Performance, Platforms and the Future of Advertising: Inside The Gray Agency’s Bet on Creativity and Data
From triathlete to agency founder, Andy Gray’s journey shows how independence and performance-led creativity can outmanoeuvre the big networks.
From Law to Skincare: A Tale of Reinvention
Andy Gray did not begin with an ambition to work in performance marketing. His path started in sport, where he was a semi-professional triathlete, to fund the costs of the sport, he turned to social media, growing theme pages and negotiating with brands in exchange for equipment. What began as a side-hustle to secure a £10,000 racing bike soon developed into a crash course in marketing. By building networks and learning how digital audiences behave, Gray discovered that brands wanted not only visibility but measurable outcomes
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Within a few years, he was no longer just subsidising his athletic hobby but running campaigns for established skincare firms and a range of other clients, including the travel firm On the Beach. Overtime budgets moved from hundreds to millions, and with them came new expectations. That unconventional beginning initially being unorthodox moving to performance-driven, outside the constraints of a big agency network explains much of The Gray Agency’s DNA. It was built on pragmatism and necessity. If work failed to deliver, there was no cushion. Results, not reputations, paid the bills. This ethos of accountability has remained, shaping how the agency now approaches clients, creative strategy and technology.
Gray’s backstory also highlights a broader truth: many of the most agile marketing practices of today, originate not in boardrooms but in improvised solutions by outsiders. What he learned by trying to acquire sports gear was how to capture attention, prove value, and scale business maps neatly onto the mechanics of modern direct-to-consumer brands.
Andy Gray, CEO and Founder of The Gray Agency
The Independent’s Advantage
Independence in advertising is both blessing and burden. The global holding companies such as WPP, Omnicom and Publicis lean on heritage and scale, offering multinational clients access to deep rosters of staff and preferred rates. Independent shops, by contrast, lack that muscle. Yet they are also faster, less bureaucratic and able to make decisions without committee politics. Gray leans into this distinction.
The Gray Agency has chosen a narrow playing field: direct-to-consumer and retail brands. By maintaining its focus across selected categories, the firm has developed deep expertise in a space where customer lifetime value, rapid content testing, and e-commerce funnels which matter most. This focus means the agency often enters pitches as a wildcard. Big clients tend to shortlist the safe bets, a network agency, a big regional player, then include one outsider. 'That’s often us,' Gray says. Being the outsider has advantages: the agency is judged on fresh thinking, agility and hunger rather than legacy scale. The model works. Clients such as On the Beach in travel and Form Nutrition in wellness have joined, not because the agency could outspend rivals on media buying, but because it could out-think them with sharper data models and more adaptable creative. Another client, Cosmo, a London-based start-up making design-led safes, demonstrates how the agency positions itself: not simply as media buyers but as growth partners.
Central to its proposition is what Gray calls 'performance creative': content engineered to perform in the algorithmic environment of social platforms. Rather than aiming for awards, ads are designed to hit dopamine triggers in the first second, hold viewers’ attention for three, and then thread in brand cues to aid recall. It is advertising treated as an experiment in behavioural economics, less like a glossy print ad and more like a rapid-fire stimulus designed for TikTok feeds.
Creative Meets Data
The old divide between creative and media is increasingly irrelevant. In the 1990s and early 2000s, art directors dreamed up campaigns while planners bought space. Performance marketing later brought spreadsheets and optimisation, often disconnected from creative craft. Gray’s argument is that this model no longer fits how platforms work. Meta itself estimates that more than half of paid social outcomes are driven not by targeting parameters but by creative quality. Algorithms now automate much of the placement, leaving creative as the lever brands can actually pull. But creative without accountability is guesswork.
The Gray Agency therefore builds financial models to track customer lifetime value. For a skincare client, the question is not whether a first purchase is profitable, but what that customer is worth over 12 or 24 months. If the long-term value justifies higher acquisition costs, then campaigns can be more ambitious. This blend of creative intuition and financial modelling means the agency often resembles a consultancy as much as an ad shop. Creative teams produce ideas, but data analysts stress-test them against expected returns. The result is advertising that is artistic enough to engage and scientific enough to defend in a boardroom. The implication is wider: as platforms hand more optimisation to algorithms, the agency’s job shifts from micromanaging bids to designing inputs creative assets, financial models and data signals that feed the machines. The battleground is no longer the keyword list but the quality of creative and the sophistication of the economic model behind it.
