The Lights On Podcast

Kin Sio

The Lights On Podcast features conversations with hospitality leaders about the commercial strategies that drive hotel performance and growth.

  1. 2d ago

    A Good Hotel Is Not a Full Hotel With Jan Freitag

    Jan Freitag is the National Director of Hospitality Analytics at CoStar Group, a global leader in commercial real estate information, analytics, and online marketplaces. He is a recognized hospitality data expert and works with CoStar's STR platform, whose benchmarking reports are widely used by hotel owners, operators, and investors to measure performance. Jan is a sought-after speaker and is frequently quoted by outlets including The Wall Street Journal, The New York Times, Bloomberg, and Forbes. He holds a bachelor's degree from Cornell University's School of Hotel Administration and an executive MBA from Vanderbilt University. In this episode… Is a full hotel a good hotel? Not necessarily. Jan Freitag, National Director of Hospitality Market Analytics at CoStar Group, argues that a good hotel is a profitable hotel. Selling another room means another room to clean, staff, and maintain, while raising a $100 room to $110 turns that extra $10 into almost pure profit. Kin Sio sits down with Jan on The Lights On Podcast to break down how hotel owners can read STR data, benchmark against a comp set, and use forward-looking numbers to price with more confidence. Jan starts with the basics, which he sums up as: we collect three numbers and we make three numbers. Hotels report supply (rooms available), demand (rooms sold), and rooms revenue for every day. STR turns those into occupancy, ADR, and RevPAR, and occupancy times ADR equals RevPAR. His advice for a new owner is to start with RevPAR against the same time last year, then work out whether the change came from occupancy or rate. The data gets really actionable once a comp set is added: if your RevPAR went up 4% and your competitors' went up 7%, you now have a question worth digging into. That is the conversation Jan says happens every Wednesday morning at 10 a.m. at nearly every branded hotel in America, with the revenue manager, head of marketing, GM, and maybe the head of front office in the room. The occupancy trap is common among owners who come to hotels from residential real estate, where the goal is always to minimize vacancy. Kin points out that running at 90% plus brings more labor and wear on the property, while managing occupancy closer to 80 or 85% may let you charge a higher rate and make the same RevPAR with less work, if the property is worth it. Jan adds that some GMs deliberately target 73% to 75% occupancy, because that is where they can deliver the best guest experience, with short lines at the front desk and the buffet, and charge a little more. From there the conversation moves from top line to bottom line. With inflation running higher for longer and room rate growth often below CPI, Jan says operators are focused on the middle of the P&L. CoStar is now asking hotels for their full P&L, following USALI (the Uniform System of Accounts for the Lodging Industry), so owners can benchmark against their market and eventually their competitors. Participation is never really a trust issue, he says, after nearly 40 years (since 1988) of keeping data confidential. The holdup, in Jan's experience, is whether a hotel's own systems can extract the data. The last stretch covers how to use backward-looking data to plan ahead. Jan's colleague Isaac compares each year to one where the calendar lines up almost exactly (everything but the Jewish holidays), and 2015 is the comp year for 2026. CoStar's Forward STAR collects occupancy on the books up to 365 days out, and Jan says the 90, 60, and 30 day windows are the useful ones, especially compared with where you stood at the same point last year. For hotels without obvious neighbors, he suggests asking guests where they would be if they were not staying with you, then building a comp set around the customer's view rather than a map. He closes with a soccer metaphor from the World Cup: one or two stars up front score the goals, but the whole team has to move together, and the GM is the coach who makes that happen.

