The Project

The customer engaged our partner to enhance their underperforming advertisement recommendation system through advanced analytics and automated summary generation for clustered user query subgroups.

Innovative Advertising Campaign Analytics

Our partner’s team developed a comprehensive advertising campaign analytics platform equipped with a keyword ranking analyzer powered by natural language processing (NLP) models. Seamlessly integrated with Google, the platform processes statistical data from user queries to refine ad displays and optimize campaign performance.

Intelligent Query Clustering & Ad Matching

They also built a web application that clusters user queries lacking relevant ad matches. The platform intelligently analyzes user interactions with advertisements, identifying mismatched ads and inappropriate query pairings. By leveraging AI and machine learning, the system suggests optimal ad matches for previously uncovered query groups, significantly improving targeting accuracy.

Automated Ad Content Generation

Our partner’s developers implemented automated textual summarization of query clusters, utilizing transformer-based similarity scoring to generate precise and contextually relevant advertisements. The system dynamically analyzes and displays query data on an intuitive dashboard, enabling the automatic generation of relevant ad options for specific audience segments.

This AI-powered solution empowers advertisers with data-driven insights, precise targeting, and automated content generation, leading to enhanced campaign efficiency and maximized ad engagement.

Technologies

AWS technologies, BERT, Scikit-learn, Matplotlib, Pandas, Numpy, Python, Flask, Celery, RabbitMQ, React, Redux, HTML5, CSS3

Team

DDT, 2 developers, 1 QA, 1 ML engineer