Benchmarks, sourced
Average Ecommerce Conversion Rate by Industry: 0.6% to 5.4%
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Across the four benchmark panels re-fetched on September 6, 2026, average ecommerce conversion rates by industry run from 0.55% (baby and child, IRP Commerce, July 2026) to 5.39% (beauty and personal care, Dynamic Yield, rolling 12 months). The all-sector averages are 2.72% (Dynamic Yield), 2.26% (IRP Commerce) and 1.4% (Statista, Q2 2026). Your industry row, on the panel that looks like your store, is the number to compare against; the global average is not.
Average ecommerce conversion rate by industry: the table
TL;DR Fifteen industry rows, four named panels, every cell read off the source on September 6, 2026. The span inside a single panel is 7.5x (Dynamic Yield: beauty 5.39%, luxury 0.72%) and the panels disagree with each other by up to 3.3 points on the same category (food and beverage: Dynamic Yield 4.8%, IRP Commerce 1.47%).
Four public benchmarks publish conversion rates by industry and name their panel. This table puts all four side by side. Each column keeps its own vintage, because a 2023 figure and a rolling 2026 figure are not the same kind of number.
| Industry | Dynamic Yield rolling 12 months, all ecommerce | IRP Commerce July 2026, tracked retailers | Littledata 2,800 Shopify stores, 2023 | Statista Q2 2026, selected sectors |
|---|---|---|---|---|
| Beauty & personal care | 5.39% | no figure | no figure | 2.4% (beauty & skin) |
| Arts & crafts | no figure | 5.23% | no figure | no figure |
| Food & beverage | 4.8% | 1.47% (food & drink) | 1.5% | 2.3% |
| Pet care | 4.71% | 2.95% | no figure | no figure |
| Health & wellbeing | no figure | 3.57% | no figure | no figure |
| Kitchen & home appliances | no figure | 3.34% | no figure | no figure |
| Multi-brand retail | 3.01% | no figure | no figure | no figure |
| Fashion, accessories & apparel | 2.77% | 1.81% | 1.9% | no figure |
| Consumer goods | 2.47% | no figure | no figure | no figure |
| Sports & recreation | no figure | 2.12% | no figure | no figure |
| Cars & motorcycling | no figure | 1.82% | no figure | no figure |
| Toys, games & collectables | no figure | 1.72% | no figure | no figure |
| Home & furniture | 1.22% | no figure | no figure | no figure |
| Luxury & jewelry | 0.72% | no figure | no figure | no figure |
| Baby & child | no figure | 0.55% | no figure | no figure |
Sources: Dynamic Yield conversion benchmark (completed purchases divided by visitors; its customer base of 200M monthly unique users over 300M sessions, per the page; refreshed monthly); IRP Commerce market data (July 2026 against July 2025, its own retailer panel, denominator not stated); Littledata (2,800 Shopify sites, 2023); Statista (Q2 2026; only the two sector figures shown in its ungated summary are quoted, the full chart is paywalled). Category names are each panel's own; where a panel's label differs from the row, the label is in brackets. “No figure” means that panel publishes nothing for the row.
Dynamic Yield conversion benchmark page, rolling 12-month figures as fetched September 6, 2026. The global average on the same page is 2.72%. The coral bar is the lowest-converting and highest-order-value category in the panel.
Three things to read off the table before you compare anything to it. First, the within-panel span is bigger than any tactic. Dynamic Yield's beauty row converts at 5.39% and its luxury row at 0.72%, a 7.5x gap on the same page, measured the same way. IRP Commerce shows a similar shape from arts and crafts at 5.23% down to baby and child at 0.55% (July 2026). What you sell explains more of your conversion rate than how you sell it.
The panels disagree, and the disagreement is informative. Food and beverage converts at 4.8% for Dynamic Yield, 2.3% for Statista (Q2 2026), 1.5% for Littledata's Shopify stores (2023) and 1.47% for IRP Commerce's food and drink sector (July 2026). Same category, four numbers, a 3.3-point spread. Dynamic Yield's panel is its own customer base, 200M monthly unique users across 300M sessions by its page and more than 400 brands by Shopify's count; Littledata's is 2,800 Shopify stores measured in 2023; IRP's is its own tracked retailers. The number you see is mostly a description of who is in the panel.
