The privacy revolution is here. With growing consumer awareness, regulatory changes, and the phase-out of third-party cookies, traditional marketing playbooks are being rewritten. Research reveals a striking contradiction: while 81% of consumers prefer brands that tailor experiences to them, 63% are frustrated by irrelevant, impersonal ads. This keynote will explore how marketers can resolve this paradox—delivering powerful personalisation without compromising privacy.
This session will examine how the future of personalisation lies in rebuilding customer trust through transparency and control. Rather than eliminating personalisation, brands must evolve it. That means moving away from third-party tracking and embracing approaches that leverage first-party data, contextual targeting, and privacy-forward technologies. Discover how leading organisations are reframing personalisation as a value exchange—one where users are empowered and informed.
Key discussion points include:
• Meeting expectations: How to align with rising customer demands for data control, transparency, and respect
• Ethical personalisation: Building scalable strategies for consent-based, first-party data collection and usage
• Future-proofing strategies: How top brands are redefining their personalisation tactics to meet global privacy regulations
Join this tech demo to discover how Optimizely empowers you to build, scale, and refine real-time, hyper-personalised experiences. We’ll address key challenges, showing you how to deliver targeted experiences quickly, create impact that delights customers, and demonstrate clear ROI.
Key takeaways include:
• Explore how to connect first and third-party data to build precision-targeted audiences
.• Uncover how pre-made templates can significantly cut down time, delivering personalised experiences faster.
• Learn how to automatically decide who to target with segments that update in real time
The promise of personalised advertising is immense: delivering the right message to the right person at the right time. However, if that perfectly tailored message flashes across a screen unnoticed, its potential is entirely wasted. Traditional metrics like impressions or clicks don’t fully capture whether an ad truly resonated or even registered with the viewer. This gap in understanding led Uber to invest in a sophisticated eye-tracking system to measure actual visual attention. Uber deployed an advanced eye-tracking methodology to observe how passengers interact with in-app advertisements during their rides. The study focused on personalised ads, aiming to understand the duration of attention these ads commanded. The key finding was both insightful and encouraging: people in Ubers, on average, dedicated approximately 6.6 seconds of attention to personalised advertisements with anything over 2.5 seconds of attention consistently led to demonstrable brand recall.
Join this session to learn more about Uber’s eye tracking strategy, in particular, we will focus on:
• Why attention is the new currency in personalised advertising
• How the 2.5-second recall threshold is a game-changer
• The pros and cons of in-transit environments offering unique attention opportunities
Data challenges often torment customer-facing teams. With the rapid advancements in AI, overcoming these data hurdles has become more urgent than ever. To truly unlock the potential of hyper-personalisation, businesses must centralise data collection and move beyond siloed approaches. Join this session to learn how JLR is consolidating customer data from various sources to create a unified customer view. This comprehensive approach enables a deeper understanding of customer behaviour, preferences, and needs, leading to significantly more effective personalisation strategies.
The team from JLR will discuss how historically personalisation has been viewed through a narrow lens, primarily using data collected within marketing-led domains. However, true hyper-personalisation demands a broader perspective. They will explore how to leverage data across the entire commercial domain and integrate it from broader enterprise sources to drive exceptional personalised experiences and enhance decision-making.
Key Discussion Points:
• Overcoming data silos: Discover practical tactics for unifying customer data across diverse teams, tools, and channels, ensuring a comprehensive 360-degree customer view
• Operationalising personalisation: Learn how to transform data insights into real-time, personalised experiences across both digital and physical touchpoints
• Measuring success and ROI: Explore key performance indicators to prove the tangible value of data integration in your customer experience initiatives
Customer expectations have evolved. They no longer just want personalised experiences; they demand relevant experiences, delivered at the exact moment of need. This is the power of real-time data activation.In fact, companies leveraging real-time data analytics see an average 25% increase in customer acquisition and retention. Lloyds Bank is harnessing this power to elevate customer satisfaction and drive engagement. The ambition at Lloyds Bank is to design seamless and intuitive customer journeys across all touchpoints.
