“The goal is actually deeper connection.” 💛 Rachel Alday started Abode Luxury Rentals with her husband during the 2008 financial crisis. Eighteen years later, they manage around 200 luxury homes across Park City, Jackson Hole, and Sun Valley, and over 60% of their bookings come direct. In this episode of the Booked Solid Show, Rachel tells Gil what she wishes she had known sooner. She explains why she hires for the hospitality gene, and why she treats every guest issue as a chance to earn a lifelong client. You’ll also hear about the property lore project that gives each home its own story, and the simple branding move you can set up this afternoon. 🏔️ Podcast Summary and Highlights 👤 Meet Rachel Alday Rachel Alday is the Co CEO of Abode Luxury Rentals. She cofounded the company in 2008 with her husband and business partner, Rob, right in the middle of the financial crisis. In hindsight, that was either bold or slightly unhinged. It turned out to be bold. Over nearly two decades, Rachel has grown Abode into a respected multi market luxury brand known for design forward homes and deeply human hospitality. Today, Abode manages around 200 homes across Park City, Jackson Hole, and Sun Valley. Nightly rates range from about $1,000 to $20,000. With a background in corporate marketing, Rachel now writes and speaks about leadership through care, clarity, and boundaries. She believes luxury should feel elevated but never distant. She lives in Park City with Rob and their three children, and her book, Please Do Disturb, releases November 10. 🧬 Hiring for the Hospitality Gene For roughly 12 years, Abode had no formal hiring process. Rachel admits interviews were mostly friendly conversations and gut instinct. Around 2019, with close to 30 people on staff, she and Rob realized they had an incredible team without knowing how they built it. So they brought in company culture consultants to figure out what was working. The answer she keeps coming back to is the hospitality gene. You can’t train it. Rachel describes it through the end of a shift. One person clocks out and leaves. Another documents every open guest issue, briefs the next shift, and texts a teammate later to make sure everyone is okay. Her early hiring shortcut still holds up. People with long restaurant experience, especially servers and hosts, often carry that gene. Gil shared a similar lesson from CraftedStays. His first customer success hire, Kin, told him he could teach website skills but could never teach someone to care. Listen to the episode for Rachel’s candid take on why a little codependency might be a hiring green flag. 😄 🧹 The $400K Lesson and the Fear Behind It Rachel’s biggest regret is surprisingly operational. She wishes Abode had brought housekeeping in house years earlier. When they finally did, EBITDA improved by roughly $400,000. They already knew the standard they wanted, so there was no reason to leave it in someone else’s hands. The deeper lesson is about fear. Rachel remembers panicking when Rob hired their first part time runner at around $12 to $15 an hour. She was wrong, and that hire helped unlock growth. Now she tells her team, and herself, not to make decisions from fear. Gil offered another way to see it. The real challenge is delivering the same quality at the next stage of scale. Growing from 20 to 40 homes, or from 100 to 200, means deciding what your team should look like before you get there. 🏡 100 Homes Before a Single SOP Here is the part that made Gil stop her mid sentence. Abode passed 100 properties before building real SOPs. New hires learned through ride alongs with the property management team for one to three months, because nothing was written down. What held it together was an unusually close team. Family members work side by side. One company value is “deep roots grow.” Rachel wants teammates who genuinely like each other, because winter in a ski town is intense. Now Abode has strong processes, and those are what let the team keep its standards consistent across 200 homes. Tim Hubbard made a similar case about systems in his Booked Solid episode archive conversation on scaling across dozens of markets. ✨ Property Lore and the Power of Storytelling Rachel is honest that she doesn’t think the vacation rental industry has truly strong brands yet. To her, a real brand is one people recognize even if they have never stayed with you. Still, Abode has built serious brand equity, and storytelling is the newest piece. It began with the About Us page on the Abode website. That page tells the real story of how the company started, instead of listing facts. It worked so well that Rachel and her collaborator Neely now write “lore” for every property. Each story blends homeowner details with a sense of place and a touch of magic. The next step is bringing those stories into the homes themselves. Why does this matter for direct bookings? A big share of the joy of travel happens while guests are still planning. A story gives guests something to feel before they book. It also gives them a reason to remember you. If you want to build that kind of identity, this guide on building a direct booking brand guests remember pairs well with this segment. Hear the full episode for her story about arriving at a Jackson Hole ranch compound and feeling her shoulders drop. 🌄 🔧 Conflict as the Path to Luxury Direct Bookings This is the heart of the episode. Rachel loves the service recovery paradox. Guests who have a problem handled beautifully can end up more loyal than guests who never had a problem at all. In fly to markets, she assumes people will arrive tired and frustrated. A water heater will fail, even with perfect maintenance. So Abode trains for conflict, not just friction reduction. The goal is not only fixing the toilet.

