Table of Contents
- What is the average eCommerce conversion rate in 2026?
- What is a good eCommerce/Shopify conversion rate?
- Shopify CRO Benchmarks
- Why are eCommerce Benchmarks Important?
- What Counts as a "Conversion" in 2026?
- How to Compare eCommerce and Shopify Conversion Rate Benchmarks
- Benchmarks by Industry
- eCommerce Benchmarks by Device
- Add-to-Cart & Checkout Completion Rates
- Emerging 2026 Trends Impacting Conversion Rate
- How to Beat the Benchmarks
- Frequently Asked Questions
- Finding Your Ideal Conversion Rate
Our research looked at multiple sources to establish these eCommerce conversion rate benchmarks. It is important to keep in mind that these are all heavily dependent on your platform, industry, niche, price point, positioning, traffic source, device mix, average order value and purchase cycle.
TL;DR
What is the average eCommerce conversion rate in 2026?
Recent eCommerce benchmarks put average conversion rates around 2–3%, although the figure varies by dataset. IRP Commerce recorded 2.26% in July 2026, while Dynamic Yield’s current rolling 12-month benchmark reports a 2.72% global average.
For Shopify specifically, Shogun’s January–June 2026 study of 745 active stores reported a 2.61% mean conversion rate and a 1.74% median. The median represents the middle store in the sample and is less affected by unusually high conversion rates.
These sources cover different merchant groups and measurement methods. Use the benchmark that most closely matches your store.
What is a good eCommerce/Shopify conversion rate?
Around 3.4% is a useful reference for strong performance within Shogun’s Shopify sample. Its January–June 2026 data placed the upper-quartile threshold at 3.39%, the boundary for the top quarter of stores. This describes that particular sample, rather than every Shopify store. See Shogun’s benchmark report.
Your industry changes what “good” looks like. In the same study, the median was 3.31% for health and wellness and 1.62% for home and garden. A 2% conversion rate would therefore compare very differently across those categories.
Compare your performance with similar stores, then consider your average order value, traffic sources, device mix and new versus returning customers. A good conversion rate should support profitable growth alongside average order value and repeat purchases.
Sources: IRP Commerce, Dynamic Yield and Shogun.
Last checked: 9 September 2026.
Your overall conversion rate shows how often visits turn into purchases. Add-to-cart rate and checkout completion help you identify where shoppers stop progressing.
At Blend Commerce, we use these metrics to identify the biggest opportunity for profitable growth. If shoppers add products but rarely complete checkout, investigate checkout friction. If few shoppers add products, start with product pages, the offer and traffic quality.
Shopify CRO Benchmarks
Benchmark your Shopify store with AI (in 2 minutes)
- Compare your conversion rate, AOV and returning customer rate with relevant industry benchmarks.
- Get a prioritised shortlist of CRO opportunities based on your store’s numbers.
Your data is stored anonymously and only temporarily to generate your report.
Why are eCommerce Benchmarks Important?
Benchmarks help you identify which parts of the buying journey need attention. The table below separates purchase conversion from add-to-cart, checkout completion and cart abandonment.
eCommerce funnel benchmarks: sources checked 9 September 2026
| Benchmark | Source and measurement period | Figure | What it measures |
|---|---|---|---|
| eCommerce conversion rate | IRP Commerce, July 2026 | 2.26% | Transactions divided by sessions in IRP’s merchant dataset. |
| Global eCommerce conversion rate | Dynamic Yield, rolling 12 months | 2.72% | Completed purchases relative to visitors in Dynamic Yield’s dataset. |
| Shopify conversion rate | Shogun, January–June 2026 | 2.61% mean; 1.74% median | Store-level rates from a sample of 745 active Shopify stores. |
| Product-page add-to-cart rate | Dynamic Yield, rolling 12 months | 6.08% | Add-to-cart activity following product-page views. |
| Checkout completion rate | Top Growth Marketing, July 2025–June 2026 | 65.1% median, calculated | Calculated from reported checkout abandonment across 16 DTC Shopify client stores. |
| Cart abandonment rate | Dynamic Yield, rolling 12 months | 77.55% | Created carts that did not result in a purchase. |
These sources use different samples and definitions. Rolling 12-month figures are not measurements of 2026 alone. Checkout completion is calculated as 100% minus the source’s 34.9% median checkout abandonment; the checkout section explains the sample and calculation.
