To continue our series, The Transformation Tapes, we sat down with Sam Wright, the founder and Managing Director at Blink. With over 20 years in digital marketing, starting from the early days of selling records online, Sam has built an agency that specialises in the unglamorous, highly lucrative backend work of large-catalogue ecommerce.
Here is our conversation on surviving the shift to AI search, cutting through the noise of vanity metrics, and why being right simply isn't enough in the agency-client dynamic.
The operational reality of large-catalogue SEO
If you had to distil the entire philosophy of scaling a massive e-commerce catalogue into a single, reductionist mantra, Sam’s approach is brilliantly simple:
"Make it easier for people to find the things they're looking for."
But executing that simplicity at an enterprise level is where most brands fail. Looking back at the journey of building Blink, Sam realised early on that standard SEO tactics simply do not work universally. The strategies you deploy for a single-SKU challenger brand fall entirely flat when applied to a 10,000-product catalogue.
This inflection point led Blink to double down on Shopify. While it was once known primarily as a platform for D2C challenger brands, Sam and his team recognised its inherent stability. Compared to battling the technical debt of legacy platforms like Magento, Shopify could be bent into shape to handle massive catalogues, allowing operators to focus their bandwidth on actual growth rather than constant maintenance.
The tracking illusion and bankable performance
E-commerce operators are constantly chasing the next big growth hack, yet Sam frequently advocates for invasive, foundational backend work. I asked him how he convinces an ambitious board to balance the desire for quick wins with the reality of fixing their taxonomy.
His answer went straight to the commercial baseline: tracking and attribution.
"As a rule of thumb for a large-catalogue Shopify store doing £5 million plus, we would expect about 20% of revenue to come from organic," Sam explained. "But for a lot of brands, it looks like 8% because of consent mode and misconfigured GA4 tracking. People take that baseline as reality. In real business impact, it’s probably 20% of revenue and that's essentially your margin."
Once you tidy up the tracking, the commercial conversation changes entirely. Demonstrating that fixing the foundations could double a channel that requires zero ad spend immediately secures board buy-in.
However, measuring true incrementality remains a challenge. GA4 is shifting sands, and third-party attribution tools are often black boxes. Sam’s hard truth for operators? Stop tweaking attribution models by 3% expecting massive growth. True scale comes from pulling the big levers: product, price, positioning, and executing the right things consistently at scale.
Surviving Generative Engine Optimisation (GEO)
With AI search moving incredibly fast, Generative Engine Optimisation (GEO) is the industry's newest buzzword. I asked Sam what an operational GEO strategy actually looks like today.
His answer? Data granularity is your only moat.
"The granularity protects you," Sam noted. "If you've got all your data organised and it's really deep, if a new AI platform comes along, all you have to do is map your fields from one to another."
He pointed to a brilliant example: consumers are beginning to lose trust in heavily styled lifestyle imagery, knowing it can be easily generated by AI. To win in modern search, you must provide machine-readable evidence. If you sell high-end dog food, an AI doesn't know what "best" means subjectively; it calculates "best" based on the exact grams of protein per kilo or specific ingredients.
The true challenge is extracting the institutional knowledge trapped inside the heads of a brand's product team and formatting it into machine-readable attributes.
What breaks when mid-market brands scale
When stores turning over £5M+ look to scale up or expand internationally, things inevitably break. According to Sam, it almost always comes down to product data hygiene.
"Most people don't think of it as an SEO thing, but if you haven't got GTINs set up, you can't get organic shopping results," he pointed out. "As soon as you start to scale, it exposes the gaps in your foundations."
Similarly, overcomplicating the tech stack is a massive pitfall. Brands often try to automate aggressively, creating a fragile ecosystem where a rogue tag automation suddenly breaks a core site function. Sam’s philosophy echoes a brilliant analogy: "Seeds are cheap." Everyone knows the high-level strategy to grow a store; what you are actually paying for is the execution and the ability to navigate a brand's specific constraints.
Busting industry myths
The conference circuit is filled with conventional SEO wisdom that Sam views as actively detrimental. The biggest myth? Advice given without business context.
"People throw out there that you need to do loads of blogs or build loads of links. Yes, that can work for a small-catalogue brand selling a disruptive product where people need education on the problem and solution," Sam explained. "But if you're selling bedroom furniture at a low price point, people just want to know if it's mango wood and if the price is right."
Applying content-heavy tactics to a specification-driven product is a fast track to burned budgets and no ROI.
Quick-fire operator signals
To wrap up the search side of things, I threw some rapid-fire commercial scenarios at Sam.
When asked what tech he couldn't run Blink without, he immediately pointed to Matrixify for bulk data management, robust server-side tracking, and Claude for accelerating internal workflows.
If a struggling brand handed him £10,000 to fix product discovery, where does the first £5,000 go? It depends on their main acquisition channel. If they rely heavily on Google Ads (as most do for demand capture), the first priority is fixing the product data in the feed, a direct return to foundational hygiene.
Looking ahead, I asked Sam for a bold prediction on how product discovery will change in the next 12 months.
"This is going to be the first Q4 where AI search behaviour starts to be embedded," he predicted. "There’s going to be loads of noise, everyone will get really excited, and the results will be underwhelming because buyer behaviour hasn't caught up yet. It’s going to be a really noisy year with little substance, followed by actual ground change the year after."
Finally, leading an agency that frequently has to deliver hard truths to ambitious e-commerce boards takes serious resilience. I asked Sam for his most valuable life lesson from navigating the agency-client dynamic.
His answer was immediate, short, and to the point:
"Being right is not enough."
Knowing the strategy is only half the battle. Getting things done inside a complex organisation requires an entirely different set of skills, and that is where the real transformation happens.