  2. Sep 24

    The #1 Revenue Mistake Hotels Make Every Single Day With Brian Reising

    Brian Reising is the Market Vice President for the US and Latin America at SiteMinder, the world's leading hotel commerce platform that helps hotels reach more guests, manage booking channels, and optimize revenue. SiteMinder serves 56,000 hotels across 150 countries, connects properties to more than 450 distribution channels, and facilitates around 140 million reservations annually. Brian helps hoteliers navigate changing traveler demand and increasingly complex distribution strategies. He brings a unique perspective to hospitality, having transitioned into the industry after a career in manufacturing and healthcare technology. In this episode… What is the most expensive revenue mistake a hotel can make? Leaving rates untouched. That is the answer Brian Reising, Market Vice President for the US and Latin America at SiteMinder, gave host Kin Sio on The Lights On Podcast. Moving a rate up or down by $5, $10, or $20 as occupancy and local events shift is, in Brian's words, the difference between a successful year with an increase in revenue and a standard year with no increase. Brian came into hospitality from the outside, after early years in engineering and a stretch in healthcare technology. What he found was a tech landscape far more fragmented than he expected, with early adopters gluing systems together to get a full ecosystem. He also found that nothing about a hotel is standard. Bring in an operator from another industry, he says, and they assume hotels are cookie cutter. They are not. Every property sits in a different market with a different hook, a different distribution mix, and a different tech stack, which is why there is no single right answer to how a hotel should sell its rooms. The practical version of that problem shows up in channel management. Brian says running four OTA connections by hand fails on two fronts. One is time, and independent hoteliers, as he puts it, are some of the busiest people he has ever spoken to in any line of work. The other is information: with no insight into competitor rates or your own performance by channel, pricing is at best a guess. SiteMinder's answer is one dashboard for rates across every connected channel with competitor and channel performance data attached, plus Channels Plus, which sets up and manages the OTA connections and handles the payments. Brian notes that hotels on SiteMinder Pay can be paid in about three days rather than waiting the usual 30 for an OTA to remit. On direct versus OTA, Brian does not pick a side. Most hotels need a mix. A good website and booking engine only takes you so far, because the OTAs are where most travelers still start looking, and ignoring either side leaves money behind. He talks to operators who use Booking.com as their booking engine and nothing else, and who miss the repeat guest revenue that comes from bringing those travelers back direct. On rate parity his advice is blunt: know what you are signing before you sign it. Legacy OTA contracts often made parity a requirement, some hotels now refuse to sign it, and where parity stays, you differentiate on value instead of price with free breakfast, late checkout, a larger room, or adjoining rooms. Kin adds the billboard effect on top: travelers who discover a hotel on an OTA will often check the hotel's own site before booking, which is exactly where those direct perks earn their keep. The blind spot Brian sees most in SiteMinder's data has nothing to do with price. It is guest origin. In one study, a small cohort of hotels was pulling a lot of guests from Brazil. Widen the view and other properties inside that same comp set were getting none, because of the specific channels they were using. He is careful to say other factors were probably involved too, but those hotels simply were not visible to travelers in Brazil, and an entire source market went to someone else. Knowing where guests come from, and then knowing how to keep them, is the piece he says most hoteliers have no visibility into. SiteMinder's newest product, Dynamic Revenue Plus, is built on three pillars: the events coming to your area, what your comp set is charging, and the rate setting itself, either as suggestions you approve or as changes the system makes for you. Brian's caution is about expectations. The AI needs time with your pricing style and the events in your area before its recommendations are worth acting on. Until it has that data set, in his words, "we're not any better than guessing." That is where adoption usually breaks. Kin's version of the same point: software you buy and never drive is a Lamborghini parked in the garage. Brian's rule is simple. The more involved you are in the technology, the more successful you are going to be with it, which means asking questions and using the onboarding and maximization sessions rather than buying a product, ignoring it, and concluding it was not right for you. Kin's addition is to settle ownership before you buy: decide who on the team will operate the tool, and hold that person accountable for learning it, because it is unlikely to be the owner with 17 other things on the daily list. Looking ahead, Brian expects AI assistants to keep reshaping discovery. He did not have a figure to hand, but says the share of bookings coming directly from AI search engines like ChatGPT and Claude is increasing, and that SiteMinder has already connected to MCP, the route into ChatGPT. Guests are describing the exact trip they want instead of typing best hotel in Waikiki, which Kin argues is an opening for smaller properties. AI pulls from OTA listings, Reddit threads, social posts, and LinkedIn, not only your website, and it returns two or three recommendations instead of ten blue links. Being present in more places is now the difference between making that short list and being left off it.

