ROAS Benchmarks by Industry: 2026 Data Across 12 Ecommerce Verticals

Most ROAS guides still repeat the same 4:1 target. That number is almost useless without industry, margin, channel, and attribution context. A 2x ROAS can be healthy for one store and unprofitable for another. A 6x retargeting ROAS can look strong while adding little incremental revenue.

This guide compiles public 2026 ROAS benchmarks across 12 ecommerce verticals and channels using data from rule1.ai's industry ROAS dataset, Search Lab's Google Ads statistics, AdAmigo's Meta breakdowns, and supporting reports from Triple Whale and trueprofit. It then explains how to read them without confusing reported revenue with profit.

What ROAS Means and How Industries Differ

ROAS (Return on Ad Spend) measures revenue generated for every dollar spent on advertising. A 4:1 ROAS means $4 in revenue per $1 in ad spend. The formula is simple, but the headline number hides three different realities that shift ROAS noticeably across industries.

Margin profile is the first lever. Beauty brands often run with higher gross margins and stronger repeat-purchase economics, so they can tolerate lower first-order ROAS than low-margin categories. But a 1.6x ROAS is only healthy if contribution margin and retention support it. Gross margin alone is not the breakeven test. Electronics retailers run with 10-20% margins, so a 3x ROAS can still be unprofitable after product cost and shipping.

Repeat purchase rate is the second. Beauty, supplements, and food categories acquire customers at a loss on the first order because subscription or repeat economics recover that cost over months. A 1.6x first-purchase ROAS becomes 4-6x blended ROAS once the third purchase lands.

Average order value is the third, and AOV benchmarks by industry show how wide that range runs. Furniture retailers may tolerate lower headline ROAS because a single $1,800 sale creates more absolute gross profit than a $40 apparel order. But 2x ROAS is only profitable if contribution margin after product cost, shipping, payment fees, and returns supports it.

When you read an industry-average ROAS figure, you are reading an average across all three of those variables. Your store's number can sit well above or below the median for legitimate structural reasons. The same pattern shows up in our ecommerce conversion rate benchmarks by industry, where Beauty and Apparel medians differ for similar reasons.

Key takeaway: Breakeven ROAS equals 1 divided by your contribution margin. If your contribution margin (after product cost, shipping, payment fees, expected returns) is 40%, breakeven ROAS is 2.5x. If it is 25%, breakeven is 4x. Calculate this first, then set ROAS targets above it.

How to Read These Benchmarks

Every ROAS number below carries three caveats. First, channel matters more than industry. Google Search ROAS runs about 1.5-2x higher than Meta in most verticals because Search captures higher-intent traffic. Second, attribution window matters. A 7-day click attribution window will show meaningfully higher ROAS than a 1-day view. Third, iOS 14.5 made parts of Meta's pixel reporting less reliable, so dashboard ROAS on Meta is now systematically lower than true ROAS for most accounts.

The table below uses median public 2026 reports. Treat ranges as floor-vs-ceiling, not point estimates.

Source Methodology

These benchmarks are directional. Sources use different attribution models, channel mixes, and sample populations, so numbers are not directly comparable as profit targets. Use them to size the gap between your store and the market, not as breakeven thresholds. Where sources disagree (for example, AdAmigo reports Fashion Meta ROAS at 2.65x while rule1.ai reports 2.18x), the Quick Reference table below prioritizes rule1.ai for cross-vertical consistency. Other sources are used for channel-level context and individual claims in industry sections.

Median ROAS Across 9 Verticals: At a Glance

Industry medians source: rule1.ai 2026 ROAS benchmarks. Higher-Ticket categories run a structurally lower headline ROAS of 1.8-2.5x per trueprofit's operator commentary. B2B services average around 3:1 on Google Ads per Search Lab. Subscription boxes typically run 0.5-2x first-order ROAS with 3x+ lifetime ROAS via LTV recovery. Real-world numbers sit roughly 0.5x below or 1.5x above these medians depending on creative quality, audience targeting, and product-market fit.

