{"id":5368,"date":"2026-08-11T20:00:00","date_gmt":"2026-08-11T20:00:00","guid":{"rendered":"https:\/\/yamuparkoti.com\/?p=5368"},"modified":"2026-08-08T03:08:24","modified_gmt":"2026-08-08T03:08:24","slug":"cart-abandonment-checkout","status":"publish","type":"post","link":"https:\/\/yamuparkoti.com\/fr\/cart-abandonment-checkout\/","title":{"rendered":"Seven in Ten Carts Are Abandoned \u2014 And That Has Not Changed Since 2010 \ud83d\uded2"},"content":{"rendered":"

Seven in ten online carts are abandoned.<\/p>\n

The exact figure is 70,22%<\/strong>, pooled from 50 separate studies (Baymard Institute, 2026).<\/p>\n

Here is the part that should bother you more.<\/p>\n

That number has barely moved since 2010.<\/p>\n

Fifteen years of better websites, faster phones and smarter payments. Same result.<\/p>\n

This article is not about the problem. It is about the roughly half of it that can actually be fixed. \ud83d\uded2<\/p>\n

\ud83e\uddfe Principaux r\u00e9sultats en bref<\/h2>\n\n\n\n\n\n\n\n\n\n\n\n
Mesure<\/th>\nChiffre<\/th>\nSource<\/th>\n<\/tr>\n<\/thead>\n
Average cart abandonment<\/td>\n70,22%<\/strong><\/td>\nInstitut Baymard (2026)<\/td>\n<\/tr>\n
Studies pooled for that figure<\/td>\n50<\/td>\nInstitut Baymard (2026)<\/td>\n<\/tr>\n
Range across individual studies<\/td>\n55% to 84%<\/td>\nInstitut Baymard (2026)<\/td>\n<\/tr>\n
Recoverable sales lost yearly<\/td>\n$260 billion (US + EU)<\/strong><\/td>\nInstitut Baymard (2026)<\/td>\n<\/tr>\n
Possible conversion gain<\/td>\n35.26%<\/td>\nInstitut Baymard (2026)<\/td>\n<\/tr>\n
Form fields that could be removed<\/td>\n20% to 60%<\/strong><\/td>\nInstitut Baymard (2026)<\/td>\n<\/tr>\n
Quit because checkout was too long<\/td>\nNearly 1 in 5<\/td>\nInstitut Baymard (2026)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\ud83e\uddca The Half You Cannot Fix<\/h2>\n

Start here, because most advice skips it.<\/p>\n

A large share of abandonment is not a failure at all.<\/p>\n

People use carts as wish lists. They compare prices across shops. They check what delivery would cost.<\/p>\n

Adding to a cart is often research, not intent to buy.<\/strong><\/p>\n

That behaviour is normal and permanent.<\/p>\n

\n

\ud83e\udd67 Abandonment: what is fixable and what is not<\/p>\n

\n\n\n70,2%<\/text>\nabandon<\/text>\nBrowsing, comparing \u2014 not fixable<\/text>\nCheckout friction \u2014 fixable<\/text>\nSplit is indicative; Baymard reports causes, not a single ratio.<\/text>\n<\/svg>\n<\/div>\n

Why chasing zero is a trap<\/h3>\n

Some shops set a goal of cutting abandonment dramatically.<\/p>\n

They then spend heavily on tactics that cannot work.<\/p>\n

You cannot design away a shopper who was never going to buy today.<\/strong><\/p>\n

Aim at the friction share instead. That part responds.<\/p>\n

What the 55% to 84% range tells you<\/h3>\n

Individual studies vary enormously (Baymard Institute, 2026).<\/p>\n

That spread reflects different shops, products and prices.<\/p>\n

A furniture shop and a takeaway app cannot share a benchmark.<\/p>\n

So your own rate matters far more than the average.<\/p>\n

\ud83d\udcb0 The $260 Billion Word: Recoverable<\/h2>\n

Estimations de Baymard 260 milliards de dollars de ventes r\u00e9cup\u00e9rables<\/strong> are lost each year across the US and EU (Baymard Institute, 2026).<\/p>\n

