The University of Essex and Climbing Trees Online Marketing KTP 24_25 R2

An ethical marketing agency is building an AI system that automatically pulls data from dozens of sources to produce a single, daily visual dashboard showing how well its clients are performing online. Marketing agencies currently rely on staff to manually gather and interpret data from platforms like Google Ads, social media analytics, and website traffic tools. This is time-consuming, prone to human error, and often produces reports that are already out of date by the time they are finished. The project aims to replace this patchwork process with a machine-learning model that continuously integrates datasets and surfaces the most actionable insights—such as which ad campaigns are underperforming or where a client’s website is losing visitors. If the model works, the agency could offer clients real-time performance optimisation rather than weekly or monthly summaries. For small and medium-sized businesses that cannot afford in-house data teams, this could mean more efficient advertising spend and faster responses to market shifts. The project is applied commercial research with a clear practical goal: it does not aim to advance fundamental AI science, but to demonstrate how existing machine-learning techniques can be packaged into a reliable tool for a specific business need.