The chart sorts verticals by Meta ROAS, the channel where the industry gap is widest. Two patterns stand out. Home & Garden delivers the highest blended ROAS at 6.7x because higher AOV multiplies with strong creative. Health & Wellness and Food & Beverage sit at the bottom because ad policy restrictions and low AOV both compress unit economics.

Industry-by-Industry ROAS Breakdown

Fashion & Apparel

Fashion and apparel brands see a Meta median around 2.18x, with Google delivering roughly 3.40x and TikTok around 2.80x (rule1.ai 2026 benchmarks). Blended ROAS lands near 4.50x for stores that diversify across channels. Strong performers achieve 3.0-4.5x by using user-generated content and refreshing creatives often enough to outrun ad fatigue. Return rates of 20-30% mean dashboard ROAS is meaningfully higher than the net ROAS after returns process. Best channel mix typically includes Google Shopping with strong product imagery, retargeting flows that catch cart hesitation, and creative volume on Meta to combat fatigue.

Beauty & Personal Care

Beauty has the lowest median Meta ROAS of any major ecommerce vertical at around 1.57x (AdAmigo Meta benchmarks, confirmed by rule1.ai). Google sits around 2.80x. TikTok actually outperforms Meta here at 3.50x because Beauty content fits TikTok's discovery format. Established brands push Meta ROAS to 3.0x+, and top performers hit 4.0-6.0x by combining strong post-purchase email flows with replenishment subscriptions on consumables. Channel priorities for this vertical sit in email and SMS retention flows, influencer-led creative, and subscription mechanics that recover front-loaded acquisition cost over 60-90 days.

Consumer Electronics

Consumer electronics shows the widest ROAS spread by channel of any vertical. Meta sits around 1.92x while TikTok runs at 1.20x (rule1.ai). Google delivers around 3.02x because Search captures comparison-shopping intent. Meta ROAS in this category is roughly flat year over year (+1.46%), so the broad story is stagnation rather than the growth seen in Home & Garden or Food & Beverage. The TikTok number reflects an audience-intent mismatch: TikTok works for entertainment-driven impulse buys, but electronics shoppers want comparison data, reviews, and specs. Effective channels here are Google Shopping and Search for spec-led research, Amazon for mid-funnel intent, and YouTube for category education.

Food & Beverage

Food and beverage Meta ROAS sits around 1.56x with +7.17% year-over-year growth in 2026 (rule1.ai). Google delivers 2.60x and TikTok 1.60x. Blended ROAS reaches 3.40x with channel diversification. Low AOV plus low margin makes scaling paid acquisition genuinely difficult in this space without subscription or bundle mechanics. Best channel results come from subscription on consumables, bundles to lift AOV above shipping cost thresholds, and email for repeat purchase economics.

Home & Garden

Home & Garden Meta median sits around 2.18x and is climbing roughly 7% year over year in 2026 (rule1.ai). Google delivers 3.80x and TikTok 1.90x. Blended ROAS for premium DTC home brands hits 6.70x, the highest blended ROAS in any tracked vertical, because higher AOV multiplied with strong creative absorbs the higher CAC of premium categories. Channels that work best here include Google Shopping for product-led search, Pinterest for inspiration-driven browse, and Meta for retargeting after browse.

Health & Wellness

Health and wellness shows median ROAS around 1.50x on Meta and 2.12x on Google (rule1.ai). TikTok sits at 1.10x. The vertical is down 2.78% year over year. The structural constraint is ad policy: many products in this space face Meta and Google restrictions that limit reach, raise CPMs, and create attribution gaps. Top-performing channels work around platform policy through subscription mechanics, influencer and affiliate channels, and content marketing for SEO-driven acquisition.