Monthly figures swing well beyond the rolling averages. Shopify's own article on this topic (updated August 22, 2026) quotes Dynamic Yield's June 2026 month at 5.7% for pet care, 5.32% for beauty, 4.58% for food and beverage and 0.63% for luxury. Dynamic Yield's live page, fetched today, shows pet care at 7.68% for July alone against a 4.71% rolling average. If a page quotes an industry rate without saying whether it is one month or twelve, it has not told you enough to use it.
The all-sector averages: four panels, four answers
TL;DR The published global average runs from 1.4% (Statista, Q2 2026; Littledata's Shopify median, 2023) to 2.72% (Dynamic Yield, rolling 12 months), with IRP Commerce at 2.26% (July 2026) in between. Contentsquare's 2026 benchmark says the whole field fell 5.1% year over year.
| Figure | Panel | What it divides | Vintage |
|---|---|---|---|
| 2.72% | Dynamic Yield (Mastercard), its customer base: 200M monthly unique users, 300M sessions | Completed purchases by visitors | Rolling 12 months, fetched Sep 6, 2026 |
| 2.26% | IRP Commerce, all tracked ecommerce markets | Not stated on the page | July 2026 v July 2025 |
| 1.4% | Statista, selected sectors worldwide | Ecommerce site visits | Q2 2026 (Apr 1 to Jun 30) |
| 1.4% | Littledata, 2,800 Shopify stores | Sessions | 2023 |
| −5.1% year over year | Contentsquare 2026 benchmark, 6,500+ sites, 99 billion sessions | Change in conversion rate, not a level | 2026 edition, fetched Sep 6, 2026 |
Dynamic Yield, IRP Commerce, Statista and Contentsquare pages fetched September 6, 2026. Shopify's blog (updated August 22, 2026) quotes the earlier Statista Q1 2026 figure, also 1.4%, and a Dynamic Yield global figure of 2.66%; the live Dynamic Yield page now reads 2.72%, which is what a rolling window does between two reads.
None of these is the average. Each is an average of its panel. Dynamic Yield's number is high because enterprise brands with strong repeat purchasing are the customers of an enterprise personalization vendor. Littledata's is a Shopify-only panel of 2,800 stores measured in 2023, a different platform and a different year from the rest of the table. Statista's 1.4% counts visits, which is a different denominator again. IRP's 2.26% comes from its own tracked retailers, compared month against the same month a year earlier.
The direction of travel matters as much as the level. Contentsquare's 2026 Digital Experience Benchmark, drawn from 99 billion sessions on 6,500+ sites, records conversion rates down 5.1% year over year while average order value rose 6% (fetched September 6, 2026). Multiply those two aggregate moves and revenue per visit lands roughly flat, up about 0.6%, in a year every conversion-only dashboard scored as a loss. That is a panel-level illustration rather than any single store's ledger, but it is the reason a store converting exactly as well as last year has gained ground on the field.
If you sell on Shopify, the deeper platform-specific cut, including traffic-source and price-point splits, lives in our Shopify conversion rate benchmarks. The rest of this page groups the industry rows and then shows how to put your own number against them.
Beauty, food, pet care and the other replenishment categories
TL;DR The top of every panel is a category people buy again: beauty 5.39%, food and beverage 4.8%, pet care 4.71% (Dynamic Yield), arts and crafts 5.23% and health and wellbeing 3.57% (IRP Commerce, July 2026). Their order values are the lowest in the table.
Beauty and personal care leads Dynamic Yield's rolling panel at 5.39%, and it is the one category where a second panel publishes a directly comparable figure: Statista shows beauty and skin at 2.4% for Q2 2026 in its ungated summary. A 3-point gap on the same product category is the panel effect in one line. Beauty buyers replenish and know their shade on visit two, and a panel built from established enterprise brands is full of those returning buyers, which pushes it far above a broad one.
Food and beverage is the row with the most sources and the widest disagreement: 4.8% (Dynamic Yield), 2.3% (Statista, Q2 2026), 1.5% (Littledata, Shopify stores, 2023) and 1.47% (IRP Commerce, food and drink, July 2026). Littledata's percentile ladder for the category is the useful part for a Shopify merchant: the top 20% of its food and beverage stores converted above 4.1%, the top 10% above 6.2%, and the top 10% on desktop above 8.9%. So a Shopify food store at 2% is above its platform-panel average and nowhere near its ceiling.
Pet care converts at 4.71% on Dynamic Yield's rolling page and 2.95% in IRP's July 2026 data. It is also the most volatile row in the set: Dynamic Yield's July 2026 month reads 7.68%, and Shopify's blog quotes the June month at 5.7%. Repeat food orders on a subscription cadence produce exactly that pattern, high averages with big monthly swings.
