The short version:
- The average Google Shopping CPC is $0.66, which is 87% cheaper than Search at $5.26. Category range spans $0.55 (Food and Grocery) to $1.50 (Industrial/B2B).
- Shopping ROAS ranges from 3:1 to 6.5:1 across categories. Apparel delivers 6.1x while Electronics delivers 3.8x, but at 25% margins Electronics needs 4x just to break even.
- Performance Max now captures 62% of Shopping spend and 61% of Shopping-attributed sales, but Standard Shopping delivers $5 lower CPA ($38.87 vs $43.91).
- Platform-reported ROAS is 2 to 5x higher than true incremental impact, according to Cassandra's analysis of 253 media mix models covering $383M in spend.
- Desktop converts at 4.31% vs mobile at 3.48%, a 24% gap, while mobile generates roughly 60% of Shopping impressions.
- Q4 Shopping CPCs spike 25 to 30% with Black Friday CPMs rising 18% year-over-year. Q1 offers the cheapest clicks of the year.
- The average Shopping conversion rate is 1.91%. Moving from 1.91% to 3.82% CVR doubles conversions without increasing ad spend.
Google Shopping 3-lens profit calculator
Your dashboard shows ROAS. Your CFO wants profit. This calculator runs your Shopping numbers through all three lenses — reported, margin-adjusted, and incrementality-discounted.
Category benchmarks from Store Growers, Triple Whale, LocaliQ, Echelonn. Break-even formula: 1 ÷ margin. Incrementality discount (2.5x median) from Cassandra's analysis of 253 MMM models covering $383M in spend. PMax incremental ROAS median: 4.64x.
Google Shopping benchmarks are the average performance metrics that ecommerce advertisers achieve across product categories on Google's Shopping ad format, including both Standard Shopping campaigns and Performance Max. These benchmarks cover cost per click (CPC), click-through rate (CTR), conversion rate (CVR), cost per acquisition (CPA), and return on ad spend (ROAS).
A single "average Shopping ROAS" number hides the fact that profitability depends entirely on your product margins. A 4:1 ROAS is a strong return for a fashion brand with 65% margins. The same 4:1 ROAS is break-even for an electronics retailer with 25% margins. This article layers benchmarks from surface metrics through conversion data to margin-adjusted profitability targets so you can answer the question that matters: "Am I making money?"
The data below is aggregated from Store Growers (Shopping benchmarks 2026), Tinuiti (Q4 2025 Digital Ads Report), Cassandra (253 MMM models, $383M spend), Triple Whale (18,000+ brands), and LocaliQ (Google Ads benchmarks).
Google Shopping Benchmarks by Product Category: CPC, CTR, CVR, ROAS, and Break-Even ROAS
The master table below shows average performance metrics across 12 product categories. The final two columns are what no other Shopping benchmark article provides: typical product margin and the break-even ROAS threshold at that margin. These columns transform "is my ROAS good?" into "am I profitable?"