Sports & Outdoors

Sports and outdoors lands at a Meta median of 2.28x and Google of 3.20x (rule1.ai). Blended sits at 2.85x with +3.77% year-over-year growth. The vertical sees strong seasonal swings that distort blended annual numbers. Winter gear peaks December through February. Outdoor gear peaks April through September. ROAS dashboards that do not seasonally adjust will show misleading off-season weakness. Channel priorities lean on Google Shopping for product search, seasonal campaign cadence, and bundling adjacent categories to lift AOV.

Pet Care

Pet care Meta ROAS sits around 1.58x with +7.07% year-over-year growth (rule1.ai). Google delivers 2.84x and blended sits around 2.50x. The vertical's economics work via subscription on food, treats, and supplies. Initial-purchase ROAS of 1.5x becomes 3-5x blended over 12 months of repeat purchases. Best channel mix runs subscription mechanics on consumables, retargeting for accessory upsells, and Amazon for branded search defense.

Higher-Ticket (Furniture, Appliances, Mattresses)

Higher-ticket categories run a structurally lower headline ROAS of around 1.8-2.5x (trueprofit ROAS guide) but each conversion produces hundreds to thousands of dollars in revenue. Consideration cycles often span 30-60 days, with shoppers comparing across multiple sessions and devices before purchasing. Dashboard ROAS that uses a 7-day click window will dramatically understate the true contribution of paid channels in this vertical. Effective channels here are Google Search for purchase-intent capture, retargeting flows tuned for the long consideration window, and showroom or quiz funnels that build confidence before purchase. Free-shipping thresholds work poorly because AOV is already high; bundling accessories or warranty add-ons works better.

Jewelry & Accessories

Jewelry and accessories ROAS sits at a Meta median around 2.10x and Google around 3.10x with a blended of 4.00x (rule1.ai). High AOV in this vertical means even modest ROAS multiples generate meaningful per-order profit. Brand equity and LTV matter more than channel ROAS because single-touch attribution understates the value of awareness campaigns. Best channels mix brand-led search defense, retargeting after high-value site interactions, and Meta plus YouTube for visual brand building.

Key takeaway: A lower ROAS in Beauty can be healthier than a higher ROAS in Electronics if contribution margin, repeat purchase rate, and return costs are stronger. Margin and LTV matter more than the multiple alone.

B2B Ecommerce

B2B services on Google Ads average around a 3:1 ROAS (Search Lab 2026 benchmarks). The harder issue is that B2B sales cycles often span 60-180 days, so single-touch ROAS measurement understates true revenue impact. CRM-integrated attribution that captures pipeline-to-revenue conversion shows ROAS 2-3x higher than ad-platform dashboards report. Channel priorities are Google Search for purchase-intent capture, LinkedIn for account-based campaigns, and content marketing as the dominant top-of-funnel channel.

Subscription Boxes

Subscription boxes typically run a first-order ROAS in the 0.5-2x range, often losing money on acquisition. The model recovers via month-2 and month-3 retention. A box averaging $30 monthly that retains for 4 months produces $120 LTV against a $40 CAC, which translates to a 3x lifetime ROAS even if the first-order dashboard shows 0.8x. CAC payback period is the metric that matters here, and our CAC calculator models exactly that. Effective channels are Meta for prospecting, retargeting for the inevitable cart abandonment, and creator partnerships for trust-led acquisition.

ROAS by Channel

Channel choice often matters more than industry for the headline ROAS number.

Search Lab reports ecommerce Google Ads ROAS around 4:1, above its all-industry Google Ads average of 2:1 (Search Lab Google Ads benchmarks). Search captures higher-intent traffic than social channels. Performance Max campaigns deliver around 8% better ROAS than traditional campaigns according to the same dataset. Ecommerce Search CPC averages around $1.30 in 2026.

Meta Ads (Facebook + Instagram) sits around a 2.79-3.61x ecommerce median in 2026 (AdAmigo). Advantage+ Shopping Campaigns deliver around 22% higher ROAS than manual setups. Meta is most affected by iOS 14.5 attribution gaps, so dashboard ROAS is meaningfully lower than true ROAS for most accounts.

