/* Make CMS links green */ .article-body a { color: #00C46B; text-decoration: underline; } .article-body a:hover { opacity: 0.8; } /* Style blockquotes */ .article-body blockquote { border-left: 4px solid #00C46B; padding-left: 1rem; color: #ccc; font-style: italic; }
<div class="gn-article"><div class="gn-hero gn-reveal"> <div class="gn-hero__image"><img src="https://cdn.prod.website-files.com/687a235da6861294eec73166/69fa7105602b92ce25eff3f1_marketing-personalisation-webinar-thumbnail-6917543190d84787526318.jpeg" alt=""></div> <div class="gn-hero__head"> <span class="gn-kicker"><span class="dot"></span>Expression</span> <h1 class="gn-title">AI Powered Personalisation at Scale: What Marketers Need to Know in 2025</h1> <div class="gn-meta"> <strong>The GO Network</strong> <span class="pip"></span> <span>14 November 2025</span> <span class="pip"></span> <span>4 min read</span> </div> </div> </div> <div class="gn-body"> <p class="gn-lede gn-reveal">AI is reshaping how marketers understand audiences, create journeys, analyse data, and make commercial decisions. The brands that succeed will be the ones that focus on operational clarity, make smarter use of their existing tools, and build strong internal processes to guide AI adoption.</p> <h2 class="gn-reveal"><span class="num">01</span>Personalisation Has Shifted From Static Rules to Dynamic AI Decisions</h2> <p class="gn-reveal">Traditional personalisation relied on static profiles and rule based journeys. It required expensive CDPs and lengthy implementation. AI has changed that model completely.</p> <h3 class="gn-reveal">Real time personalisation is now achievable for every organisation</h3> <p class="gn-reveal">As Matthew Rees explained, AI can now:</p> <aside class="gn-callout gn-reveal"> <div class="gn-callout__label">What this means for you</div> <h4>AI capabilities that change the personalisation model</h4> <ul> <li><strong>Build dynamic customer profiles in real time.</strong> This shift removes the need for rigid, predefined journeys.</li> <li><strong>Tailor website content automatically.</strong> Content adapts as customers behave, not weeks later.</li> <li><strong>Respond instantly to behavioural data.</strong> Reduce reliance on cookies and static lists.</li> <li><strong>Make enterprise level personalisation accessible to smaller teams.</strong> Supporting sentence from source.</li> </ul> </aside> <div class="gn-divider gn-reveal" aria-hidden="true"></div> <h2 class="gn-reveal"><span class="num">02</span>Why Personalisation Has Struggled With ROI and How AI Improves It</h2> <figure class="gn-fig gn-reveal"> <div class="gn-fig__media"><img src="https://cdn.prod.website-files.com/687a235da6861294eec73166/69fa7106602b92ce25eff3ff_6916fac9d385a97a0392e033_884.jpeg" alt="Panel discussion on AI powered personalisation and ROI"></div> <figcaption>Panel discussion on AI powered personalisation and marketing ROI.</figcaption> </figure> <p class="gn-reveal">Alex Blaikley highlighted what many marketers already know. Personalisation often delivers less ROI than promised. Gartner even predicts that 80 percent of marketers will abandon personalisation attempts by 2025 due to poor impact.</p> <p class="gn-reveal">AI changes this in two important ways.</p> <h3 class="gn-reveal">Operational AI improves efficiency</h3> <p class="gn-reveal">Automation supports reporting, segmentation, targeting, and content creation. Teams spend less time managing data and more time acting on it.</p> <h3 class="gn-reveal">Transformational AI improves strategy</h3> <p class="gn-reveal">Instead of reacting to past behaviour, AI helps marketers make proactive decisions based on predicted needs and real time insight.</p> <p class="gn-reveal">The important insight from the panel was simple. Many brands already have unused AI features inside GA4, Prismic, HubSpot, Klaviyo, and Meta Ads Manager. Optimising existing tools delivers faster ROI than buying new ones.</p> <h3 class="gn-reveal">AI Creates Operational Clarity and Unlocks Better Decisions</h3> <p class="gn-reveal">Mike Fantis noted that many teams are stuck with too much data and not enough clarity. AI cuts through this by identifying:</p> <aside class="gn-callout gn-reveal"> <div class="gn-callout__label">What this means for you</div> <h4>Where AI delivers clarity</h4> <ul> <li><strong>The segments that matter.</strong> AI turns insights that once took weeks into immediate direction.</li> <li><strong>The content that converts.</strong> This frees teams to focus on execution.</li> <li><strong>The frequency needed for each audience.</strong> Where budgets should be increased or reduced.</li> <li><strong>Operational issues that limit conversion.</strong> Such as unanswered calls.</li> </ul> </aside> <div class="gn-divider gn-reveal" aria-hidden="true"></div> <h2 class="gn-reveal"><span class="num">03</span>Adopting AI in Practice: Start With Workflows, Not Technology</h2> <p class="gn-reveal">With thousands of AI tools launching every month, it is easy to get overwhelmed. The panel stressed the need to start with problems, not platforms.</p> <p class="gn-reveal">The right questions are:</p> <aside class="gn-callout gn-reveal"> <div class="gn-callout__label">What this means for you</div> <h4>Start with problems, not platforms</h4> <ul> <li><strong>What slows the team down.</strong> Which repetitive tasks drain time.</li> <li><strong>Where accuracy needs to improve.</strong> Which parts of the workflow are manual or inconsistent.</li> </ul> </aside> <p class="gn-reveal">This approach leads to genuine return on investment rather than experimentation for its own sake.