Data-driven advertising

Data Analysis

We utilize advanced algorithms for advertising effectiveness prediction models.

Model Training

Constructing models for advertising creative effectiveness and testing.

A large billboard stands in an open, grassy area under a clear blue sky. The billboard features a Coca-Cola advertisement with the text 'Wishing You a Safe Journey' and some imagery. Trees and a parked car are visible in the background, adding to the spacious outdoor setting.
A large billboard stands in an open, grassy area under a clear blue sky. The billboard features a Coca-Cola advertisement with the text 'Wishing You a Safe Journey' and some imagery. Trees and a parked car are visible in the background, adding to the spacious outdoor setting.
A circular graphic overlays a graffiti background with the phrase 'FUTURE IS CREATIVE' displayed in bold, neon pink letters on a cracked, textured blue surface.
A circular graphic overlays a graffiti background with the phrase 'FUTURE IS CREATIVE' displayed in bold, neon pink letters on a cracked, textured blue surface.
Data Collection

Gathering and preprocessing data from various advertising channels.

A large urban billboard displaying an advertisement featuring a person walking confidently in fashionable attire against a cityscape background. The scene is lit by warm, late afternoon sunlight, casting strong shadows. Overhead power lines and modern high-rise buildings add to the urban atmosphere of the image.
A large urban billboard displaying an advertisement featuring a person walking confidently in fashionable attire against a cityscape background. The scene is lit by warm, late afternoon sunlight, casting strong shadows. Overhead power lines and modern high-rise buildings add to the urban atmosphere of the image.

Theresearchdesignwillbedividedintofourstages.Thefirststageisdatacollection

andpreprocessing.WewilluseAPIstoobtaindatarelatedtoadvertisingcreative

testingfrommultiplechannels,suchassocialmediaplatforms,marketresearch

institutiondatabases,andadvertisingplacementplatforms.Thisincludesconsumer

profiledata,advertisingexposuredata,click-throughconversiondata,etc.Then,we

willclean,standardize,andextractfeaturesfromthesedatatoconstructa

high-qualitydataset.