
Case study: AI analysis of website sessions
The Head of Digital for a media company came to us with a problem: their website was generating a wide range of user sessions — some of which were valuable (meaningful sessions that led to conversions or engagement) and many that were not. While they had access to large volumes of data from Google Analytics and other tracking systems, the information was fragmented, inconsistent, and difficult to interpret. They didn’t know what distinguished valuable sessions from unimportant ones, how user behaviour was evolving over time, or what changes would improve performance. As a result, optimisation decisions were largely guesswork rather than data-driven.
Trimontium’s approach
Understanding what drives meaningful engagement on a website requires detailed data analysis and the ability to identify behavioural patterns across huge datasets. Trimontium’s goal was to take the client’s fragmented and hard-to-interpret data and transform it into a daily AI-driven analysis pipeline within our Trimetrics platform. This would allow us to combine all available data sources, apply advanced statistical and machine learning models, and clearly explain which factors made some sessions valuable and others not.
What we built
We began by automatically ingesting all of the client’s website and Google Analytics data into the Trimetrics platform via a daily pipeline. Once the data was unified and cleaned, we applied statistical learning and machine learning models to analyse the structure and dynamics of user sessions — identifying key features such as number of clicks, event sequences, session length, and traffic source (e.g. organic, referral, paid). Our models determined the relative importance of each feature in driving valuable sessions, quantifying which behaviours, traffic types, and user journeys had the strongest influence on conversions. The Trimontium AI then synthesised these results and surfaced them in clear, human-readable reports, showing exactly what was driving growth and what changes could further improve engagement.
Outcomes
The client gained a clear, data-driven understanding of the differences between meaningful and non-meaningful sessions on their website, and — critically — what was causing those differences. With Trimetrics providing daily, up-to-date analysis powered by Trimontium AI, they could see which actions, sources, and patterns were producing growth. As a result, they were able to make informed decisions on how to optimise their website, focus marketing efforts on the most valuable traffic sources, and continuously improve conversion rates. Before Trimontium, they had the data — but it was fragmented and unusable. Now, thanks to our automated AI pipeline, they had actionable insight, all in one place.