Recoverable is doing important work in that sentence.<\/p>\n

It is not the value of every abandoned cart.<\/p>\n

It is the portion attributable to checkout design that could be improved.<\/p>\n

Where the recoverable number comes from<\/h3>\n

Baymard runs large-scale usability testing on real checkouts.<\/p>\n

They watch people fail, then measure what fixing it is worth.<\/p>\n

That is different from surveying opinions.<\/p>\n

Observed behaviour beats reported behaviour, every time.<\/strong><\/p>\n

The 35.26% figure explained<\/h3>\n

Baymard found the average large ecommerce site could raise conversion by 35.26% through better checkout design.<\/p>\n

Note carefully. That is a relative gain, not a jump to 35% conversion.<\/p>\n

A shop converting 2% would move to roughly 2.7%.<\/p>\n

On $200,000 of yearly sales, that is about $70,000 more.<\/strong><\/p>\n

Same traffic. Same products. Better checkout.<\/p>\n

\ud83d\udcdd The Form Field Problem<\/h2>\n

This is the single most actionable finding in the research.<\/p>\n

Baymard reports most checkouts could cut 20% to 60% of their form fields<\/strong> (Institut Baymard, 2026).<\/p>\n

Every field is a small chance to stop.<\/p>\n

\n

\ud83d\udcca Typical checkout fields vs what is actually needed<\/p>\n

\n\n\n~15<\/text>\nTypical checkout<\/text>\n\n~8<\/text>\nActually required<\/text>\nIllustrative. Baymard finds 20\u201360% of fields can typically be removed.<\/text>\n<\/svg>\n<\/div>\n

Fields most shops do not need<\/h3>\n

Run through your own checkout and question each one.<\/p>\n\n\n\n\n\n\n\n\n\n\n
Champ<\/th>\nUsually needed?<\/th>\n<\/tr>\n<\/thead>\n
Company name<\/td>\nNo, unless you sell to businesses<\/strong><\/td>\n<\/tr>\n
Address line 2<\/td>\nCan be optional or hidden<\/td>\n<\/tr>\n
Phone number<\/td>\nOnly if the courier requires it<\/td>\n<\/tr>\n
Confirm email<\/td>\nNo \u2014 show what was typed instead<\/td>\n<\/tr>\n
Account password<\/td>\nNo \u2014 offer guest checkout<\/strong><\/td>\n<\/tr>\n
How did you hear about us<\/td>\nNever at checkout<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

That last row appears more often than you would think.<\/p>\n

Marketing questions belong after payment, not before it.<\/strong><\/p>\n

The billing address duplication<\/h3>\n

Many checkouts ask for shipping, then billing, separately.<\/p>\n

For most orders they are identical.<\/p>\n

Default to “same as shipping” and let people change it.<\/p>\n

That one change removes several fields for nearly everyone.<\/p>\n

\ud83d\udeaa The Forced Account Problem<\/h2>\n

Requiring an account before purchase is among the most costly choices a shop makes.<\/p>\n

The reasoning is understandable. Accounts help retention.<\/p>\n

But the timing is wrong.<\/p>\n

You are asking for commitment before you have delivered anything.<\/strong><\/p>\n

What guest checkout actually costs you<\/h3>\n

Almost nothing, and this surprises people.<\/p>\n

You still capture the email address for the order.<\/p>\n

You can offer account creation on the confirmation page, after payment.<\/p>\n

At that point the person has already trusted you.<\/p>\n

The one-click follow-up<\/h3>\n

Offer to create the account with one tap after checkout.<\/p>\n

They have entered everything already. Only a password is missing.<\/p>\n

Conversion first, relationship second.<\/strong><\/p>\n

The reverse order loses both.<\/p>\n

\ud83d\udcb3 Payment Options and the Typing Problem<\/h2>\n

Every card number typed on a phone is a risk of abandonment.<\/p>\n

Mobile abandonment runs at 73% to 75%, against 65% to 68% on desktop (Baymard Institute, 2026).<\/p>\n