TikTok Ads runs lower direct-response ROAS than Google and Meta for most verticals, but the platform overperforms in Beauty (3.50x) and Fashion (2.80x) where discovery-driven content fits the format (rule1.ai). Electronics and considered-purchase categories perform poorly because audience intent mismatches purchase behavior.

Amazon Sponsored Products typically delivers ROAS in the 3-5x range across most retail categories because of mid-funnel intent, with the industry average around 3.4x (Osmos retail media benchmarks). Amazon ROAS is more comparable to retail-store advertising than to social-platform paid media.

Email often reports much higher ROAS than paid channels, frequently in the 20-40x range, but it monetizes an owned audience rather than acquiring new demand. Treat email ROAS separately from paid channels rather than mixing it into a blended number.

Why ROAS Benchmarks Disagree

Different sources publishing ROAS by industry rarely match each other. A Fashion ROAS reported as 2.18x by one aggregator and 2.65x by another is not a contradiction. They often measure different things.

Platform-reported vs analytics-platform-reported

Meta's dashboard shows Meta-attributed ROAS. Google Analytics 4 shows last-non-direct-click ROAS. Triple Whale or Northbeam show first-party-tracked ROAS. The same campaign can produce three different numbers across three dashboards.

Blended vs new-customer

Blended ROAS divides total store revenue by total ad spend, which mixes repeat purchasers into the number. New-customer ROAS isolates first-time buyers. Subscription and beauty brands often show blended ROAS 2-3x higher than new-customer ROAS.

First-order vs lifetime

First-order ROAS captures only the initial purchase. Lifetime ROAS includes follow-on revenue from the same customer. Brands with strong retention can run unprofitable first-order ROAS that becomes healthy lifetime ROAS over 6-12 months.

Prospecting vs retargeting

Retargeting ROAS is often 2-4x higher than prospecting ROAS because the audience is already qualified. A blended ROAS that does not separate these understates prospecting weakness.

Gross vs net revenue

Returns and refunds can erase 15-30% of dashboard revenue in apparel and electronics. Reported ROAS rarely nets these out.

Attribution window differences

A 28-day click window inflates reported ROAS substantially compared to a 7-day click and 1-day view window, which is the current default.

When you compare your store's ROAS to a public benchmark, the first question is what the benchmark actually measures. Many apparent gaps shrink substantially once attribution window, funnel stage, and revenue definition are normalized.

ROAS Calculation Pitfalls

The ROAS your ad platform reports is not the ROAS your accounting reports. Two measurement issues consistently distort the dashboard number.

iOS 14.5 made Meta pixel reporting less reliable

Some attribution analyses estimate Meta underreports conversions by around 15-30% in affected accounts, with reporting gaps reaching 30-50% for app-heavy advertisers in 2026 (Adligator Meta attribution). A large share of iOS users opt out of app tracking when prompted. Meta Pixel attribution accuracy has deteriorated by around 40-60% in many accounts, which translates to material under-capture of conversions (DOJO AI Meta Ads Attribution). For serious Meta measurement, running the Pixel plus Conversions API together is now table stakes. Pixel-only setups consistently underreport conversions by enough to mislead budget decisions.

ROAS is not profit

A campaign with 4x ROAS on low-margin products can lose money once you subtract product cost, shipping, transaction fees, and returns. POAS (Profit on Ad Spend) increasingly replaces ROAS for serious profitability tracking, covered in the next section.

What Affects ROAS Within an Industry

Five factors swing ROAS within the same industry by 2-4x.

Brand awareness lowers CAC because branded search traffic and direct retargeting convert at multiples of cold prospecting. Brands that invest in organic SEO and content marketing see their paid ROAS climb over 12-24 months as brand search volume grows.

AOV mechanically lifts ROAS. A free shipping threshold is one way to raise AOV, but the shipping it gives away has to be paid back, and the tests cited in the free shipping threshold guide show AOV gains of about 6%. The guide shows how to set a threshold and check what it costs. Pair with the AOV calculator to model the effect on your store specifically.

