Stop Selling Rooms.
Start Selling What Happens in Them.
Hospitality and travel is the only industry in this series where the product is the experience itself. You are not selling a hotel room. You are selling the feeling of arriving after a long journey, the spa morning before a big meeting, the dinner table where a relationship deepens, the concert that becomes a story told for years. Yet most hospitality marketing is built around amenities lists, star ratings, and OTA commission spend, none of which create the emotional connection that drives repeat visits and word-of-mouth referrals. Revenue marketing for hospitality replaces this with programs that connect the guest experience to measurable revenue outcomes.
The structural marketing problem in hospitality has three dimensions that are getting worse simultaneously. OTA dependency has turned most hotels into commodity listings where the guest's primary relationship is with Expedia or Booking.com rather than with the property, and where 15 to 25 percent of every booking is paid in commission to a platform that owns the guest data. Loyalty programs have become points accumulation programs with so much dilution and so many transfer partners that they generate no genuine loyalty from guests and no revenue intelligence for the property. And AI search tools are now generating travel recommendations before travelers ever reach an OTA, which means properties that are not visible in AI-generated travel answers are invisible at the first stage of travel research.
Revenue marketing solves all three simultaneously: it builds first-party guest data that reduces OTA dependency, designs loyalty programs around experience recognition rather than points accumulation, and structures property content for AXO so the property appears in AI travel recommendations before a traveler reaches any booking platform.
TPG's RM6 framework gives hospitality and travel companies a maturity model and execution roadmap that sequences the work from direct booking demand generation through guest loyalty, personalization, group sales, and full revenue attribution, calibrated to the unique dynamics of experience-based businesses with perishable inventory and high sensitivity to reputation signals.
A hotel generating $5 million in annual bookings through OTAs at an average 20 percent commission rate is paying $1 million per year to platforms that own the guest relationship and prevent the property from building the first-party data needed to market directly to returning guests. That $1 million in annual OTA commission cost, redirected to direct booking programs, guest loyalty infrastructure, and AXO visibility, would generate a higher return in year two because returning direct-booked guests do not pay commission and spend more on ancillary services than first-time OTA-referred guests.
Revenue streams TPG connects marketing to
Hospitality & travel segments TPG serves
Revenue Marketing Strategy for Hospitality & Travel Companies
How to build a marketing strategy that traces every investment to direct booking revenue, guest lifetime value, and net revenue per available room, not impressions and OTA booking volume.
How do hospitality and travel companies build a revenue marketing strategy that reduces OTA dependency while growing total guest revenue?
Hospitality and travel companies build a revenue marketing strategy that reduces OTA dependency by starting with the guest lifetime value economics and working backward to the program architecture required to achieve them. The math is straightforward: a guest who books direct costs nothing in commission, spends more on ancillary services because they have a direct relationship with the property, and is more likely to return because they have the property's contact details and loyalty program membership. A guest who books through an OTA costs 15 to 25 percent of the room rate in commission, generates no first-party data for the property, and returns through the OTA on the next trip if the property does not have a direct relationship strategy that converts the OTA booking into a direct relationship before checkout.
The strategic starting point is a guest journey audit: map where guests first discover the property, which channels they use to evaluate it, where they make the booking decision, and how many return through direct versus OTA channels on subsequent visits. This audit typically reveals that most properties have high first-visit OTA dependency but strong repeat visit direct booking rates, meaning the conversion opportunity is in the post-first-stay period when the property has the guest's contact details but is not systematically marketing to them between stays. TPG's RM6 diagnostic scores your hospitality marketing maturity across 49 capabilities and produces a prioritized roadmap identifying the specific program gaps causing your OTA commission spend to remain high and your direct booking rate to remain low.
Direct Booking Demand Generation for Hotels & Travel Brands
How to capture travelers at the research stage, convert OTA browsers to direct bookers, and build a direct booking program that systematically reduces commission costs.