| Category | Avg CPC | Avg CTR | Avg CVR | Avg CPA | Avg ROAS | Typical Margin | Break-Even ROAS |
|---|---|---|---|---|---|---|---|
| Apparel/Fashion | $0.89 | 1.0 to 1.2% | 2.4% | $37.08 | 6.1x | 60 to 70% | 1.43 to 1.67x |
| Electronics/Consumer Tech | $1.42 | 0.7 to 0.9% | 1.8% | $78.89 | 3.8x | 20 to 30% | 3.33 to 5.0x |
| Home and Garden | $1.05 | 1.41% | 2.9% | $28.64 | 4.5x | 40 to 55% | 1.82 to 2.5x |
| Health and Beauty | $0.95 | 1.0 to 1.3% | 2.5% | $38.00 | 6.1x | 60 to 75% | 1.33 to 1.67x |
| Sports and Outdoors | $0.85 | 1.1 to 1.4% | 2.2% | $38.64 | 4.0x | 40 to 55% | 1.82 to 2.5x |
| Food and Grocery | $0.55 | 0.8 to 1.0% | 2.0% | $27.50 | 3.5x | 30 to 45% | 2.22 to 3.33x |
| Automotive Parts | $0.75 | 0.6 to 0.8% | 1.5% | $50.00 | 3.0x | 30 to 45% | 2.22 to 3.33x |
| Toys and Games | $0.70 | 1.2 to 1.5% | 2.3% | $30.43 | 4.5x | 45 to 60% | 1.67 to 2.22x |
| Jewelry and Accessories | $1.20 | 0.7 to 1.0% | 1.5% | $80.00 | 2.5x | 55 to 70% | 1.43 to 1.82x |
| Pet Supplies | $0.65 | 1.0 to 1.3% | 2.3% | $28.26 | 4.5x | 40 to 55% | 1.82 to 2.5x |
| Office Supplies | $0.60 | 0.8 to 1.0% | 2.0% | $30.00 | 3.0x | 25 to 40% | 2.5 to 4.0x |
| Industrial/B2B | $1.50 | 0.5 to 0.7% | 1.2% | $125.00 | 2.0x | 20 to 35% | 2.86 to 5.0x |
Sources: Store Growers, Triple Whale, Echelonn, LocaliQ, Hawky AI
Apparel and Fashion delivers the highest ROAS at 6.1x because high margins (60 to 70%) and visual product appeal create strong Shopping ad engagement. Fashion brands profit at just 1.5x ROAS, which means the 6.1x average provides substantial room for scaling.
Electronics carries the highest CPC at $1.42 and the thinnest margins at 20 to 30%. The break-even ROAS of 3.33 to 5.0x means the category average of 3.8x is barely profitable for retailers at the low end of the margin range. Electronics advertisers need either higher-margin product mix or exceptional conversion rates to build sustainable Shopping campaigns.
Home and Garden has the best CPA at $28.64 and the highest CTR at 1.41%, which grew 11% year-over-year. The combination of moderate CPCs, strong click-through, and above-average conversion rates makes this one of the most efficient Shopping categories.
Jewelry and Accessories shows a 2.5x ROAS, which looks weak against the 3:1 to 6.5:1 range. But at 55 to 70% margins, the break-even ROAS is only 1.43 to 1.82x. A 2.5x ROAS on jewelry is more profitable per dollar than a 3.8x ROAS on electronics. This is why margin-adjusted benchmarks exist.
Platform-Wide Averages
| Metric | Average | Source |
|---|---|---|
| Shopping CPC | $0.66 | Store Growers, Echelonn |
| Shopping CTR | 0.86% | Store Growers |
| Shopping CVR | 1.91% | Store Growers, PPC.io |
| Shopping CPA | $38.87 | Cross-industry benchmarks |
| Shopping ROAS | 3:1 to 6.5:1 | Store Growers, BrightBid |
| Search CPC (context) | $5.26 | LocaliQ |
Shopping's $0.66 CPC is 87% cheaper than Search's $5.26. But the real variance is within Shopping itself. Electronics at $1.42 is 2.6x more expensive than Food and Grocery at $0.55, and carries 30% lower margins. The combination of higher cost and lower margin means Electronics retailers need 2x the ROAS of fashion brands just to break even.
Standard Shopping vs Performance Max: The Definitive Comparison
Every ecommerce advertiser in 2026 faces the same strategic question: Standard Shopping, Performance Max, or both? PMax now captures 62% of Shopping spend and 61% of Shopping-attributed sales. But the migration is not a simple upgrade.