  3. Sep 17

    Your Group Inquiries Don't Need a Salesperson, They Need an Answer With Mina Singson-Brightman

    Mina Singson-Brightman is the Co-founder and CEO of HotelBlock.ai, an AI-powered platform helping hotels respond to group inquiries faster, automate repetitive sales tasks, and convert more group business. HotelBlock.ai was selected for Plug and Play's Travel & Hospitality Batch 21, building on Mina's experience with 40hammocks, which participated in the Techstars Atlanta program in 2024. Before launching HotelBlock.ai, Mina built 40hammocks and ran destination event planning businesses in Hawaii, bringing hands-on hospitality and events expertise to her technology ventures. In this episode… A group inquiry is worth the most in the hour it arrives. Hotels lose that business because a lean sales team cannot get to the inbox, not because the rate was wrong. The fix is to automate lead intake, qualification, proposal drafting, and follow-up so an answer goes out in seconds, which leaves the salesperson free to do the relationship work that actually closes. Kin Sio sits down with Mina Singson-Brightman, Co-founder and CEO of HotelBlock.ai, on The Lights On Podcast to walk through how that works. Mina did not plan a career in hospitality. She came to the US from the Philippines, studied at the University of Southern California, and worked as a business broker buying and selling businesses in LA. When she and her husband moved to Hawaii she came across a destination events company and bought into it, which is how she landed in the events industry. She describes the whole path as serendipity, one step leading to the next. Running that business for close to a decade, she heard the same request over and over. Groups coming to Hawaii for a wedding or a retreat needed 20 rooms, or 50, did not know the market, and asked her to connect them with hotels. Event coordinators are not travel agents, so the honest answer was a few suggestions and a recommendation to do their own research. The gap was obvious enough that she built 40hammocks, a mobile app connecting group travelers directly to hotels, while still running the events company so she could test it on live customers. The idea was conceptualized during COVID, when Hawaii's restrictions were strict enough to ticket people for coming within 10 feet of each other and the events industry stopped. Rather than wait it out, she went back to the problems she had been hearing and started building. Crisis awakens creativity, as she puts it. The pivot came from a complaint that turned out to be misdirected. App users compared the experience to booking a normal hotel room online, where pricing appears instantly, and blamed the app when quotes took days. It was not the app. HotelBlock was waiting on hotels, who had to confirm availability for 20 rooms before they could price anything. When Mina went back to her hotel partners and asked what would make the process faster, she found the real bottleneck sitting inside the property. One sales manager told her at three in the afternoon that she had not opened her email that day, having been in trainings, meetings, and phone calls, while two leads sat waiting. Smaller hotels feel this more sharply than convention properties, because one or two salespeople absorb every task. That discovery turned a consumer marketplace into a hotel-side product, and HotelBlock.ai evolved out of 40hammocks. What the platform does is map the group sales journey and remove the manual steps. Inquiries from a hotel's website or email are ingested and organized into a pipeline with no retyping into a CRM. The system qualifies each lead against the property's own parameters, minimum nights and minimum rooms, and when a lead qualifies it drafts the proposal automatically. Teams can review before sending or let it go out untouched, and follow-ups continue on their own until the prospect replies. Because it is cloud-based, one customer pulled up a drafted proposal on a phone during a live sales meeting and presented it on the spot instead of promising to get back to the planner the next day. Mina is firm that none of this is about headcount. Hospitality runs on relationships, and a salesperson who can turn a proposal around instantly is a salesperson who should be out having lunch with meeting planners rather than sitting at a computer. Against Cvent and Delphi she does not argue features, she argues that those are enterprise products priced and scoped beyond many independents, while HotelBlock aims to be running the same day rather than after days of training. For operators who have never worked groups deliberately, Mina's starting argument is that the room block is the smaller half of the opportunity. She cites a study putting group business at up to 50% more revenue for hotels, not from rooms but from ancillary services, on the logic that a block of guests fills the restaurant and the spa. Group demand is also steadier than transient. Weddings and reunions are booked far in advance and rarely cancel, and her own evidence is COVID: she expected the events business to be wiped out and kept 80% of it, because people held on and gathered later. Kin frames that against what Lights On sees in revenue mix, where independent properties lean heavily on transient OTA business and booking windows in Hawaii have compressed from the classic 45 to 60 days to something far harder to forecast. Group business booked months out is what makes the remaining inventory a pricing decision instead of a scramble.

