Google Ads vs Meta Ads ROI Benchmarks Across 10 Industries
Compare Google Ads and Meta Ads ROI, ROAS, CPL, and conversion rates across 10 industries with 2026 benchmarks and budget allocation guidance.
Most paid-media debates about Google Ads versus Meta Ads treat the two platforms as philosophies: intent capture against interest discovery, demand harvest against demand creation. That framing is useful once, in a strategy deck. It is useless when you are deciding whether to shift the next $50,000 toward Performance Max or Advantage+ Shopping. The question media buyers actually need answered is narrower and more awkward: in your specific vertical, which platform returns more per dollar right now, and where should incremental budget go next quarter.
This piece lines up current 2026 ROAS, CPL, CPC, and conversion-rate data across ten verticals and turns it into a split framework you can defend in a budget meeting.
The Headline Numbers Favor Google, But Not Everywhere
Across industries in 2026, Google Ads ROAS averages around 3.7x while Meta lands closer to 2.2x, with "good" ROAS for most advertisers falling in the 2:1 to 4:1 band. That gap is real, but it is also an average that hides the trade-off that actually matters: cost per click and cost per lead.
Meta's average CPC runs between $0.70 and $1.92 depending on objective, versus Google Ads averaging $5.26. The CPL gap is sharper. The same dataset puts Meta's average cost per lead at $27.66 against Google's $70.11. Google wins on return per converted session; Meta wins on volume at the top of the funnel. The right split depends entirely on how much of your revenue model lives in the gap between a lead and a closed deal.
If you want a deeper primer on how to think about return math before applying these numbers, the ROAS guide covers the arithmetic plumbing.
Industry-By-Industry Where The Budget Should Tilt
The ten verticals below are the ones where PPC.co fields the most "which platform?" questions. Figures are 2026 medians from the sources cited inline.
Ecommerce. Google Shopping and Performance Max still carry category-defining purchase intent, but Meta has closed hard here. Fashion & Apparel sees a 2.18 Meta ROAS against 3.40 on Google, while Health & Wellness runs 1.50 Meta against 2.12 Google. Direct-to-consumer brands with strong creative pipelines consistently narrow that gap through Advantage+ Shopping.
SaaS. Meta beats Google on raw CPL — roughly $63.40 on Meta versus Google's $75-$120 range for B2B SaaS — but lead quality is the catch. Treat Meta as top-of-funnel for content offers and reserve Google Search for high-intent demo requests.
Legal. Google still owns this vertical for lead-to-case economics, despite legal services carrying one of the highest search CPCs on the platform. Meta can supplement with mass-tort and class-action creative, where the audience is broader than the keyword.
Home services. Google Local Services Ads and Search dominate for emergency-intent queries (HVAC failures, plumbing, electrical). Meta works for scheduled, higher-ticket work — remodeling, roofing, solar — where the buyer is researching, not calling.
Healthcare. Compliance and category restrictions push many sub-verticals toward Google by default. Where Meta is allowed, lead costs are lower but lead qualification burden is higher. The Paid Ads Statistics in Healthcare report has the deeper breakdown.
Finance. Google wins on intent, Meta wins on scale for consumer-finance offers like refinancing, insurance quoting, and credit cards. Both platforms demand aggressive negative-keyword and audience exclusion work to keep CPL in a sane range.
Real estate. Google captures bottom-funnel search ("homes for sale [city]") while Meta drives top-funnel lead magnets (home valuation tools, buyer guides). The 70/30 Meta tilt most agents default to is often wrong at the brokerage level.
Education. Program-specific keywords on Google are expensive but convert; Meta's targeting works for broad awareness and non-traditional degree programs. Lead quality from Meta requires an SDR layer, not a form submission.
Auto. This is the single clearest Meta-forward vertical in the data. Rule1's 2026 median puts Meta Automotive ROAS at 2.54, the highest category Meta measured. For dealerships specifically, pair that with inventory-feed Google campaigns.
B2B. Neither platform is sufficient alone. Google Search handles solution-aware demand; Meta handles brand and remarketing. LinkedIn remains the pipeline-quality anchor, as covered in the Google Ads vs. LinkedIn Ads breakdown.
Advantage+ Is Rewriting The Meta Side Of The Comparison
Any benchmark older than 12 months understates Meta because it predates Advantage+ Shopping's dominance. Advantage+ Shopping Campaigns accounted for 34% of Meta ecommerce conversion spend in 2024 and grew to 62% by 2025. The shift matters because Advantage+ is not the same product as Meta's manual campaigns.
Meta's internal benchmarks put Advantage+ Shopping at an average 4.52x ROAS versus 3.70x for equivalent manual campaigns — a 22% improvement. That is roughly the same jump WordStream-cited data shows for brands that run Google and Meta together instead of picking one, which consistently produces 15 to 25 percent higher overall ROAS than single-platform teams.
On the scale side, Meta's AI-powered Advantage+ end-to-end ad solutions reached a $75 billion annual revenue run rate in Q2 2026. If you are still testing Meta the way you tested it in 2023, the engine underneath has already changed.
A Budget-Split Framework That Survives Contact With A P&L
Most splits are set by habit, not math. Here is a sequence that holds up when finance asks why.
- Classify the buying motion. High-intent, low-volume (legal, home services emergencies, B2B demo requests) tilts Google. Discovery-driven, high-volume (DTC, auto, consumer finance offers) tilts Meta.
- Set a CAC ceiling, not a CPL target. CPL benchmarks are noise if close rate and ACV differ by platform. Multiply CPL by (1 / close rate) for each channel before comparing.
- Reserve 70% of budget for the platform your motion favors. Split 20% to the other platform for incrementality testing and 10% to emerging formats.
- Re-split quarterly on marginal ROAS, not blended ROAS. The question is where the next dollar earns more, not where the average dollar performs.
Agencies that skip step four are the ones who end up anchored to last year's winner. The failure mode is almost universal.
Where Reporting Still Lies To You
Platform-reported ROAS and CPL are not interchangeable with real pipeline numbers, and both platforms over-attribute to themselves. Three habits catch most of the drift:
- Reconcile platform-reported conversions against CRM-stage conversions monthly. Expect Meta to over-report; expect Google to double-count branded search.
- Separate bot and low-quality click traffic from real users before benchmarking CPC. The bot traffic guide covers the filter stack.
- Measure incrementality with geo-holdouts at least twice a year on both platforms. Platforms that look efficient on last-click often collapse when you turn them off in a test market.
For deeper platform-level control, Advantage+ and Performance Max both benefit from the AI PPC operating model PPC.co uses to keep automation accountable to pipeline, not platform-side metrics.
The Honest Read On 2026 Benchmarks
Google Ads still leads on ROAS in most of the ten verticals above. Meta leads on CPL in most of them. Neither statement is a buy signal on its own. The budget decision reduces to whether your model turns leads into revenue efficiently enough to justify Meta's volume, or whether your margin per transaction requires the intent concentration Google still owns.
Run the split, measure the marginal return, and re-split when the data moves. Platform loyalty is a tax paid in missed pipeline, and the brands that pay it the longest are the ones that treat these benchmarks as destinations instead of starting points.