“Direct booking is a commercial system, not a website project.” That’s the line Kin Sio opens with on this episode, and it sets the tone for one of the most tactical conversations we’ve had on AI search visibility yet. Kin runs revenue and marketing operations for more than 40 independent and boutique hotels through his firm, Lights On Digital. In this episode, he walks through how hotels define their booking funnel, why rate parity quietly kills more direct bookings than any marketing mistake, and what his AI search research is turning up across dozens of properties, including why TripAdvisor and OTA listings are outranking hotels’ own websites inside ChatGPT and Perplexity answers right now. If you manage anywhere from one property to a hundred, this conversation will change how you think about where your next guest is actually discovering you. Podcast Summary and Highlights 🏨 Meet Kin Sio Kin Sio is the CEO of Lights On Digital, a hospitality commercial strategy firm that runs revenue and marketing operations for more than 40 independent and boutique hotels. He spent six years in product management at Microsoft, then helped build Coinbase’s international exchange, before acquiring Lights On Digital in early 2025. Most of his work this year centers on AI search visibility, testing whether ChatGPT, Perplexity, and Google AI Overviews actually name a property when a guest asks where to stay. He also hosts the Lights On Podcast and splits his time between Hawaii and Seattle. 🏗️ Where Hotels and Short-Term Rentals Actually Diverge Kin’s world runs on scale. A single hotel can carry the same distribution complexity as an entire short-term rental portfolio, because one property has to sell tens or hundreds of rooms every single night. That’s why hotels lean on RevPAR (revenue per available room) as their central metric. It normalizes performance across a 30-room boutique and a 500-room property, and Kin sees larger STR operators starting to adopt the same benchmark. Worth checking your own numbers against, especially if you’re managing multiple units in one market and can’t tell whether a slow week is noise or a real problem. 💵 The Rate Parity Leak Nobody Notices Ask Kin where most hotels bleed direct revenue, and the answer isn’t marketing. It’s price. He’s seen properties where the direct booking price on their own website was higher than what showed up on Expedia, purely because of fragmented systems between the property management platform, the channel manager, and the rate distribution layer. Guests notice instantly, and they book wherever it’s cheapest, usually not direct. Before spending another dollar on ads or content, Kin’s advice is to check that your rate is identical across every channel your property lists on. It’s the cheapest fix in the entire conversation, and one CraftedStays customers rarely have to think about since PMS-synced pricing keeps that layer unified. 📈 Ads Buy You Time, They Don’t Build Equity Kin doesn’t dismiss paid ads, he’s seen returns north of ten to one within two or three months when they’re run well. But he’s clear about what ads are actually for: buying time while you build the channel that compounds. Organic and social, done right, becomes the highest-ROI channel long term, but it takes real patience, typically three to six months before it moves the needle, sometimes six to twelve before it becomes a consistent revenue driver. Ads fill that gap. They don’t replace the need to build one. 📱 Why Unpolished Content Is Outperforming Pretty Rooms One of the sharper points in this episode: hotels are overproducing content, and it’s hurting them. Kin’s read is that polished shots of pretty rooms and pretty pools have become interchangeable across the entire industry, and travelers have stopped responding to them. What’s converting instead is user-generated, first-person content, ideally from a micro-influencer trading a stay for authentic footage, or from the property owner simply walking through the space on camera. If you’ve been holding off on video because it isn’t “professional enough,” Kin’s data suggests that’s backwards. 🧭 The Destination-First Content Play Kin’s framing here applies directly to short-term rentals: almost nobody starts their trip by searching for a specific hotel or property. They start by choosing a destination, then work backward into where to stay. That means content built around the destination, not the property, is what actually intercepts a guest early in their planning. Local guides, itinerary posts, “what to do with kids in [destination]” content, these aren’t just SEO plays anymore. They’re also exactly the kind of structured, specific content that AI models pull from when answering travel questions. (Note: Kin references a McKinsey study on guest touch points during this discussion; the specific figures haven’t been independently verified for this writeup and are worth confirming before citing publicly.) 🤖 Inside the AEO Shift: Who AI Actually Trusts This is the part of the episode worth relistening to twice. Kin’s AI search visibility research across roughly 20 hotels found that third-party sites, TripAdvisor, OTA listings like Expedia and Booking.com, and earned media from outlets like Travel + Leisure, are getting cited by AI models far more often than the hotel’s own website. AI tools break a single guest question into what Kin calls a “query fanout,” multiple sub-questions answered by pulling from wherever authority already exists on the web. That makes public relations and third-party mentions more important to AI visibility than most operators realize. He and Gil also worked through a common misconception: traditional backlinks are losing weight as an SEO signal, but that doesn’t mean your presence across the web matters less. What LLMs weigh instead is entity reputation, how consistently and accurately your business is described across every place it’s mentioned, not how many links point back to your site. Buying backlinks won’t help. Getting mentioned accurately, repeatedly, and consistently across the web will. 🧩 Structured Data and the Multi-Engine Problem Since AI models read structured data rather than raw page text the way a human would, clean schema markup on your website reduces