Two rows exist only in IRP Commerce's panel. Arts and crafts leads IRP's July 2026 table at 5.23%, and health and wellbeing sits at 3.57%. Both are consumables with a hobby or routine behind them, which is the same mechanism as beauty and food in a different aisle.
The trade in these categories shows up on the order value page. Dynamic Yield's AOV benchmark (fetched September 6, 2026) puts pet care at $62, the lowest twelve-month order value in its panel, against a global $192. Multiply the rolling rate by the rolling AOV and pet care earns about $2.92 per visitor against the panel-wide $5.22 (2.72% times $192). That is our arithmetic on Dynamic Yield's two pages, not a figure it publishes. The same page lists beauty and food and beverage only as single months ($78 and $96 for June 2026), so there is no like-for-like product to run for those two rows; a rolling rate times a one-month order value is the kind of mixed-vintage number this page exists to avoid. High conversion in these rows buys frequency, not margin per visit.
Fashion, consumer goods and multi-brand retail: the middle of the table
TL;DR Fashion is the most benchmarked mid-table category and reads 2.77% (Dynamic Yield), 1.9% (Littledata, Shopify, 2023) or 1.81% (IRP Commerce, July 2026). Multi-brand retail sits at 3.01% and consumer goods at 2.47% on the same Dynamic Yield page.
Fashion, accessories and apparel is the reference row for most Shopify stores, and it has three independent readings. Dynamic Yield's rolling panel says 2.77%. Littledata's 2,800 Shopify stores averaged 1.9% in 2023, with the top 20% above 4.3% and the top 10% above 6.1%. IRP Commerce's fashion clothing and accessories sector converted at 1.81% in July 2026. The two broad panels agree within a tenth of a point; the enterprise panel sits almost a full point higher. If you run an apparel store on Shopify, the 1.8% to 1.9% pair is your peer group and 2.77% is the enterprise ceiling.
Dynamic Yield's AOV page gives fashion only as a single month, $303 for June 2026, not as a rolling figure, so there is no like-for-like revenue-per-visitor product to set against the 2.77% rolling rate. Fit, fabric and how the thing drapes are the questions a screen cannot answer, so the conversion battle in apparel is fought on the product page. Our guide to product page optimization for Shopify is the practical companion to this row.
Multi-brand retail converts at 3.01% in Dynamic Yield's panel and consumer goods at 2.47%. Dynamic Yield publishes no rolling order value for either row, only June and July 2026 months, so neither is quoted here. A multi-brand store's rate is the hardest to interpret, because its catalog is itself a blend: weight it toward consumables and it reads like the beauty row, weight it toward considered purchases and it reads like furniture.
IRP Commerce adds four mid-table sectors with no counterpart elsewhere: kitchen and home appliances at 3.34%, sports and recreation at 2.12%, cars and motorcycling at 1.82% and toys, games and collectables at 1.72% (all July 2026). The appliances figure is worth a second look next to Dynamic Yield's home and furniture row below: a kettle and a sofa both live under “home,” and they convert nearly three times apart.
Home, luxury and baby: the considered purchases
TL;DR Home and furniture 1.22% and luxury and jewelry 0.72% (Dynamic Yield), baby and child 0.55% (IRP Commerce, July 2026). Luxury carries the panel's highest twelve-month order value at $426 (Dynamic Yield), which only partly compensates.
Home and furniture converts at 1.22% in Dynamic Yield's rolling panel, and Shopify's blog quotes the June 2026 month at 1.29%. High prices, delivery logistics and purchases that involve two decision-makers stretch the buying window over weeks, so a per-session rate structurally undercounts the people who eventually buy. Dynamic Yield's AOV page gives home and furniture only as a June 2026 month ($288), not a rolling figure, so a like-for-like revenue-per-visitor check is not available for this row.
Luxury and jewelry is the floor of Dynamic Yield's table at 0.72% (June 2026 month via Shopify: 0.63%). It also has the highest twelve-month order value in the AOV panel at $426. The comforting story is that the ticket pays for the rate. The arithmetic says it pays for about half of it: 0.72% times $426 is roughly $3.07 per visitor against the panel-wide $5.22. Luxury's AOV premium runs about 2.2x the global average; its conversion deficit runs 3.8x. That is why raising average order value is usually the better lever than chasing conversion points in this row, and why a jewelry store at 1% is doing well, whatever a blended average says.