| Metric | Standard Shopping | Performance Max | Delta |
|---|---|---|---|
| CPC | $0.66 | $0.75 (est.) | PMax ~14% higher |
| CTR | 0.86% | Varies by channel mix | Depends on placement |
| CVR | 1.91% | Similar or higher | Comparable |
| CPA | $38.87 | $43.91 | Shopping $5 lower |
| ROAS (Platform-Reported) | 3:1 to 5:1 | 4.1:1 (reported) | PMax appears higher |
| ROAS (Incremental) | N/A | 4.64x | Cassandra MMM data |
| Channel Coverage | Shopping + Search | 7 channels | PMax much broader |
| Brand Traffic Risk | Controllable | Captures branded searches | Major risk without exclusions |
Sources: Tinuiti, Cassandra, Store Growers, smec
Standard Shopping delivers $5 lower CPA ($38.87 vs $43.91) because it operates exclusively in Shopping and Search placements where purchase intent is highest. PMax distributes spend across 7 channels including YouTube, Display, Discover, and Gmail, which include lower-intent placements that raise the blended CPA.
PMax reports higher ROAS (4.1:1) partly because it captures branded search traffic that would convert at near-zero cost through organic or branded Search campaigns. When PMax and branded Search campaigns run simultaneously without exclusions, PMax absorbs branded queries, inflating its reported ROAS while reducing branded Search impression share.
The Brand Cannibalization Problem
PMax shows a tendency to capture branded searches that would normally flow to lower-cost branded Search campaigns. The result: PMax ROAS looks artificially strong while true incremental value is obscured.
Detection method: run a monthly cross-campaign analysis. If branded Search impression share drops after PMax launches and PMax ROAS is unusually high, cannibalization is occurring.
The solution in 2026 is to use brand exclusions at the campaign level. PMax and Standard Shopping now compete based on Ad Rank with no automatic hierarchy, allowing both to run simultaneously with proper setup.
The recommended campaign structure:
- Shopping Standard (Brand): For branded product searches. Maximum control, lowest CPC.
- Shopping Standard (Non-Brand): For non-branded product searches. Controlled targeting, predictable CPA.
- Performance Max (Prospecting): For new customer acquisition with brand exclusions enabled. Broadest reach, algorithm-driven optimization.
This structure preserves the cost efficiency of Standard Shopping for branded and non-branded search while using PMax for incremental prospecting across all 7 channels.
The Margin-Adjusted ROAS Framework: What ROAS Do You Actually Need?
A 4:1 ROAS is meaningless without margin context. The break-even ROAS is calculated as 1 divided by your gross margin. Everything above break-even is profit. Everything below is loss.
| Product Margin | Break-Even ROAS | "Good" ROAS | "Great" ROAS | Example Categories |
|---|---|---|---|---|
| 20 to 30% (low margin) | 3.33 to 5.0x | 5.0 to 7.0x | 8.0x+ | Electronics, auto parts, office supplies |
| 30 to 45% (mid-low margin) | 2.22 to 3.33x | 3.5 to 5.0x | 6.0x+ | Food/grocery, sports equipment |
| 45 to 60% (mid-high margin) | 1.67 to 2.22x | 2.5 to 3.5x | 4.0x+ | Toys, home goods, pet supplies |
| 60 to 75% (high margin) | 1.33 to 1.67x | 2.0 to 3.0x | 3.5x+ | Fashion, beauty, jewelry, digital products |
Sources: Hawky AI, WebFX, BrightBid
Worked Examples
Fashion brand (65% margin, $80 AOV): Break-even ROAS is 1.54x. Current Shopping ROAS is 6.1x. Profit per $1 of ad spend: $3.97. Status: highly profitable. Scale aggressively.
Electronics retailer (25% margin, $200 AOV): Break-even ROAS is 4.0x. Current Shopping ROAS is 3.8x. Status: below break-even. This retailer is losing money on Shopping and needs either higher-margin product mix, improved conversion rates, or reduced CPC through better feed optimization.
Home goods brand (50% margin, $60 AOV): Break-even ROAS is 2.0x. Current Shopping ROAS is 4.5x. Profit per $1 of ad spend: $2.50. Status: profitable with room to increase bids for volume.
