Mobile Commerce Statistics
Mobile brings in about 70–77% of ecommerce traffic and 54–57% of online sales, yet desktop still converts up to 74% better. Here are the sourced, dated figures behind that gap, broken down by region, device, vertical and channel.
Mobile commerce statistics
Mobile commerce statistics measure how much ecommerce traffic, revenue and conversion happens on smartphones compared with desktop and apps.
Mobile commerce (m-commerce) statistics track the share of online shopping that happens on smartphones and tablets. That covers visits, orders and revenue, plus how well each device converts. The figures most often cited are mobile's share of ecommerce sales, its share of site traffic, the mobile vs desktop conversion rate gap, app vs mobile web performance, and how often a purchase starts on one device and finishes on another.
The figures differ a lot depending on who measures them. Statista reports global sales, Adobe reports US online spend, and Contentsquare and Dynamic Yield report on sessions across their client sites. Every figure below names its publisher, dataset and period so you can compare like with like.
Key statistics
• Mobile devices generated 57% of global ecommerce sales in 2024, worth about $2.07 trillion (Statista, 2024). • Smartphones drove 54.5% of US online holiday spending in 2024, up from 51.1% in 2023 (Adobe Analytics, Nov–Dec 2024). • Smartphones' share of US holiday online spend rose again to 56.4% in 2025, out of $257.8 billion in total (Adobe, 2025 holiday season). • Mobile accounted for 77% of retail site traffic in 2025; desktop accounted for 23% (Contentsquare, 2026 Digital Experience Benchmarks). • Desktop conversion rate was 74% higher than mobile across 6,500+ websites in Q4 2025 (Contentsquare, 2026 benchmark). • Median conversion rate across 117 European ecommerce brands was 3.93% on desktop and 2.46% on mobile (Drip Agency, 2026 study of 486M sessions). • Mobile cart abandonment runs at 79.53% vs 69.56% on desktop (Dynamic Yield, rolling 12-month benchmark). • Shoppers made only 38.8% of holiday returns on mobile, despite spending 56.4% of their money there (Adobe, 2025 holiday season).
Most of your traffic now arrives on a phone, but a smaller share of your revenue closes there. The sections below put numbers on that gap: how big mobile's share is, how far mobile conversion trails desktop, where apps fit in, and how cross-device journeys distort device-level reports.
Mobile share of ecommerce traffic and revenue
Mobile share of ecommerce traffic and sales, by market and dataset
| Metric | Market | Period | Mobile share | Publisher |
|---|---|---|---|---|
| Share of global ecommerce sales | Global | 2024 | 57% ($2.07T) | Statista |
| Projected share of retail ecommerce | Global | 2028 (forecast) | 63% | Statista |
| Share of US ecommerce sales | US | 2021 | 39.4% | eMarketer |
| Share of US ecommerce sales | US | 2024 | 44.6% | eMarketer |
| Share of US online holiday spend | US | Nov–Dec 2023 | 51.1% | Adobe |
| Share of US online holiday spend | US | Nov–Dec 2024 | 54.5% | Adobe |
| Share of US online holiday spend | US | Nov–Dec 2025 | 56.4% | Adobe |
| Share of online sales on Christmas Day | US | 25 Dec 2024 | 65% | Adobe |
| Share of website traffic (all industries) | Global, 6,500+ sites | Q4 2025 | 69.9% | Contentsquare |
| Share of retail site traffic | Global retail sites | 2025 | 77% | Contentsquare |
The share depends on what is being measured. Mobile holds about 70–77% of sessions, 54–57% of spend, and only 44.6% of US ecommerce sales on eMarketer's full-year count. That gap between traffic share and revenue share is what the rest of this page is about.
Holiday and gifting peaks push the mobile share up. Adobe measured 65% of US online sales on smartphones on Christmas Day 2024. Mobile also dominates payment choice: 79.1% of Buy Now, Pay Later transactions in the 2024 season came from smartphones, rising to 82.2% in 2025.
