Data-driven advertising
Data Insights
Stage one: data collection and preprocessing for effective advertising.


Thesecondstageismodelconstructionandtraining.Basedon
OpenAI'sAPI,combinedwithmachinelearninganddeeplearningalgorithms,suchas
neuralnetworksandrandomforests,wewillconstructmodelsforadvertisingcreative
effectivenessprediction,testsamplescreening,anddynamicoptimization.Wewill
trainandoptimizethemodelswithalargeamountofhistoricaldata,adjustingmodel
parameterstoimprovetheaccuracyofpredictionanddecision-making.Thethirdstage
issystemdevelopmentandintegration.Wewillintegratethetrainedmodelsintothe
advertisingcreativetestingsystem,developanintegratedplatformwithfunctionssuch
ascreativeeffectivenessprediction,intelligenttestexecution,real-timedata
analysis,andstrategyoptimization,andconductsystemtestinganddebuggingtoensure
thestabilityandreliabilityofthesystem.Thefourthstageispracticalapplication
andoptimization.Wewilldeploythissystemintheactualadvertisingindustry
scenarios,collectactualtestdataanduserfeedback,andcontinuouslyoptimizethe
modelandsystemfunctionsaccordingtonewdataandmarketchanges,continuously
improvingtheeffectivenessandefficiencyofadvertisingcreativetesting.