SageCampaign data everywhere. Insights nowhere.

Sage's marketing teams had access to a huge volume of campaign data - YouTube performance, creative assets, audience signals, brand lift studies and conversion metrics. But valuable insights were buried across disconnected platforms, making analysis slow, manual and dependent on specialist expertise.

The challenge wasn't collecting data. It was turning data into decisions.

Sage wanted a faster way to understand what creative was working, why it was working and how to improve future campaigns. The goal was to reduce media wastage, improve performance and make smarter decisions throughout the campaign lifecycle.

Working with Google, we explored how Gemini and Google Cloud could unlock new value from Sage's marketing data and make campaign intelligence accessible to every marketer.

We started with a one day AI Launchpad workshop, bringing together senior stakeholders from across Sage to identify opportunities, test assumptions and rapidly prototype solutions.

A clear opportunity emerged: what if marketers could explore campaign performance as naturally as having a conversation? What if insights, recommendations and supporting evidence were available instantly, without relying on reports or analysts?

The answer became the Creative Intelligence Agent.

The prototype combines campaign performance data, creative assets and audience signals into a conversational AI experience. Users can define campaign criteria and ask questions in plain English.

Instead of navigating multiple dashboards, teams receive instant insight into top-performing campaigns, creative trends, audience opportunities and performance drivers. The system automatically identifies patterns, surfaces evidence and generates recommendations, turning complex data into actionable answers.

To move beyond reporting, we developed a proof of concept that analyses YouTube campaign performance alongside creative assets using AI and computer vision.

The agent evaluates factors such as pacing, product demonstrations, call-to-action placement, visual patterns and brand messaging, then correlates them with campaign outcomes. Rather than simply reporting results, it explains which creative decisions are driving performance and helps teams apply those learnings to future campaigns.

The experience culminates in automatically generated campaign briefs and performance summaries. By combining performance data, creative analysis and audience insights into a single output, reporting becomes a planning tool rather than a retrospective exercise.

Every campaign becomes a source of learning. Every insight becomes easier to scale.

The Creative Intelligence Agent gave Sage a faster way to uncover campaign insights by bringing performance, creative and audience data into a single conversational experience.

Automated analysis reduced reporting overhead and eliminated time-consuming cross-platform investigations, while AI-generated recommendations helped teams make more informed creative decisions. The project also established a clear roadmap for future AI adoption, demonstrating both technical feasibility and measurable business value.