Typing difficulty is a large part of that gap.<\/p>\n

Why digital wallets matter so much<\/h3>\n

They remove typing entirely.<\/p>\n

The card details are already stored on the device.<\/p>\n

Payment becomes a fingerprint or a face scan.<\/p>\n

For mobile shoppers, wallet support is not a nice extra. It is the fix.<\/strong><\/p>\n

Which options to offer<\/h3>\n

Do not offer everything. Choice itself causes hesitation.<\/p>\n

Offer cards, the two major device wallets, and one local method if your market expects it.<\/p>\n

Four options is plenty. Twelve is a decision problem.<\/p>\n

Where the payment step should sit<\/h3>\n

Last. Always last.<\/p>\n

People will enter an address before they will enter a card.<\/p>\n

Asking for payment early raises suspicion before trust is built.<\/p>\n

\ud83d\udcb8 The Surprise Cost Problem<\/h2>\n

Unexpected extra costs are one of the most cited reasons for leaving.<\/p>\n

Delivery charges are the usual culprit. Taxes and fees follow.<\/p>\n

The issue is rarely the amount.<\/p>\n

A cost revealed at step four feels like a trick. The same cost at step one is just information.<\/strong><\/p>\n

How to show costs early<\/h3>\n

Put delivery cost on the product page where you can.<\/p>\n

Show a running total in the cart, not only at the end.<\/p>\n

If delivery depends on location, ask for a postcode early.<\/p>\n

People accept charges they saw coming.<\/p>\n

The free delivery threshold<\/h3>\n

If you offer free delivery above a value, say so in the cart.<\/p>\n

Show how far away they are from it.<\/p>\n

This both reduces abandonment and raises order value.<\/p>\n

It is one of very few changes that does both.<\/p>\n

\ud83d\udcc9 Where People Drop Out, Step by Step<\/h2>\n

Abandonment is not one moment. It is a leak at every stage.<\/p>\n

Mapping the funnel shows where your own money goes.<\/p>\n

\n

\ud83d\udcca A typical checkout funnel, per 1,000 carts<\/p>\n

\n\n1,000 add to cart<\/text>\n\n~500 view the cart<\/text>\n\n~360 start checkout<\/text>\n\n~298 pay<\/text>\nIllustrative funnel consistent with a 70.22% overall abandonment rate.<\/text>\n<\/svg>\n<\/div>\n

The biggest leak is usually first<\/h3>\n

Most shops lose the largest share between adding to cart and opening it.<\/p>\n

That drop is mostly browsing behaviour, not friction.<\/p>\n

The leaks worth fixing sit after checkout begins.<\/strong><\/p>\n

Someone who started entering an address wanted to buy.<\/p>\n

Measure the last step first<\/h3>\n

If you track one thing, track the step from checkout start to payment.<\/p>\n

That group showed real intent.<\/p>\n

Losing them is expensive and usually preventable.<\/p>\n

Baymard’s testing focuses on exactly this stage (Baymard Institute, 2026).<\/p>\n

\u23f1\ufe0f Speed Is a Conversion Feature<\/h2>\n

Page speed rarely appears in checkout advice. It should.<\/p>\n

Each extra second of load time gives someone a reason to give up.<\/p>\n

On mobile data, pages that feel instant on office wifi can crawl.<\/p>\n

What usually slows a checkout<\/h3>\n

Not the checkout itself. The things bolted onto it.<\/p>\n\n\n\n\n\n\n\n\n
Common cause<\/th>\nR\u00e9parer<\/th>\n<\/tr>\n<\/thead>\n
Tracking scripts on checkout pages<\/td>\nRemove all non-essential ones<\/strong><\/td>\n<\/tr>\n
Chat widgets loading early<\/td>\nLoad after the page is usable<\/td>\n<\/tr>\n
Large uncompressed images<\/td>\nCompress and resize<\/td>\n<\/tr>\n
Review widgets in the cart<\/td>\nNot needed at this stage<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The first row is the common one.<\/p>\n

Analytics scripts collecting data about abandonment can help cause it.<\/strong><\/p>\n

If you need to shrink images, our image compression tool<\/a> is free to use.<\/p>\n