The challenge? Ensuring that the context of a customer’s interaction is immediately understood and acted upon. Legacy infrastructure, data fragmentation and governance concerns make real-time activation difficult to implement at scale.
Join us to learn how Lloyds Banking Group is shifting from a channel-centric view to customer-centric orchestration, ensuring that actions taken in one channel inform and enhance experiences in another. This session will explore how to move from batch-based strategies to real-time CX, focusing on:
• Architecting for real-time: Building modern data infrastructure that supports streaming ingestion, low-latency processing, and in-the-moment decisioning.
• From segments to signals: Techniques to evolve from pre-defined customer segments to using real-time behavioral triggers.
• Enabling cross-functional collaboration: Frameworks for aligning IT,marketing, and analytics teams to operationalisereal-time capabilities
In today’s digital landscape, consumer privacy concerns are paramount. A recent survey highlights this, revealing that a significant majority of consumers are highly concerned about the privacy of their personal identity when shopping online. This concern spans generations, with Baby Boomers (68.1%) and Gen-X (64.2%) leading the charge, and over half of Millennials and Gen-Z also expressing similar sentiments. How can brands deliver the personalised experiences consumers crave while respecting their privacy? The answer lies in a robust first-party customer behavioural data strategy.
Join this essential session to discover how leveraging comprehensive first-party behavioural data empowers brands to future-proof their personalisation efforts. We’ll explore how this approach not only accelerates customer engagement and retention but also demonstrates tangible ROI from your marketing investments.
Key Discussion Points Include
:• Understanding the privacy landscape: A deeper dive into consumer privacy concerns across generations and the impact on personalization strategies.
• The power of first-party data: How collecting and utilising direct customer behavioral data builds a foundation for ethical and effective personalisation.
• Future-proofing personalisation: Strategies for adapting to evolving privacy regulations and consumer expectations.
• Accelerating engagement & retention: Practical approaches to using first-party data to create highly relevant and engaging customer journeys
Join this session to explore how Lyca Mobile is revolutionising customer engagement through sophisticated dynamic journey mapping and hyperpersonalisation across every touchpoint. This session will delve into the strategic imperatives and practical applications of creating seamless, relevant, and proactive customer experiences in today’s complex mobile landscape.
Key discussion points include:
• Designing journeys across web, app, store, and service: Learn how Lyca and their team map out the diverse paths customers take from initial discovery on their website or app, through in-store interactions, to ongoing engagement with customer service channels.
• Leveraging behavioural triggers and dynamic rules: Uncover the power of real-time data and advanced analytics in driving personalisation. This session will highlight how Lyca Mobile identifies behavioural triggers and applies dynamic rules to adapt the customer journey in real-time.
• Ensuring fluid transitions between touchpoints: Explore how Lyca Mobile prioritises fluidity, ensuring that a customer starting an inquiry on the app can seamlessly continue it with a service agent, or that an online browsing session can inform an in-store recommendation.
Loyalty initiatives are crucial for cultivating lasting customer value. Join this tech demo to discover how Dunnhumby empowers your brand to build a robust understanding of customer needs, leading to improved decision-making and increased loyalty through omnichannel personalisation. Learn how to deliver tailored recommendations and ensure a highly relevant experience at every stage of the customer journey.
Key takeaways include:
• Strategies for successful real-time personalisation, both online and offline
.• Developing personalisation that maps cross-channel behaviour.
• The importance of continuous performance measurement and strategy refinement.
Over the past year, Le Chameau has transformed its customer communication strategy, moving beyond industry buzzwords to focus on actionable personalisation techniques that deliver tangible business results. By deeply analysing how they connect with their customer base, Le Chameau implemented a new approach that prioritised functional efficiency and profitability. This strategic shift led to an astounding 3,600% increase in email productivity by personalising both the timing and content of their communications based on customer intent. Ultimately, this focus on the full customer lifecycle, from onboarding to retention, has driven a remarkable 62% increase in lifetime customer value over the last 12 months, along with an 80% retention rate of new customers.