“We are the local experts.” Damian Sheridan spent eight years doing SEO for property managers before he built one of the biggest education brands in short term rentals. He knows the technical side cold. So it says something that his best story about local content direct bookings is a 600 word page about which bars in his Spanish village show football. Nobody would call that a booking strategy. It brought him a guest who stayed 16 months. In this episode of the Booked Solid Show, Gil sits down with the co founder and CEO of Scale to unpack what actually gets properties found now. Gil shares fresh research from roughly 24,000 AI search queries and a finding that surprised him: the sites getting cited had fewer backlinks than the ones that did not. Damian explains why that feels fairer. You will hear how pre arrival guest questions become a content calendar, why the lowest hanging fruit in your business is the email list you already own, and the 30 second video almost nobody records that quietly converts browsers into bookers. Whether you are running two units or two hundred, this one gets specific fast. Summary and Highlights 👤 About Damian Sheridan Damian Sheridan is the co founder and CEO of Scale, an educational brand serving the short term rental industry. He started out in 2012 as an SEO consultant working directly with property managers, and spent roughly eight years in that seat. Clients kept asking him for help with Facebook, branding and everything else adjacent to direct bookings. He kept saying no, then pointing them toward people in his network. That pattern became an idea. In late February 2020 he put his own money down on a London venue and ran the first Book Direct Show, about three weeks before international shutdowns. Seven Book Direct shows later, he and co founder Gianpaolo have built Scale into a global events brand with a news outlet and a supplier directory called Connect on the way. Damian now spends most of his time in Spain, where he also hosts. 🍺 A 600 Word Page About Football Bars Booked 16 Months of Nights Around ten years ago Damian owned a small apartment in a whitewashed Spanish village. He wanted fresh content for the site, so he spent an afternoon walking his town taking notes. Best bars for this. Nearest laundrette. He wrote guides for all of it. One piece ran maybe 600 words on the best bars in town to watch football. Three bars, which games each showed, which leagues. It ranked. Nobody writes that page because nobody believes it produces bookings. Then a traveller searching for somewhere to watch a match landed on his site. He did not book that first trip. He came back later, referenced the page directly, and asked about availability. Across the following three and a half years, that guest stayed roughly 16 months in total. All from one page written laterally. This is the same principle behind long tail SEO for direct bookings and the reason SEO landing pages built around specific guest needs keep outperforming polished homepage copy. 🔗 Mentions Are Quietly Replacing Backlinks Damian turned the tables mid episode and asked Gil how much backlinks still matter in AI search. Gil had just finished a study running roughly 24,000 simulated traveller queries across Google AI Overviews, ChatGPT, Perplexity, Gemini and Claude. The team scraped the sites that got cited and pulled backlink profiles for both groups. The cited sites averaged 0.8 times the backlinks of the sites that were never surfaced. Fewer links. Still cited. What separated them was content depth and structure, not domain authority. What did correlate was mentions. Not links, mentions. Being named in a PMS roundup, a Reddit thread, a local blog, a comparison post. Reputation, in other words, in a form machines can read. Damian’s reaction was immediate approval. The old link buying era never resembled how brands actually earn trust. If you want the mechanics, how ChatGPT picks vacation rental sources and the GEO framework for vacation rentals both go deeper, and the study on where property managers already win in AI search shows which engines favour independent operators. 📬 The Data You Are Already Sitting On Ask Damian for the single most overlooked opportunity and he does not say SEO. He says the mountain of guest data most operators collect and then abandon. Email addresses. Phone numbers. Booking dates that quietly tell you it was somebody’s anniversary or a family trip. He is not describing a monthly blast that shouts book now. He means reconnecting. Reach out around the same window next year. Tell them what changed in town. Keep the line open. Gil sees the same pattern in CraftedStays data. Operators clearing 80 percent direct bookings almost always run a system rather than a single tactic. They capture emails at booking, again during the stay, and again on the homepage. Then they nurture. Then they layer SEO and paid traffic on top so the funnel has volume worth nurturing. If that is the gap in your business, start with a repeat bookings email strategy, then work through ten proven vacation rental email marketing strategies and the complete guide to collecting guest emails. Sam Mistretta covered the compounding math on this in his episode on guest retargeting. 👨‍👩‍👧‍👦 Your Inbox Is a Content Calendar Nobody Reads Here is the idea Gil admitted he had never considered. Guests have been asking you questions for years. Pre arrival messages, mid stay texts, the same three concerns every summer. That archive is keyword research written by your actual customers. Damian’s point is simple. If these people are asking, other people are asking, and almost nobody has published the answer. Gil gave a concrete version from his own cabins. Families booking a place with an indoor pool want to know about pool alarms, locked doors, key codes, whether they need to bring floaties. A parent planning that trip has no idea those

“Use OTAs as billboards.” That single line from Mridul Bansal reframes the whole direct versus OTA argument. Mridul is a Product Marketing Manager at PriceLabs, and he spends his days between the product team and the hosts who actually use the tool. In this episode he opens up the box most operators treat as magic. He walks through the three inputs that decide what your property gets priced at tonight, why market data on its own will steer you wrong, and how a hyperlocal read on your competition matters more than a radius on a map. Gil and Mridul also get into the new PriceLabs mobile app, what the MCP connector unlocks when you point Claude at your own revenue data, and the tier of revenue management maturity most operators have not stepped into yet. There is also a candid moment about what you should and should not try to vibe code yourself. If you have ever looked at a rate recommendation and wondered where the number came from, this one is for you. 🎧 Summary and Highlights 🎙️ Who Is Mridul Bansal Mridul Bansal is a Product Marketing Manager at PriceLabs, the revenue management platform used across hundreds of thousands of listings worldwide. He has been with the company for close to three years. His role sits in an unusual spot. As he puts it, he is the voice of the customer inside the company, and the voice of the company back out to customers. That means constant conversations with hosts and property managers, feeding what he hears into the product roadmap, then making sure operators actually know what got built and how to use it. Mridul is based in India and speaks regularly on revenue management, pricing strategy, and data driven hosting at industry events and webinars. He is a firm believer that market data should inform decisions rather than replace judgment. The part of the job he loves most is the people. A pilot who runs a rental. A lawyer. A school teacher. All connected by the same business. 