The Incrementality Reality Check
Your Google Ads dashboard likely overstates Shopping ROAS by 2 to 5x compared to true incremental impact.
| Metric | Value | Source |
|---|---|---|
| Platform-reported vs incremental gap | 2 to 5x overstatement | Cassandra (253 MMM models) |
| PMax incremental ROAS (median) | 4.64x | Cassandra 2026 |
| Search non-brand incremental ROAS | 5.21x | Cassandra 2026 |
| Search brand incremental ROAS | 4.14x | Cassandra 2026 |
Source: Cassandra (253 media mix models, $383M in spend)
A reported 8:1 ROAS may be a 3:1 incremental ROAS. This does not mean Shopping is ineffective. Cassandra's 4.64x PMax incremental ROAS is strong. But it means margin-based ROAS targets must account for the attribution gap.
If your margin requires 4:1 to break even and your reported ROAS is 5:1, you may be at 2:1 incremental, which means you are losing money despite what the dashboard shows. The margin-adjusted framework above assumes platform-reported ROAS. Apply a 2 to 3x discount to estimate incremental profitability.
Device Performance: The Mobile CRO Imperative
Mobile generates roughly 60% of Shopping impressions, but desktop converts at a meaningfully higher rate. The gap creates a CRO opportunity that most ecommerce advertisers overlook.
| Metric | Desktop | Mobile | Delta |
|---|---|---|---|
| CVR | 4.31% | 3.48% | Desktop 24% higher |
| CPC | Higher | 10 to 20% lower | Mobile CPCs cheaper |
| ROAS | Higher (driven by CVR) | Lower (driven by CVR) | Desktop ROAS 20 to 30% higher |
| Share of Impressions | ~35% | ~60% | Mobile dominant |
Source: LocaliQ
The 24% conversion gap means the majority of your Shopping traffic (mobile) converts at a lower rate than the minority (desktop). On a $10,000 monthly Shopping budget, if 60% of clicks go to mobile at 3.48% CVR and 40% go to desktop at 4.31% CVR, closing the mobile gap by even 0.5 percentage points adds roughly 45 conversions per month without increasing spend.
Mobile product page optimization is the highest-leverage CRO investment for Shopping advertisers. Fast load times, thumb-friendly add-to-cart buttons, streamlined mobile checkout, and simplified product image galleries are where the 24% gap narrows. The friction points that desktop users tolerate (multi-step checkout, small tap targets, slow image carousels) cost measurable conversions on mobile.
Seasonal Benchmarks and Budget Planning
Shopping CPCs follow a predictable seasonal pattern. Advertisers who plan for it save 15 to 20% on annual acquisition costs.
CPC Trends by Quarter
| Period | CPC Trend | CPM Trend | Notes |
|---|---|---|---|
| Q1 2026 | Shopping CPCs fell 1% | Lower | Post-holiday opportunity: cheapest clicks of the year |
| Q2 2026 | Moderate | Moderate | Baseline |
| Q3 2025 | Shopping CPC inflation peaked at +16% YoY | Rising | Back-to-school and pre-holiday preparation |
| Q4 2025 (Holiday) | +9% CPC YoY | +18% CPM YoY (Black Friday) | Budget for 25 to 30% premium |
Q4 CPCs spike 25 to 30%, but conversion rates also increase because buyer intent peaks during the holiday season. Advertisers who pull back in Q4 to avoid high CPCs miss the highest-volume, highest-intent period of the year. The correct approach is to increase budgets while adjusting ROAS targets 15 to 20% lower to account for the cost premium.
Q1 is the real opportunity. CPCs drop to annual lows while purchase intent remains strong from gift card redemptions, returns-driven repurchasing, and New Year buying behavior. Front-loading acquisition spend in Q1 and Q2 captures cheaper clicks before the Q3 ramp begins.
