedmeasurementcanalsogobeyond
attributiontofindcorrelationsbetweenchannels,
identifythelagbetweenfunnelsteps,understand
saturationpointsandbuildagenuinetheoryforhowmarketingdrivesbusinessresults—andultimatelyrevenue.
“Marketingmixmodelingis
havingahugemomentinpartbecauseitaccommodatestherealityoftheworldwelivein:
WiththeinformationIhaveat
myfingertips,whatisthebest
decisionIcanmakewiththe
highestlevelofconfidence?AndhowcanIdeviseatesttovalidatewhetherthoseassertionswere
accurate?Wehavetobewillingtomakedecisionswithconfidencelevelsthatarenot100%.”
DanTemby
SeniorVP,Technology&AnalyticsDAC
The2026MarketingIntelligenceReport|Funnel.io19
YetFunnel’sresearchshowsastrikinggap:Only21%ofagencymarketersandjust8%ofin-housemarketersconsistentlyuseadvancedanalytics.
Oneinthreemarketers(36%)saytheyhave
“advanced”skillsusingatleastonekindofdataanalyticstomeasureperformance,butfarfewerhaveadvancedskillswithmoresophisticated,
probabilisticmodels—suchasmarketmix
modeling(15%),incrementalitytesting(18%)andattributionmodeling(27%).
Agenciestendtoshowgreaterfinessewiththese
tools,butstill,fewratethemselves“advanc
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