📊 The Dynamic Pricing Strategy Behind Every Rate Recommendation This was the heart of the episode. A solid dynamic pricing strategy is not one calculation. Mridul broke it into three layers that stack on top of each other. Market data. PriceLabs pulls publicly available listing data from Airbnb, Vrbo, and Booking.com. ADR, booked rates, active listing counts, and pacing against the same week last year. The algorithm reads demand signals without always knowing the cause. When rates in a market spike 60 percent for one weekend, the system reacts even if nobody has told it a concert is coming to town. Your own performance. Occupancy and pacing compared against your history and against the market. Mridul used a sharp example here. Say December occupancy sits at 80 percent versus 90 percent last year. That looks like a decline. But if the market is down 20 percent, you are outperforming. Your rates may not need to move at all. Your preferences. How aggressive you want to be. Whether you would rather fill every night on thin margins, or hold rate and accept empty nights. There is no universally correct answer here, and Mridul was clear that the tool is meant to reflect your goals rather than override them. Those three combine into the recommended price. If you are still setting rates on gut feel, the systems first approach to scaling a short term rental business is a good companion read. 🔬 Anyone Can Get the Data, Almost Nobody Can Clean It Gil pushed on something interesting. Operators in Facebook groups are vibe coding their own pricing tools, scraping public data and building a model. Mridul’s response was more generous than expected. He confirmed the data really is public, and that PriceLabs does not use one customer’s private data to price another. In theory, you could gather the same inputs. The moat is what happens next. Owner blocks that look identical to bookings. Duplicate listings. All inclusive rate displays that hide the real nightly figure. Commission baked into a booked price, so a $300 booking yesterday cannot become a $300 recommendation today. Twelve years of nuance sits inside that cleanup. “It’s not just about gathering the data. It’s really about treating that data right.” That line stuck. 🗺️ Why a Radius Around Your Property Is the Wrong Map The hyperlocal piece was the most practical stretch of the conversation. Draw a circle around your property and you will pull in comps that are not comps. Mridul used a lake example. Properties on the far shore show up inside your radius, but no guest is weighing your home against theirs. Gil matched it with a real client market. Lake Anna has a warm side and a cold side. The warm side is private and not open to the public. Pricing between the two is dramatically different, and there is no amenity checkbox in your PMS that captures it. The same logic applies to a stadium. A property near the venue and one ten miles out are living in different markets on concert weekend. If your comp set is wrong, every downstream decision is calibrated off. This is the same specificity that makes SEO landing pages for vacation rentals work, and the same reasoning behind investing in amenities that actually move revenue rather than generic upgrades. 📱 The Mobile App Was Built to Solve Two Problems Mridul’s proudest recent launch is the PriceLabs mobile app, and he was deliberate about what it does not try to be. Problem one is quick edits. Change pricing from wherever you are, in seconds, without opening a laptop. He mentioned one customer who adjusted rates from a yacht, which he found both flattering and slightly concerning. Problem two is awareness. Plenty of hosts have automation running correctly and simply want to glance at what this weekend is priced at, or Christmas, or the week before Thanksgiving. Gil’s own use case landed here. Thanksgiving moves every

“Real fraud that’s aware of your loopholes will not come in looking sketchy.” That’s the moment this episode shifts from guest screening 101 into something a lot more unsettling — and a lot more useful. On this episode of the Booked Solid Show, Gil sits down with Ela Mezhiborsky, Co-Founder and President of Autohost, to talk about guest fraud prevention in an age where AI can fabricate a convincing, sympathetic, entirely fake guest from scratch. Ela walks through how fraud has evolved from fake IDs to synthetic identities, why “gut feeling” is a liability instead of a filter, and why screening guests properly is what actually lets you say yes to direct bookings with confidence instead of fear. Whether you’re just getting your first direct booking site off the ground or you’re managing a growing portfolio, this conversation reframes guest screening as the thing that protects your hospitality — not the thing that gets in its way. Summary and Highlights 👤 Meet Ela Mezhiborsky Ela Mezhiborsky is an industry advocate and public speaker focused on trust and safety as AI reshapes hospitality. A former short term rental operator and Cofounder & President of Autohost, she speaks on “bad AI,” guest verification, fraud risk, bias, and why yesterday’s solutions can’t solve today’s problems. Ela started as an operator running Quickstay, a property management company in Toronto with just over a hundred units, before cofounding Autohost with her childhood friend Roy Firestein, who brought a cybersecurity background to the hospitality problem she was living every day. 🚨 Why an Operator Became a Fraud Fighter Ela didn’t set out to build a guest fraud prevention company. She set out to run a property management business. Somewhere along the way, scale exposed a harder truth: guests could also be the problem.What started as an internal decision tree for her support team, flagging one night local bookings, flagging last minute reservations, flagging certain platforms, eventually collided with something much darker. Escort services. Money laundering. Weapons posted on Instagram from inside a rented unit. That escalation is what pushed Quickstay’s internal spreadsheet into becoming Autohost, a platform now integrated across many major PMS providers, including the ones covered in our Hospitable PMS guide. 🎭 The Guest Who Looks Perfect Might Be the Problem For years, fraud had a look. Fake IDs. Stolen credit card numbers. Sketchy behavior an experienced host could spot.That era is ending. Ela explained how AI now allows bad actors to build synthetic identities from scratch: a convincing photo, a plausible online footprint, a warm story about visiting a daughter at university. These personas don’t look sketchy. They’re built specifically not to.“We’re starting to doubt what we’re seeing,” Ela said, describing a strange new instinct where a guest profile that looks too polished can be more concerning than one that looks rough around the edges. Voice cloning has made it worse. A fraudulent “guest” can now pass a phone call, stay in character under pressure, and even lean on emotional appeals faster than a host can catch them. 📊 Objective Data Beats Gut Feeling Every Time Here’s the part every host needs to hear: intuition is not a screening system. It feels like one, but it isn’t.Ela was blunt about why. “Sketchy” is subjective, and subjective judgment opens the door to real bias, while giving sophisticated fraud an easy way to slip through by simply not looking sketchy at all. Autohost instead builds its guest fraud prevention approach around objective signals: device fingerprinting, whether a credit card was recently flagged, whether an email address was created hours before the booking, whether a listed location matches the device’s actual location.None of this replaces hospitality. It removes the guesswork so a host’s team can stay focused on the guest experience rather than quietly playing detective, a theme that echoes what Abby Grous from Hospitable shared about payment side fraud screening on an earlier episode. 