Case Study: Internet Marketing Service Company achieves improved ad targeting and ROI with Algoscale

UK based firm harnesses data to power ad targeting

Internet Marketing Service Company, a London-based internet marketing firm founded in 2014, needed help using its data warehouse to segment and target campaigns, attribute responses, improve cross-device tracking, and identify ad impressions that were not reaching the right audience. The company, which provides DMP and DSP solutions based on cookie-less technology, turned to Algoscale to improve media decision-making and boost ROI.

Algoscale built a machine-learning-driven solution by crawling 8,000+ websites, classifying content into IAB categories and sub-categories, vectorizing text with Word2Vec, training topic models, translating English content to Italian, and integrating the model through a REST API. Algoscale also added user profiling and sentiment analysis to enable better audience segmentation and targeting, delivering processing speeds of about 250k messages per second and achieving 90% accuracy in topic modeling across roughly 30 topics, which helped improve SEO and revenue optimization.