MODULE 05 · QUALIFIED LEADS, PRICING & ROI

2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Local Consumer Services & Wellness

Use a governed baseline for the B2B edge of local services and wellness, while keeping appointments, household needs, personal care, memberships, and other consumer actions outside the commercial-buyer denominator.

DEFINITION

What is this about?

For SGT-25, the SellersGPT 2026 model reports USD 4.71 advertising CPC, USD 58 lead-action CPA, a 35.9% modeled lead-to-MQL rate, and USD 160 modeled cost per MQL after rounding. The planning band is USD 125 to USD 195, with Medium-High confidence. These country-neutral values are planning references for a mixed category, not observed universal B2B averages, appointment prices, membership costs, service quotes, or a SellersGPT Qualified Lead billing price.

KEY TAKEAWAYS

  1. The canonical 2026 CPC is USD 4.71 per paid click, 7.6% below the USD 5.10 portfolio reference.
  2. The modeled lead-action CPA is USD 58 per captured action and can reflect consumer as well as commercial intent.
  3. USD 58 / 0.359 equals USD 161.56 and rounds to USD 160 per modeled MQL.
  4. A B2B program needs explicit evidence of an employer, property, franchise, operator, or other commercial buying unit.
  5. The USD 125 to USD 195 band is a scenario range, not an appointment, membership, household-service, or product price.

Who this report is for

This report is for teams selling employer, property, franchise, operator, multi-site, or supplier solutions around local services and wellness. It is not for medical lead generation, household-service pricing, personal care outcomes, or consumer membership planning.

Contents

1 Benchmark snapshot 2 What the data says 3 What the benchmark measures 4 Industry demand context 5 CPC and qualification behavior 6 Local Consumer vs Employer/Commercial Buyer Test 7 Illustrative planning scenario 8 How to compare your data 9 Limits 10 FAQ, methodology, related knowledge, and implementation notes

Benchmark snapshot

Metric and unit 2026 value Evidence label Denominator Interpretation Advertising CPC, USD per paid click USD 4.71 pricing_system_value Paid clicks Modeled traffic-cost reference Lead-action CPA, USD per captured action USD 58 sellersgpt_modeled Captured lead actions Upstream action cost Implied click-to-action rate, % of clicks 8.12% derived_calculation Paid clicks CPC / CPA diagnostic Modeled lead-to-MQL rate, % of actions 35.9% sellersgpt_modeled Captured actions Fit-plus-engagement assumption Modeled cost per MQL, USD per MQL USD 160 sellersgpt_modeled Modeled MQLs Rounded planning estimate Planning band, USD per MQL USD 125 to USD 195 sellersgpt_modeled Modeled MQLs Scenario range Confidence Medium-High sellersgpt_modeled Model mapping Consistent broad proxies with B2B relevance limits The CPC index is 92.4 when the USD 5.10 portfolio mean equals 100. That relative position does not establish employer interest, commercial contract value, lead quality, or operational capacity.

What the data says

Google defines average CPC as total click cost divided by paid clicks. Google Ads Help, "Average cost-per-click (Avg. CPC): Definition" Average CPA is total conversion cost divided by configured conversions. Google Ads Help, "Average CPA: Definition" In a local campaign, those conversions may be calls, directions, appointments, quotes, membership trials, downloads, employer enquiries, or franchise forms. The denominator must be named. The row is mathematically consistent. USD 4.71 / USD 58 = 8.12% is the implied click-to-action rate. USD 58 / 0.359 = USD 161.56, rounded to USD 160 under the canonical publication rule. The implied rate is derived rather than independently observed. WordStream/LocaliQ offers current public context across personal services, health and fitness, home services, and related local auctions. WordStream by LocaliQ, "Google Ads Benchmarks 2026: Competitive Data & Insights for Every Industry" Those categories are useful for sensitivity analysis but are not a B2B-only cohort.

What this benchmark measures

The report follows paid clicks, captured actions, and modeled MQLs. It does not measure appointment attendance, treatment, wellness outcome, membership, household job, commercial contract, franchise award, product sale, customer, CAC, or ROI. SellersGPT Qualified Lead pricing is separate from modeled acquisition economics. The actual unit-price fields are null in this report. USD 4.71 is CPC, USD 58 is lead-action CPA, and USD 160 is modeled MQL cost.