💳 The Chargeback Problem Nobody Budgets For Chargebacks came up as one of the quieter costs of direct bookings, and one of the reasons some hosts hesitate to leave OTAs at all.Ela drew a clear line between two very different problems: real fraud, where a card was genuinely stolen, and “friendly fraud,” where a guest disputes a legitimate charge after the fact. Both hit the same merchant account. The difference is that proper guest verification gives an operator something to fight back with: a timestamp, an electronic signature, a verified ID on file, instead of a guessing game with the payment processor. 🔓 Screening Is an Enabler, Not a Barrier This might be the most important reframe in the episode. Ela argued that treating direct bookings as inherently risky, and responding with blanket rules like “no one night stays” or “no local bookings,” isn’t caution. It’s a financial mistake dressed up as prudence.“Better safe than sorry” sounds responsible. It isn’t strategic. Restrictive policies quietly choke off the direct booking revenue an operator worked hard to build, without actually solving the underlying risk. The fix isn’t more rules, it’s proper screening, paired with a brand guests already trust, the same trust building work covered in building trust on your direct booking site. 🧰 What Guest Screening Actually Costs to Run One thing likely to surprise newer hosts: guest fraud prevention isn’t reserved for large operators anymore. Ela was once restricted to onboarding only larger portfolios at Autohost and got pushback from small hosts who wanted access and couldn’t get it. That gap has closed.Cost typically runs from cents to a few dollars per reservation, scaling with how much verification a jurisdiction or contract requires. Compared against the cost of one bad chargeback, or worse, a property used for something it was never intended for, the math isn’t close. Whatever platform a host uses, a PMS, a direct booking site, or a standalone tool, the point is simply to build a verification step into the guest journey, the same way brand trust and OTA to direct conversion get built into the rest

“Resourcefulness is the ultimate resource.” — Tim Bratz What happens when a commercial real estate operator with 2,800+ apartment units starts converting a slice of that portfolio into short-term rentals — and generating two to three times the revenue on those units? In this episode of the Booked Solid Show, Gil sits down with Tim Bratz, founder of Legacy Wealth Holdings and Smart Management. Tim walks through how he went from a 23-year-old with a maxed-out credit card buying his first $14,000 house, to building and shrinking a portfolio that’s peaked at nearly 5,000 doors and is valued at over $350 million today. But the real story here is what’s happening right now: multifamily operators like Tim are quietly carving off a small percentage of their apartment units, furnishing them, and putting them on Airbnb and VRBO — and it’s opening up a massive opportunity for short-term rental operators to partner directly with commercial real estate owners who are sitting on stressed portfolios and need help generating revenue without taking on debt. If you’ve ever wondered how the STR world looks from the other side of the real estate spectrum — or you’re looking for your next growth opportunity beyond just buying more doors — this conversation will change how you think about where direct booking expertise can go next. Summary and Highlights 👤 About Tim Bratz Tim Bratz is the Founder and CEO of Legacy Wealth Holdings, a commercial real estate investment firm headquartered in Charleston, South Carolina, with a portfolio of roughly 2,800 rental units valued at over $350 million. He’s transacted on more than 6,000 doors across his career, scaling from single-family flips to a multifamily portfolio that once peaked near 5,000 units before Tim intentionally trimmed it down for quality over size. Tim is also the founder of Smart Management, an all-in-one AI-enabled property management platform built to unify leasing, accounting, communication, maintenance, and reporting — for residential, commercial, and short-term rental portfolios — into a single system. He also runs the Legacy Family Mastermind, coaching entrepreneurs on scaling into multifamily real estate, and hosts his own show, The Legacy Podcast. Originally from Cleveland, Ohio, Tim got his start as a real estate broker in New York City before relocating to Charleston in 2008 — right as the housing market collapsed. With no lender willing to bet on an unproven 23-year-old, he financed his first property with a credit card balance transfer check. That resourcefulness became the throughline of everything he’s built since. 🏢 From Broker to 6,000 Doors: The Long Game Tim’s path into real estate started as a commercial broker in New York, closing leases for landlords who were pocketing millions off deals he’d spend hours negotiating on their behalf. That imbalance is what pushed him to the ownership side. After moving to Charleston in the middle of the 2008 crash, he found his first deal — a $25,000 listing he negotiated down to $14,000, funded with a $15,000 credit limit increase on a Mastercard. He renovated it himself, sold it 100 days later, and netted $13,000. He just kept repeating that formula. By 2012, Tim moved into multifamily, drawn to the efficiency of managing one roof and one utility bill instead of eight. Partnerships, flips, and a turnkey rental business followed, before he made a deliberate pivot in 2017: stop flipping single-family houses entirely and go all-in on acquiring apartments. That decision compounded into thousands of units acquired across 2018–2021, before rates, insurance costs, and labor expenses forced a multi-year period of defense — trimming the portfolio down to today’s roughly 2,800 units, still worth over $350 million. For a related look at what disciplined, intentional scaling looks like on the STR side, check out how Fouad Bazzi and Jacinda Neustel built an 82-property portfolio across six markets using the same “growth isn’t just more doors” philosophy Tim describes. 📉 Why Commercial Real Estate Is Taking Arrows Right Now Tim doesn’t sugarcoat the last few years. Multifamily is valued on the income approach — income minus expenses equals net operating income — and while rents stayed largely flat from 2022 through 2026, expenses climbed dramatically: property taxes up over 25%, insurance premiums doubling or tripling in coastal markets, materials up over 40%, energy up 50%. Add in variable-rate loans hitting the steepest Fed rate hikes in history, and a lot of operators found themselves squeezed with no exit strategy — unable to sell, unable to refinance, forced to just hold on and cash flow. Tim’s advice for anyone navigating instability, whether in commercial real estate or short-term rentals: control the controllables. He restructured investor returns, negotiated seller financing, and avoided cementing losses on properties that were still cash-flow neutral, even when they weren’t performing like they used to. The parallel to STR revenue management is direct — operators focused on amenity and property-level upgrades that move revenue are applying the same discipline: control what you can influence, hold steady through what you can’t. 