The 70% Problem

Welcome to the first module of the eCommerce Conversion Track. I want to open with a number that never stops getting my attention: seventy percent. That's the share of shopping carts that, on average, never result in a purchase in online retail. Imagine that in your physical store, seventy out of a hundred customers put their items back at the register and walk out. That's exactly what's happening online, except nobody tells you to your face. In this module, I'll show you why that abandonment rate isn't inevitable. It's actually the biggest untapped growth opportunity in your shop. Because every percentage point you win back here is direct, incremental revenue, with no additional ad spend required.

By the end of this module, you'll have three concrete skills. First, you'll be able to interpret the Baymard benchmark for your shop and judge whether you're above or below the industry average. Second, you'll translate abandonment rates into real euros, which is a key skill when you need to make the internal case for optimization budgets. Third, you'll know how to prioritize the three levers that deliver the biggest impact in almost every shop: the checkout itself, the mobile experience, and ongoing customer retention. That foundation sets you up for everything that follows in the next modules.

Before we get into the data, two quick questions to consider. Take a moment and estimate: how many carts go unpurchased on average? Then take it one step further. Even if the revenue is gone, what did that customer already cost you before they left? That second question takes us straight to the core economic calculation. There's no right or wrong answer here, just an honest look at where things stand. And that honest look is exactly the starting point we want to work from.

The practical value here for you as a shop decision-maker is enormous. If you don't know your abandonment rate, you're flying blind. If you do know it, you can set priorities. Because the customer who abandoned isn't some random visitor. They had already shown purchase intent by adding something to their cart. You acquired them through SEO, ads, email, or content. That money is already spent. When they leave now, the loss hits twice: the revenue you didn't make plus the acquisition costs you already incurred. That's exactly why focusing on conversion pays off more than buying the next round of traffic.

The Baymard study is the most frequently cited data point in eCommerce. It's built on massive datasets spanning multiple industries, and it shows that nearly 70% of all carts go unpurchased. This isn't a temporary blip or a measurement error. Shops that come in below that number are converting better than the market. Shops that land well above it are leaving money on the table every single month, and not just the lost revenue but also the costs already spent to bring that visitor in. I use this benchmark in almost every initial conversation because it immediately shows where the opportunity lives.

Imagine seventy out of a hundred customers in your brick-and-mortar store putting their items back at the register and walking out. That's exactly what happens online, except nobody tells you to your face. The shopping cart is the moment of highest purchase intent. Someone who abandons at this point wasn't a random visitor; they were a hot lead. That's precisely what makes this stage so valuable: you've already paid to acquire that customer, regardless of the channel. Every percentage point you recover is especially valuable because you're pulling it from traffic you've already paid for.

A concrete example puts the potential in perspective. A shop with €50,000 in monthly revenue, an average order value of €50, and a 70% abandonment rate had 3,333 carts. Drop the abandonment rate by just one percentage point and you get 33 additional purchases, which works out to around €1,650 in extra monthly revenue, or just under €20,000 per year. No extra traffic, no extra budget. This is the moment shop owners realize that conversion optimization isn't a design question; it's an economic one.

Opportunity cost is the hidden killer. You pay for ten clicks and get three purchases. The other seven clicks are sunk costs, unless you win them back later. Reducing abandonment doesn't just boost revenue; it improves the efficiency of your entire marketing mix. That's why conversion optimization raises return on ad spend over the long term. In my own projects, I consistently see shops come out of three months of CRO work with significantly better ROAS, without changing a single bid in the ad account.

A lot of shop owners keep buying new traffic every month instead of making their existing traffic more profitable. The lever is in the checkout, not in the ad account. More traffic at the same conversion rate means you're pumping more water through the same pipe. Conversion optimization widens the pipe. And that effect hits every channel at once: SEO, paid ads, email, social, direct. My consistent recommendation: fix your conversion rate before you increase your traffic budget. The order you do things in is what separates growing margins from growing frustration.

Sixty to seventy percent of your visitors are on their phones. When mobile conversion drops, your overall marketing ROI drops with it, regardless of what your desktop numbers look like. In many shops, the mobile conversion rate runs well below the desktop rate. That's usually not a traffic problem; it's a UX problem: too many fields, buttons that are too small, load times that are too long. Taking the mobile checkout experience seriously is where the biggest gains are. I've worked with shops that generated more revenue purely from optimizing their mobile checkout page than from a complete desktop homepage redesign.