  4. Sep 10

    The Only Real Estate Whose Value Changes Every Morning With Neil Shah

    Neil Shah is the President and Founder of Inntech Management, a hotel ownership and management company operating 10 properties across Arizona and California. With more than 25 years of hospitality experience, he has grown his portfolio through strategic acquisitions, operational improvements, and property repositioning. Neil is also the Founder of InnTrend AI, a hotel intelligence platform that streamlines portfolio reporting and highlights performance trends. His hands-on operating experience and entrepreneurial mindset shape his approach to driving hotel revenue, guest experience, and long-term asset value.  In this episode… Most real estate changes value on a market cycle. A hotel can change value on a Tuesday. Neil Shah has built a career inside that difference, which is why he describes hotels as one of the only real estate assets where the value of the property can change based on the decisions you make every morning. In this episode of The Lights On Podcast, host Kin Sio talks with Neil Shah, President and Founder of Inntech Management, about growing from a single Best Western to a portfolio of 10 hotels across Arizona and California, and how operational repositioning, disciplined refinancing, and daily portfolio data compound into forced appreciation. Neil arrived in the US from India in 1997 with an electrical engineering degree and no appetite for four more years of college plus another six to eight years of employment before he could start a business. He took a job at an independent hotel in Anaheim owned by his uncle's friends. He had never stayed in a hotel before he started working in one. Because he had no experience, he was hired with no title, which in practice meant housekeeping, maintenance, front desk, night audit, and late night calls. He lived in the hotel's rooms with two bags of clothes, went to college at the same time, and later added a degree in hotel management. He now describes the missing title as the best learning of his life, because it put him in every department instead of on a ladder. Ownership came out of a side hustle. Neil left California for a general manager job in Flagstaff, Arizona, on a $34,000 salary, at a group that owned 17 hotels. He had taught himself web design during the quiet hours in Anaheim, and he landed the contract to build all 17 of those websites, working evenings and nights on top of the GM role. The contract produced $20,000, money that would have taken years to save on the salary. When a friend introduced him to a group buying a Best Western in Flagstaff, he asked to invest, put in all $20,000, and became a partner. Then came the part most people skip. In 2004 the partnership bought a Best Western in Tucson for $2.6 million, and Neil moved his family into the hotel apartment for the first five years. From 2004 to 2014 he ran that single property, learning revenue management, marketing, and how brand programs actually work, and operating it with the question of how he would duplicate the process across a second, third, and fifth hotel. He doubled its revenue in the first three years, which nearly doubled NOI and moved the valuation with it. Across the last five of those years his team looked at deals and said no to nearly all of them. His reasoning is blunt: these are multi-million dollar decisions carrying other people's money, so you have to say no more than yes. The deal that ended the wait was in Sedona in 2015, at $6.2 million for 45 rooms, roughly $130 a key and more than double anything he had bought before. What made it workable was that everything wrong with it was operational. The owner lived in California and ran the property remotely, carried a soft brand he did not like and refused to use the brand's programs, cut corners until cleaning and reviews suffered, set flat weekday and weekend rates with a two-night minimum every Saturday of the year, and ran nine room types across 45 rooms. The building itself had been renovated a year or two earlier, so no capital was needed to fix it. It was doing about $900,000 a year at purchase. By 2018 it did $1.8 million, and it was profitable from year one. The financing is where the portfolio compounded. Neil runs the BRRRR approach, buy, rehab, rent, refinance, repeat, at hotel scale. The Tucson Best Western was refinanced in 2014, and those funds bought the first and then the second Sedona property. Cash flow from both funded what came next, and a 2018 cash-out refinance on the first Sedona hotel returned 100 percent of the original investor capital. His stated goal for investors is a position of infinite return, which he says the portfolio has reached in most cases. Timing carries the discipline: refinance when the property is financially ripe, and only accept a higher rate when the capital is going into something that returns 15, 20, or 30 percent. Concentration created a problem he did not see coming. With six hotels in Sedona, Neil found himself asking whether a rate change on one was stealing from another. The answer was a separate guest avatar per property. Southwest Inn, at 28 rooms with handmade headboards and nightstands in every room, goes after affluent wellness travelers at the top of the rate range. Arroyo Pinion, at 45 rooms with more double-bed rooms, cabanas, a fire pit, and views, targets wellness groups and some families. Green Tree Inn, at 66 rooms, is too big to define narrowly and takes adventurers, families, hikers, and sightseers. Arroyo Pinion is now mid-repositioning into wellness, with 10 wellness rooms finished and public spaces converting into a salt room, red light therapy, a relaxation room, sauna, and cold plunge. The guest room renovation alone has already moved ADR up $30, before a single amenity opens. Neil's test for any repositioning is whether it changes your comp set. If you are not replacing some of your comp set with higher level properties, the repositioning will not return what the property deserves. The reporting problem produced a product. Neil's portfolio runs three PMS systems, because brands dictate the stack on branded and soft-branded hotels and he only controls it on the independents. Every morning he and his team logged into each system, ran different reports, and reconstructed the previous day. A manual spreadsheet built by a VA fixed the time cost and introduced human error, the kind he would only catch when it was large enough to notice. So he built it properly with his nephew, who was finishing a master's in computer science. The dashboard, called Portfolio Pulse, started by parsing the night audit reports the PMS systems emailed out, and over the last eight months moved to direct API connections. He now checks rooms sold, ADR, occupancy, month to date, year to date, reservations, cancellations, group cancellations, and the next three months from his phone, measured against both same time last year and budget. While other markets are soft, he says his portfolio is ahead of last year and beating budget in most cases. That system became InnTrend AI, with morning alerts and a conversational layer over the data on the roadmap.