How do hotels and travel brands generate direct bookings from travelers who initially discovered them through OTAs or AI search?
Hotels and travel brands generate direct bookings by intercepting travelers at the moments in the research journey where direct booking has the highest conversion probability: the comparison and evaluation stage after initial property discovery. Travelers typically discover a property through OTA search, AI recommendation, social media, or search advertising, then visit the property's own website to validate the property before returning to the OTA to book. This behavioral pattern, where travelers use OTAs as a discovery platform but visit the property website before booking, is the highest-leverage conversion window for direct booking programs. A traveler on the property's website is already interested enough to investigate further, which means converting them from OTA intent to direct booking requires removing the barriers to direct booking rather than building initial awareness.
The three highest-converting direct booking capture programs are best-rate guarantee displays that show travelers the direct booking price advantage at the exact moment they are comparing options on the property website, loyalty program enrollment incentives that offer a meaningful immediate benefit (complimentary upgrade, dining credit, or early check-in) in exchange for joining and booking direct, and remarketing programs that recapture travelers who visited the property website but returned to an OTA to complete the booking, using email and display advertising to bring them back to the direct channel with a compelling reason to switch.
TPG builds direct booking demand generation programs for hospitality and travel companies that systematically convert OTA-discovered travelers to direct bookers, connecting every program to the reduction in commission cost and increase in direct booking revenue it generates.
Guest Loyalty & Lifecycle Marketing
How to build guest loyalty programs that generate real repeat revenue rather than points accumulation, and lifecycle marketing that maintains the relationship between stays.
How do hospitality and travel companies build guest loyalty programs that drive measurable repeat revenue instead of points redemption activity?
Hospitality and travel companies build loyalty programs that drive repeat revenue by designing them around experience recognition rather than points accumulation. The distinction is fundamental: points programs reward transaction volume with a currency that guests redeem for discounted future transactions, which trains guests to think of loyalty as a discount program rather than a relationship. Experience recognition programs reward relationship depth with personalized service, anticipatory preference matching, and genuine recognition that demonstrates the property remembers and values the individual guest, which is worth far more than points redeemable for commodity rewards and is far more likely to generate the emotional connection that produces repeat visits and referrals.
The guest lifecycle marketing architecture that supports this has three stages. Pre-arrival communications between booking and check-in use the guest's stated preferences, historical stay data, and property calendar to build anticipation and offer relevant upgrades and experience packages at the moment when the guest is most emotionally engaged with the upcoming visit. On-property personalization uses CRM data to deliver recognition moments at check-in, room customization that reflects known preferences, and proactive service offers that demonstrate the property knows the guest. Post-stay reactivation uses behavioral data from the completed stay to personalize the next stay offer, timing follow-up communications to match the guest's typical rebooking window and offering the specific type of experience that generated the highest satisfaction signals during the last visit. Miami Heat used this lifecycle approach with TPG to achieve a 15 percent increase in season ticket renewals and a 30 percent improvement in email open rates by personalizing fan outreach based on actual engagement patterns.
TPG builds guest loyalty and lifecycle marketing systems for hospitality companies that connect PMS guest profile data to marketing automation platforms, producing personalized communications at each stage of the guest relationship that are demonstrably more relevant than broadcast campaigns and measurably more effective at generating repeat bookings.
MarTech for Hotels, Resorts & Travel Brands
How to connect property management systems, guest CRM, and marketing automation into a unified guest intelligence platform that powers personalization and direct booking programs.
How do hotels and travel brands build a marketing technology stack that connects PMS guest data to marketing automation without creating data silos between reservations and marketing?
Hospitality MarTech works in three layers that most properties have never fully connected. The property management and reservations layer, most commonly Oracle Hospitality OPERA or similar PMS systems, is the operational system of record for all stay history, room preferences, service requests, spending patterns, and guest profile data. The guest CRM and loyalty layer manages guest relationship data, loyalty program management, and personalization infrastructure, with purpose-built hospitality CRM platforms like Revinate operating alongside or integrated with broader Salesforce CRM deployments at larger chains. The marketing automation and demand generation layer manages email marketing, behavioral scoring, direct booking campaigns, group sales programs, and multi-channel campaign execution.
