Paid media platforms tell us which ads performed, but rarely explain why.
Their built-in creative tools promise faster production and automated optimisation, yet they often give advertisers limited control over what gets made and little insight into which creative decisions are actually driving results.
That lack of transparency has pushed brands into a volume race, producing more assets, more variants and more tests, often at the expense of quality. The result is wasted spend, stretched creative teams and a growing flood of forgettable ads and AI slop.
What if applied AI could help us mine Meta and Google performance data for the creative patterns hidden inside those black boxes?
What if we could identify the elements that actually drive results, reduce reliance on opaque in-platform recommendations, and focus effort on fewer, better assets?
This session will explore a practical process for connecting creative features with media performance, turning historic campaign data into clearer hypotheses, stronger briefs and better creative decisions.
Join us for tea, coffee and snacks, and leave with a clearer view of how to spend less on weak tests, stop wasting time on poor performers, and give creative teams more space to develop work that improves media outcomes.
This event is aimed at: CMOs, Marketing Directors/Managers, Social Media Managers & Paid Search Managers.