Paid social helps explain why mobile traffic share is so high on retail sites. Contentsquare found that paid social made up 13% of retail traffic in 2025, up 18% year over year. That traffic lands almost entirely on phones. If your Meta and TikTok budgets are growing, your device mix moves toward mobile whether you plan for it or not.
The mobile vs desktop conversion gap
Ecommerce conversion rate by device: two benchmark datasets
Drip Agency, 117 EU brands (median, 2026)
Dynamic Yield (rolling 12-month)
Most datasets agree that desktop converts better. Contentsquare's 2026 benchmark puts desktop 74% ahead of mobile across 6,500+ sites in Q4 2025. Among retail sub-industries, desktop leads mobile by 40–70%. Drip Agency's European study shows a 3.93% vs 2.46% median, which is about 60% higher on desktop.
Dynamic Yield is the exception: its rolling benchmark shows mobile at 2.88% and desktop at 2.37%. The difference comes from who is in the panel and how sessions are counted, not from a market reversal. When you benchmark your own store, pick one dataset and use it for every device.
Vertical changes the gap a lot. Contentsquare reports luxury retail converting at 1.4% on desktop and only 0.9% on mobile, while health and beauty reaches 3.4% on mobile. Oberlo's tracking put average mobile conversion at 2.85% in October 2024, ranging from 2.67% to 3.83% over the year. The peak came in the November–December holiday season.
Conversion is falling faster on desktop. Contentsquare found retail conversion down 5.5% year over year, made up of a 3.5% drop on mobile and an 8% drop on desktop. A Metricuno calculation shows what the gap means for orders. With 77% mobile traffic converting at 2.46% and 23% desktop converting at 3.93%, mobile produces about 68% of orders despite bringing in 77% of visits.
Checkout is where the gap is widest. Baymard's meta-analysis of 50 studies puts average cart abandonment at 70.22% (updated September 2025), with unexpected extra costs the top reason at 39%. Dynamic Yield's device split shows 79.53% abandonment on mobile against 69.56% on desktop.
App vs mobile web and cross-device journeys
App vs mobile web performance and cross-device signals
| Metric | Value | Scope | Publisher, period |
|---|---|---|---|
| Conversion rate, retail shopping apps | 18% | Retailers with app + mobile web live | Criteo, Global Commerce Review |
| Conversion rate, retail mobile web | 4% | Same retailers | Criteo, Global Commerce Review |
| App conversion vs mobile web | More than 3x | US retailers | Criteo, Q1 2018 |
| In-app share of mobile commerce | 63% Europe / 71% US / 70% APAC | Retailers with both app + web | Criteo, Global Commerce Review |
| Share of holiday spend on mobile | 56.4% | US online retail | Adobe, 2025 |
| Share of holiday returns made on mobile | 38.8% | US online retail | Adobe, 2025 |
| Desktop CR advantage over mobile, linked to multi-device journeys | +74% | 6,500+ websites | Contentsquare, Q4 2025 |
| Multi-device users who move sequentially between screens | 90% | US consumers | Google, 2012 (dated) |
| Mobile sites with good Time to First Byte | 44% | Mobile websites | HTTP Archive, July 2025 |
App figures are dramatic, but read them carefully. Criteo's 18% vs 4% comparison uses its own funnel definition, and it only covers retailers that already have an app. Those apps mostly serve loyal, logged-in repeat buyers. For a store doing €1M–€15M, a fast mobile web checkout usually pays back before a native app does.
Cross-device behaviour is the hidden variable. Contentsquare reads much of desktop's 74% advantage as people browsing on a phone and then buying on a laptop. Adobe's returns data points the same way: shoppers spent 56.4% of holiday money on phones but made only 38.8% of returns there.