Repeat purchase rate lets brands accept lower first-order ROAS because LTV recovers the gap. Subscription mechanics, replenishment reminders, and post-purchase email flows are the primary levers.

Channel maturity affects diminishing returns. A new ad account with $5K monthly spend often hits 4-5x ROAS. The same account at $50K monthly spend often falls to 2-3x as it exhausts the most efficient audiences. Scaling spend without expecting ROAS dilution is a common planning mistake.

Conversion rate directly multiplies ROAS. If AOV stays at $80 and CPC stays at $1.20, raising conversion rate from 1.8% to 2.4% lifts revenue per 1,000 clicks from $1,440 to $1,920. That is a 33% ROAS lift with no change to ad spend or AOV, and conversion rate is usually the highest-impact lever a store has. Our Shopify CRO benchmarks data covers where conversion gaps typically sit across 190 audited Shopify stores. The Shopify conversion rate optimization guide walks through the structural fixes that move CR meaningfully.

Key takeaway: Conversion rate is the highest-impact ROAS lever most marketers underuse. A 33% lift from CR work beats a 10% lift from ad creative work in almost every case.

ROAS vs POAS: The Profitability Lens

ROAS hides what POAS reveals. POAS (Profit on Ad Spend) divides actual profit by ad spend after subtracting product cost, shipping, transaction fees, and returns. The gap between ROAS and POAS can be sizable.

One brand cited in Digital Ads Calculator's POAS analysis found that high-margin products at 3.5x ROAS generated $20 net profit per order while low-margin products at 5.5x ROAS made only $4 profit per order. Optimizing for ROAS alone misled budget allocation toward lower-profit campaigns.

POAS is gaining traction as a profitability metric in 2026 as logistics costs, platform fees, and product margins shift faster than ROAS dashboards can keep up. The metric is harder to set up because it requires per-SKU cost data, but it answers the question ROAS cannot answer: am I making money on this campaign after all variable costs?

FAQ

What is a good ROAS in 2026?

A generic 4:1 ROAS remains a useful directional target for ecommerce, but the right answer depends on industry, channel, and margin profile. Beauty brands with high repeat purchase rates may tolerate lower first-order ROAS, while low-margin or high-fulfillment-cost categories often need much higher ROAS to break even. Calculate breakeven ROAS from contribution margin (not gross margin) first, then set targets above it.

Is 4:1 still the gold standard?

No. The 4:1 rule dates back to mid-2010s digital marketing playbooks when attribution was cleaner and platform costs were lower. With iOS 14.5 attribution degradation, rising platform CPMs, and POAS replacing ROAS as the profitability lens, the 4:1 rule oversimplifies a problem that needs margin-specific math. Some stores can tolerate lower first-order ROAS because of strong contribution margin and LTV. Others need much higher ROAS because of low margins, shipping costs, or high return rates.

How is ROAS different from ROI?

ROAS measures revenue divided by ad spend. ROI measures profit divided by total investment, where total investment includes ad spend plus product, fulfillment, salaries, and overhead. ROAS is a channel-level metric used to compare campaigns. ROI is a business-level metric used to evaluate whether marketing as a whole pays back. POAS sits between them as a channel-level profitability metric.

Why is my Meta ROAS lower than Google?

Google Search captures higher-intent traffic, so reported ROAS runs about 1.5-2x higher than Meta across most ecommerce verticals. Meta's audience-targeting model finds people who might buy, while Google's keyword-based targeting finds people actively searching. Meta also bears the brunt of iOS 14.5 attribution gaps, which means actual Meta ROAS is meaningfully higher than dashboard ROAS for most accounts.

Should I track ROAS or POAS?

Track both. ROAS gives a quick performance read across campaigns. POAS reveals whether each campaign contributes to the bottom line. Most ecommerce teams now use ROAS as the operational dashboard metric and POAS as the strategic profitability metric. If forced to pick one for budget decisions, POAS is the better signal.