2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Hospitality, Travel & Food Services
Use a transparent acquisition baseline for group sales, corporate travel, venue business, franchise development, contract food, and hospitality suppliers without counting consumer bookings as B2B MQLs.
DEFINITION
What is this about?
For SGT-24, the SellersGPT 2026 model reports USD 3.39 advertising CPC, USD 38 lead-action CPA, a 33.1% modeled lead-to-MQL rate, and USD 115 modeled cost per MQL after rounding. The planning band is USD 90 to USD 140, with Medium-High confidence. These country-neutral values are planning references, not observed universal averages, booking costs, reservation prices, franchise fees, or a SellersGPT Qualified Lead billing price.
KEY TAKEAWAYS
- The canonical 2026 CPC is USD 3.39 per paid click, 33.5% below the USD 5.10 portfolio reference.
- The modeled lead-action CPA is USD 38 per captured action, not per group contract or commercial buyer.
- USD 38 / 0.331 equals USD 114.80 and rounds to USD 115 per modeled MQL.
- Buyer lane, property or service scope, dates, volume, location, authority, and engagement should govern B2B qualification.
- The USD 90 to USD 140 band is a scenario range, not a room rate, reservation cost, catering price, or supplier quote.
Who this report is for
This report is for B2B revenue teams in hospitality, travel, venue, and food-service markets, plus vendors selling into them. It is not a consumer booking, room-rate, ticket-price, restaurant-order, or tourism-demand benchmark.
Contents
1 Benchmark snapshot 2 What the data says 3 What the benchmark measures 4 Industry demand context 5 CPC and qualification behavior 6 Corporate/Group/Supplier vs Consumer Booking Split 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 3.39 pricing_system_value Paid clicks Modeled traffic-cost reference Lead-action CPA, USD per captured action USD 38 sellersgpt_modeled Captured lead actions Upstream action cost Implied click-to-action rate, % of clicks 8.92% derived_calculation Paid clicks CPC / CPA diagnostic Modeled lead-to-MQL rate, % of actions 33.1% sellersgpt_modeled Captured actions Fit-plus-engagement assumption Modeled cost per MQL, USD per MQL USD 115 sellersgpt_modeled Modeled MQLs Rounded planning estimate Planning band, USD per MQL USD 90 to USD 140 sellersgpt_modeled Modeled MQLs Scenario range Confidence Medium-High sellersgpt_modeled Model mapping Direct public ad proxies with B2B limits The CPC index is 66.5 when the USD 5.10 portfolio mean equals 100. It must not be interpreted as a discount on B2B opportunities. Group and supplier traffic may be a small share of a large consumer auction.
What the data says
Google defines average CPC as click cost divided by paid clicks. Google Ads Help, "Average cost-per-click (Avg. CPC): Definition" Google defines average CPA as conversion cost divided by the configured conversion count. Google Ads Help, "Average CPA: Definition" In hospitality, a conversion can mean booking, call, direction request, menu action, loyalty signup, group request, franchise enquiry, or supplier demo. The metric name alone is insufficient. The row is reproducible. USD 3.39 / USD 38 = 8.92% is the implied click-to-action rate. USD 38 / 0.331 = USD 114.80, rounded to USD 115. The implied rate is derived from modeled point estimates and is not an independently observed B2B group-sales rate. WordStream/LocaliQ provides a robust public 2026 search reference for travel and restaurant categories, but much of that auction context is consumer-facing. WordStream by LocaliQ, "Google Ads Benchmarks 2026: Competitive Data & Insights for Every Industry" It helps constrain the upstream model; it cannot directly establish B2B hospitality MQL cost.
What this benchmark measures
This report follows paid clicks, captured actions, and modeled MQLs. It does not measure reservation revenue, occupied room, traveler, diner, event contract, room block, franchise agreement, supplier order, customer, CAC, or ROI. The SellersGPT Qualified Lead product state and price are separate. The exact billing price is intentionally null and must be loaded from the approved pricing system. USD 115 is a modeled acquisition cost per MQL, not a charge for a lead.
Industry demand context
The U.S. Census defines NAICS sector 72 as establishments providing lodging and/or preparing meals, snacks, and beverages for immediate consumption. U.S. Census Bureau, "NAICS 72 - Accommodation and Food Services" SGT-24 adds travel services and B2B supplier routes, so it is not identical to the official sector. The U.S. Census Bureau NAICS program is the official crosswalk reference; its categories do not measure advertising cost, booking demand, or MQL status. The 2022 Economic Census publishes dedicated tables for accommodation and food services. U.S. Census Bureau, "2022 NAICS Sector 72 - Accommodation and Food Services" Establishment and revenue context may help segment accounts, but it does not identify who is shopping for a group contract or supplier. The Bureau of Economic Analysis Travel and Tourism Satellite Account covers traveler accommodations, food and beverage services, travel arrangements, shopping, and related components. U.S. Bureau of Economic Analysis, "U.S. Travel and Tourism Satellite Account for 2018-2023" That macro demand measure does not translate into digital B2B lead cost. It instead shows how many economic activities can sit behind similar travel terms. Account structure adds another layer. A brand, franchisor, management company, property owner, individual hotel, venue, restaurant group, and concession operator may share a public name but control different budgets. The qualification record should identify both the operating location and the entity that owns the decision. Otherwise, a valid local enquiry can be routed to the wrong buying organization or counted twice.