  5. Sep 3

    Renovating a $1.1M Hotel Without Ever Closing It With Anthony Tokosky

    Anthony Tokosky is the Owner and General Partner of The Marlo, a 24-room boutique hotel in Solvang, California, blending Danish-inspired design with modern comfort and serene gardens. He is also the Owner and President of Priority Doors and Windows, a company providing high-quality door and window products directly to homeowners and construction professionals. Anthony leads The Marlo's acquisition, renovation, and repositioning with disciplined underwriting and thoughtful guest experience. A former software engineer, he moved into real estate investing after growing up around his family's restaurant and rental properties. In this episode… How does a software engineer end up owning a boutique hotel? Anthony Tokosky compressed a five-to-ten-year plan into 14 months by joining a hotel acquisition mastermind, learning to underwrite until the numbers ruled out the deals he was emotionally attached to, and partnering with people whose experience covered his gaps. The result was a 24-room hotel in Solvang, California. In this episode of The Lights On Podcast, host Kin Sio talks with Anthony Tokosky, General Partner of The Marlo, about the full arc of acquiring, financing, renovating, and repositioning an independent hotel as a first-time hotel owner. Anthony grew up inside the work. His parents are Chinese immigrants who came from Southern China, opened a small restaurant, and bought rental properties on the side. He was no more than four years old when they started bringing him and his siblings along to properties they were flipping after the restaurant closed at eight or nine at night. He studied computer science, spent 12 years in software, and ran real estate on a parallel track the whole time. The inflection point came with a short-term rental in San Diego and the question every short-term rental operator eventually hits: how do you buy the second one, and the third, and the fifth? The mastermind taught him to underwrite. As he puts it, deals he thought were cool and fun and sexy turned out to have numbers that told another story. CoStar reports and market data got his team to an early thesis that The Marlo, then called The M, was an underperforming distressed asset. What converted that thesis into conviction was door-knocking. His team walked the Solvang market and asked nearby operators directly what the busy seasons were and how many rooms they had occupied that exact weekend. One nearby hotel was running roughly 30 to 40 percent better on a product Anthony describes as newly renovated but not beautiful. That gap was the delta. Being three blocks off downtown looked like a liability on paper; on the ground it meant two large gardens and a parking lot, which the downtown properties cannot offer because every spare foot of their land becomes parking. The deal came as a package: the hotel plus the duplex next door, because the two lots combined form the gardens. On the hotel, Anthony's team put down roughly 20 to 30 percent equity and filled the remaining 70 percent or so with a mix of bridge lending and seller financing. The house carried a conventional loan, so they structured it with seller financing plus equity rather than taking on new debt, leaving them with two capital stacks that both involved the same seller. The renovation was funded as equity, not a construction loan. Anthony could not have gotten bridge lending on his own balance sheet with no hotel operating history, which is where his partners mattered: Neil, a seasoned hotel owner-operator, carried weight with lenders and brokers and added credibility on the equity raise, while Alex handled accounting and Gideon flexed across marketing, permitting, and research. Then came the part that runs on grit. The renovation budget was roughly one million to $1.1 million, and despite delays of a few months, they came in slightly under, even after adding a large stone-veneer fireplace that was never in the original scope. The property is split across two buildings with a parking lot between them, each with its own garden, so they renovated one building while operating the other and generated revenue during a stretch their underwriting had assumed the hotel would be fully closed. Anthony managed it on site himself, driving from San Diego to Solvang at 3 a.m. every Monday for months, because leaving any later than 4:30 turned a four-hour drive into a six-hour one. Active construction ran about ten or eleven months; from acquisition to completion it was closer to two years. The repositioning was deliberate. Before renovating, they hired a branding and marketing consultant named Kay and built a target guest avatar, working through what that guest eats, what their morning looks like, what they do for a living. That work produced the name: The Marlo, a nod to Merlot and the Santa Barbara wine country that surrounds Solvang, with enough playfulness to suggest a golden retriever playing fetch in the backyard. Pets were the gap they saw in the market, and Anthony says they have been proven right. On raising capital, Anthony is blunt. The biggest mistake he sees is people assuming a good deal will attract money on its own. It requires a track record, the ability to sell a dream, and focused effort. He has watched people in his network call a week before closing, short a million and a half dollars, facing the loss of $250,000 in earnest money. Friends-and-family money carries a different weight than your own, and he advises anyone considering syndication to be mentally prepared for it before they start.