The checkout is the gateway to your customer relationship. Win here, and you win twice: once on the first purchase, and again on every repeat purchase. A customer who has already bought from you costs significantly less to re-engage than a brand-new customer. That's why looking at checkout abandonment alone only tells half the story. The full story is lifetime value: every abandonment you prevent is potentially a customer who keeps coming back. In that sense, improving your checkout is an investment in your customer base, not just in next month's revenue.

A simple comparison shows the power of conversion. Two shops, identical traffic, identical order value, identical budget. Shop A converts at two percent, Shop B at three percent. That one percentage point difference means two hundred additional orders per month and sixteen thousand euros more in revenue. It shows how much faster conversion optimization works than opening a new traffic channel. And the best part: the effect repeats every single month. It's not a one-time win, it's a permanent improvement to your economics.

Keep this formula in mind: revenue equals visitors times conversion rate times average order value. When visitors and order value stay constant, conversion rate is the deciding lever. And the key advantage: an improvement in conversion rate applies to every single visitor you already have. You don't need to wait for new markets or free up more budget. That's exactly why I love this calculation. It turns what looks like a soft design question into a hard economic decision.

In this example, just one percentage point less abandonment translates to nearly fifty thousand euros in additional revenue per year. That might sound small, but it isn't. Small checkout improvements have a large financial impact because they repeat every month. Unlike a one-time traffic purchase, a better conversion rate keeps paying off. I haven't seen a single shop where this calculation didn't hold up, as long as the baseline numbers are honest and abandonment rates are analyzed separately by device and traffic source.

More budget doesn't mean proportionally more customers. At some point, every new click gets more expensive. That's the economics of diminishing returns. If you're paying for ten clicks and only getting three purchases, every additional click will keep eating into your margin. Conversion optimization breaks that cycle by getting more out of the traffic you already have. It reduces your effective acquisition costs without having to raise your bids. That's why I often describe conversion optimization as the better ROAS lever.

CAC and CRO aren't opponents, but their economic logic is fundamentally different. CAC buys new demand. CRO uses existing demand. As markets get more expensive, CAC rises automatically. CRO, on the other hand, works with the traffic you've already paid for. That's why conversion optimization often pays for itself within just a few weeks, while a new traffic channel can take months to become profitable. When I'm planning with clients, I always look at the conversion rate first before we talk about increasing budgets.

Do this now. Those three numbers will tell you more about your growth potential than any trend report. Start with your cart abandonment rate, then add your mobile conversion rate and your average order value. Next, calculate what one percentage point less abandonment would mean in euros. That number is your personal potential, and the foundation for every decision you make in this track. Take about twenty minutes for this. Honest numbers are the foundation of any good optimization.

These three mistakes cost money, consistently. Good analysis separates by device, source, and order value. That's the only way to find the real lever. If you say 'that's normal for us,' you're confusing average with optimal. And if you're combining mobile and desktop, you're often hiding a massive mobile optimization opportunity. Separating the data properly is the first step toward the right diagnosis. I've seen shops that were proud of an overall abandonment rate of sixty-five percent, until we looked at mobile separately and found seventy-seven percent.

The same revenue figure can point to three very different diagnoses. Shop A is right at the average, so a systematic checkout review makes sense. Shop B is already below average, so the next lever is probably mobile conversion and repeat purchases. Shop C is well above average, and hidden costs, shipping fees, or unclear pricing are often the fastest thing to fix. Your abandonment rate tells you where to focus next. That's why it's the most important diagnostic number in e-commerce, in my view.

The core idea in three sentences: more traffic isn't the answer. Better conversion from your existing traffic is. The 70% problem isn't inevitable. It's the biggest growth opportunity in most shops. Every percentage point you win back pays off directly in euros, and it compounds over time. If you take just one thing from this module, you're already ahead of most of your competitors.

These three habits are what separate shops that talk in numbers from shops that talk in assumptions: euros instead of percentages, mobile separated out, checkout first. Apply just these three principles in your next strategy meeting and you'll already have an edge. You'll also find that budget decisions get a lot easier, because you're calculating instead of guessing.

In the next module, we'll look at why more traffic doesn't help as long as your conversion rate stays the same, and when it actually makes sense to buy traffic. Until then, keep your three numbers handy. And remember: conversion optimization isn't a design question, it's an economic one. It starts with the visitors you already have and makes every future click cheaper.