TikTok as a Search Engine
Much has been written about Gen Z’s use of TikTok as a default search engine. For brands, the implications are profound. Google is shifting up the funnel with AI summaries, but younger consumers are discovering products by swiping rather than typing. The Gray Agency’s playbook for Gen Z begins with volume of content. Brands marketing on TikTok must post at least once a day, iterating rapidly to see what sparks. From there, they seed creators with products and use Spark Ads, TikTok’s format that boosts influencer posts to generate buzz.
Authenticity is the currency. Gen Z, saturated with content, filter ruthlessly. They spot inauthenticity in half a second and swipe on. Campaigns must therefore deliver multiple authentic touch points rather than one big ad. 'It’s a hive approach,' Gray says. 'No single advert drives action. It’s about repeated, credible exposure.' This understanding of TikTok is not just tactical but strategic. The platform is shaping behaviours that will migrate to older cohorts over time. The habits Gen Z develops today, fragmented attention, demand for authenticity, preference for entertainment over persuasion will filter upward. Marketers who learn to succeed with Gen Z will be better equipped for the next decade of consumer behaviour across all demographics.
Google’s Shift and the AI Overhang
For all the talk of TikTok, Google remains the world’s dominant ad platform. Yet its role is changing. Cost-per-click has risen 15% this year, according to Gray. Zero-click searches where AI overviews answer queries without sending traffic threaten publishers and advertisers alike. The response, he argues, is not to abandon Google but to understand its repositioning. Where once Google prided itself on speed get the user off Google and onto a site it now aims to keep them inside the ecosystem.
Demand Generation placements are evidence of a shift up the funnel, from direct response to consideration. The implication for advertisers: treat presence in AI summaries as digital rent. Even if users do not click, being part of the machine-generated answer builds recall. Like paying for a shopfront on a popular shopping street, it is about visibility as much as transactions. Longer term, this raises questions about how brands measure impact. If exposure in an AI summary leads to later purchase, how do attribution models capture it? Agencies will need new metrics, blending brand recall with conversion, to justify spend in a zero-click world. Publishers face an even starker reality. Some report traffic declines of 70% on certain queries. The shift threatens business models built on referral traffic. For advertisers, the challenge is to maintain presence without relying on click-throughs that may no longer come.
The AI Creative Gap
Artificial intelligence is both promise and frustration. Gray is bullish on AI’s ability to streamline reporting and workflow. Pulling stock data from Shopify into bidding strategies, or scraping competitor reviews for sentiment analysis, are examples that are already live. Reports that once took a day now take minutes. But on the creative side, he is cautious. AI-generated images still carry tell-tale flaws: packaging warped, Pantone colours wrong, copy slightly off. 'It’s very good at getting you started,' Gray concedes, 'but the end product isn’t client-ready.' He estimates static creative may reach usable quality within six months, video within a year. Until then, AI remains a co-pilot, not the pilot. This gap matters because creative is the largest lever of performance. If AI cannot yet supply assets fit for purpose, agencies must balance automation in data with craftsmanship in creative. The danger is that mediocre AI assets flood platforms, driving audiences to tune out. The opportunity is for agencies that can combine AI’s efficiency with human polish to differentiate. Over time, Gray believes the baseline will rise. Within two years, average creative quality may improve as AI tools mature. At that point, the differentiator will shift to how agencies use external data indexing, anonymised benchmarks, cross-client learnings to feed platform algorithms. Creativity will remain vital, but data intelligence will be the true moat.
