Media agencies are drowning in data but struggling to extract insights that drive performance. AI analysis of KPIs can transform that challenge into a competitive advantage, turning real-time data into meaningful recommendations that help teams optimise campaigns faster. In this article, we explore how automated KPI intelligence reduces manual effort, improves reporting accuracy, and empowers agencies to make smarter decisions with confidence.
How AI Analysis of KPIs Gives Media Agencies an Edge
Impact: Saved an average of 16 hours per week per account manager, equivalent to 43% of their working week
Case study: Building a comprehensive KPI dashboard with embedded AI-driven analytics
Client sector: Media agency
The brief: To transform fragmented KPI data into a single, intelligent decision engine that identifies real trends, filters out noise, and accelerates confident, decisive action.
The CEO of a media agency came to us with a problem: the data that underpinned the KPIs for their many clients was spread across multiple systems. It was also treated inconsistently, meaning it was extremely difficult to understand what was happening to their client base. It was impossible to tell if fluctuations in a particular client’s KPIs were just the result of natural variability or an indication that immediate action was required . Decision making was paralysed by uncertainty, and time wasted on unnecessary investigations while opportunities for client growth were consistently missed.
The Trimontium approach
Analysing KPI trends across many different clients and responding appropriately requires a great deal of time and statistical training. We took the client’s manual, ad-hoc and time consuming process and turned it into an AI-first, data driven process that brings advanced statistical and machine learning methods to bear without requiring expert knowledge or training.
The solution
We first set up automatic processes to ingest all of the client’s data into our TriMetrics platform. With all of the data in one place we built ETL pipelines to processes this data in a consistent way, then applied advanced statistical and machine learning methods to determine if KPI changes were significant (and therefore required action) or were the result of natural variability. Finally, our own in-house Trimontium AI analysed these results and clear recommendations were reported back in easy to understand language.
The dashboard operating in the TriMetrics platform
Outcomes
By systemising the handling of our client’s data a single source of truth was created that was both trustworthy and could easily be explored using a single interface, enabling the client to get a full view of KPI trends across all relevant channels, for their full set of clients, all in one place. Our proprietary Trimontium AI took on the heavy lifting of analysing observed trends and making clear recommendations, speeding up decision making and eliminating the need for lengthy and unnecessary investigations.
The TriMetrics platform and our custom AI and ML solutions are designed and implemented by Trimontium’s Data Science Team, led by our Chief Data Scientist Dr Peter Appleby.