Baby and child is the lowest row in the whole table at 0.55% (IRP Commerce, July 2026), lower than luxury. It is a research-heavy category where a first-time buyer compares safety ratings and reviews across sites before committing, and where the buyer often is not the person who will use the product. IRP publishes no AOV for the sector, so there is no revenue-per-visitor check to run on it. If your store sits in any of these three rows, benchmark on revenue per visitor rather than on a session-level rate; at 0.55% to 1.22%, the session metric is the one most likely to make a healthy considered-purchase store look sick.
How to compare your Shopify store to the table
TL;DR Match the denominator (Shopify reports sessions), pick the panel that looks like you (Littledata's 1.4% median and 3.2% top-20% line for small and mid-size stores, Dynamic Yield for enterprise), split by device before you compare, and treat any month under a few thousand sessions as a range rather than a point.
Step 1: use the same denominator the benchmark uses
Shopify's conversion rate breakdown report computes each step as “the number of sessions for a step divided by the number of total sessions,” and it notes that a customer can make more than one purchase in a single session, so your order count and your sessions-that-completed-checkout count can differ (Shopify Help Center, behavior reports, fetched September 6, 2026). That is a sessions denominator.
Dynamic Yield describes its figure as the percentage of completed purchases by visitors. Statista counts visits. IRP Commerce does not state its denominator on the market data page. Littledata's Shopify data is session-based, the same as your Shopify admin. So the cleanest like-for-like comparison for a Shopify store is the Littledata column, then IRP and Dynamic Yield with a note that visitor-based rates read higher than session-based rates for the same store, because one shopper's three sessions collapse into one denominator unit.
Step 2: pick the panel that looks like your store
If you run a small or mid-size Shopify store, Littledata's ladder is the closest reference, because it is Shopify-only and measured on sessions, the same as your admin: median 1.4%, top 20% above 3.2%, top 10% above 4.7%, all 2023 data across 2,800 stores. Converting above 3.2% blended put you ahead of four in five comparable stores in that panel. If you run an enterprise store with a loyalty program and mostly returning buyers, Dynamic Yield's 2.72% and its industry rows are closer to your peer group.
Then find your row, not the global average. A Shopify supplements brand should be reading food and beverage (1.5% Littledata, 4.8% Dynamic Yield) and ignoring the 2.72%. A furniture store at 1.5% is above both the Dynamic Yield home and furniture row (1.22%) and the June 2026 month Shopify quotes (1.29%), even though it is “below average” on every global figure in this post.
Littledata's category ladders show how far the same platform panel spreads by industry. Its food and beverage stores averaged 1.5% with a top 10% above 6.2%; its fashion stores averaged 1.9% with a top 10% above 6.1% (2,800 Shopify stores, 2023). The averages differ by 0.4 points; the ceilings are nearly identical. On Shopify, the gap between a median store and a top-decile store in the same category is three to four times wider than the gap between categories.
Step 3: split by device before you compare anything
The panels disagree on device, and the disagreement is the lesson. Littledata's Shopify stores converted at 1.9% on desktop and 1.2% on mobile (2023). Contentsquare's retail data, as quoted in Shopify's August 2026 article, shows 3.7% on desktop against 2% on mobile. Dynamic Yield's live page, fetched today, shows the opposite order: mobile 2.88%, tablet 2.85%, desktop 2.37%. Two panels say desktop converts at roughly 1.6x to 1.9x mobile; the enterprise panel says mobile now leads.
The practical reading: an enterprise brand with a mature app and returning buyers has closed the mobile gap, and most Shopify stores have not. Statcounter's worldwide share for August 2026 is mobile 49.36%, desktop 49.11%, tablet 1.54% (all web traffic, not ecommerce-specific), so for a typical store about half of sessions arrive on the weaker device. Run the blend on Littledata's rates and a store with 70% mobile traffic lands at 0.7 times 1.2% plus 0.3 times 1.9%, or 1.41%, which is the panel median. The blended number says everything is fine; the split says most of the traffic converts at the panel's weakest rate. Compute mobile and desktop separately, then compare each to its own row. Littledata publishes the device ceilings too: its top 10% of Shopify stores converted above 3.9% on mobile and above 6.5% on desktop, and in food and beverage the desktop top decile cleared 8.9% (2023). Our mobile conversion guide for Shopify covers what to do when the mobile figure is the problem.