A quick way to test it<\/h3>\n

Open your checkout on a phone with wifi switched off.<\/p>\n

Count the seconds until you can type into the first field.<\/p>\n

Anything over three seconds is costing you money.<\/p>\n

\ud83d\udd12 Trust Signals That Actually Work<\/h2>\n

Some shoppers leave because they do not trust the site with card details.<\/p>\n

Most trust advice is decorative. A few things genuinely help.<\/p>\n\n\n\n\n\n\n\n\n\n\n
Signal<\/th>\nDoes it help?<\/th>\n<\/tr>\n<\/thead>\n
Visible return policy at checkout<\/td>\nYes, strongly<\/strong><\/td>\n<\/tr>\n
Real contact details and address<\/td>\nOui<\/td>\n<\/tr>\n
Recognised payment logos<\/td>\nOui<\/td>\n<\/tr>\n
Clear delivery timeframe<\/td>\nOui<\/td>\n<\/tr>\n
Generic security badges<\/td>\nWeak \u2014 everyone has them<\/strong><\/td>\n<\/tr>\n
Countdown timers<\/td>\nOften harmful<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Why the return policy matters most<\/h3>\n

It answers the real question in the shopper’s head.<\/p>\n

That question is not “will you steal my card”.<\/p>\n

It is “what happens if this is wrong”.<\/p>\n

A clear return policy removes the risk of buying.<\/strong><\/p>\n

Why timers backfire<\/h3>\n

Artificial urgency is now widely recognised.<\/p>\n

Shoppers have seen countdowns reset when they reload the page.<\/p>\n

Once someone suspects manipulation, trust drops sharply.<\/p>\n

Genuine scarcity is fine. Invented scarcity is expensive.<\/p>\n

\ud83d\udcf1 Fixing Mobile Specifically<\/h2>\n

Mobile is where most traffic and most losses are.<\/p>\n

The fixes are physical rather than clever.<\/p>\n

Make targets bigger<\/h3>\n

Buttons should be comfortably tappable with a thumb.<\/p>\n

Small links placed close together cause mis-taps.<\/p>\n

A mis-tap at checkout often ends the session.<\/p>\n

Use the right keyboard<\/h3>\n

This is a small technical detail with a real effect.<\/p>\n

A number field should bring up a number keypad.<\/p>\n

An email field should show the @ symbol.<\/p>\n

Wrong keyboards add seconds and irritation to every field.<\/strong><\/p>\n

Test on real conditions<\/h3>\n

Test on a real phone, on mobile data, not office wifi.<\/p>\n

Test with one hand while standing up.<\/p>\n

That is how people actually shop.<\/p>\n

Most shop owners have never done this once.<\/p>\n

\ud83e\uddea How to Test Changes Without Fooling Yourself<\/h2>\n

Improvements are easy to imagine and hard to prove.<\/p>\n\n\n\n\n\n\n\n\n\n
R\u00e8gle<\/th>\nPourquoi<\/th>\n<\/tr>\n<\/thead>\n
Change one thing at a time<\/td>\nOtherwise you learn nothing<\/strong><\/td>\n<\/tr>\n
Wait at least two weeks<\/td>\nWeekly patterns distort short tests<\/td>\n<\/tr>\n
Compare to the same period last month<\/td>\nControls for seasonality<\/td>\n<\/tr>\n
Split mobile and desktop<\/td>\nThey behave differently<\/td>\n<\/tr>\n
Write the prediction down first<\/td>\nStops after-the-fact stories<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

That last rule is the most useful and the least used.<\/p>\n

If you predict the result before testing, you cannot fool yourself afterwards.<\/strong><\/p>\n