  6. Aug 27

    The "Pickleball" Strategy for Independent Hotels With Dina Belon

    Dina Belon is the President of Staypineapple Hotels, a boutique hospitality company headquartered in Kirkland, Washington, known for its collection of uniquely designed and guest-focused hotels in major US cities. Under her leadership, the company is expanding its third-party management and brand licensing model while helping independent hotels preserve their individuality and compete with larger brands. Dina was named one of Women We Admire's Top 50 Women Leaders in Hospitality in both 2024 and 2025 and has also been recognized by Boutique Hotelier. With more than 25 years in hospitality, she previously held roles with Marriott and Wyndham. In this episode… Independent hotels do not beat the big brands by copying them. They win by being specific: a defined property character, a centralized back office that frees the on-property team, and public information deep enough that AI search returns them by name. Kin Sio sits down with Dina Belon, President of Staypineapple Hotels, on The Lights On Podcast to break down how that works across a nine-hotel portfolio. Dina came up through the brand side. Design school, then hotel real estate development in the Orlando market, then construction management at Marriott, then a stretch in sustainability consulting that put her in a downtown Seattle office. She looked out the window one day at a three-story pineapple painted on the building across the way, Googled the company, found an open Director of Real Estate Assets role, and started two weeks later. She arrived planning to teach Staypineapple how to standardize and scale. It took about two years to see that the boutique model runs on the opposite logic. Brands write the SOP and then grade you against it. Staypineapple has one: do the next right thing. Holding that line across nine hotels is the balancing act Dina calls a Venn diagram. A few things never change, including the Naked Experience bedding program, the water bottles, and the in-room coffee program. Everything else bends to the property. The University Inn in Seattle is a 1950s place in the U District that leans hard into its mid-century character, and its tagline is "a neighborhood hotel." The San Francisco property, built around 1910, carries what Dina jokes is more Carrara marble than Italy, and its tagline is "an elegant hotel." A guest who stays at one and then the other has to be told what to expect, and Dina treats that education as part of the job. The scale comes from the back office, not the room count. Staypineapple owns six of its hotels and manages three, and the home office runs both exactly the same way: centralized HR, accounting, sales, revenue management, marketing, and distribution. Everything except guest service sits off property, which leaves the general manager and the hotel team on team member and guest experience and nothing else. That is also the argument against signing with a big brand. Dina's advice to any owner weighing one is to read the agreement in detail before signing, because the headline number is rarely the real number. A brand may quote a 12% fee, and once the additions stack up, 20% of revenue is going to the brand. Staypineapple runs hotels from 56 rooms to 152, roughly 75% transient, and Dina says its fees come in far more reasonable than that. The part Dina is most urgent about is AI search. Her argument is that the OTAs, at their scale, will never hold the depth of knowledge an AI needs when a traveler asks for a quirky boutique hotel near the Loop in Chicago with a restaurant. Independents do hold it. But it only pays off if the information is public and consistent in every place a model looks, from the hotel website to social media to Reddit to Wikipedia, because inconsistency is what an LLM discounts. The deeper and more consistent the record, she says, the more often you get returned. She also thinks the clock is running: Marriott, Hilton, IHG, Hyatt, Choice, Booking.com and Expedia are already in a pilot program with Google to distribute hotels through their systems and take a markup, which is exactly how the OTA era began. On technology, Staypineapple replaced nearly its entire stack in 2024, keeping only the accounting system and the revenue management tool it was happy with. Mews is the PMS. This year the team layered on Abra, a centralized guest profile that pulls from ReviewPro, the PMS, Salesforce, and even Wi-Fi login data, then puts the relevant detail in front of the right person at the right moment. It is the current form of a Surprises and Delights program that started 15 years ago with staff simply listening in the lobby and at the front desk. The hard part was never the software. It was getting people to enter what they heard, which Abra solved by gamifying it, down to a pineapple chunk that is a physical coin worth seven dollars on a paycheck. Dina's caution is that none of it works in the other order. Culture comes first, and the technology goes behind the scenes to put the humans in the spotlight.

