<div class="gn-article"><div class="gn-hero gn-reveal"> <div class="gn-hero__image"><img src="https://cdn.prod.website-files.com/687a235da6861294eec73166/6a02fe2aed955257073e1780_playback-banner-13-11-6915f786cc229417465506.jpeg" alt=""></div> <div class="gn-hero__head"> <span class="gn-kicker"><span class="dot"></span>Expression</span> <h1 class="gn-title"><em>Playback:</em> AI Personalisation at Scale</h1> <div class="gn-meta"> <strong>The GO Network</strong> <span class="pip"></span> <span>13 November 2025</span> <span class="pip"></span> <span>1 min read</span> </div> </div> </div> <div class="gn-body"> <h2>AI Personalisation at Scale: What Agencies Need to Know Right Now</h2> <p>The promise of AI-powered personalisation has been circling agency conversations for years. The reality, as three senior agency practitioners made clear in a session hosted by The GO Network on 13th November 2025, is more nuanced: some of it genuinely works, some of it is still being over-sold, and the agencies winning right now are those who have learned to tell the difference.</p> <p>Matthew Rees, Head of Digital at Tribera, Alex Blaikley, Strategy and Innovation Director at I-COM, and Mike Fantis, VP Managing Partner at DAC, brought their combined experience across creative content, strategy, and performance marketing to unpack where AI personalisation is creating real value for agencies and their clients, and where the hype still outpaces the results.</p> <p>Here are the core takeaways from that conversation.</p> <h2>Operational AI and Transformational AI Are Not the Same Thing</h2> <p>One of the clearest distinctions to come out of the session is the difference between using AI to do existing tasks faster and using AI to do fundamentally different things. Agencies tend to conflate the two, which leads to either underestimating what is possible or overpromising to clients.</p> <p>Operational AI covers efficiency gains: automating content variants, speeding up audience segmentation, reducing manual reporting work. These wins are real and worth capturing. Transformational AI goes further, enabling personalisation at a granularity that was simply not viable before, such as dynamically adapting messaging across email, web, and media simultaneously based on real-time behavioural signals.</p> <p>For agency leaders, the practical implication is to be explicit with clients about which category a given AI application falls into. Efficiency gains improve margin. Transformational applications change the value proposition. Both matter, but they require different conversations, different timelines, and different success metrics.</p> <h2>Your Tech Stack Is Only as Good as Your Data Setup</h2> <p>The session was direct on this point: AI personalisation tools are widely available, but the agencies delivering consistent results are those who have invested in getting their data infrastructure right first. The tool is not the differentiator. The quality, structure, and accessibility of the underlying data is.</p> <p>Across email, paid media, and web, the personalisation use cases that are genuinely adding value share a common characteristic: clean, connected data that allows AI to work with accurate signals rather than noisy proxies. Agencies operating with fragmented client data, siloed platforms, or inconsistent tagging will find that AI amplifies those weaknesses as readily as it amplifies strengths.</p> <p>For agency ops and strategy teams, this is an argument for making data audits a standard part of the onboarding process when taking on new clients, and for treating data hygiene as a prerequisite for any AI personalisation work rather than something to address later.</p> <h2>Human Oversight Is a Feature, Not a Fallback</h2> <p>A recurring theme across the session was the relationship between automation and creative judgment. The risk with scaling AI personalisation is not that the machines take over, it is that the humans stop paying attention. Guardrails and oversight processes are not signs that AI is not working. They are part of what makes it work well.</p> <p>This has practical implications for how agencies structure their teams and workflows:</p> <ul> <li>Establish clear review checkpoints before AI-generated content or personalisation logic goes live, particularly for sensitive categories or high-visibility placements.</li> <li>Maintain human editorial ownership of brand voice guidelines. AI can apply them consistently, but someone needs to define and update them.</li> <li>Build in feedback loops so that performance data from AI-driven personalisation informs creative strategy, rather than running in a separate silo.</li> <li>Be honest with clients about where human judgment is still in the loop. Transparency here builds trust and sets realistic expectations.</li> </ul> <p>Authenticity at scale is achievable, but it requires deliberate design. The agencies treating human oversight as an optional extra are the ones most likely to produce personalisation that feels hollow or off-brand.</p> <h2>Measuring Whether AI Personalisation Is Actually Working</h2> <p>The session challenged agencies to be more rigorous about what counts as proof that AI personalisation is delivering. Vanity metrics, such as the number of content variants produced or the volume of personalised touchpoints, do not tell you whether the work is moving business outcomes.</p> <p>The metrics worth tracking are those that connect personalisation activity to meaningful client results: conversion uplift versus a control group, revenue per session across personalised versus non-personalised journeys, and retention or repeat engagement rates over time. Without a comparison baseline, it is very difficult to isolate the contribution of AI personalisation from other variables.</p> <p>For new-business and client services teams, building measurement frameworks into personalisation briefs from the start is both a quality control mechanism and a competitive differentiator. Agencies who can demonstrate cause and effect, not just correlation, are in a much stronger position when it comes to renewals, expansions, and case studies.</p> <h2>Where to Focus in the Next 12 Months</h2> <p>The session pointed to continued acceleration in AI-driven personalisation across email, paid media, and web, with increasing convergence between channels as the next significant shift. The agencies best positioned to capitalise are those building cross-channel data capabilities now, rather than optimising each channel in isolation.</p> <p>If your agency is earlier in the journey, the most valuable starting point is not the most sophisticated tool. It is a clear internal answer to two questions: what data do we actually have access to, and what outcomes are we genuinely trying to drive? Everything else follows from those two things.</p> <p>Watch the full session recording above to hear Matthew Rees, Alex Blaikley, and Mike Fantis work through these topics in detail, including the specific platforms and workflows they are seeing deliver results today.</p> </div></div> <aside class="gn-related gn-reveal" data-auto="related-reading"> <div class="gn-related__label">Related reading</div> <ul class="gn-related__list"> <li class="gn-related__item"> <a href="/articles/playback-revolutionise-your-brand-with-ux-web-development" class="gn-related__link"> <span class="gn-related__category">Expression</span> <span class="gn-related__title">Playback: Revolutionise Your Brand with UX &amp; Web Development</span> <span class="gn-related__excerpt">Agency UX fundamentals, the latest web design tools, and ROI tracking methods, all covered in this free GO Network member playback.</span> </a> </li> <li class="gn-related__item"> <a href="/articles/ai-powered-personalisation-at-scale" class="gn-related__link"> <span class="gn-related__category">Expression</span> <span class="gn-related__title">AI-Powered Personalisation at Scale</span> <span class="gn-related__excerpt">Agency experts reveal how to combine data, creativity, and automation to deliver smarter targeting and prove ROI from AI-driven personalisat</span> </a> </li> <li class="gn-related__item"> <a href="/articles/how-to-balance-automation-and-strategy-with-pmax" class="gn-related__link"> <span class="gn-related__category">Expression</span> <span class="gn-related__title">How to Balance Automation and Strategy with PMAX</span> <span class="gn-related__excerpt">PMAX automation still needs a human hand. 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