B2B marketers have more data than ever, but many still struggle to connect activity to business impact, generate actionable insights and confidently attribute revenue across complex, long buying journeys.
To secure leadership credibility and defend your budget, you must bridge the gap between campaign execution and commercial outcomes. Yet attribution is one of the hardest parts of marketing.
This session will explore how AI is transforming marketing analytics, from automating data analysis and identifying patterns to improving forecasting, attribution and decision-making.
We will examine how leading B2B marketing teams are using AI to bring together fragmented data, uncover the signals that matter, understand buyer and account behaviour, and translate marketing performance into language the business understands.
The discussion will also address the limits of AI-driven analytics, including data quality, governance, model accuracy and the risk of creating greater complexity rather than clarity.
Attendees will leave with practical ideas for using AI to move beyond dashboards and reporting towards faster insights, stronger commercial decisions and a clearer view of marketing’s contribution to pipeline, revenue and growth.








