Watch five real people instead<\/h3>\n

If your traffic is small, statistics will not help.<\/p>\n

Watch five people try to buy something while you say nothing.<\/p>\n

Baymard’s whole method is built on this kind of observation.<\/p>\n

You will find more in thirty minutes than in a month of dashboards.<\/p>\n

\ud83d\udccb The Checkout Audit, In One Sitting<\/h2>\n

Here is a practical sequence that takes about an hour.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n
\u00c9tape<\/th>\nCe qu'il faut faire<\/th>\n<\/tr>\n<\/thead>\n
1<\/td>\nBuy something from your own shop, on a phone<\/td>\n<\/tr>\n
2<\/td>\nCount every form field<\/strong><\/td>\n<\/tr>\n
3<\/td>\nMark each one required, optional or removable<\/td>\n<\/tr>\n
4<\/td>\nCheck when delivery cost first appears<\/td>\n<\/tr>\n
5<\/td>\nCheck whether an account is forced<\/td>\n<\/tr>\n
6<\/td>\nCheck which wallets are offered<\/td>\n<\/tr>\n
7<\/td>\nNote where the return policy is visible<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Most shops find three obvious fixes in that hour.<\/p>\n

The tooling side is covered in our guide des logiciels pour petites entreprises<\/a>.<\/p>\n

Fix in this order<\/h3>\n

Remove fields first. It costs nothing and cannot break trust.<\/p>\n

Then show costs earlier. Then add guest checkout.<\/p>\n

Then add wallets, which usually needs developer time.<\/p>\n

Cheapest and safest first, always.<\/strong><\/p>\n

\ud83d\udd2c Why Baymard’s Data Is Worth Trusting<\/h2>\n

Not all ecommerce statistics deserve equal weight.<\/p>\n\n\n\n\n\n\n\n\n\n
Fonctionnalit\u00e9<\/th>\nPourquoi c'est important<\/th>\n<\/tr>\n<\/thead>\n
Pools 50 separate studies<\/td>\nNot one survey’s quirks<\/strong><\/td>\n<\/tr>\n
Based on observed testing<\/td>\nWatches behaviour, not opinions<\/td>\n<\/tr>\n
Publishes the range, not just average<\/td>\nAdmits variation<\/td>\n<\/tr>\n
Consistent method over 15 years<\/td>\nTrends are real<\/td>\n<\/tr>\n
Sells research, not checkout software<\/td>\nNo product to flatter<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

The stability of the 70% figure is itself evidence of quality.<\/p>\n

A number that refuses to move despite pressure to look better is usually honest.<\/strong><\/p>\n

Why observed testing beats surveys here<\/h3>\n

Ask people why they abandoned a cart and they will give a tidy answer.<\/p>\n

Watch them abandon one and you often see something else entirely.<\/p>\n

People misremember, and they explain their behaviour after the fact.<\/p>\n

They rarely notice the small friction that actually stopped them.<\/strong><\/p>\n

That is why usability testing finds problems surveys miss.<\/p>\n

The limits worth naming<\/h3>\n

Testing skews toward larger sites in developed markets.<\/p>\n

The 35.26% uplift is what is possible, not what is typical.<\/p>\n

And usability testing uses small groups by design.<\/p>\n

Those are reasonable trade-offs, not flaws, but they shape how you should apply the numbers.<\/p>\n

\ud83d\udce7 Recovery Emails: What They Can and Cannot Do<\/h2>\n

Most shops reach for abandonment emails first. They are useful but limited.<\/p>\n

They work on the group that intended to buy and got interrupted.<\/p>\n

They do nothing for the browsing majority.<\/p>\n

A recovery email is a reminder, not a repair.<\/strong><\/p>\n

Why fixing checkout beats emailing<\/h3>\n

An email asks someone to return and face the same broken checkout.<\/p>\n

If the reason they left is still there, they will leave again.<\/p>\n

Fix the cause first. Then the reminder has somewhere good to send people.<\/p>\n

What a sensible sequence looks like<\/h3>\n\n\n\n\n\n\n\n
Timing<\/th>\nContenu<\/th>\n<\/tr>\n<\/thead>\n
About 1 hour<\/td>\nSimple reminder, no discount<\/td>\n<\/tr>\n
About 24 hours<\/td>\nAddress a likely objection<\/strong><\/td>\n<\/tr>\n
About 3 days<\/td>\nOptional, only if margin allows a discount<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Note the first row carries no discount.<\/p>\n

Discounting immediately trains people to abandon carts on purpose.<\/strong><\/p>\n

