How and why you need to measure your abandonment rates

Write me a tragedy in three words… abandoned shopping carts.


Is there anything worse than knowing that a customer got all the way to your checkout and then changed their mind and left the website? Abandoned carts are the greatest tragedy for any eCommerce business. And yet our recent insight report found that a massive 42% of retailers aren’t even measuring this metric. Knowing the extent of the issue is the first step to improving on it and winning back those sales!


A third of the surveyed participants that weren’t measuring cart abandonments said it was because they don’t know how. This blog is for you!


At Fetchify we talk a lot about helping businesses to improve checkout conversion rates (reducing abandonment rates) but today we’re going to take a step back and look at measuring those rates so you have your starting point to improve from.


What are conversion rates and abandonment rates?


So the first thing to understand about these metrics is that they are two sides of the same coin – conversions are the customers that started the checkout process and completed the transaction, abandonments are the people that started the checkout process but then left without making a purchase. We don’t just want to celebrate conversions, we want to tackle the abandonment rate – the money that is walking away from your checkout.


Everything about your online shop is carefully designed to entice the visitor, to persuade them to buy your products. How many potential customers are being won over by your website and your products, adding items to their basket, but then being put off by something in the checkout journey and leaving?


How do you measure your abandonment rate?


Depending on your eCommerce platform, your metrics and reports will take different forms, but have a look at your specific reporting and find these two important numbers.


  • The number of initiated transactions – that is the number of visitors who place items in their basket
  • The number of completed transactions


Then you need this simple equation to work out your abandonment rate:


1 – (number of completed transactions / number of initiated transactions) x100 = abandonment rate


Once you have that figure, you have a black and white incentive in front of you to streamline your checkout UX and win back those customers before they leave. A clear indicator of the ROI to be gained through conversion rate optimisation.


How does your store measure up?


The industry average across eCommerce is an abandonment rate of 68%. That’s 68 out of every 100 customers that start the checkout journey and then leave without finishing the transaction. How does your store measure up?


If your abandonment rate is lower than this average congratulations! But that doesn’t mean there isn’t still room for improvement. Every tweak that makes your checkout more user-friendly, will convince more potential customers to stick with you and cross the finish line of the transaction.


A high abandonment rate can indicate issues with your checkout process that are turning customers away. Perhaps your shipping costs are too high, your payment options don’t meet expectations, or your forms are too long and challenging. But now you know what your starting point is, you will be able to tell if any adjustments you make are improving the experience for your customers. They will tell you with their wallets.


The good news is, we can help


57% of the businesses we surveyed in our Checkout Insight Report claimed a higher than average conversion rate/lower than average abandonment rate. Of the adjustments they had made to improve their checkout, the three ranked most highly by our participants were:


  • Address Lookup to speed customers through form-filling
  • Abandoned cart discounts to entice customers back
  • Alternative payment options such as digital wallets to make payments easier and suit any preference.


If you are already a Fetchify customer, you are already ahead of the curve. Our Address Auto-Complete API, when added to your checkout means your customers can add their shipping and billing addresses with fewer keystrokes. That means less dwell time and less time to reconsider a purchase. Getting customers through your checkout quickly and efficiently is the key to great conversion and our Address Auto-Complete can reduce keystrokes by as much as 80%.


Sound good? You’re just a few simple steps from a better optimised checkout and even better conversion rates. Get in touch today.

About Fetchify


Fetchify’s address lookup and data validation platforms cover more than 250 countries, and increases customer conversion with the fastest, most accurate customer data capture. Fetchify’s flagship products – Address Auto Complete and Postcode Lookup – reduce friction at the checkout, and also significantly increase the number of successful deliveries. Founded in 2008, Fetchify processes millions of data transactions every day for clients ranging from startups to established high-street names, and offers a full suite of data validation tools, including phone, email and bank, too.

Photo of fields and countryside with Fetchify traditional, postal and ceremonial counties
By Fiona Paton October 27, 2025
Counties are one of those quiet curiosities of UK addressing - the kind of data field that often sparks more debate than you’d expect. Should they be included? Which kind? And do we even need them anymore? As with so many things in data, the answer is: it depends. Three Counties, One Country In the UK, the word “county” doesn’t describe one single thing. It describes at least three - each with its own history, purpose, and quirk: Postal counties were once the backbone of the Royal Mail’s sorting system. They helped machines (and people) get mail to the right place efficiently. But in 1996, Royal Mail officially dropped them, and by 2010, county data was removed from the official address dataset entirely. For the postal system, counties simply no longer exist. Traditional (or historic) counties trace their origins back centuries — the counties of record, land, and local identity. They don’t match today’s administrative borders, but they persist in cultural memory and local pride. To some, these are the real counties of England. Ceremonial counties , meanwhile, are what most modern maps and local authorities recognise today. They loosely align with lieutenancy areas — the basis for everything from local government to BBC weather maps. And just to add another layer, the UK also has metropolitan and non-metropolitan counties used for administration, because nothing in British geography would be complete without a little complexity. So… Do We Still Need Them? For Royal Mail, the answer is simple: no. County names are ignored by modern sorting systems, and they don’t affect delivery. But in the real world of databases, integrations, and overlapping address systems, the answer is less clear-cut. Counties still appear because: Some legacy systems require a county field for validation. Some organisations and couriers still use them for regional routing. And sometimes, humans just like them — they help people orient themselves, especially in places with duplicate town names. It’s a reminder that addresses aren’t just for machines. They’re for people, too — and people often bring context, emotion, and memory into their sense of “place.” The Bigger Picture: One World, Many Formats  Counties are just one example of how geography, history, and technology collide in addressing. Every country — sometimes every region — does it differently. Some use regions, provinces, or prefectures. Some rely on hierarchies of towns and municipalities. Others have no subdivisions at all. For global platforms and data validation providers, that diversity creates a fascinating challenge: how do you standardise something that isn’t standard anywhere? It’s the quiet work of address intelligence — understanding not just where something is, but how people describe it. Why This Matters The goal of address accuracy isn’t to erase local identity or force uniformity; it’s to understand and support variation intelligently. Whether you’re sending a parcel, mapping customer data, or building systems that work across borders, knowing how and why these differences exist is part of getting the data right. So next time you’re faced with that little “County” field — think of it not as a relic, but as a reminder. Behind every address is a history, a structure, and a story. And understanding that story is where true data quality begins.
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