Join this session to discover how Le Chameau redefined its personalisation strategy to achieve such impressive outcomes. We’ll cover key topics, including:
• Mapping tailored tactics to each customer lifecycle phase.
• Implementing triggered communications and nudges that boost retention.
• Effectively measuring the impact on customer loyalty, lifetime value and churn
Customers are increasingly aware of their digital footprint, and with this awareness comes a growing expectation for responsible data handling. The rise of personalised experiences, while incredibly powerful, has also introduced a significant ethical challenge: how can we use data to deliver relevant individual experiences without jeopardising consumer trust?
This panel discussion will tackle the pressing need for marketers to strike a balance between the potential of personalisation and the crucial importance of ethical practices. Our expert key opinion leaders will offer practical insights for building a future of trusted personalisation, focusing on:
• Cultivate value-led engagement: Discover how aligning your data practices with customer values fosters deeper trust and stronger relationships
.• Master transparent & fair data practices: Learn practical strategies for communicating data usage clearly and ensuring equitable treatment of customer information.
• Transform ethics into a loyalty & reputation advantage: Understand how prioritising ethical data stewardship becomes a powerful differentiator, driving brand loyalty and enhancing reputation
AI-driven personalisation has demonstrated unprecedented opportunities. By leveraging Generative AI organisations can manage vast datasets in real time, identifying customer needs and behaviors. This enables CX and marketing leaders to anticipate trends and deliver solutions that resonate deeply with their audiences. In practice, this means moving beyond traditional customer segmentation to true individualisation. However, these advancements come with a mandate: to balance innovation with ethics, scale with transparency, and efficiency with humanity. Ultimately, it’s not just about buying technology: it’s about buying outcomes that enhance customer experiences.
Join this panel discussion as we explore the foundational elements businesses need to achieve personalised experiences at scale through AI. We’ll discuss crucial considerations for ensuring ethical and transparent personalisation that delivers real value, enhances customer loyalty, and increases lifetime value.
Key discussion points will include:
As brands strive to deliver tailored experiences, the integration of AI in predictive analytics has emerged as a game-changer, enabling marketers to anticipate customer needs and behaviours with unprecedented accuracy. As a result, the question isn’t whether to adopt AI but how to integrate it meaningfully across the entire CRM lifecycle.
In this session, our panel of key opinion leaders discusses how AI and ML are reshaping customer experiences by enabling brands to move from reactive engagement to proactive, predictive personalisation at scale.
Key discussion areas include:
• Dynamically adapting customer journeys using real-time behavioural signals
• Core capabilities required for leveraging streaming and contextual data
• Addressing challenges around data latency and system responsiveness
Personalised AI can transform content creation by analysing real-time data from social media activity and user-specific buying behaviours, allowing marketers to create highly tailored content for specific groups. This can lead to enhanced SEO, overcome writer’s block, and can prove to be incredibly cost-effective. However, while AI brings valuable efficiencies to content creation, it also poses some challenges that make its implementation more complex. AI generated content can lack the emotional depth that human writers bring, which can lead to messaging that feels impersonal. Additionally, AI is highly data-dependent; if it’s trained on outdated data, it may produce content that is not only irrelevant but potentially misleading, creating quality concerns.
In this session, we’ll explore practical strategies for tackling these issues, focusing on how to:
As organisations scale their personalisation efforts, a fundamental question emerges: what is the optimal operating model? The choice between a centralised and federated approach significantly impacts everything from execution speed to brand consistency. Getting this right is crucial for translating personalisation strategy into tangible business results.
This session will provide a comprehensive exploration of these two dominant personalisation operating models, examining their inherent strengths, weaknesses, and the strategic implications of each.
