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English
$4,700.00

Fuel Studios, Pottergate, Norwich, Norfolk, NR21DX
Blink is a Shopify marketing agency specialising in SEO and PPC for large-catalogue stores. We help eCommerce brands scale by making products easier to find - for both customers and algorithms.
As stores grow beyond 250 SKUs, structure breaks down and discovery suffers. We rebuild the foundations - taxonomy, collections, and product data - to drive sustainable growth across SEO, PPC, and on-site performance.
Powered by proprietary tools Macaroni (keyword mapping and optimisation) and Macalytics (performance modelling), Blink helps growth-stage brands doing $5m+ in revenue double organic performance within 12 months, typically adding an extra 20% in overall revenue.
Most agencies focus on output - writing blogs, chasing links, doing occasional technical fixes. Blink’s focus is outcomes. We’ve built our entire approach around maximising revenue from organic search for Shopify merchants with complex catalogues. That means combining SEO expertise with data science and engineering, not treating them as separate disciplines. We use proprietary technology to deliver work at scale. Macaroni speeds up many of the heavy-lifting SEO tasks that would take a team weeks if done manually - on-page optimisation, structuring internal linking, and analysis. Macalytics gives us the ability to tie activity directly to commercial outcomes, highlighting which parts of a store are underperforming and where the next gains will come from. Together, these tools make us significantly more effective than an agency working only with manual processes. Clients choose Blink because we remove waste, build structures that scale, and focus relentlessly on commercial growth. The goal isn’t more traffic for its own sake - we consistently double organic revenue within 12 months, while also improving performance across paid channels and new discovery platforms.
No, but around 85% of our projects are on Shopify. Its consistency allows us to deliver projects faster and more efficiently. For non-Shopify platforms, additional time and cost may be required due to complexity.
Yes - marketing complexity has exploded over the last decade, and SEO is no longer about ticking a few technical boxes. It’s an execution channel that demands speed, precision, and platform-specific expertise. A specialist Shopify SEO agency understands how to work within Shopify’s unique structure to build scalable taxonomies, optimise product and collection data, and capture high-intent search demand. If you're serious about growing organic revenue, working with a team that lives and breathes Shopify gives you a major advantage.
Macaroni is our proprietary Shopify platform designed to automate and scale SEO improvements across large product catalogues. It helps implement and manage tasks like on-page implementation, collection generation, internal linking, schema, and reporting. On average, we've found that it makes us 20x more productive.
Macalytics is our Shopify analytics app that pulls in Search Console data and models it specifically for how Shopify stores work. It tracks clicks, impressions, and performance over time - helping us (and you) understand what’s really happening, much faster. It’s currently in beta, with a full launch planned for later in 2025.
At Blink SEO, we typically define a large catalogue or high SKU count store as one with 250 or more products. These stores require a very different marketing and SEO approach compared to smaller DTC (direct-to-consumer) brands.Complexity ramps up fast as a catalogue grows - most of the operational challenges emerge above 500, and they become critical at 1,000+.
Taxonomy - how products are grouped and structured - plays a central role in SEO for large catalogues. It affects how easily customers (and search engines) can find relevant products. Great taxonomy helps improve user experience, conversion rates, and organic search performance.Simply put, taxonomy underpins everything - navigation, indexing, internal links, content strategy, and demand capture.
With systems. Structured data, dynamic templates, indexable collections, and clear governance over product data and site structure.
Small catalogues: The focus is on deeply showcasing individual products. For example, a store selling one ergonomic chair might highlight its materials, certifications, user benefits, and trust signals like reviews or influencer testimonials. Large catalogues: The focus shifts to helping customers navigate choice. Instead of persuading someone to buy a specific product, you're helping them choose the right one among many. This means organising your catalogue effectively with filters, categories, and internal search tools.
More and more product searches are happening through tools like Google’s AI Overviews, ChatGPT, and Perplexity - not just traditional search results. These tools summarise options, make product recommendations, and bypass standard SERPs altogether. “AI discovery” is about making sure your products are still visible in that world.
We structure your store’s product data - categories, attributes, relationships - so that machines can read and understand it. That’s critical for showing up in AI-driven tools, which rely on clean, structured information to generate product suggestions.
Yes - because the foundations are the same ones that improve SEO, UX, and paid performance today. Clean taxonomy, structured product data, and machine-readable content help you perform now and prepare for what’s next. This isn’t a bet on the future - it’s future-proofing work that delivers immediate results.
No. We don’t believe in long-term contracts that trap clients. Blink works on a rolling month-to-month basis, because we want performance - not paperwork - to be the reason you stay. If the work is scoped well and momentum builds, results speak for themselves. That said, SEO is not short-term. The improvements we make - restructuring taxonomy, building collections, re-engineering product data - are designed to deliver compounding growth over a 6- to 12-month horizon. We’re upfront about that from the start: you’ll see some uplift quickly, but the real returns come with sustained effort.The balance is flexibility with commitment. You’re not locked in, but if you want to see the full effect of our work, you should plan on giving it time. That combination of transparency and accountability is why most of our clients work with us for years - not because they have to, but because the growth is too valuable to walk away from.
SEO is not instant - but it compounds faster than most store owners expect when done properly. The first 100 days are about laying the foundations: restructuring taxonomy, fixing duplicate content, applying schema, and cleaning up how collections and products are linked. During this stage, results are usually modest, though many clients discover organic is already contributing more than they thought once mis-attribution is corrected. From month four onwards, growth accelerates. New and restructured collections start to rank, internal linking flows authority more effectively, and product attributes are understood more clearly by search engines. By month six, it’s common to see 50–70% year-on-year organic growth. By month twelve, doubling organic revenue is a realistic target - not through gimmicks or one-off wins, but because the store’s structure now supports scale. There’s also a knock-on effect: paid campaigns perform better when landing pages are more relevant, conversion rates improve as navigation is simplified, and brand visibility grows across multiple channels. In other words, the compounding effect doesn’t stop at SEO - it lifts your entire acquisition mix.
Forecasting is where most SEO agencies mislead. They’ll show you traffic curves, keyword ranking models, or projections that don’t tie to revenue. On Shopify, the problem is worse because GA4 under-reports organic sales, shifting many into “direct” or “unassigned”. If you use those numbers as-is, you’ll underestimate the true role of organic.Our process corrects that. We take your reported organic revenue from the last 12 months and add a buffer - typically around 30% from direct and unassigned - to account for misattribution. That becomes the baseline. We then model growth conservatively in the early months, recognising that structural changes take time to show, and more aggressively from month six onwards, when compounding effects kick in. The result is a forecast you can use in financial planning. It’s not based on wishful thinking, but on what happens when product data, taxonomy, and collection structures are fixed. We make the assumptions clear, track progress against them, and adjust if reality diverges. That transparency helps our clients plan with confidence, rather than guesswork.