That is a habit you can create by accident and struggle to undo.<\/p>\n

The consent point<\/h3>\n

You can only email people who gave you an address and agreed to contact.<\/p>\n

Rules differ by country and are enforced more than they used to be.<\/p>\n

Collecting the email early in checkout is fine. Emailing without consent is not.<\/p>\n

\ud83c\udf0d Why Local Payment Habits Change Everything<\/h2>\n

Checkout advice written for one market often fails in another.<\/p>\n

Payment preference is strongly regional.<\/p>\n\n\n\n\n\n\n\n\n
Market pattern<\/th>\nWhat it means for checkout<\/th>\n<\/tr>\n<\/thead>\n
Card-dominant markets<\/td>\nWallets matter most on mobile<\/td>\n<\/tr>\n
Bank-transfer markets<\/td>\nCards alone will lose sales<\/strong><\/td>\n<\/tr>\n
Cash-on-delivery markets<\/td>\nTrust concerns dominate<\/td>\n<\/tr>\n
Instalment-heavy markets<\/td>\nPrice framing changes behaviour<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Global averages hide all of this.<\/p>\n

If you sell across borders, your abandonment rate is really several different rates.<\/strong><\/p>\n

How to find your own pattern<\/h3>\n

Split your checkout data by country before drawing conclusions.<\/p>\n

One weak market can drag an otherwise healthy average down.<\/p>\n

That looks like a checkout problem when it is a payment-method problem.<\/p>\n

Our growth analysis<\/a> covers how uneven regional markets are.<\/p>\n

\ud83d\udeab What This Data Does Not Tell You<\/h2>\n

It does not give you a target.<\/strong> The 55\u201384% range is too wide for that.<\/p>\n

It does not account for your prices.<\/strong> Expensive items are abandoned more.<\/p>\n

It does not cover every market.<\/strong> Payment habits vary hugely by country.<\/p>\n

It cannot separate browsing from friction precisely.<\/strong> Nobody can.<\/p>\n

The uplift figure is a ceiling.<\/strong> Most shops will capture part of it.<\/p>\n

\ud83c\udfc1 La version courte<\/h2>\n

70.22% of carts are abandoned, and that has held since 2010 (Baymard Institute, 2026).<\/p>\n

Roughly half of that is ordinary browsing you cannot remove.<\/p>\n

The rest is friction, and friction is fixable.<\/p>\n

Cut form fields, show costs early, allow guest checkout, support wallets.<\/strong><\/p>\n

Baymard puts the possible gain at 35.26% and the lost value at $260 billion a year.<\/p>\n

None of the fixes are clever. All of them are boring.<\/p>\n

That is why they still work fifteen years later. \ud83d\uded2<\/p>\n

\u2753 Questions fr\u00e9quemment pos\u00e9es<\/h2>\n

What is a good cart abandonment rate?<\/h3>\n

There is no single good number. The average is 70.22%, but studies range from 55% to 84% (Baymard Institute, 2026). Compare against your own past performance.<\/p>\n

Why is mobile abandonment higher?<\/h3>\n

Mobile runs 73\u201375% against 65\u201368% on desktop. Typing is harder, screens are smaller, and people often shop while doing something else.<\/p>\n

What is the single best fix?<\/h3>\n

Removing unnecessary form fields. Baymard finds most checkouts can cut 20\u201360% of them, and it costs nothing to do.<\/p>\n

Should I force customers to create an account?<\/h3>\n

No. Offer guest checkout and invite account creation after payment, when trust already exists.<\/p>\n

Do trust badges help?<\/h3>\n

Generic security badges do little because every site has them. A visible return policy and real contact details help far more.<\/p>\n

Are countdown timers effective?<\/h3>\n

Often harmful. Shoppers recognise artificial urgency, and suspicion damages conversion more than urgency helps it.<\/p>\n

How much money is at stake?<\/h3>\n

Baymard estimates $260 billion in recoverable sales lost each year across the US and EU.<\/p>\n

How long should I run a test?<\/h3>\n

At least two weeks, comparing to the same period previously, with mobile and desktop measured separately.<\/p>\n