Step 4: check region and market drift before declaring an emergency
Dynamic Yield splits its 2.72% into EMEA 2.89%, Americas 2.66% and APAC 1.51% (fetched September 6, 2026). If you ship internationally and your APAC sessions convert at a little over half your domestic rate, the panel would have predicted that; check currency, payment methods and shipping cost before you check the theme. The order value page runs the other way for the Americas: $159 against EMEA's $219 and APAC's $120.
Year over year, adjust for the field. Contentsquare's 2026 benchmark has conversion down 5.1% across 6,500+ sites. A store whose September 2026 rate sits 3% under its September 2025 rate is roughly tracking the market. Compare the same window a year earlier, never the adjacent month, because sale weeks and holiday weeks convert like a different store.
Step 5: know how much of your number is noise
A conversion rate is a proportion measured on a sample, so it carries a margin of error. The standard error of a proportion is the square root of p times (1 minus p) divided by n. On a true 2% rate, that gives a 95% range of 1.13% to 2.87% at 1,000 sessions, 1.61% to 2.39% at 5,000, 1.83% to 2.17% at 25,000 and 1.91% to 2.09% at 100,000. Those are derived from the formula, not fetched from anyone. A store with 1,000 sessions a month and a genuinely constant 2% rate will post some months near 1.2% and others near 2.8% with nothing changing on the site. Pull at least a full month; if traffic is small, pull a quarter and treat the result as a band. The same arithmetic prices any test you run on the number afterward, and our significance calculator does it for your traffic in about a minute.
Step 6: benchmark the checkout separately
Baymard Institute's running average across 50 cart-abandonment studies is 70.22% (fetched September 6, 2026). Baymard also states that the average large ecommerce site can gain a 35.26% increase in conversion rate through better checkout design, and that about $260 billion in lost orders is recoverable across the US and EU. The 70.22% is measured; the 35.26% and the $260 billion are modeled from Baymard's usability research applied to aggregate sales, not the result of any A/B test, and most pages that quote them skip that distinction. Even as a modeled ceiling, it tells you where recoverable money concentrates. If your cart-to-order rate is worse than three in ten, start with reducing cart abandonment on Shopify before touching anything upstream.
Step 7: score revenue per visitor, not the rate alone
Revenue per visitor is conversion rate times average order value, and Dynamic Yield publishes both halves for the same panel: 2.72% times $192 is about $5.22 per visitor, with desktop orders at $265 against mobile's $169 (AOV page, fetched September 6, 2026; the product is our arithmetic). Run yours: your rate, times your AOV, per session, by device. A change that lifts conversion while shrinking order value can lose money, and a change that lowers conversion while raising order value can win. Conversion rate finds the leak; revenue per visitor decides whether the fix was worth shipping. The Shopify A/B testing guide covers how to run that decision honestly, and our Shopify CRO statistics roundup applies the same sourcing standard to the wider set of numbers.
One disclosure. We are building StorePilot, an AI CRO tool for Shopify that benchmarks a store against its own baseline and calls A/B test winners with deterministic statistics. It has not launched; there is a waitlist and published pricing. The table above works the same whether or not you ever use it.
Questions merchants keep asking
What is the average ecommerce conversion rate in 2026?
It depends on the panel. Dynamic Yield's rolling 12-month benchmark shows 2.72% globally, IRP Commerce shows 2.26% across all tracked markets for July 2026, and Statista reports 1.4% across its selected sectors for Q2 2026. All three were re-fetched on September 6, 2026. The spread is panel composition and denominator, not a measurement error.
What is a good ecommerce conversion rate?
A percentile inside your industry, not a single number. In Littledata's panel of 2,800 Shopify stores (2023), the median converted at 1.4%, the top 20% above 3.2% and the top 10% above 4.7%. A jewelry store at 1.3% is well above Dynamic Yield's 0.72% luxury average; a coffee store at 1.3% is well below the 4.8% food and beverage average on the same page.
Which industry has the highest ecommerce conversion rate?
Beauty and personal care, at 5.39% in Dynamic Yield's rolling 12-month benchmark (fetched September 6, 2026). Food and beverage (4.8%) and pet care (4.71%) sit just behind it. In IRP Commerce's July 2026 data the leader is arts and crafts at 5.23%. Shopify's blog quotes Dynamic Yield's June 2026 month at 5.7% for pet care, which shows how far a single month can swing above the rolling average.
Which industry has the lowest ecommerce conversion rate?
Luxury and jewelry in Dynamic Yield's panel (0.72%) and baby and child in IRP Commerce's July 2026 data (0.55%). Home and furniture (1.22%, Dynamic Yield) is the next lowest. High order values and long deliberation cycles hold conversion down in all three, and revenue per visitor is the fairer scoreboard there.
