Bridging the Gap Between Advertising and the Corner Shop

With Retail Advertising Expert, Kareem Ameen

Kareem Ameen, Cofounder and CEO of Corner Collective, highlights the underestimated role corner shops play in UK retail and how the advertising blind spots there can be solved.

What led up to the aha moment during your time in Fast-Moving Consumer Good (FMCG) digital strategy roles where you realized independent corner shops were an overlooked “convenience blind spot”?

It might be the performance marketer obsession in me, but I’ve always been fixated on attribution. About three years ago, I was at Publicis managing media across some of the biggest (FMCG) portfolios in the world, running campaigns across every major retail media platform. The data was excellent for the big grocers and delivery platforms. But then you look at the numbers: UK convenience does roughly £54B ($73B USD) a year in grocery sales. That’s around 30% of all grocery spending. Which means, for every campaign we ran, roughly every third sale was completely invisible. We were likely driving those purchases with our digital activity, but we couldn’t prove it. If you could recover attribution on even a fraction of that, measured ROAS would improve significantly. That’s not a small optimization. That’s a structural unlock.

On a personal level, it was staring me in the face. When I lived in New York and now in London, my local independent shop was never my main weekly shop, but I used it constantly. Quick impulse buys, grabbing something when the big grocers are closed. Every one of those transactions involves an FMCG product. And every one of them is invisible to the brand that made it.

The other thing I noticed is that, as retail media budgets keep increasing into the established platforms, you’ll eventually hit diminishing returns. CPMs rise. Incrementality flattens. The next marginal unit of return on ad spend (ROAS) has to come from somewhere new. That unmeasured 30% of grocery sales is the most obvious place to find it.

But what made me actually leave the agency world and build this was the other side of the equation. Retail media is now the highest-margin product a grocer can sell. The major retailers are using that revenue to fund better loyalty, lower prices, and deeper digital infrastructure. Independent retailers, who generate a third of grocery sales, capture none of that upside. Their margins are shrinking while the gap compounds every quarter. That felt structurally wrong. Not in a sentimental way, but economically. So Corner Collective was built to be a genuine win-win: brands unlock attribution on the 30% of sales they currently can’t see, and a portion of that media spend flows back into independent retail. The brand gets better data. The local shop gets a revenue line it’s never had.

When you founded Corner Collective and transitioned out of large agency consulting, how did you go about building trust with small retailers?

The biggest adjustment was learning to translate. In the agency world you talk about conversions and incremental sales lift. A retailer talks about sell-through and whether customers are coming back. Both sides are measuring whether a promotion moved product. Same event, different vocabulary. So trust-building started with us learning their language, not asking them to learn ours.

What genuinely impressed me was how fast independent retailers grasped the opportunity. Most had never heard the term “retail media.” But when you explain how the major grocers monetise their loyalty and shopper data, and then point out that their store generates the same kind of data, the penny drops in about thirty seconds. They understood the model intuitively, probably better than some people in media I’ve worked with. The challenge was never their comprehension. It was making sure the economics genuinely worked for them, not just for the brands.

In an era of Amazon dominance, how do apps like K-Card help corner shops compete on personalization without massive budgets?

One stat reframes this question: In Europe, 80% of retail purchases still happen in-store. Amazon is obviously a force, but the vast majority of FMCG transactions still happen at a physical shelf. The corner shop isn’t competing with Amazon. It’s a completely different use case. Different mindset, different basket, different purchase trigger. When you pop into your local shop for a drink on the way home, that’s not a transaction Amazon lost. It’s one that was never theirs to begin with. So the real question isn’t how independents compete with e-commerce. It’s how they get better at being what they already are.

From a personalization standpoint, AI has genuinely leveled the playing field. What large language models do best is understand language, and purchase data on a receipt is a language. From a few weeks of receipt data we can infer whether someone is a single household or a family, whether they’re buying eggs for brunch or baking a cake, what their replenishment cycles look like. That kind of insight used to require massive data science teams. Now the infrastructure cost is a fraction of what it was even two years ago, which is exactly what makes it viable for independent retail.

For some of the biggest FMCG brands in the world, convenience is where a huge proportion of their volume actually moves. And right now it’s the one channel they can’t measure.

What’s the biggest misconception marketers have about reaching the independent retail sector, and how does Corner Collective debunk it?

Honestly, most marketers we speak to understand the blind spot immediately. Brands especially, they know their own channel split better than anyone. The real misconception is about scale. People hear “independent convenience” and picture a handful of small shops in London. The reality is very different.

There are over 50,000 independent convenience stores across the UK. As mentioned earlier, that’s £54B ($73B USD) in grocery sales. A third of them are in rural areas where they’re the only shopping option. Another third are in suburban towns sharing a high street [equivalent to a US main street] with a single supermarket. The reliance on them is enormous. And our network of digital screens at the point of sale is now around 3,500. To put that in perspective, one of the largest out-of-home networks in the UK runs about 3,000 screens on motorways. Scale isn’t the problem people think it is.

The other misconception is that convenience is a small-brand channel. It’s the opposite. Overall, convenience stores account for around 30% of UK grocery sales. But for impulse-driven categories like energy drinks, soft drinks, and alcohol, that share far exceeds 30%. For some of the biggest FMCG brands in the world, convenience is where a huge proportion of their volume actually moves. And right now it’s the one channel they can’t measure.

What’s one campaign metric you’ve come to think about differently through the lens of corner stores?