Do abandonment recovery emails work?<\/h3>\n

They help with people who were interrupted, not with people who were browsing. Fix the checkout first, or the email sends them back to the same obstacle.<\/p>\n

Should the first recovery email include a discount?<\/h3>\n

No. Discounting immediately teaches shoppers to abandon carts deliberately, which is a habit that is hard to undo.<\/p>\n

Why does my rate differ from other shops?<\/h3>\n

Price, product type and country all move it. Bank-transfer and cash-on-delivery markets behave very differently from card markets.<\/p>\n

Does page speed affect abandonment?<\/h3>\n

Yes. Tracking scripts and chat widgets on checkout pages are a common cause, and they are usually safe to remove.<\/p>\n

How many people should I watch testing my checkout?<\/h3>\n

Five is enough to find the obvious problems. Usability testing deliberately uses small groups.<\/p>\n

O\u00f9 puis-je consulter l'\u00e9tude originale\u00a0?<\/h3>\n

Baymard publishes its cart abandonment statistics openly. The link is in the references below.<\/p>\n

\ud83d\udcda R\u00e9f\u00e9rences<\/h2>\n

Institut Baymard. (2026). Statistiques sur le taux d'abandon de panier<\/em>Consult\u00e9 le 8 ao\u00fbt 2026 sur https:\/\/baymard.com\/lists\/cart-abandonment-rate<\/a><\/p>\n

Bureau du recensement des \u00c9tats-Unis. (2026). Ventes trimestrielles du commerce \u00e9lectronique de d\u00e9tail : Premier trimestre 2026<\/em>Consult\u00e9 le 8 ao\u00fbt 2026 sur https:\/\/www.census.gov\/retail\/ecommerce.html<\/a><\/p>\n

Shopify. (2026). Statistiques et tendances mondiales du commerce \u00e9lectronique<\/em>Consult\u00e9 le 8 ao\u00fbt 2026 sur https:\/\/www.shopify.com\/enterprise\/blog\/global-ecommerce-statistics<\/a><\/p>\n

IBM. (2026). Co\u00fbt d'un rapport sur une violation de donn\u00e9es en 2026<\/em>Consult\u00e9 le 8 ao\u00fbt 2026 sur https:\/\/www.ibm.com\/reports\/data-breach<\/a><\/p>\n

Institut Stanford pour l'intelligence artificielle centr\u00e9e sur l'humain. (2026). Le rapport sur l'indice d'IA 2026<\/em>Consult\u00e9 le 8 ao\u00fbt 2026 sur https:\/\/hai.stanford.edu\/ai-index\/2026-ai-index-report<\/a><\/p>\n

Lectures compl\u00e9mentaires sur ce site<\/h3>\n

Our ecommerce growth analysis<\/a> puts these figures in market context. For the software side of running a shop, see the guide des petites entreprises<\/a>. Shops holding customer data should also read our breach cost analysis<\/a>.<\/p>\n

\u00c0 propos de cette analyse<\/h3>\n

Figures come from Baymard Institute, which pools 50 studies and conducts its own large-scale usability testing. Where a split between fixable and unfixable abandonment is shown, it is labelled as indicative, because Baymard reports causes rather than a single ratio. Figures were checked on August 8, 2026.<\/p>","protected":false},"excerpt":{"rendered":"

Seven in ten online carts are abandoned. The exact figure is 70.22%, pooled from 50 separate studies (Baymard Institute, 2026). […]<\/p>\n","protected":false},"author":1,"featured_media":5367,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"_kadence_starter_templates_imported_post":false,"footnotes":""},"categories":[200],"tags":[],"class_list":["post-5368","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-statistics"],"_links":{"self":[{"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/posts\/5368","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/comments?post=5368"}],"version-history":[{"count":1,"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/posts\/5368\/revisions"}],"predecessor-version":[{"id":5379,"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/posts\/5368\/revisions\/5379"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/media\/5367"}],"wp:attachment":[{"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/media?parent=5368"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/categories?post=5368"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/yamuparkoti.com\/fr\/wp-json\/wp\/v2\/tags?post=5368"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}