Industry demand context

The official category landscape is broad. Census NAICS sector 81 includes repair and maintenance, personal and laundry services, and membership organizations. Within 812, establishments may serve individuals, households, and businesses. U.S. Census Bureau, "NAICS 81 - Other Services" SGT-25 also uses a wellness label, but it does not include clinical healthcare treatment; medical and healthcare activity belongs in its own governed category. The U.S. Census Bureau NAICS program supplies the classification crosswalk only. It does not establish B2B intent, campaign cost, or the commercial relevance of a local operator. BLS describes personal and laundry services as including personal care, death care, laundry and dry cleaning, and other personal services. U.S. Bureau of Labor Statistics, "Personal and Laundry Services: NAICS 812" Some of those services can be sold to employers, properties, institutions, or multi-site operators, while many transactions are local consumer purchases. Business structure matters. Census Nonemployer Statistics provides annual subnational data for businesses with no paid employees, including establishment counts and receipts by industry. U.S. Census Bureau, "Nonemployer Statistics" This source does not measure lead economics, but it cautions against assuming that every local operator has enterprise buying scale or a centralized procurement function.

Why CPC behaves this way

Local service auctions are shaped by radius, proximity, mobile devices, business hours, reviews, urgent needs, and local competition. Wellness, fitness, salon, laundry, repair, pet, home, and membership terms can attract individual buyers. Employer wellness, commercial laundry, multi-site service, property contract, franchise, and operator technology terms may share words but represent different economics. Broad match and automated conversion optimization can favor frequent consumer actions. A B2B program may see a higher effective CPC after narrowing location, role, query, and form, even if the traffic becomes more commercially relevant. The aim is not the lowest blended CPC; it is a valid denominator.

Why CPA and MQL diverge

Common consumer actions include appointments, household quotes, class trials, memberships, personal-care enquiries, local directions, and service support. Other nonbuyer actions include jobs, practitioners seeking employment, vendors, influencers, and current-customer issues. A business email or company name does not prove authority or organizational need. The model applies a 35.9% lead-to-MQL rate. First Page Sage provides adjacent service and channel context, but its agency-client cohort and MQL definition cannot create a universal local-services B2B rule. First Page Sage, "Lead-to-MQL Conversion Rate Benchmarks by Industry & Channel" Relevance must be established at the segment level.

Local Consumer vs Employer/Commercial Buyer Test

Test Consumer or household lane Employer/commercial lane Decision rule Buying entity Individual or household Verified employer, property, operator, institution, or franchise entity Organization must be evidence, not inference Need Personal appointment, membership, local service, or support Workforce, site, tenant, guest, asset, multi-location, or operating need Name the commercial use case Scale One person, household, or isolated event Eligible employees, sites, units, volume, or recurring scope Apply minimum viable scale if approved Authority Self-purchaser Business owner, operator, HR, facilities, procurement, or authorized role Verify role and buying path Routing Consumer commerce or support B2B fit-and-engagement qualification Never score both in one queue If fewer than a meaningful share of actions can pass the commercial lane, do not use this benchmark as the primary B2B comparator. Choose a closer SGT industry or publish the local consumer action economics separately.

Illustrative planning scenario

Assume a fictional mature cohort captures 100 eligible actions at USD 58 each. Attributable media cost = 100 x USD 58 = USD 5,800 Modeled MQLs = 100 x 35.9% = 35.9 Modeled cost per MQL = USD 5,800 / 35.9 = USD 161.56 The published point estimate rounds to USD 160. At the USD 125 band floor, USD 5,800 corresponds to 46.4 modeled MQLs; at the USD 195 ceiling, about 29.7. These are sensitivity equivalents, not predicted outcomes. Suppose the 100 actions include 18 employer or commercial enquiries, 12 franchise or operator enquiries, 49 consumer bookings or quotes, 9 current-customer support contacts, 7 careers or practitioner applications, and 5 Unknowns. Only the first two lanes enter B2B fit assessment. Report consumer economics independently and preserve Unknown. This example claims no appointment, contract, franchise, customer, health outcome, revenue, or billing price.