The integration challenge that most hospitality marketing teams have not solved is connecting PMS stay data to marketing automation behavioral scoring, so that a guest who has stayed four times in the past two years and consistently upgrades to ocean view rooms receives pre-arrival communications that offer ocean view upgrades at the optimal price point and timing, rather than receiving the same generic upgrade email that goes to all guests regardless of their history. This integration requires a data governance agreement about which system owns which guest attributes, a regular sync architecture that keeps marketing automation profiles current with PMS stay data, and a personalization model that translates stay history signals into marketing personalization rules. TPG builds this integration architecture for hospitality companies across every combination of PMS, CRM, and marketing automation platform.
AI & Personalization for Guest Experience Marketing
How to use AI for predictive next-stay modeling, churn prevention, review intelligence, and experience personalization that improves repeat booking rates without scaling headcount.
How do hospitality and travel companies use AI to improve guest retention, ancillary revenue, and personalization at scale?
Hospitality and travel companies use AI most effectively for five specific applications tied to the revenue drivers that matter most in experience-based businesses. Predictive next-stay modeling analyzes a guest's historical stay pattern, seasonal preference signals, and competitive travel behavior to predict when the guest is likely to book their next stay and what type of experience they are likely to seek, enabling pre-emptive outreach with a relevant offer before the guest begins browsing competitors or OTA platforms. Lapse and churn prediction identifies guests whose booking frequency has declined relative to their historical pattern, triggering win-back programs calibrated to the specific guest's preference profile and the property's current inventory availability. Dynamic pre-arrival personalization matches room upgrade offers, dining reservation recommendations, and experience package suggestions to individual guest profiles in real time, automating the anticipatory service that previously required a dedicated concierge relationship for a small percentage of guests. AI-powered review intelligence synthesizes guest feedback across TripAdvisor, Google, OTA review platforms, and post-stay surveys to identify the specific service moments and property attributes that correlate with repeat bookings versus one-time visits, informing both marketing messaging and operational priorities. And AXO structures property content for AI search visibility, ensuring the property appears when travelers ask AI assistants for recommendations before any search or OTA query is made. TPG's R.A.I.N. framework applies all five AI capabilities to hospitality companies, integrating with PMS, CRM, and marketing automation to generate predictions grounded in actual guest behavior.
Marketing Operations for Hospitality Revenue
How to build the data infrastructure that connects reservations, marketing, F&B, and loyalty into a unified guest revenue picture.
How do hospitality companies align marketing, reservations, F&B, and loyalty programs around a single source of truth for guest revenue?
Hospitality marketing operations require connecting four data sources that most properties operate in silos: the property management system that holds stay history and room revenue, the marketing automation platform that holds campaign engagement and behavioral scoring data, the F&B and activity management systems that hold ancillary spend data, and the loyalty program that holds membership status and redemption history. When these four systems are not connected, the marketing team cannot calculate true guest lifetime value, the reservations team cannot identify which marketing channels produce the highest-lifetime-value guests, and the loyalty team cannot design incentives calibrated to the specific behaviors that generate incremental revenue rather than incremental point redemptions.
The integration architecture that solves this is a unified guest record that aggregates data from all four systems into a single guest profile, with attribution rules that trace each revenue component back to the marketing program or channel that initiated or influenced the guest relationship at each stage. Most hospitality companies have attempted this integration and failed because they started with the technology architecture rather than the data governance agreement. Before any integration work begins, marketing, reservations, F&B, and loyalty leadership must agree on the guest identity resolution methodology (how to match the same guest across multiple booking profiles and system IDs), the revenue attribution model (which touchpoints get credit for which revenue events), and the data quality standards required for each source system. TPG builds hospitality marketing operations systems that start with governance and work through integration, producing the unified guest revenue picture that enables the personalization, loyalty, and direct booking programs that depend on it.