🏠 The Multifamily-to-STR Conversion Play This is the heart of the episode, and it’s a strategy most short-term rental operators have never considered from this angle. At Legacy Wealth’s apartment complexes, Tim typically converts about 5% of units at any given property into furnished, short-term-licensed rentals — the ceiling most lenders will allow before it creates financing complications from over-concentrating revenue in a single stream. The tiered approach looks like this: For multifamily owners feeling squeezed by flat rents and rising expenses, this is a direct lever to boost net operating income without adding debt or units. And here’s where it gets interesting for STR operators specifically: Tim sees this as a wide-open door for short-term rental experts to partner directly with apartment owners who don’t have the team, bandwidth, or hospitality background to run this themselves. That can look like a rental arbitrage lease on 5–10% of a building’s units, a revenue-share or equity-stake arrangement, or simply offering furnishing and management services in exchange for a cut of

🎙️ Why Your Marketing Is Working — But Guests Are Still Booking on Airbnb “You have to build trust on that website. Just being cheaper is not enough.” — Amber Knight You’re driving traffic. You’re running ads. Guests are clicking. And then… they book on Airbnb anyway. If that sounds familiar, this episode is exactly what you need to hear. In this conversation, Gil sits down with Amber Knight, General Manager at BookingsCloud, to pull apart the real reason so many direct booking strategies stall — not at the awareness stage, but at the moment of truth: the booking itself. Amber brings a background most people in short-term rentals haven’t encountered — data-driven advertising built inside a 100-year-old media company, refined through the automotive industry, and now applied specifically to vacation rental portfolios. What she shares in this episode reframes the entire conversation around ads, conversion, and what it actually takes to turn a qualified visitor into a confirmed direct booking. Whether you’re just getting started with direct bookings or you’ve been at it for a while and the numbers aren’t moving the way you’d like, this one is worth your full attention. Summary and Highlights 👤 About Amber Knight Amber Knight is the General Manager at BookingsCloud, a performance marketing company that helps vacation rental managers turn traveler demand into direct bookings. Drawing on her roots in a century-old media company called Advance and years of experience applying data-driven ad technology in the automotive sector, Amber has spent the past two years adapting that infrastructure specifically for the short-term rental space. At BookingsCloud, her team connects directly to a manager’s PMS, builds fully automated, inventory-specific ad campaigns through Meta, and uses an opportunity scoring system to prioritize which properties get ad spend based on revenue potential — not gut instinct. The result is a system that has delivered return on ad spend as high as 100X for established operators. 🔑 What You’ll Take Away From This Episode Before getting into the highlights, here’s the core thread running through everything Amber shares: direct booking conversion doesn’t fail because of bad marketing — it fails because the traffic and the website aren’t working together. Ads bring people in. The website either closes them or loses them to an OTA. Once you understand that, everything changes. 📊 Why Data-Driven Ads Work Differently in This Space Most property managers who run ads are either boosting social posts or running brand-level campaigns that send traffic to their homepage. Amber explains why that approach leaves a lot on the table. BookingsCloud operates differently. Rather than building audience segments manually or targeting by demographics, they feed Meta a rich stream of property-level data — amenities, pricing, photos, descriptions — and let Meta’s machine learning figure out exactly who to put each ad in front of. Every ad is inventory-specific. Every click lands directly on the relevant property detail page, not the homepage. The analogy Amber uses is the automotive industry: if you want a white Toyota 4Runner with a specific trim package and you see an ad for exactly that vehicle at a dealership five miles away, you’re going to click. That same logic applies to vacation rentals. When a guest sees an ad for a property that has the hot tub, the pet policy, the neighborhood, and the nightly rate they’ve been searching for, they’re not settling — and they’re far less likely to get distracted by price. This is a meaningful shift from how most operators think about social advertising. And the data backs it up. 🎯 The Opportunity Score: Spending Where It Actually Matters One of the most practical frameworks Amber introduces is what BookingsCloud calls the opportunity score — a data model that determines which properties in a portfolio should receive ad spend in any given month based on their booking window, revenue potential, and current occupancy. Think about what that solves. A $1,000/night property with one open week and a $300/night property with three open weeks have very different revenue profiles. Experienced managers make these calls intuitively. BookingsCloud makes them systematically, across an entire portfolio, using a data science team. The result is that operators stop spreading ad dollars thin across everything and start concentrating spend where it generates the most return. It’s not about filling last-minute gaps — it’s about applying pressure at exactly the right moment in the booking window for the right property. If you want to understand how scalable direct booking strategies connect to smart ad spend, this section of the conversation is essential listening. 🏠 Why Guests Who Click on Your Ad Still Book on Airbnb This is the part of the episode that will make a lot of operators uncomfortable — and it’s the most important thing Amber says. When BookingsCloud sends guests directly to a property detail page, 20 to 40% of them still end up booking on Airbnb or VRBO. Not because the property isn’t right for them. Because they don’t trust the website. They found the property. They want to book it. But they trust Airbnb to handle things if something goes wrong. That trust advantage — built over years of OTA use — doesn’t go away just because you have a beautiful website. Amber breaks down what actually builds trust on a property page: authentic reviews (including the occasional less-than-perfect one with a thoughtful response), clear evidence that a real person is reachable, and a booking flow that feels familiar. Guests aren’t looking for novelty in how they book — they want the process to feel like something they’ve done before. The moment it feels unfamiliar, conversion drops. Gil adds something equally important from the CraftedStays side: when the booking flow redirects to a PMS engine on a different subdomain, the URL change alone signals to guests that something is off. Consistent domain, consistent session, consistent trust. Building trust on your direct booking site isn’t optional — it’s the difference between capturing a booking and handing it to an OTA.