Blend Commerce note: In our CRO work with Shopify brands, we treat benchmark data as a diagnostic starting point, not a target. A store with a decent add-to-cart rate but below average checkout completion has a different problem from a store with little to no product-page engagement. That is why we benchmark by funnel stage, not just sitewide conversion rate.
Below, we break down the funnel and emerging trends and share actionable tips for beating these benchmarks.
Don't forget that many metrics can influence your conversion rate. For example, if blog visitors make up 80% of your traffic and visits landing on blog pages have a low average conversion rate, your overall results will be affected.
Seasonal campaigns focused on acquiring new visitors can also affect overall conversion performance. Compare traffic sources separately while retaining your overall conversion rate, so you can distinguish changes in traffic mix from changes in buying behaviour.
What Counts as a "Conversion" in 2026?
In Shopify Analytics, online-store conversion rate is calculated as sessions that completed checkout ÷ total sessions × 100. Some external benchmarks use orders divided by sessions, while others use visitors. Check the definition before comparing your figures.
Shopify’s reporting documentation explains that orders and purchasing sessions can differ when multiple purchases happen within one session.
- Primary conversion: A completed purchase. The benchmark’s calculation determines whether purchases are measured against sessions, visitors or another starting point.
- Micro-conversions: Actions such as adding to cart, reaching checkout or signing up for email. They help you understand how shoppers progress, but they are not purchases.
In this article, conversion rate refers to purchases unless we name another action. Track the intermediate steps alongside purchases to understand whether a change helps shoppers complete an order.
How to Compare eCommerce and Shopify Conversion Rate Benchmarks
Compare the measurement period, merchant sample and calculation method before choosing a benchmark. IRP uses transactions divided by sessions; Dynamic Yield uses visitors.
Shogun calculates store-level orders divided by sessions using Shogun-instrumented pages. Its sample may not represent whole-store performance or Shopify as a whole. Industry classifications are based on third-party estimates.
Choose the closest comparison for your category and business model, then track progress against your own baseline. Keep the source, period and definition beside each figure so the comparison remains clear when you update your report.
Benchmarks by Industry
The table below uses one Shopify sample for consistent comparisons. The median describes the middle store; the upper-quartile threshold marks the boundary for the top quarter within each category.
Shopify conversion rates by industry, January–June 2026
| Industry | Stores | Median | Upper-quartile threshold |
|---|---|---|---|
| Health & Wellness | 42 | 3.31% | 5.94% |
| Beauty & Personal Care | 55 | 3.16% | 4.93% |
| Food & Beverage | 47 | 2.99% | 7.27% |
| Toys & Hobbies | 17 | 2.09% | 3.49% |
| Business & Industrial | 25 | 1.84% | 2.70% |
| Apparel & Accessories | 174 | 1.69% | 3.24% |
| Home & Garden | 90 | 1.62% | 3.01% |
| Consumer Electronics | 20 | 1.39% | 2.06% |
| Autos & Vehicles | 31 | 1.26% | 1.98% |
| Sports & Outdoors | 54 | 1.24% | 2.46% |
Source: Shogun’s H1 2026 benchmark report. Small categories warrant caution. These listed groups do not cover every store in the overall sample.
Use the category closest to your products and buying cycle. A benchmark can help you prioritise investigation, but your margin, average order value and repeat purchases determine whether an improvement supports profitable growth.
eCommerce Benchmarks by Device
Dynamic Yield’s device benchmarks cover its global eCommerce dataset and are not Shopify-specific.