  7. Aug 20

    Why Hotels Get Taxed First (But the Business Next Door Doesn't) With Jason Brandt

    Jason Brandt is the President and CEO of the Oregon Restaurant & Lodging Association (ORLA), the leading business association representing Oregon's foodservice and lodging industry. ORLA represents just over 2,800 members and advocates for an industry of more than 10,000 foodservice establishments and over 2,000 lodging properties, some 12,000 small business locations employing close to 220,000 Oregonians. At ORLA, Jason champions Oregon's hospitality industry on issues including taxation, operating costs, workforce development, and tourism growth. Before joining ORLA, he served as CEO of the Salem Area Chamber of Commerce, where he represented businesses and worked with state and local policymakers. In this episode… Hotels get taxed first because the guest paying the tax does not vote in the election that set it. That is the whole mechanism. Kin Sio sits down with Jason Brandt on The Lights On Podcast to unpack how lodging taxes stack up, where the money actually goes, and what an operator can do about it. Jason Brandt runs the Oregon Restaurant & Lodging Association, a statewide trade group with just over 2,800 members. He counts roughly 120 separate local lodging taxes across Oregon at the city and county level, layered on top of a statewide tax. In a market like Portland, the stack reaches 16% of the total lodging stay. Oregon is also one of only four states left without a broad-based sales tax, which Jason says puts a bigger target on lodging operators. The effect is a permanent defensive crouch: his team spends its time stopping the next increase instead of holding the ball and putting points on the board. His counter-argument is an economic one, not a political one. A lodging tax dollar should function like an export: send it out through destination marketing and it comes back as visitor spending that would never have reached the state otherwise. Jason also walks through the cost side of the P&L, including FSA wellness accounts that reduce employer FICA taxes without changing what employees take home, and a group insurance program that saves the average ORLA member over $3,500 a year in premiums. In this episode of The Lights On Podcast, Kin Sio is joined by Jason Brandt, President and CEO of the Oregon Restaurant & Lodging Association (ORLA), to discuss why lodging businesses get taxed first. They cover the 120-plus local lodging taxes stacked across Oregon, the export economy case for spending tax dollars on outbound marketing, and the workforce culture that separates low-turnover operators from the rest. Jason also shares what any operator should ask their own state association.

  8. Aug 13

    She Wore a Wig To Grade Your Hotel With Stephanie Leger

    Stephanie Leger is the Founder and Chief Excellence Officer at First Rate Hospitality, a consultancy specializing in hospitality training, service evaluations, and operational improvement. With over 20 years of global hotel industry experience — including work with The Ritz-Carlton, Mandarin Oriental, AAA, and Forbes Travel Guide — Stephanie has trained more than 20,000 hospitality professionals. Her hands-on approach helps hospitality teams build stronger cultures and deliver consistently exceptional service. In this episode… A hotel stay is rarely won or lost in one dramatic moment. It is shaped by the small details guests notice before check-in, during every interaction, and long after checkout, so what does an undercover inspector really look for when deciding whether a property delivers genuine service excellence? According to Stephanie Leger, a luxury hospitality expert and former incognito hotel inspector, the answer is consistency that still feels human. From ensuring website photos match the actual property to handling a delayed room with care, she explains that every interaction adds to the guest's overall impression, and rigid scripts can quickly make service feel robotic. When hotels train their teams to communicate, anticipate needs, and show genuine interest, they can earn stronger reviews, greater loyalty, and better financial results. In this episode of The Lights On Podcast, Kin Sio is joined by Stephanie Leger, Founder and Chief Excellence Officer at First Rate Hospitality, to discuss how undercover hotel inspections reveal the true guest experience. They explore why she wore a wig, how small service failures compound, and how hotels can make standards feel less robotic. Stephanie also shares advice on onboarding, communication, and natural front-desk upselling.

Ratings & Reviews

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About

The Lights On Podcast features conversations with hospitality leaders about the commercial strategies that drive hotel performance and growth.