“The only differentiator between my property doing $254K and my neighbor doing $185K? Design — and the strategy behind it.” What if the gap between a good STR and a great one wasn’t the location, the square footage, or even the amenities — but the intention behind every design decision? In this episode of Booked Solid, Gil sits down with Courtney Petrovich, founder and principal designer of Denori Designs, to unpack why strategy always comes before the furniture. Courtney is both a data-driven investor and a hospitality designer who works across short-term rentals and boutique hotels — and she brings the best of both worlds to this conversation. You’ll hear how she took an eight-bedroom beach duplex from $120K to $254K in annual revenue, why boutique hotels consistently outperform on direct bookings, and the one free thing every host can do today to make guests feel genuinely connected to where they’re staying. Summary and Highlights 👤 About Courtney Petrovich Courtney Petrovich is a real estate investor and the Founder and Principal Designer of Denori Designs, a hospitality design firm specializing in short-term rentals, boutique hotels, and high-performing hospitality spaces. What makes Courtney different is that she’s not just a designer — she’s an active host and investor who underwrites properties, studies market data, and personally operates the spaces she designs. Her process blends narrative-driven environments with real-world operational insight, resulting in properties that look beautiful and actually perform. She holds a Hotel Planning and Design Certificate from Cornell University and is a contributing author in the #1 bestselling book Hospitable Hosts: Sisterhood Edition. She’s also a frequent industry voice on podcasts and stages, including an upcoming speaking appearance at the STR Hospitality Summit. Her current flagship project, The Wesley in Page, Arizona, is a boutique hotel inspired by explorer John Wesley Powell — a property whose design narrative was so compelling it helped the owners raise hundreds of thousands of dollars in investment before the doors even opened. ✨ Key Takeaways from This Episode Before you read the highlights, here’s a quick snapshot of what this conversation covers: 🔬 Strategy First, Design Second One of the most refreshing things about Courtney’s approach is that she doesn’t open a design project with colors or furniture — she opens it with a spreadsheet. “We always start with market research and let that guide us first,” she shares. “What’s performing well? What are competitors doing and not doing? How do we capitalize on the gaps?” This isn’t just theory. At her first North Myrtle Beach property, that research led to a design that targeted two very specific guest types: golfers during shoulder season and multi-generational families during peak. The result was a property that did more than double the revenue of her next-door duplex — same layout, same ocean views, same shared pool and hot tub. The differentiator wasn’t luck. It was a strategy that flowed from data into design. If you want to go deeper on building your guest avatar before you ever pick up a paintbrush, check out this piece on identifying your ideal guest avatar as an STR acquisition strategy. 🏡 From $120K to $254K: A Real Case Study Courtney’s first property had been furnished since the house was built in 2003 — beige walls, gold accents, and seafoam-printed couches. It was doing $120K a year for an eight-bedroom second-row-to-the-ocean home. After doing her market research and identifying her guest avatars, she invested $60K into a full redesign. In the first year post-redesign, the property brought in $254K. Her neighbor in the identical duplex unit, with a more DIY approach to design, is still at $185K. “The ROI numbers when we sit down and analyze them are just mind-blowing,” Courtney says. “You cannot get these returns in the stock market.” And that $60K paid for itself in five months. Everything since has been pure upside. What made the difference? Not just aesthetics. Courtney installed a mini putt-putt inside, added golf club storage at ground level (no more hauling bags up multiple flights of stairs), stocked family essentials like pack-and-plays and high chairs, and designed a color palette and texture story that made guests feel like they were undeniably at the beach — even with the curtains closed. 🎯 Finding Your Ideal Guest Avatar Courtney’s guest avatar process starts broader than most hosts expect. She doesn’t begin in AirDNA or PriceLabs — she starts with travel trends at a regional or national level, understanding why people are coming to a market before she thinks about who they are. From there, she layers in the platform data. And one of her most tactical suggestions? Use AI to summarize competitor reviews. “AI is a great place to be able to look at all the reviews of nearby listings and summarize what people are saying. This person came for a golf trip. This person stayed for their child’s graduation and loved that the dining table could fit everyone.” That kind of insight shapes everything from the amenities you stock to how you describe your property on your direct booking website. For a practical look at how guest avatar research connects to your entire acquisition and marketing strategy, this article is worth a read: Ideal Guest Avatar: The STR Acquisition Strategy That Drives Every Decision Downstream. 🏨 What Boutique Hotels Know That STR Operators Don’t (Yet) Courtney splits her time between short-term rental design and boutique hotel projects, and the cross-pollination of ideas is where this episode really takes off. Sense of Place Boutique hotels start every project by immersing themselves in the story of a location. For The Wesley in Page, Arizona, Courtney and the owners spent three days on-site — hiking local trails, visiting history centers, and learning about the geology of the Colorado River plateau. That immersion led to the hotel’s name, its narrative, and its entire design thread: explorer John Wesley Powell. “Elements from his life are now tied into the design,” Courtney explains. “He kept his exploration notes in