Group Sales & Corporate Travel Marketing
How to build ABM programs that target the right meeting planners, corporate travel managers, and event buyers with the right content at the right evaluation stage.
How do hotels and event venues build systematic group sales and corporate travel marketing programs that generate qualified RFP volume?
Hotels and event venues build systematic group sales and corporate travel marketing programs by treating them as account-based marketing programs rather than broadcast advertising campaigns. Group and corporate travel buyers are professional evaluators, not leisure travelers, and they require a fundamentally different marketing approach. Corporate travel managers evaluating hotel rate agreements are procurement professionals who want rate compliance data, reporting capabilities, amenity standards documentation, and evidence of strong service delivery for business travelers, not leisure-oriented brand imagery. Meeting planners evaluating conference and event space have a buying committee: the event planner who owns logistics, the budget approver who controls spend, and senior leadership who approves the final venue. Each stakeholder needs different content at different stages of the evaluation process.
The ABM architecture for hospitality group sales identifies target accounts based on signals that indicate active need for group or corporate travel services: conference announcements, corporate relocation or expansion news, company headcount growth in the property's target geography, and RFP platform activity that indicates upcoming meeting or event procurement. Once target accounts are identified, coordinated outreach to each stakeholder in the buying committee provides technical capacity and logistics information for the event planner, ROI and cost comparison data for the budget approver, and executive testimonials and brand positioning for senior leadership approval. TD Garden used a multi-channel approach combining digital campaigns, personalized outreach, and a Golden Ticket social and SMS program with TPG to achieve a 30 percent increase in ticket sales, 22 percent higher renewals, and 35 percent social media engagement growth. TPG builds group sales and corporate travel ABM programs that generate qualified RFP volume from target accounts, with content and sales enablement tools calibrated to each stakeholder in the hospitality buying committee.
Content Strategy for Travel & Hospitality Brands
How to produce content that answers the questions travelers ask when evaluating destinations and properties, in the formats that earn AI citations and direct booking conversions.
How do hotels and travel brands create content that drives direct booking conversions and earns AI search visibility simultaneously?
Hotels and travel brands create content that drives direct booking conversions and earns AI search visibility by building it around the specific questions travelers ask at each stage of the travel decision journey rather than around the property attributes the marketing team wants to promote. Travelers in the destination selection stage ask broad questions about what makes a location worth visiting and what types of experiences are available. Travelers in the property evaluation stage ask specific questions about room types, amenities, accessibility, pet policies, dining options, and what distinguishes this property from the alternatives at similar price points in the same location. Travelers in the booking decision stage ask about cancellation policies, loyalty program benefits, direct booking advantages, and what the arrival experience will feel like. Content built around the marketing team's preferred messaging rather than these stage-specific traveler questions generates website visits without generating bookings, because it is answering questions no traveler was asking.
Vacation rental management companies and alternative lodging operators face a distinct content challenge. Unlike traditional hotels, they do not have an OTA dependency problem to solve , they are OTA-native businesses built on Airbnb and Vrbo distribution. Their content challenge is the inverse: as AI search tools increasingly recommend short-term rentals, glamping properties, and experience-based accommodation to travelers who previously defaulted to hotel search, vacation rental operators need AEO-structured content that positions their specific properties for AI citation when travelers ask for alternatives to traditional hotels. When a traveler asks ChatGPT "what are the best treehouse rental experiences in the Pacific Northwest that are pet-friendly and close to hiking trails," the AI answer determines which operators appear, and it rewards operators with structured, attribute-rich property descriptions over those with generic listing copy.
The additional urgency for all hospitality segments: travelers increasingly ask these questions to AI assistants rather than OTA platforms or search engines. Properties whose content includes specific, structured answers to attribute-level queries with verifiable data points appear in AI-generated travel recommendations. Properties whose content is optimized for traditional SEO with generic destination keyword phrases do not. TPG builds travel and hospitality content strategies that address both human search behavior and AI search behavior, with AEO-structured content that earns citations in AI travel recommendations and converts direct bookings from travelers who find the property through any channel.