The metric we’re most focused on isn’t a traditional one. We call it time to target, which is essentially how precisely you can reach a shopper at the moment they’re actually in market for a product.

The beauty of convenience is that it’s instant consumption. When someone buys a drink at a corner shop, they’re consuming it now. In a supermarket you’re stocking up for a week or a month. That difference matters enormously for prediction. Because convenience purchases are frequent, small-basket missions with near-zero gap between buying and consuming, our models can learn individual replenishment cycles with surprising accuracy.

Here’s a simple example. You’re not in market for toothpaste every day. You’re probably in market once every six weeks. Every ad you see outside that window is wasted spend. What our AI does is predict the seven-day window before you’re likely to replenish, and that’s when we signal the brand. At that moment you’ve got two completely different briefs you can activate: the incumbent brand making sure they retain you, or a competitor trying to break your loyalty with a targeted offer. Same signal, two media strategies. That’s a metric that doesn’t exist anywhere else in convenience retail today.

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What role do you see programmatic advertising playing in connecting FMCG brands directly to independent retailers?

Think about how supply-side platforms (SSPs) aggregated the long tail of the internet [the vast array of smaller websites outside of Google, Facebook, etc.]. Before they existed, you couldn’t efficiently buy inventory across thousands of small publishers. You’d have to plan site by site. That’s exactly the problem in independent retail today. You can’t plan media across 50,000 shops individually. Programmatic is the only way this channel becomes buyable at scale.

That’s core to what we’ve built. Agencies and brands can target convenience shopper segments through the demand-side platforms (DSPs) they already use, run campaigns across our in-store screen network programmatically, and measure online-to-offline attribution, meaning they can connect a digital ad to an actual in-store purchase. That closed loop between digital exposure and till transaction is what makes this a performance channel, not just an awareness play.

How do cultural or community ties in UK high streets influence effective advertising compared to e-commerce platforms?

There’s a reason people know their corner shop owner’s name. You walk in, they recognize you, they might recommend something. That relationship is fundamentally different from a supermarket aisle or a website algorithm. When a relevant offer reaches a shopper through their local shop it carries that implicit trust. It feels like a recommendation, not an ad. That context is incredibly powerful and no e-commerce platform can manufacture it.

The other dimension is that independent shops are culturally specific in a way chains can’t be. A corner shop in Southall stocks completely different products to one in rural Devon. When you aggregate purchase data across thousands of these stores, you’re capturing real local behaviour. Which communities over-index on halal, which skew toward craft beer, where students are buying energy drinks at midnight. That hyper-local intelligence feeds directly into dynamic creative. Instead of running one national message, a brand can tailor creative by community, by daypart, by store cluster. The cultural specificity of independent retail isn’t just charming. It’s a targeting signal that standardized chains physically can’t replicate.

What’s the toughest hurdle in getting small shop owners to adopt digital tools, and how are you overcoming it?

The toughest hurdle in convenience tech has always been the same: You can’t ask a shop owner running a store with one or two people to install hardware, train staff, or change how they operate. Previous attempts at digitizing this channel failed because they required adoption at store level, which creates a dependency that kills scalability.

We removed that dependency entirely. Our app is built around receipt scanning. The shopper photographs their receipt, our AI reads it, and the purchase data flows into our platform. The retailer doesn’t change a thing. We formally onboarded 25 stores and over 900 now appear in our data because consumers took the app to shops we’d never spoken to. The network grows because shoppers carry it with them.

When we work with larger symbol groups [convenience franchises] and forecourt [gas station convenience] operators, we integrate directly with ePOS systems for richer real-time data. But the baseline network expands without any retailer needing to do anything. That’s the architectural decision that makes this buildable.

From your founder lens, what emerging trend in marketing do you think will disrupt FMCG the most by 2030?

The cost of understanding whether your advertising worked is about to collapse. Right now, brand lift studies and incrementality testing are expensive, slow, and dependent on panel-based methodologies that are increasingly unreliable. A single lift study can cost tens of thousands and take months to deliver results.

What AI is making possible is synthetic audience modeling. You train agents on real first-party behavioral data, seed audiences based on actual purchase patterns, and simulate how those audiences would respond to creative, pricing, or product changes. Not as a replacement for real measurement, but as a way to test and iterate before you spend. The brands that adopt this will be running dozens of simulated tests for every one test a competitor runs through traditional panels. By 2030 I think panel-based measurement as we know it will be in serious decline.

I think there’s something important about building an ad-funded model where the consumer understands why they’re seeing an offer and benefits directly from participating. That’s not just compliance. That’s how advertising should work.   

Beyond business, what broader societal impact do you hope Corner Collective has on local communities?

The retail media economy right now is extractive. Data flows up to the big platforms, media margins concentrate at the top, and neither the independent retailer nor the shopper sees much benefit. We want to reverse that.

For retailers, it’s about democratizing access to revenue that’s only ever been available to the major chains. Media margins are the highest-margin product a grocer can generate. Independent stores produce a third of grocery sales but currently capture none of that upside. Corner Collective changes that.

For shoppers, it’s about a transparent value exchange. People on our platform know exactly what data they’re sharing and they’re rewarded for it. Not buried in a privacy policy. Actually rewarded. I think there’s something important about building an ad-funded model where the consumer understands why they’re seeing an offer and benefits directly from participating. That’s not just compliance. That’s how advertising should work.

The end result is that brand spend funds offers for real people at real local shops. The money circulates in the community instead of extracting from it.

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About Kareem Ameen