∠ Optimizing the Digital Marketing budget spending by recommending the most engaged Segments
for a given Ad content.
∠ Building a Data-Pipeline to collect Ads content from the marketing platforms, Normalizing the engagement raw data into a probability distribution across each segment.
∠ Training the Deep Learning models on such distribution to recommend the top segments given Ad
image and text.
∠ Deploying model on internal servers, Enabling the Marketing agent by uploading the new Ad image,
to find the best segments that would engage the most for the given Ad.