Key discussion points include:
• Trade-offs between control and agility: Explore the critical trade offs between control and agility inherent in centralised and federated personalisation
• Governance models for federated brand teams: Learn about practical governance models that enable local autonomy while ensuring overarching strategic alignment and data integrity
• Hybrid frameworks: Discover practical examples of how businesses combine elements of both centralised command and federated execution to achieve optimal results
The true triumph of any personalisation effort isn’t just in crafting compelling experiences, but in definitively proving their impact. Understanding what resonates with different audiences, through various messaging tactics, at precise moments in their customer journey, is paramount. However, the path from personalisation strategy to measurable success is fraught with complexities. Data fragmentation across a multitude of channels creates an incomplete and disjointed view of the customer, making it incredibly challenging to accurately track individual journeys.
Join this session to uncover actionable strategies for embedding robust KPIs into your personalisation framework, effectively demonstrating tangible ROI, which is crucial for securing sustained funding for your strategic initiatives.
Key Discussion Points:
• Measuring uplift and performance: Learn how to establish effective control groups and design rigorous A/B/n tests that isolate the true, additional value created by personalisation
• Mastering attribution in cross-channel journeys: Explore advanced attribution models and techniques that move beyond last-click biases, enabling you to more accurately credit the influence of personalised touchpoints across diverse channels
• Linking personalisation to core business KPIs: Discover how to build compelling business cases that clearly articulate how personalisation drives these customers’ loyalty and retention.
A Personalisation CoE isn’t just a nice-to-have; it’s absolutely crucial for any business aiming to truly scale and embed personalisation deep within their customer journey. A well-structured CoE ensures consistency across all customer touchpoints, standardises how you measure ROI, and fosters a culture of shared knowledge and continuous improvement. However, the journey to establish a robust Personalisation CoE is often fraught with challenges. Organisations frequently grapple with fragmented data, siloed teams that resist change, and significant hurdles in integrating complex technologies. Overcoming these obstacles is key to unlocking the full potential of your personalisation efforts.
Join this session as we explore the foundational elements for building a successful Personalisation CoE that delivers true, scalable personalisation. We’ll dive into:
• Developing playbooks, training, and tooling for Impact: Discover how to create comprehensive playbooks that document best practices and processes, ensuring consistency and efficiency across all personalisation initiatives.
• Structuring your CoE for support and scale: Delve into various models for structuring your Personalisation CoE, whether it’s a fully centralised team, a federated network, or a hybrid approach.
• Lessons learned from early adopters: Uncover crucial lessons learned from early adopters in building their Personalisation CoEs.
Value-based personalisation shifts the focus from “what can we get from the user?” to “what can we give the user that truly enriches their experience and meets their genuine needs?” In order to achieve true personalisation, organisations must incorporate values and purpose into hyper-personalisation strategies, balancing empathy, equity and relevance.
During this session we’ll uncover how leading organisations are leveraging data and AI to deliver tailored experiences that align with individual customer needs, goals, and well-being, rather than just optimising for immediate commercial gains. Key discussion points include:
• The strategic distinction between traditional and value-based personalisation
• How to identify and measure genuine customer value
• Practical data strategies
The link between EX and personalisation is a virtuous circle. Content employees deliver personalised customer interactions and improve experiences. This in turn reduces customer churn, resulting in satisfied and loyal consumers.
In this panel discussion, we explore how brands can invest in their teams to ensure seamless personalised experiences are delivered to customers.
Key talking points include:
These interactive, informal sessions offer a unique opportunity to step away from formal presentations and engage in lively, peer-led discussions. Connect with industry colleagues, share your challenges and successes, and collectively explore innovative solutions in a relaxed, open environment. It’s an ideal space for deep reflection, practical problem-solving, and expanding your professional network across diverse sectors
Discussion topics include:
• Personalisation’s Billion-Dollar Bluff: Is Your ROI Just a Marketing Fairy Tale?
• Generative AI and Personalisation: Unleashing Creativity While Maintaining Brand Voice
• Personalisation Roulette: Are Your ‘Safe’ Pilots Actually Hiding Risky Blind Spots?
• The Loyalty Illusion: Can Personalisation Truly Earn Love, or Just Manipulate Behavior?
• The Personalisation Paradox: Why One-Size-Fits-All Data is Still Drowning Your ‘Tailored’ Experience
• Internal Culture: Trusting the Personalised Strategy