</p> <aside class="gn-quote gn-reveal"><q>Without guardrails, teams often test too many tools without structure.</q><cite>Matthew Rees</cite></aside> <p class="gn-reveal">Clear governance, shared standards, and agreed outputs are essential for any AI rollout.</p> <div class="gn-divider gn-reveal" aria-hidden="true"></div> <h2 class="gn-reveal"><span class="num">04</span>Real Examples of AI Impact Across Customer Experience and Operations</h2> <figure class="gn-fig gn-reveal"> <div class="gn-fig__media"><img src="https://cdn.prod.website-files.com/687a235da6861294eec73166/69fa7106602b92ce25eff3f7_6916fbdfa87d5f2cc48633ad_2150038862.jpeg" alt="Examples of AI improving performance across brands"></div> <figcaption>Examples of AI improving performance across customer experience and operations.</figcaption> </figure> <p class="gn-reveal">The panel shared examples that showed how AI is already improving performance across brands.</p> <aside class="gn-callout gn-reveal"> <div class="gn-callout__label">What this means for you</div> <h4>AI in action across brands</h4> <ul> <li><strong>Surfacing insights from thousands of reviews.</strong> The common theme was clarity.</li> <li><strong>Highlighting missed revenue from unanswered phone calls.</strong> AI surfaces issues that directly impact customer satisfaction and commercial performance.</li> <li><strong>Enabling real time A/B testing with unlimited variants.</strong> Enhancing email journeys through platforms like Klaviyo.</li> <li><strong>Building customer personas at speed.</strong> Improving segmentation accuracy.</li> <li><strong>Redirecting media spend based on predicted performance.</strong> AI surfaces issues that directly impact customer satisfaction and commercial performance.</li> </ul> </aside> <div class="gn-divider gn-reveal" aria-hidden="true"></div> <h2 class="gn-reveal"><span class="num">05</span>Leadership Alignment and Managing AI Risks</h2> <p class="gn-reveal">AI does not fail because of the technology. It fails because teams cannot explain the value or control the risks.</p> <aside class="gn-callout gn-reveal"> <div class="gn-callout__label">What this means for you</div> <h4>Key guidance for leadership alignment</h4> <ul> <li><strong>Present AI benefits in financial terms.</strong> Stronger guardrails build trust and help secure leadership support.</li> <li><strong>Maintain QA and human approval for AI content.</strong> Keep an audit trail of prompts and outputs.</li> <li><strong>Tailor governance to your industry.</strong> Standardise processes across teams.</li> </ul> </aside> <h3 class="gn-reveal">How To Measure AI Driven Personalisation in 2025</h3> <p class="gn-reveal">Success is broader than conversions. The experts recommended three measurement categories.</p> <h3 class="gn-reveal">Traditional marketing KPIs</h3> <p class="gn-reveal">Email engagement, CTR, revenue per send, unsubscribe rate, and conversion rates.</p> <h3 class="gn-reveal">Operational ROI</h3> <p class="gn-reveal">Time saved, reduced manual tasks, increased speed to insight, and improved reporting efficiency.</p> <h3 class="gn-reveal">Customer impact</h3> <p class="gn-reveal">Better targeting, more relevant content, improved journey performance, and stronger retention.</p> <p class="gn-reveal">The important point is to define success before implementation. AI should not be a solution looking for a problem.</p> <div class="gn-divider gn-reveal" aria-hidden="true"></div> <h2 class="gn-reveal"><span class="num">06</span>What Comes Next: AI Assistants and New Customer Touchpoints</h2> <figure class="gn-fig gn-reveal"> <div class="gn-fig__media"><img src="https://cdn.prod.website-files.com/687a235da6861294eec73166/69fa7106602b92ce25eff3fc_6916feec030f60909094f15b_105380.jpeg" alt="The next generation of AI assistants and customer touchpoints"></div> <figcaption>The next 12 months will reshape how consumers interact with brands.</figcaption> </figure> <p class="gn-reveal">The next 12 months will reshape how consumers interact with brands.</p> <aside class="gn-callout gn-reveal"> <div class="gn-callout__label">What this means for you</div> <h4>Expect to see</h4> <ul> <li><strong>AI assistants integrated into phones and browsers.</strong> Agentic AI that shops or compares products for the customer.</li> <li><strong>More regulation across search and social.</strong> Personalised reporting through Gemini, ChatGPT, and Claude.</li> <li><strong>A rise in prompting skills.</strong> Brands building their own assistant style experiences.</li> </ul> </aside> <p class="gn-reveal">The biggest shift is that marketers will increasingly target AI intermediaries, not just the consumer.</p> <div class="gn-divider gn-reveal" aria-hidden="true"></div> <h2 class="gn-reveal"><span class="num">07</span>Key Takeaways</h2> <aside class="gn-callout gn-reveal"> <div class="gn-callout__label">What this means for you</div> <h4>Personalisation at scale is now practical and achievable</h4> <ul> <li><strong>AI has moved personalisation from static rules to real time decisions.</strong> Most brands already own tools with strong unused AI features.</li> <li><strong>Operational clarity creates faster and more consistent ROI.</strong> Leadership buy in requires clear financial framing and strong QA.</li> <li><strong>AI assistants and agentic models will reshape customer behaviour in the next 12 months.</strong> The next year will reward brands and agencies that act with purpose, experiment responsibly, and measure everything.</li> </ul> </aside> </div></div>
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