Why CPC behaves this way
Hotel, restaurant, destination, flight, and trip terms have large consumer audiences, dense local competition, aggregators, and strong seasonality. Group, meeting, corporate, franchise, catering contract, property technology, procurement, and supplier queries can be much narrower. Blending them can lower or raise the average without explaining business intent. Location, dates, brand, device, season, and availability change consumer auction behavior. B2B programs are more sensitive to organization type, event size, number of travelers or sites, service territory, contracting horizon, and authority. Separate campaigns, landing pages, and conversion actions before comparing economics.
Why CPA and MQL diverge
Non-B2B actions include reservations, availability checks, menu or order activity, individual cancellations, guest support, loyalty signups, leisure itineraries, job applications, influencer requests, and consumer complaints. A group request can still be a private celebration rather than a corporate event. A supplier form can be a salesperson trying to sell to the hotel. The model applies a 33.1% lead-to-MQL rate. First Page Sage provides channel and industry conversion context, but its MQL definition and client cohort are not a universal rule for hospitality. First Page Sage, "Lead-to-MQL Conversion Rate Benchmarks by Industry & Channel" Qualification must follow the intended commercial lane.
Corporate/Group/Supplier vs Consumer Booking Split
Lane Minimum evidence Exclusion examples Qualification treatment Corporate/group buyer Organization, dates or horizon, volume, location, purpose, role Individual leisure trip or private table booking Score fit, feasibility, authority, and engagement Venue/event buyer Event type, attendees, space/service need, timing Social consumer enquiry below commercial threshold Apply explicit event and account rules Franchise/development Entity, capital/operating role, geography, development interest Job, guest complaint, casual brand fan Separate development ICP and legal gates Supplier/technology buyer Property/operator identity, site count, use case, buyer function Vendor pitching its own service Apply operator/supplier account fit Consumer/guest Reservation, order, stay, travel, support intent Not applicable Route to commerce or service, exclude from B2B MQL Do not infer corporate status from a business email alone. Confirm organization, use case, scale, supported location, and meaningful engagement. Preserve private-event and Unknown lanes when the campaign requires them.
Illustrative planning scenario
Assume a fictional mature cohort captures 100 eligible actions at USD 38 each. Attributable media cost = 100 x USD 38 = USD 3,800 Modeled MQLs = 100 x 33.1% = 33.1 Modeled cost per MQL = USD 3,800 / 33.1 = USD 114.80 The point estimate rounds to USD 115. At the USD 90 band floor, USD 3,800 corresponds to about 42.2 modeled MQLs; at the USD 140 ceiling, about 27.1. These are planning equivalents, not forecasts. Suppose the action set contains 24 corporate or group enquiries, 9 venue-commercial enquiries, 7 supplier or technology requests, 43 consumer bookings, 9 guest-support contacts, 5 jobs, and 3 Unknowns. Apply B2B qualification only to the appropriate lanes. Report consumer conversion economics separately. This example asserts no booking, event, franchise, sale, customer, revenue, or product billing price.
How to compare your data
Choose a mature cohort with stable geography, dates, channel, objective, and conversion configuration. Reconcile spend and clicks; separate reservations, calls, group forms, corporate-travel forms, franchise enquiries, supplier demos, and support. Deduplicate and classify actor and lane before MQL scoring. Within B2B, compare group sales, corporate travel, contract food, franchise, venue, and hospitality-supplier programs separately when possible. Record season, lead time, required location, volume, event or service date, organizational role, and final disposition. A campaign optimized for immediate bookings cannot be benchmarked against a long-horizon venue pipeline without translation.
What this does not prove
The report does not prove tourism demand, occupancy, average daily rate, table turns, booking value, event revenue, food cost, franchise economics, supplier order, close rate, customer value, CAC, or ROI. Seasonality, destination, local competition, brand, property class, capacity, dates, event type, group size, channel, and consumer-versus-B2B mix can materially change actual outcomes. The planning band is not a statistical confidence interval or a service quote.
FAQ
Is a group enquiry automatically an MQL? No. It still needs the right organization or commercial purpose, viable dates and volume, supported location, fit, and meaningful engagement. Can consumer bookings lower B2B CPA? They can lower a blended action CPA while making the number irrelevant to B2B acquisition. Report the consumer and B2B actions separately. Should franchise enquiries share the group-sales funnel? No. Development, capital, legal, and operating criteria make franchise interest a different lifecycle and ICP. Why is the modeled CPC below the portfolio mean? The public proxy family contains large consumer travel and food-service auctions. The difference does not establish low-cost B2B intent. Is USD 115 a booking or lead price? No. It is a modeled cost per B2B MQL under the report's assumptions.
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 72 - Accommodation and Food Services" 7 U.S. Census Bureau, "2022 NAICS Sector 72 - Accommodation and Food Services" 8 U.S. Bureau of Economic Analysis, "U.S. Travel and Tourism Satellite Account for 2018-2023" How this was modeled SellersGPT normalized public travel, restaurant, business-service, and MQL proxy families to SGT-24, preserved the pricing-system CPC at USD 3.39, applied the governed USD 38 lead-action CPA and 33.1% MQL rate, calculated USD 114.80, and published USD 115 with a USD 90 to USD 140 scenario band. Consumer-heavy evidence is retained as a visible limitation.
Sources and Methodology
- support.google.com: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Hospitality, Travel & Food Services
- support.google.com: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Hospitality, Travel & Food Services
- wordstream.com: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Hospitality, Travel & Food Services
- census.gov: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Hospitality, Travel & Food Services
- census.gov: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Hospitality, Travel & Food Services
- census.gov: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Hospitality, Travel & Food Services
- apps.bea.gov: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Hospitality, Travel & Food Services
- firstpagesage.com: 2026 B2B CPC, Lead-Action CPA, and MQL Benchmarks for Hospitality, Travel & Food Services
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.