AI-Powered Automation & Lifecycle Marketing

• Insights: Leveraging AI to unlock vast amounts of information and deliver actionable results
• Briefs: Using AI to assist in writing high-quality briefs, JBPs, and more
• Campaigns: Using AI to deliver bespoke and relevant experiences for our consumers
• Responsibility and Governance: How we mitigate risk and ensure ethical, responsible use

Most organisations know they need to deliver more personalised experiences, but far fewer know how to operationalise it across data, channels, content and teams.

Bond will introduce its Personalisation Maturity Framework, a practical model designed to help businesses assess where they are today, understand what “good” looks like, and prioritise the next steps towards true one-to-one engagement.

Bringing this to life, Greene King will share how it has evolved its approach over the past four years, from foundational investment in data and MarTech, through to delivering increasingly omnichannel, insight-led relevant experiences across a complex portfolio of brands and customer occasions.

Together, we’ll explore:

• What it really takes to move from campaign-led CRM to orchestrated personalisation
• How to progress across key capability pillars including data, decisioning, content and orchestration
• The realities of scaling personalisation in a multi-brand, high-frequency environment
• How this evolution is now powering Greene King’s next phase of growth

The session will also include a live demonstration of the Personalisation Maturity Framework, enabling attendees to assess their companies’ personalisation maturity and leave with a view of the priority jobs to be done.

A significant portion of ad spend never reaches the right person. The result is wasted budget, inconsistent messaging and audiences that never make it to conversion.

In this session, we break down the real sources of ad waste, from spam retargeting to cross-channel inconsistency, and show how real-time data and AI can help you eliminate spend on people who are not ready and more on the ones who are.

You’ll leave with a clear plan for turning the budget you already have into the growth you actually want.

AI can technically do anything for marketers – but when even anything is possible, it can be impossible to know where to start.

In this talk, you will discover how to uncover the high-impact agent opportunities, waiting to be found inside your marketing lifecycle.

You will learn how to:

• Prioritize high-impact AI use cases
• Refine workflows and tech stacks
• Balance automation with human creativity

…and ultimately deliver more measurable impact for marketing.

• AI transformation research from Google focused on accelerating AI impact for organizations and individuals with Behavioural Science, aiming to help companies move from initial AI awareness (the ‘wow’) to practical implementation (the ‘how’).
• Learn how the FOMA Mindset (Focus on Maximizing Advantages) provides the right approach for enabling AI adoption and impact.
• The session will provide an actionable playbook for both FOMA marketers and FOMA organizations on how to foster AI best practices and culture.

You’ll come away with real-world case studies from leading organizations driving tangible business impact through AI, to apply in your own team

Traffic from ChatGPT to ecommerce sites grew by 800 percent last year across more than 300 brands analyzed in Roivenue.

This is not a prediction about the future of AI. It is already happening.

AI interfaces such as ChatGPT, Perplexity AI, and Google Gemini are becoming a new discovery layer between customers and brands. They influence product research, brand comparison, and buying decisions before a user ever clicks on a traditional search result. LLMs are already sending measurable traffic to ecommerce sites and in many cases, contributing to conversions.

Yet most ecommerce teams are not measuring this channel properly. In many analytics setups, LLM driven sessions are misclassified as direct or referral traffic. As a result, leadership teams underestimate its growth and its strategic impact.

Based on aggregated data from 300 plus ecommerce brands, this session will reveal:

• How fast AI driven traffic is actually growing
  • How LLM traffic behaves compared to SEO, paid search, and direct
  • Where standard attribution models break when AI enters the journey
  • Which verticals are seeing the strongest early impact
  • What ecommerce teams should change now in SEO, content, and paid strategy

This session moves beyond AI hype and focuses on hard data, measurement architecture, and practical implications for growth teams.

A new acquisition channel is forming in plain sight. The question is not whether it will matter, but who will adapt first.

Join this session to discover how Timpson is driving footfall across its 6,250 locations by improving local SEO performance at scale, using reviews, listings, and AI-powered insights to increase visibility across every location. Hear how Timpson unified CX to enable cross-brand benchmarking, unlocking operational efficiencies and clear performance insights across regions. We’ll also explore the journey of moving away from legacy platforms and securing C-suite buy-in to deliver a scalable, future-ready strategy.

• Distinguishing real AI impact from hype across strategy, execution, and measurement
• Using AI to create anticipatory, personalised customer experiences
• Leveraging automation to optimise campaigns, content, and lifecycle journeys at scale
• Harnessing AI to enhance creativity and accelerate experimentation

• How the consideration phase is being rewritten. LLMs have become the trusted friend buyers turn to before they ever land on your website. And if your brand isn’t part of that conversation, you’re already losing deals you never knew were in play.
• How to GEO without destroying your SEO. The good news: you don’t have to choose. Drawing on real-world case studies, we’ll show how you can treat GEO and SEO as complementary forces, and how that combination gives you the power to reliably shape what LLMs say about you.
• The executive’s playbook: how to own LLM answers before your competitors do. The window to move first is open right now, but it won’t stay that way. We’ll close with concrete, actionable moves business leaders can take back to their teams and implement immediately.

With the outputs of AI generative models increasingly resemble a commodity, we look at how the landscape of creative production has altered and it’s profound impacts on creative optimisation and automated feedback loops within digital marketing.

• Explore the AI shifts performance measurement from campaign metrics to real-time, predictive indicators of customer value
• How automated optimisation loops continuously test, learn, and improve results with minimal manual effort
• Examine attribution models, KPIs, and reporting frameworks must evolve in an AI-orchestrated, always-on environment
• Discuss marketing teams effectively communicate AI-driven performance gains and insights to leadership

• How generative AI accelerates content creation and asset versioning
• How automation enables rapid experimentation and performance optimisation
• How AI streamlines production workflows and reduces creative bottlenecks
• How brands scale output and maintain quality with AI-powered content systems