Compare your own mobile and desktop purchase conversion rates separately in Shopify Analytics or GA4. Keep the definition consistent, then segment by landing page, traffic source and new versus returning customers.
If your mobile conversion rate is lower than expected, review speed, product-page layout, thumb-friendly buttons, saved credentials, one-click payment, cart UX and checkout friction. Even small mobile improvements can have an outsized effect if mobile is a large share of your traffic.
Add-to-Cart & Checkout Completion Rates
Add-to-cart rate and checkout completion help explain purchase conversion. Each measures a different action and uses a different starting point.
Dynamic Yield’s rolling 12-month add-to-cart benchmark is 6.08%. Beauty & Personal Care has the highest rate at 9.56%, while Luxury & Jewellery is lowest at 1.76%.
This is a product-page benchmark. It should not be compared directly with a Shopify add-to-cart rate calculated across all store sessions.
Checkout completion measures how often checkout starts lead to an order. Top Growth Marketing reports a 34.9% median checkout abandonment rate across 16 DTC Shopify client stores, measured from July 2025 to June 2026. This corresponds to a calculated median checkout completion rate of 65.1%: 100% minus abandonment.
The sample covers 423,978 tracked checkouts and uses checkout and order events. Stores with inconsistent tracking were excluded. Treat it as a small-sample reference, rather than a Shopify-wide average or a universal target.
Dynamic Yield’s rolling 12-month cart abandonment benchmark is 77.55%. This measures carts that did not result in a purchase, starting earlier in the journey than checkout abandonment.
Use each funnel metric to investigate a different part of the buying journey
| Metric | Reference | Use it to diagnose |
|---|---|---|
| Purchase conversion rate | See the source-labelled purchase benchmarks above. | Overall ability to turn traffic into purchases. |
| Product-page add-to-cart rate | Dynamic Yield: 6.08%, rolling 12 months. | Product-page clarity, the offer and purchase intent. |
| Checkout completion rate | Top Growth Marketing: calculated 65.1% median; 16 stores, July 2025–June 2026. | Friction after checkout begins. |
| Cart abandonment rate | Dynamic Yield: 77.55%, rolling 12 months. | Drop-off after a cart is created. |
These figures come from separate datasets. They do not describe one shared funnel and should not be multiplied together to estimate an expected purchase conversion rate.
We cover strategies for improving add-to-cart and checkout rates below. If add-to-cart is healthy but checkout completion is weak, start with cart and checkout. If add-to-cart is low, start with product pages, collection pages, pricing clarity, imagery, reviews and delivery messaging.
Emerging 2026 Trends Impacting Conversion Rate
eCommerce never stands still. Key trends this year are reshaping how customers convert:
Major Shopping Events & Mobile Purchasing
Adobe reports that U.S. retailers generated $26.4 billion in online spending during the 23–26 June 2026 Prime Day event, up 9.3% year on year. Mobile accounted for 54.2% of online sales, while buy now, pay later accounted for 6.6% of online orders.
These are promotional-event figures. Compare peak trading periods separately from normal trading: discounts, urgency, mobile shopping and payment options can change both traffic quality and purchasing behaviour.
Payment Flexibility
Consumers expect easy, one-click payment options. Payment flexibility can reduce checkout friction, especially on mobile. Digital wallets, accelerated checkout options, PayPal, Shop Pay and BNPL all reduce the amount of work a shopper has to do before completing payment.
Do not treat payment options as a magic fix, though. Measure their impact by device, AOV and customer type. A high-ticket store may see more impact from BNPL, while a lower-AOV repeat-purchase store may see more impact from saved payment details and faster mobile checkout. Shopify’s payment trends guidance is useful context here, but your own checkout data should decide what gets prioritised.
AI-Driven Personalisation
Generative AI and advanced algorithms are enabling more personalised shopping journeys. Search, ads and social feeds are already delivering AI-curated products and recommendations. Google highlights that with unpredictable consumer journeys, brands need to deliver content that speaks to a shopper’s interests.