AXO: AI Visibility for Hotels, Destinations & Travel Brands
How to ensure your property appears when travelers ask AI for destination recommendations, hotel comparisons, and experience suggestions before they ever reach an OTA.
How do hotels and travel brands get recommended by AI systems when travelers research destinations and properties?
Hotels and travel brands appear in AI-generated travel recommendations by structuring their property attributes, experience descriptions, and guest outcome data in the formats that AI systems can extract, trust, and cite when answering traveler queries. This is now the most important top-of-funnel visibility challenge in hospitality, because the traveler behavior shift from OTA-first research to AI-first research is happening faster than most hospitality marketing teams have recognized. When a leisure traveler asks ChatGPT "what are the best hotels near the French Quarter in New Orleans that have rooftop pools and allow late checkout for anniversary trips," a family asks Perplexity "which all-inclusive resorts in the Maldives have overwater bungalows under $1,200 per night with diving packages," or a corporate travel manager asks Claude "which hotels within walking distance of the Chicago convention center have compliant rates under $250 and can accommodate groups of 40 with breakout meeting space," the AI answers determine which properties enter the consideration set before any OTA search, any paid advertising, or any branded content reaches the buyer.
For independent hotels and boutique resorts without the budget to dominate OTA paid placement, AXO is the highest-leverage visibility investment available. AI systems do not rank by advertising budget. They rank by the specificity and trustworthiness of property attribute data, the quality of guest experience descriptions, and the depth of structured content that can answer the traveler's specific query. A boutique resort with a remarkable spa and a specific guest experience story can appear before a Marriott property in AI travel recommendations if its spa data, guest review signals, and experience content are structured for AI citation. A Marriott property with generic marketing copy that answers no specific traveler question will not appear regardless of its brand recognition and OTA presence. TPG's AXO Diagnostic scores your property's current AI visibility across ChatGPT, Perplexity, Gemini, and Claude for the specific traveler queries that matter most to your booking goals, identifies the content architecture gaps, and delivers a prioritized 90-day AEO roadmap for each property type and guest segment.
Measuring Revenue Marketing ROI in Hospitality & Travel
How to trace every marketing investment to direct booking revenue, guest lifetime value, and net revenue per available room, and allocate budget toward programs with the highest revenue-per-guest return.
How do hospitality and travel companies prove revenue marketing ROI and allocate budget toward programs that maximize direct booking revenue and guest lifetime value?
Hospitality and travel companies prove revenue marketing ROI by building attribution models that trace enrolled guests back to the specific marketing channels and programs that converted them from OTA visitors to direct bookers, and then calculate the lifetime value difference between a direct-acquired guest and an OTA-acquired guest at each stage of the relationship. The financial argument for hospitality revenue marketing is uniquely compelling because the economics of guest lifetime value make the ROI case more powerful over time rather than less: a guest converted from OTA to direct channel in year one generates zero commission savings in year one but full commission savings on every subsequent direct booking, meaning the ROI of a direct booking conversion program improves every year as the converted guest continues to book direct.
The six metrics that provide a complete hospitality revenue marketing ROI picture are: direct booking conversion rate by channel (what percentage of travelers who found the property through each channel completed a direct booking), direct booking revenue as a percentage of total room revenue (the primary OTA dependency metric), average revenue per guest night by acquisition channel (direct vs. OTA vs. loyalty vs. group), loyalty program enrollment rate and direct booking rate among loyalty members versus non-members, repeat visit rate by guest cohort and original acquisition channel, and lifetime revenue per guest compared to lifetime marketing cost per guest by segment. Most properties track average daily rate and OccPAR but have poor visibility into acquisition channel lifetime value differences. Building the attribution infrastructure requires connecting PMS booking source data with marketing analytics and loyalty membership data, which TPG builds for hospitality companies as a foundational infrastructure project before layering direct booking and loyalty programs on top of it. TPG's revenue attribution systems for hospitality produce the full guest lifetime value picture that enables marketing budget decisions based on long-term revenue per guest rather than short-term cost per booking.