How to compare your data

Define the commercial segment before extracting spend. Freeze geography, service line, channel, campaign objective, and attribution window. Reconcile paid clicks, deduplicate calls and forms, classify intent, verify entity and role, and wait for the MQL maturation window. Report consumer-action CPA, commercial-intent rate, commercial action-to-MQL rate, and MQL cost as separate measures. Segment employer programs, property services, franchise development, multi-location operator tools, and supplier acquisition when their requirements differ. For local programs, record service radius and actual delivery eligibility rather than assuming all nearby businesses are addressable.

What this does not prove

This benchmark does not prove clinical or wellness effectiveness, appointment attendance, local market size, staffing capacity, service quality, lifetime value, membership retention, franchise economics, contract value, close rate, CAC, or ROI. Country, city, population density, service radius, urgency, season, brand, reviews, mobile share, location count, consumer-versus-B2B mix, and action configuration can materially change results. The band is not a statistical confidence interval or quote.

FAQ

When is this benchmark relevant to B2B? Use it when a defined share of the campaign targets verified employers, properties, operators, institutions, franchise candidates, or commercial buyers with a named organizational need. Is an appointment request an MQL? It may be a valid consumer conversion. It is not a B2B MQL unless the appointment represents an authorized organizational buying process under the approved definition. Should healthcare or clinical leads use this category? No. Clinical healthcare, patient acquisition, medical devices, and life sciences require the separate healthcare category and appropriate safety and privacy controls. Why can confidence be Medium-High if B2B relevance is limited? Confidence describes the consistency of the selected broad proxy mapping. Relevance asks a different question: whether the reader's commercial unit matches the composite. Is USD 160 a local-service price? No. It is a modeled cost per B2B MQL, not an appointment, membership, service, or Qualified Lead price.

Sources and methodology

1 Google Ads Help, "Average cost-per-click (Avg. CPC): Definition" 2 Google Ads Help, "Average CPA: Definition" 3 WordStream by LocaliQ, "Google Ads Benchmarks 2026: Competitive Data & Insights for Every Industry" 4 First Page Sage, "Lead-to-MQL Conversion Rate Benchmarks by Industry & Channel" 5 U.S. Census Bureau, "North American Industry Classification System" 6 U.S. Census Bureau, "NAICS 81 - Other Services" 7 U.S. Bureau of Labor Statistics, "Personal and Laundry Services: NAICS 812" 8 U.S. Census Bureau, "Nonemployer Statistics" How this was modeled SellersGPT normalized public personal-service, wellness, home-service, and MQL proxy families to SGT-25, preserved the pricing-system CPC at USD 4.71, applied the governed USD 58 lead-action CPA and 35.9% MQL rate, calculated USD 161.56, and published USD 160 with a USD 125 to USD 195 scenario band. Consumer-heavy inputs and B2B relevance limits remain explicit.

Sources and Methodology

  1. support.google.com: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Local Consumer Services & Wellness(2026-09-09, accessed 2026-09-09)
  2. support.google.com: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Local Consumer Services & Wellness(2026-09-09, accessed 2026-09-09)
  3. wordstream.com: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Local Consumer Services & Wellness(2026-09-09, accessed 2026-09-09)
  4. census.gov: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Local Consumer Services & Wellness(2026-09-09, accessed 2026-09-09)
  5. census.gov: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Local Consumer Services & Wellness(2026-09-09, accessed 2026-09-09)
  6. bls.gov: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Local Consumer Services & Wellness(2026-09-09, accessed 2026-09-09)
  7. census.gov: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Local Consumer Services & Wellness(2026-09-09, accessed 2026-09-09)
  8. firstpagesage.com: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Local Consumer Services & Wellness(2026-09-09, accessed 2026-09-09)

Methodology

This article separates cited official or first-party facts from SellersGPT calculations, examples, frameworks, and recommendations. Source links and scope are retained from the publication pack.

Limitations

This material supports planning and decision-making. It is not legal, financial, regulatory, or performance advice, and it does not guarantee leads, meetings, customers, revenue, or return on investment.

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