Your mobile conversion rate is probably understated
Session-based analytics credit a sale to the device where checkout happened. If a shopper finds you through an Instagram ad on their phone and buys on their laptop two days later, mobile gets the traffic and desktop gets the order. Before you cut mobile ad spend because its device-level ROAS looks weak, compare logged-in or email-identified buyers across devices, and look at how long the gap is between the first mobile visit and the desktop purchase.
How to use these numbers
Never compare your blended conversion rate with a benchmark. Your device mix shapes it as much as your UX does. Compare your mobile conversion rate with a mobile benchmark from a single source, such as Drip Agency's 2.46% median for European brands, then split it again by traffic source. Paid social mobile and returning email mobile behave like two separate stores.
Then find where the mobile funnel leaks. If mobile add-to-cart is close to desktop but checkout completion falls behind, look at payment options, form fields and delivery-cost surprises. If the gap opens on product pages, look at speed and image weight. HTTP Archive found that only 44% of mobile sites had a good Time to First Byte in July 2025.
Finally, track the trend, not the snapshot. Mobile share moves every year: Adobe's holiday figure went from 51.1% to 54.5% to 56.4% across three seasons. Closing even a third of the device gap on a store with 77% mobile traffic usually adds more revenue than any desktop-only test. Our guide to mobile CRO covers how to prioritise those tests.
Mobile commerce statistics: frequently asked questions
Globally, mobile devices generated 57% of ecommerce sales in 2024, about $2.07 trillion (Statista). In the US the full-year figure is lower, at 44.6% (eMarketer, 2024). During the US holiday season, smartphones accounted for 54.5% of online spend in 2024 and 56.4% in 2025 (Adobe).
Contentsquare measured 69.9% of website traffic on mobile across 6,500+ sites in Q4 2025. On retail sites specifically, the share was 77% in 2025. Stores that rely on paid social often see 80% or more, because that traffic is almost entirely mobile.
Drip Agency's 2026 study of 117 European brands puts the median mobile conversion rate at 2.46%. Oberlo tracked an average of 2.85% in October 2024. Health and beauty stores can reach about 3.4% on mobile (Contentsquare), while luxury sits near 0.9%. Benchmark against your own vertical and traffic mix, not the all-store average.
Contentsquare's 2026 benchmark shows desktop converting 74% better than mobile across all industries, and 40–70% better within retail sub-industries. Drip Agency's European medians are 3.93% on desktop and 2.46% on mobile. Dynamic Yield's panel is the exception and shows mobile slightly ahead, so always compare within one dataset.
There are three main causes. Checkout on a small screen has more friction, and mobile cart abandonment runs at 79.53% vs 69.56% on desktop (Dynamic Yield). Many mobile sites are slow. And a lot of mobile visits are research sessions that end in a desktop purchase, so device-level reports undercount mobile's role.
Yes, according to Criteo. Retailers running both saw 18% conversion in-app vs 4% on mobile web, and its 2018 US data put apps at more than 3x mobile web. Those apps mostly serve loyal, logged-in customers, so the gap partly reflects who uses them rather than the app itself.
Usually not as the first move. For stores in the €1M–€15M range, a faster mobile web checkout with express wallets and fewer form fields tends to pay back sooner. An app makes sense once you have a large base of repeat buyers who purchase several times a year.
Very common. Google's 2012 multi-screen research found 90% of multi-device users moved between screens to complete a task. That figure is old, but recent data shows the same pattern: Contentsquare links desktop's conversion advantage to people researching on mobile and buying on desktop, and Adobe found only 38.8% of holiday returns were made on mobile.
Dynamic Yield's rolling 12-month benchmark puts mobile cart abandonment at 79.53%, against 69.56% on desktop. Across all devices, Baymard's meta-analysis of 50 studies gives an average of 70.22% (September 2025). Unexpected extra costs, such as shipping, taxes and fees, are the top reason at 39%.
Segment conversion rate, add-to-cart rate and checkout completion by device category and by traffic source together. Use User-ID or logged-in purchase data to see cross-device conversions that session-level reports credit to desktop. Then compare each device with a same-device benchmark rather than your blended rate.
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