In practice, personalised recommendations, dynamic merchandising, AI-assisted search and AI chatbots are becoming more common. Treat these as testable CRO levers, not guaranteed wins. The exact uplift varies by brand, traffic source, product type and how well the experience matches customer intent.
Site Speed & UX (Core Web Vitals)
Assess loading speed, responsiveness and visual stability separately using Google’s Core Web Vitals.
Assess these metrics at the 75th percentile of page visits and check mobile and desktop separately. They are performance thresholds; they do not predict a fixed conversion-rate uplift.
For Shopify stores, compress large images, reduce unnecessary scripts, avoid layout shifts, keep product pages lightweight and make mobile checkout as fast as possible. Then assess whether the changes help shoppers progress through your funnel.
Want to see if you could improve your store's conversion performance?
Book a CRO mapping callHow to Beat the Benchmarks
Looking at the numbers tells you what to fix. But here’s how to fix it.
Step 1: Start with CRO Insights
Diagnose your store end-to-end. Blend’s CRO Insights examines traffic sources, analytics data, heatmaps and user flows to pinpoint leaks. We often use GA4 and session recordings with Microsoft Clarity to identify confusion, hesitation and slowdowns.
The result: a prioritised list of fixes. You get clarity on why your rates are what they are and what to change first.
Step 2: Personalisation & Testing
Tailor the experience and verify changes with experiments. Use message mining and personalisation to serve products, copy and offers that match each visitor’s intent.
For example, one Blend A/B test added a PayPal Express checkout button to the smart cart and saw conversion rate jump +37%. In another case, we revamped product page copy for a beauty brand using customer language with message mining and achieved a +25% conversion-rate lift.
Prioritise A/B tests for consequential changes where the outcome is uncertain, including headlines, images, CTAs, pricing displays and delivery messaging. Define the success metric before starting and allow enough traffic and time for a reliable result. What works on one site will not necessarily work on another.
Well-timed onsite campaigns, such as exit-intent popups or email capture forms, can also recover abandoning visitors and encourage hesitant shoppers to take the next step. The key is to personalise campaigns based on visitor behaviour and continuously test different offers and messaging.
If you're wondering what performance to aim for, these popup conversion rate benchmarks provide useful reference points along with practical optimisation tips for different popup types. This makes it easier to set realistic goals and measure whether your onsite campaigns are outperforming industry averages.
Step 3: Streamline Checkout
Remove friction in the final steps. Display trust signals, minimise form fields, pre-fill address information where possible and offer payment options such as Apple Pay, Google Pay, Shop Pay and PayPal Checkout.
Enabling Shop Pay Instalments or BNPL can help customers who hesitate at a high cart total. Shopify’s payment trends content gives useful context, but your own checkout data should decide whether BNPL, saved payment details or checkout UX is the better priority. Cart reminders and abandoned-cart emails are still worth having because cart-stage leakage is high across multiple benchmarks.
Step 4: Optimise Speed & Mobile UX
Mobile traffic is often a major share of eCommerce traffic, but mobile performance varies by store. Review mobile product pages, cart behaviour, checkout usability, payment options and site speed together rather than treating mobile conversion rate as one isolated number.
Use responsive design, thumb-friendly buttons, compressed images and lightweight product pages. Avoid unnecessary app scripts and layout shifts. Where possible, give shoppers faster ways to pay through accelerated checkout and saved credentials.
Step 5: Continuous Improvement
The benchmark is not a fixed target. Consumer behaviour changes, traffic quality shifts and product demand moves. Adopt an ongoing conversion rate optimisation mindset. Use tools like A/B testing platforms, including Intelligems, Convert and similar platforms, to iteratively refine your site.
Small UX tweaks add up over time. Tie every test back to revenue by focusing on changes that move orders, conversion rate, AOV, checkout completion and returning customer behaviour.
Bonus Tip
If sorting this list feels daunting, remember you do not have to go it alone. Blend Commerce specialises in Shopify CRO. See our CRO Insights process and case studies to learn how similar brands broke through their plateaus. A focused audit can help you decide which changes are worth testing first.