“You can have a perfect property, listed perfectly, with perfect reviews — but if it’s not priced right, people just won’t book it.” — Tim Hubbard What does it actually look like to run a short-term rental business from thousands of miles away, across 40+ cities, in multiple countries — and still deliver a five-star guest experience consistently? That’s not a hypothetical. That’s what Tim Hubbard has built. In this episode of the Booked Solid Show, Gil sits down with Tim, founder and CEO of Corzly, a remote-first hospitality company managing 220+ properties across dozens of markets. Tim is also the host of the Short Term Rental Riches podcast, and he brings more than 11 years of STR experience to this conversation — from his first light-bulb moment comparing Airbnb rental returns to traditional long-term properties, to building a white-label operations model that gives owners back their brand without sacrificing operational control. You’ll hear Tim’s perspective on why the property management model is changing, how AI is reshaping guest communications, what every host needs to have in place before chasing direct bookings, and the one tactic he recommends for anyone looking to grow their direct booking rate starting today. If you’re a host trying to scale without losing the personal connection to your property — or a property manager rethinking how your operations are structured — this one is for you. Summary and Highlights 👤 About Tim Hubbard Tim Hubbard is a real estate investor, entrepreneur, and educator who has been operating in the short-term rental space for over 11 years. Originally from California, Tim now lives in Southern Brazil and runs Corzly — a remote-first hospitality company that serves as the core operating center for STR partners across 40+ cities and multiple countries. To date, Corzly has managed 220+ properties and hosted more than 50,000 guests. Tim is also the host of the Short Term Rental Riches podcast, where he shares quick, actionable solo episodes drawn from his portfolio and the property owners he works with daily. His focus is helping STR operators optimize operations, protect their listing performance, and increase revenue — all without giving up control of their brand. 🔗 Website: www.corzly.com 🎙️ Podcast: www.strriches.com 📘 Facebook: facebook.com/corzly 💼 LinkedIn: linkedin.com/in/tim-hubbard-str 🔑 Key Takeaways From This Episode Managing 220+ properties remotely isn’t luck — it’s infrastructure. Here are the ideas that stood out most from Tim’s conversation with Gil. 🏗️ The White-Label Model: Operations Without Ownership Most property management companies take over your listing and your brand along with it. If things go sideways — poor reviews, inconsistent service — those marks stay with your property permanently. And if you ever want out, you’re often starting from scratch. Corzly works differently. Every listing stays under the partner’s name. Payments flow to the owner. The brand remains theirs. Corzly simply steps in and pulls all the operational levers — guest communications, revenue management, housekeeping coordination, review management — while the owner retains full control of their marketing and their asset. For hosts who still feel deeply connected to their property but genuinely don’t have the bandwidth to manage it themselves, this model addresses a real tension in the market. As Gil noted, many homeowners who built their sites through CraftedStays are exactly this kind of operator — invested in their brand, proud of their property, but needing the right operational partner to make it sustainable. This matters especially because listing performance is tied directly to reviews, and reviews are tied directly to who’s managing the guest experience. A traditional PMC can quietly damage your listing’s ranking with no real accountability. A white-label model keeps that risk on the right side of the table. 🤖 How AI Is Actually Being Used at Scale Tim and his team use AI for guest communications — and the results aren’t just about speed. It’s about consistency. When multiple team members handle guest messages across different shifts, tone and phrasing naturally drift. That drift is a human thing — not a failure. But for guests expecting a seamless experience, even small inconsistencies can erode trust. AI solves this by maintaining one unified voice throughout every touchpoint of the guest journey. Corzly currently uses Conduit as their AI infrastructure and has built custom layers on top of it. One example: if a guest mentions a loose door handle in a message, that feedback is automatically pushed into Breezeway as a maintenance task. No manual handoff. No missed follow-up. This connects to something Gil regularly talks about when it comes to building a direct booking strategy that scales — the systems that remove human error from high-volume operations are the same systems that protect your reviews, your ranking, and ultimately your revenue. What AI doesn’t do well yet, Tim notes, is handle complex operational workflows with multiple decision layers — like early check-in requests, which require confirming housekeeping availability, owner approval, timing parameters, and payment collection. The promise of “AI handles everything” is still a long way from that level of nuance. 💰 Revenue Management: The Piece Most Hosts Underestimate Tim is direct about this: even a beautifully staged, perfectly photographed, and consistently well-reviewed property will underperform if it isn’t priced right. Corzly puts significant effort into revenue management — not just setting rates, but knowing when to offer promotions, which channels to mark up, when to apply discounts for direct bookings, and how to compare performance against the broader market. Tools like PriceLabs play a role, but the strategy behind them is just as important as the tool itself. For hosts just getting started with direct bookings, pricing is often the last thing they optimize — and that’s backwards. You can drive traffic to a beautifully designed website, but if your pricing isn’t competitive in context, you’re still leaving bookings on the table. 📸 The Fundamentals That Actually Move the Needle Before any advanced strategy comes into play, Tim always makes sure a few core things are in place for every property Corzly