AI Browsers: The Next Battleground
If the last decade was defined by Google and Facebook, the next may be defined by AI browsers. Perplexity’s audacious bid for Chrome, however unlikely, signals intent. OpenAI, Meta and others are circling. Gray describes agent-first interfaces as a turning point. Imagine asking an AI browser for the best vegan protein powder. The system will already know your dietary goals, past queries and preferences. It will recommend two or three options, collapsing the funnel from awareness to purchase in a single step. The unanswered question is monetisation. Subscriptions can cover early development, but at scale an ad engine is inevitable.
Will AI browsers replicate Google’s keyword auctions, or adopt a social-style creative feed? 'Every platform ends up an ad network,' Gray says flatly. For advertisers, that means preparing for a world where brand placement is woven into the AI’s answer itself. The strategic risk is profound. If consumers trust AI browsers to deliver not just information but recommendations, the intermediary role of publishers, comparison sites and even search ads could diminish. The spoils will go to those who can buy or earn their way into the AI’s shortlist. The contest is not about ten blue links but about two suggested answers. That compresses competition and raises the stakes.
The Offline Counterweight
In a world of algorithms and automation, old-fashioned creativity still matters. Gray lights up when discussing out-of-home campaigns: Lancashire Tea developing holiday-proof teabags for Spanish water, Aldi’s witty Oasis concert tie-ins. These campaigns work not because they are optimised, but because they are clever. Offline moments, he argues, are increasingly powerful precisely because so much attention is online. 'It’s a way to hack attention,' he says. The lesson for brands is balance: performance advertising may pay the bills, but cultural resonance often comes from the unexpected billboard. Outdoor, in particular, is enjoying a renaissance as digital targeting becomes constrained by privacy laws.
At concerts, football matches or summer festivals, the impact of a witty, well-placed billboard can ripple far beyond its media spend. Social media users photograph and share it, generating amplification that digital banners rarely achieve. In that sense, the oldest medium is also a driver of earned media in the newest.
Future-Proofing an Agency
Asked whether he would build his agency differently if starting today, Gray does not hesitate: lean even harder into technology. Automating campaign set-up, connecting data sources and freeing humans for higher-value tasks is the playbook. But he also acknowledges a looming shift. As AI raises the baseline of creativity, the true differentiator will be data specifically the ability to combine and interpret data outside platforms. 'Everyone will be good at creative in two years,' he predicts. 'The edge will come from how you use indexed data to feed platforms.' This requires cultural change inside agencies. Staff must be trained not only to design but to interrogate data. Analysts and creatives must work side by side, translating insights into ideas. The agency of the future will be less about silos of art and media, more about blended teams solving commercial problems through a mix of creativity and code.
Independence or Acquisition?
Could The Gray Agency be swallowed by a network? Gray doubts it. The bureaucracy and generalism of holding companies do not fit. But he could see alignment with larger independents such as Brainlabs, firms that share a tech-first ethos. For now, though, he is content to stay independent. Growth is steady, clients are loyal, and the thrill of building 'cool products' has not worn off. Independence, however, is not ideology. It is a choice until circumstances change. The lesson from other independents is that scale eventually brings new demands: global clients, regional offices, investment in proprietary tech. Whether The Gray Agency chooses to partner, merge or remain solo will depend less on philosophy than on opportunity. For now, Gray’s focus is simpler: keep delivering, keep innovating and stay agile.
Conclusion: Agility in an Age of Uncertainty
The advertising industry is caught between two forces. On one side, the enduring value of creativity: a teabag that works abroad, a billboard that makes commuters smile. On the other, the relentless logic of platforms: auctions, data models, AI agents. Independent agencies such as The Gray Agency navigate this tension by blending both. Their survival depends on it. For marketers, the lesson is clear: performance and creativity are no longer separate disciplines, they are two halves of the same machine. And as AI rewires search, discovery and media itself, agility will matter more than scale. The next decade will not be defined by which agency has the most offices, but by which can adapt fastest to a landscape where Google is less about clicks, TikTok is more about discovery, and AI browsers threaten to rewrite the very structure of attention. For Andy Gray, the bet is that independence, focus and relentless curiosity will be enough. Time, and algorithms, will decide.
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So, the big secret to winning in ad tech isn't building a bigger empire, it's just being someone clever underdog that outsmarts everyone on their own turf.
Something I can get behind!