Frequently Asked Questions
See how your store's performance compares with your competitors
Benchmark my store nowWhat is a good mobile eCommerce conversion rate?
Dynamic Yield’s rolling 12-month benchmark reports 2.88% mobile conversion. This is a reference for its global dataset, not a universal target. Compare similar traffic sources, landing pages and customer groups before deciding whether your mobile performance needs attention.
What is a good add-to-cart rate?
Dynamic Yield’s product-page add-to-cart benchmark is 6.08%. It is an average for that dataset, not a universal threshold for good performance. Match the denominator before comparing your store, then investigate product-page clarity, pricing, delivery information, reviews and mobile usability.
What is a good checkout conversion rate?
There is no single target for every store. One recent reference is a calculated 65.1% median checkout completion rate from Top Growth Marketing’s 16-store Shopify sample, covering July 2025–June 2026. This is the complement of its reported 34.9% median checkout abandonment. Check your tracking and customer mix before comparing; if completion is weak, review shipping costs, payment options, form errors and account-creation friction.
Why do eCommerce conversion rate benchmarks differ so much?
Sources use different merchant samples, markets, periods and definitions. They can also report a mean or a median, which answer different questions. Match the metric and the sample to your store, and keep each source’s figure separate.
How can I improve my store’s conversion rate?
Focus on reducing friction and building trust. Make sure your site is fast and easy to use. Use clear, benefit-driven copy and high-quality images. Use personalisation and A/B testing to tailor experiences, such as serving relevant products or testing different headlines. Offer convenient payments, including digital wallets and accelerated checkout options where appropriate. Finally, re-engage non-converters with retargeting and abandoned-cart emails. Small changes compound, so measure conversion rate, AOV, add-to-cart rate, checkout completion and drop-off rates, then double down on what works.
Question: What Is a Good Conversion Rate for an Ecommerce Mobile App?
Answer [from Blend Commerce partner Shopney]: A good conversion rate for an ecommerce mobile app typically sits around 2% to 6%, depending on your industry, average order value, product type, customer base, and purchase frequency. Top-performing shopping apps can reach more than that, especially when the app is supported by strong retention, personalisation, push notifications, merchandising, and repeat-purchase strategies.
At Shopney, the benchmark we find more useful is the comparison between a store’s mobile website and its mobile app. According to Shopney merchant data, Shopify stores using Shopney see an average of 5x higher conversion rates in their mobile apps compared to their mobile websites.
Some brands also outperform this benchmark depending on their category, customer behaviour, app adoption, and engagement strategy.
Shopney’s merchants’ results show how widely app performance can vary by brand and 5category. Shopi Go achieved 22x higher mobile conversion on its app compared to mobile web, while Canine P4 improved conversion rates by 20%.
On average we see mobile app conversion rates between 5% and 13%, with top-performing apps going beyond 20% during seasonal peaks or campaign periods.
So, instead of treating one percentage as the universal “good” ecommerce mobile app conversion rate, as a Shopify brand you should benchmark app conversion against your own mobile web performance. If the app consistently outperforms mobile web, especially among returning customers and repeat-purchase segments, it is usually a strong sign that the app is working as a high-converting owned sales channel.
Finding Your Ideal Conversion Rate
Benchmarking your metrics is only half the battle. The real value comes from using these insights to take action. In 2026, the average Shopify store converts only a small percentage of its traffic, but by improving your funnel metrics, including add-to-cart, checkout completion, mobile UX and site speed, you can outperform broad benchmarks.
We also have in-depth case studies and a collection of A/B tests showing exactly how small tweaks drove double-digit conversion-rate improvements. And if you want to know where you are lacking and need a full report, we’ll give you one here.
Remember to use data, test relentlessly and apply the tactics above. In a year of AI and accelerated digital adoption, staying on top of your conversion funnel is more important than ever. For personalised guidance, consider scheduling a no-obligation call with us at Blend.