Budget Allocation Model
| Quarter | % of Annual Budget | Rationale |
|---|---|---|
| Q1 (January to March) | 18 to 20% | Lowest CPCs, gift card and New Year spending |
| Q2 (April to June) | 22 to 25% | Baseline CPCs, steady demand |
| Q3 (July to September) | 23 to 25% | Back-to-school, pre-holiday ramp, rising CPCs |
| Q4 (October to December) | 30 to 37% | Highest CPCs but highest intent and volume |
The total adds up to more than 100% at the top end because Q4 often justifies pulling forward budget from lower-performing quarters. A $120,000 annual Shopping budget would allocate roughly $22,000 to Q1, $28,000 to Q2, $29,000 to Q3, and $41,000 to Q4.
How to Use These Benchmarks
Start by finding your product category row in the master table. Compare your CPC, CVR, and ROAS against the category benchmarks. If your CPC is within 20% of the category average, your bidding and feed optimization are functioning normally.
Next, calculate your margin-adjusted ROAS target using the profitability table. Divide 1 by your gross margin to find your break-even ROAS. If your current ROAS is below that threshold, you are losing money on Shopping regardless of what the dashboard reports.
Then apply the incrementality discount. Your reported ROAS is likely 2 to 5x higher than your true incremental ROAS. If your break-even ROAS is 3x and your reported ROAS is 5x, your incremental ROAS may be 2x to 2.5x, which is below break-even.
Check your device mix. If mobile generates 60% of your traffic and your mobile CVR is significantly below desktop, mobile product page optimization is your highest-leverage improvement. The 24% desktop-to-mobile CVR gap is common and addressable through faster load times, simplified checkout, and mobile-optimized product pages.
Finally, review your campaign structure. If you are running PMax without brand exclusions, check whether branded Search impression share has declined since PMax launched. If it has, implement the three-campaign structure (Standard Brand, Standard Non-Brand, PMax Prospecting) to protect branded traffic economics while leveraging PMax for incremental reach.
Frequently Asked Questions
What is a good ROAS for Google Shopping in 2026?
It depends on your margins. The average Shopping ROAS is 3:1 to 6.5:1. But break-even ROAS varies from 1.5x for high-margin fashion (65% margin) to 5x for low-margin electronics (20% margin). Use the margin-adjusted table: divide 1 by your gross margin to find your break-even, then target 1.5 to 2x above that for profitable growth. See our full ROAS benchmarks by industry for cross-channel context.
Should I use Standard Shopping or Performance Max?
Use both. Standard Shopping delivers $5 lower CPA ($38.87 vs $43.91) and provides more control over branded traffic. Performance Max delivers broader reach across 7 channels and 4.64x incremental ROAS. Run Standard Shopping for branded and non-branded product searches, and PMax with brand exclusions for prospecting.
What is the average Google Shopping CPC in 2026?
The average Shopping CPC is $0.66, which is 87% cheaper than Google Search at $5.26. Category range spans from $0.55 for Food and Grocery to $1.50 for Industrial/B2B. In the EU, the average is €0.36 for Standard Shopping and €0.41 for PMax. For full Search CPC context, see our Google Ads benchmarks by industry breakdown.
Does Performance Max cannibalize branded search?
Yes, without brand exclusions. PMax will capture branded product searches that would normally flow to lower-cost branded Search campaigns, inflating PMax ROAS while eroding branded Search impression share. Use brand exclusions at the campaign level and monitor branded Search impression share monthly. If it declines after PMax launches, cannibalization is occurring.
How much more does Q4 cost for Shopping ads?
Q4 Shopping CPCs increase 25 to 30% above baseline, with Black Friday CPMs rising 18% year-over-year. But conversion rates also increase because buyer intent is at annual highs. Budget 30 to 37% of annual Shopping spend in Q4 and adjust ROAS targets 15 to 20% lower to account for higher costs.
Is mobile or desktop better for Google Shopping?
Desktop converts 24% higher (4.31% vs 3.48% CVR) and delivers 20 to 30% higher ROAS. But mobile generates roughly 60% of Shopping impressions. You cannot choose one over the other. Optimize mobile product pages to close the CVR gap, and consider device-level bid adjustments if mobile ROAS is significantly below your break-even threshold. For the broader ecommerce CVR picture, see our ecommerce conversion rate benchmarks.