What is the average Shopify conversion rate?
1.4%, per Littledata's benchmark of 2,800 Shopify stores, using 2023 data, with mobile at 1.2% and desktop at 1.9%. It is a Shopify-only panel measured in 2023, so it is not like-for-like with an all-ecommerce rolling panel such as Dynamic Yield's 2.72%. The top 20% of the same panel converted above 3.2% and the top 10% above 4.7%.
Is a 2% conversion rate good for ecommerce?
Above the 1.4% Shopify-panel median (Littledata, 2023) and the 1.4% Statista Q2 2026 figure, below Dynamic Yield's 2.72% global average and IRP Commerce's 2.26%. Inside an industry it changes completely: 2% is nearly three times the luxury average (0.72%, Dynamic Yield) and well under half the beauty average (5.39%).
Is 2.5% a good conversion rate?
For most product categories, yes. 2.5% beats IRP Commerce's all-markets rate (2.26%, July 2026), Littledata's Shopify median (1.4%, 2023) and Statista's Q2 2026 average (1.4%), and sits just under Dynamic Yield's 2.72%. It would be an average result in fashion (2.77%, Dynamic Yield) and a weak one in beauty, food or pet care, where the same panel's averages run 4.71% to 5.39%.
Why does every website quote a different average conversion rate?
Because each one reads a different panel with a different denominator and vintage. Dynamic Yield divides completed purchases by visitors across its customer base (200M monthly unique users, 300M sessions, per its page) over a rolling 12 months and gets 2.72%. Statista counts visits in a single quarter and gets 1.4% for Q2 2026. Littledata measured 2,800 Shopify stores in 2023 and got 1.4%. IRP Commerce tracks its own retailer panel month by month and shows 2.26% for July 2026. None is wrong; a figure quoted without its panel and date is unusable.
What is the average cart abandonment rate?
70.22%, Baymard Institute's running average across 50 separate cart-abandonment studies, fetched September 6, 2026. Baymard also states that the average large ecommerce site could lift conversion by 35.26% through better checkout design, but that figure is modeled from usability research, not measured in an A/B test.
How do I calculate my ecommerce conversion rate?
Sessions that completed checkout, divided by total sessions, times 100. That is how Shopify's conversion rate breakdown report computes it, and Shopify notes that one session can contain more than one order, so orders divided by sessions will read slightly higher. Use at least a full month, keep the same denominator every month, and compare to a benchmark that uses the same one.
Sources
Every number on this page was read off one of the pages below on September 6, 2026. Rolling benchmarks change monthly; figures are as fetched.
- Dynamic Yield (Mastercard), ecommerce conversion rate benchmarks: rolling 12-month global, industry, region and device rates; July 2026 monthly pet care figure. Sample per the page: its customer base, 200M monthly unique users over 300M total sessions.
- Dynamic Yield, average order value benchmarks: rolling 12-month global ($192), luxury ($426) and pet care ($62) AOV, plus region and device; every other industry AOV on the page is labelled as a June or July 2026 month and is quoted only with that label. Same sample line as above.
- IRP Commerce, ecommerce market data: July 2026 v July 2025 conversion rate, all markets and ten sectors.
- Littledata, ecommerce conversion rate benchmarks: 2,800 Shopify sites, 2023; averages, percentiles, device, food and beverage and fashion rows.
- Statista, global conversion rate by industry, Q2 2026: 1.4% across selected sectors; beauty and skin 2.4%, food and beverage 2.3% from the ungated summary. Full chart paywalled.
- Shopify blog, ecommerce conversion rate, updated August 22, 2026: Dynamic Yield June 2026 industry figures, Statista Q1 2026 1.4%, Contentsquare retail device split.
- Contentsquare, 2026 Digital Experience Benchmark: 99 billion sessions, 6,500+ sites; conversion down 5.1% year over year, AOV up 6%. Ungated summary; full report gated.
- Baymard Institute, cart abandonment rate statistics: 70.22% across 50 studies; 35.26% and $260 billion are modeled figures.
- Statcounter Global Stats, platform market share worldwide: August 2026 mobile, desktop and tablet share of all web traffic.
- Shopify Help Center, behavior reports: the sessions-based conversion rate definition.
Not cited: Adobe's 2023 industry benchmark article timed out on two fetch attempts and its figures are excluded. Revenue-per-visitor products and the sampling-noise ranges are our arithmetic on the sources above and are labelled as such where they appear.