Guest Experience Organizations That Turned Engagement Into Revenue
TPG's guest experience and entertainment venue clients use the same marketing architecture as hospitality companies: CRM integration, ticketing and reservations system connectivity, behavioral personalization, and multi-channel guest lifecycle programs that drive repeat attendance, higher spend per visit, and measurable revenue growth.
More from TPG's entertainment & venue portfolio
Revenue Marketing for Hospitality & Travel: Common Questions
What is revenue marketing for hospitality and travel companies?
Revenue marketing for hospitality and travel companies is the discipline of connecting every marketing investment to measurable revenue outcomes: direct booking revenue, revenue per available room, guest lifetime value, and loyalty program revenue. It replaces brand awareness campaigns and OTA-dependent acquisition with systematic direct marketing programs, guest lifecycle automation, and personalization that converts first-time guests into repeat guests.
The core economic argument: a guest converted from OTA to direct channel saves 15 to 25 percent in commission on every subsequent direct booking, spends more on ancillary services because they have a direct relationship with the property, and is more likely to refer others who also book direct. The ROI of a direct booking conversion program improves every year as converted guests continue to book direct. TPG's RM6 framework operationalizes this across six pillars calibrated to experience-based hospitality businesses.
How do hotels and resorts reduce OTA dependency and increase direct bookings?
Hotels and resorts reduce OTA dependency by building four systematic programs: a direct booking capture program using best-rate guarantees, loyalty program exclusive rates, and direct-only packages; a guest data capture architecture that converts OTA-referred browsers into identified loyalty members; a remarketing program that recaptures OTA browsers before they complete the OTA booking; and AXO visibility that ensures the property appears in AI travel recommendations before travelers reach an OTA.
The math is straightforward: a hotel paying $1 million annually in OTA commission that redirects even a quarter of that toward direct booking programs, guest loyalty infrastructure, and AXO visibility generates a higher return because every converted guest books direct with zero commission on all future stays. TPG builds all four program types and connects them to a direct booking revenue attribution model.
How do hospitality companies build guest loyalty programs that generate repeat revenue?
Hospitality companies build loyalty programs that generate repeat revenue by designing around experience recognition rather than points accumulation. Points programs train guests to think of loyalty as a discount mechanism. Experience recognition programs reward relationship depth with personalized service and anticipatory preference matching that creates the emotional connection that generates repeat visits and referrals. The three-stage guest lifecycle architecture covers pre-arrival communications that build anticipation with relevant upgrades and experience packages, on-property personalization that delivers recognition moments calibrated to the individual guest's history, and post-stay reactivation that offers the specific type of return experience that generated the highest satisfaction signals during the last visit.
Miami Heat achieved 15 percent higher season ticket renewals and 30 percent improved email open rates with TPG by personalizing fan outreach based on actual engagement patterns rather than demographic assumptions. The same lifecycle architecture applies directly to hotel and resort guest relationships.
What MarTech platforms do hotels and travel brands use for revenue marketing?
The hospitality MarTech stack involves three layers. The property management and reservations layer (Oracle Hospitality OPERA or similar PMS) is the system of record for all guest stay data. The guest CRM layer manages loyalty program and personalization data, with purpose-built platforms like Revinate or Salesforce. The marketing automation layer handles email, behavioral scoring, and campaign execution, with Salesforce Marketing Cloud for large chains, HubSpot for boutique and independent properties, and Marketo for mid-to-large brands with complex program requirements.
The critical integration challenge is connecting PMS stay history to marketing automation scoring so guests receive personalized communications that reflect their actual history rather than generic segments. TPG builds this integration architecture for hospitality companies across every combination of PMS, CRM, and marketing automation platform, starting with data governance before technology implementation.
