AI analysis of GoogleAds is transforming how marketers understand campaign performance, budget efficiency, and customer intent. In this case study, we show how Trimontium helped an eCommerce client move beyond manual keyword reviews to a fully automated, AI-driven approach that revealed what spend was really delivering and where future campaign opportunities lay.
Why AI Analysis of Google Ads Was Essential for Smarter Campaign Decisions
Impact: Increased conversio by 86% whilst sumultaneously reducing costs by 35%
Case Study: AI analysis of GoogleAds
Client sector: eCommerce Client
Our Goal: To uncover what Google Ads spend was really delivering and enable smarter, data-driven campaign planning.
The Head of Marketing for an eCommerce client approached Trimontium for help with evaluating the effectiveness of GoogleAds campaigns. Their goal was to understand what their current spend was doing for the business, and to help plan future campaigns based on these findings. Before working with Trimontium their strategy was to buy a wide range of key words that seemed appropriate to their business and audience. The issue was that with large numbers of keywords to report on, which individually had quite low click counts, it was impossible to get a sense of what was actually working, what was changing week to week, and how to react by planning future campaigns. Carrying out bespoke pieces of analysis to try and answer these questions was time consuming, repetitive and prone to human error. More often than not it was not done, and as a result marketing decisions were very far from data-driven.
Trimontium’s approach
After setting up automatic processes to ingest all the client’s GoogleAds data into our Trimetrics platform, we trained our in-house Trimontium AI to analyse it, dynamically categorising and grouping the hundreds of GoogleAds that appeared in the data. The result was a clear, easy to understand analysis of their GoogleAds performance that was always completely up to date. All this insight was combined and served up to the client in one dashboard, meaning everything was in one place and easy to find.
What we built to achieve AI analysis of GoogleAds
While the raw data was available to the client from Google, the analysis was challenging and involved analysing long-tailed distributions of GoogleAds and somehow trying to group them into themes that could inform decision making. We proposed to eliminate this time consuming effort and implement an AI-driven solution, operating within the Trimetrics platform, that solves these problems quickly, efficiently and accurately, enabling truly data-led decisions.
The TriMetrics platform
Outcomes
By creating a service that automatically updates, bring fresh data daily from Google directly into our platform, the client was able to get up-to-date accurate insight on all of their key questions about their GoogleAds campaigns. Trimontium AI did all of the hard work, dynamically grouping their GoogleAds into themes in a way that automatically evolved over time in response to changes in advertising spend, consumer response levels and external market and consumer trends. The result was clear answers to what was working, what wasn’t, and where opportunities existed for future campaigns, all powered by AI.
Trimetrics and the AI and data science solutions were designed, implemented and optimised by Trimontium’s Data Science Team, led by our Chief Data Scientist, Dr Peter Appleby.