How do hospitality and travel companies use AI to improve marketing performance?
Hospitality and travel companies use AI most effectively for predictive next-stay modeling (predicting when a guest will book their next stay before they start browsing competitors), lapse and churn prediction (identifying declining booking frequency before the guest lapses), dynamic pre-arrival personalization (matching upgrade offers and experience packages to individual guest profiles in real time), AI-powered review intelligence (identifying which specific service moments drive repeat bookings versus one-time stays), and AXO (ensuring the property appears in AI-generated travel recommendations).
TPG's R.A.I.N. framework applies all five AI capabilities to hospitality companies, integrating with PMS, CRM, and marketing automation systems to generate predictions from actual guest behavior rather than generic hospitality industry models.
How do hotels build group sales and corporate travel marketing programs?
Hotels build group sales and corporate travel marketing programs as account-based marketing rather than broadcast advertising. Corporate travel buyers are procurement professionals who need rate compliance data and reporting capabilities, not leisure brand imagery. Meeting planners evaluating event space have a buying committee: the event planner who owns logistics, the budget approver who controls spend, and senior leadership who approves the venue. ABM targets specific accounts based on conference announcements, corporate expansion signals, and RFP platform activity, then delivers persona-specific content to each buying committee stakeholder simultaneously.
TD Garden used a multi-channel program with TPG including Eloqua, CRM integration, and a Golden Ticket social and SMS campaign to achieve 30 percent higher ticket sales, 22 percent better renewals, and 35 percent social engagement growth. TPG builds group sales ABM programs that generate qualified RFP volume from targeted accounts.
How do hotels and resorts measure revenue marketing ROI?
Hotels and resorts measure revenue marketing ROI through six metrics: direct booking conversion rate by channel, direct booking revenue as a percentage of total room revenue, average revenue per guest night by acquisition channel, loyalty program enrollment rate and direct booking rate among members versus non-members, repeat visit rate by acquisition channel, and lifetime revenue per guest compared to lifetime marketing cost per guest. Most properties track OccPAR and ADR but have poor visibility into acquisition channel lifetime value differences.
Building full attribution requires connecting PMS booking source data with marketing analytics and loyalty data. TPG builds this as a foundational infrastructure project, producing the guest lifetime value picture that enables budget decisions based on long-term revenue per guest rather than short-term cost per booking.
What is AXO and why do hotels and travel brands need it?
AXO stands for AI Experience Optimization, and it is TPG's methodology for ensuring hotels, resorts, and travel destinations appear when travelers ask AI assistants for recommendations. When a leisure traveler asks ChatGPT which boutique hotels near the French Quarter have rooftop pools for anniversary trips, a family asks Perplexity which all-inclusive Maldives resorts have overwater bungalows with diving packages under $1,200, or a corporate travel manager asks Claude which hotels near a convention center have compliant rates under $250 with group meeting space, the AI answer determines which properties enter the consideration set before any OTA search or paid advertising reaches the buyer.
For independent hotels and boutique resorts, AXO is the highest-leverage visibility investment available because AI systems rank by the specificity and trustworthiness of property attribute data, not by advertising budget. A boutique resort with genuine attribute depth and structured experience content can appear in AI recommendations before branded chains with generic marketing copy. TPG's AXO Diagnostic scores your visibility across four major AI platforms and delivers a 90-day roadmap by property type and guest segment.
Stop Selling Rooms. Start Selling What Happens in Them.
TPG has built revenue marketing systems for hospitality and entertainment companies that convert OTA-dependent transaction businesses into direct booking, guest loyalty, and lifetime value revenue engines. Miami Heat: +25% ticket sales. TD Garden: +30% ticket sales. Warriors: +30% ticket sales. 19 years of practice. One guarantee: results or you don't pay.
Satisfaction guaranteed: redo or no charge.