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Get Paid For Your Pad | Airbnb Hosting | Vacation Rentals | STR Revenue Management

The Definitive Show On Airbnb Hosting from Freewyld Foundry


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  • 709. How to Scale to 100+ Properties Without Losing Revenue Per Listing

    49:07||Ep. 709
    What happens when you scale from 10 listings to 50+ properties? Most operators hit a wall where their pricing strategy completely breaks down. Portfolio metrics look healthy while individual properties bleed revenue. Owners start comparing themselves to neighbors. Identical condos perform wildly differently for no apparent reason.This episode captures a live masterclass where three revenue management experts reveal why the biggest threat to your portfolio isn't market competition but your own listings cannibalizing each other. Kyle Driscoll from PriceLabs moderates as Austin Whitaker (Enrich Revenue Management) and Jasper Ribbers (Freewyld Foundry) expose the critical shift from listing-level to portfolio-level pricing. The conversation gets tactical fast, diving into booking window management, owner psychology, and the momentum factors that algorithm-driven platforms actually reward.The most surprising insight? When properties underperform, price drops rarely solve the problem. Booking velocity does.**You will hear:**- Why portfolio occupancy at 80% (versus 65% market average) can still mean you're leaving 20-30% revenue on the table through ADR mismanagement- How to control pacing 60-90 days out instead of scrambling to fill gaps in the next two weeks (the booking window strategy that separates good from great revenue managers)- What to change first when identical properties perform differently (hint: it's not the price)- When your own listings actually compete with each other and how to spot it using neighborhood-level data- Why new listings should ignore revenue optimization for 2-3 months and focus entirely on five-star reviews (those early reviews determine years of algorithm performance)- How to handle the owner who watches their neighbor's pricing like a hawk and sends angry emails when someone books at $300 while they sit empty**We also talk about:**- Using MPI (Market Penetration Index) to track if you're pacing ahead or behind the market- Strategic grouping based on settings you want to apply, not arbitrary categories- When optimizing for owner psychology at 95% revenue beats pure math at 100%- The Excel tracking system for high-value dates that shows exactly which comps book when- Why underpricing competitors should never be in your comp set (they create pricing ceiling opportunities, not market reality)Mentioned in the Episode:- Freewyld Foundry Revenue Reports: https://freewyldfoundry.com/report- PriceLabs Neighborhood Data Tool- Enrich Revenue Management: https://enrichrevmgmt.comFavorite Takeaway:"Portfolio occupancy can be at 80% when the market's at 65%, and the owner thinks they're crushing it. But what they don't know is they're selling at way too low ADR and leaving 20 to 30% on the table by not leveraging the earlier part of the booking window."Want us to audit your pricing strategy?Get your free, personalized revenue report at FreewyldFoundry.com/report

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  • 708. How to Launch New Listings (Most Operators Get This Wrong)

    22:27||Ep. 708
    If you launch an STR listing on Airbnb (or Booking.com or VRBO) the wrong way, it can cost you thousands and thousands of dollars. And most operators get this completely wrong.In this episode, Jasper Ribbers breaks down the exact strategy Freewyld Foundry uses to launch new short-term rental units, drawing from our experience launching 500+ properties across 70 portfolios in just two years. You'll discover why chasing high ADR in the first 60 days tanks your long-term revenue, how four-star reviews can permanently kill a new listing, and the step-by-step process to maximize review velocity and visibility from day one.YOU WILL HEAR:- Why your first 60 days should focus on reviews, not revenue- The one chance you get at launch momentum and how to capitalize on it- Why four-star reviews are listing killers on Airbnb- How to price new listings to accelerate review accumulation- The critical mistakes that tank new listing visibility permanently- Why you need MAXIMUM night stays during launch, not just minimums- The exact pre-launch checklist to avoid expensive sync errors- How to educate owners who want high ADR from day oneWE ALSO TALK ABOUT:- Why 50% of launch predictions are wrong even with 15 years of data- The timing strategy for syncing PMS, OTAs, and pricing tools- How to use new listing promotions from Airbnb and Booking.com- Why you should tell guests your property is new- The ROI of spending $200-500 per booking on guest experience- How to protect high-value dates while offering competitive pricing- Why calendar availability impacts visibility- The difference between launching in competitive vs. predictable marketsMENTIONED IN THE EPISODE:- Freewyld Foundry Revenue Report: https://freewyldfoundry.com/yt- Airbnb new listing promotion- Booking.com new listing promotion and property score→ APPLY FOR FREE REVENUE REPORT: FreewyldFoundry.com/get-started
  • 707. How to Turn Your Team Into an Owner Acquisition Engine

    34:10||Ep. 707
    Want to outperform the market? Freewyld Foundry’s Revenue & Pricing Management service is driving an 18% performance lift for $1M+ STR operators, even in down markets. If you’re managing 15+ listings and want a free pricing audit, apply here.Most property managers think owner acquisition is a price war. Lower your commission rate, undercut the competition, and the owners will come.Annie Holcombe has seen this play out hundreds of times across her career as an operator, Marriott channel manager, and now consultant. The PMs who compete on price burn out fast. The ones who win play a completely different game.In this episode, Annie reveals why your entire team (yes, even your housekeepers) are your best acquisition tool, why telling owners “you won’t make your mortgage” actually closes more deals than overpromising, and why rapid growth without systems destroys businesses through review damage that bleeds across your entire portfolio.You’ll learn:Why price doesn’t matter when you have a strong brand and honest communicationThe one factor that keeps owners loyal (and the one that makes them leave)How to turn your maintenance and housekeeping teams into brand ambassadorsWhy telling hard truths upfront closes 9 out of 10 owner dealsHow negative reviews on one property damage visibility across your entire portfolioWe also talk about:Why your local competitors should be partners, not enemiesHow channel distribution creates owner pride beyond just bookingsWhen rapid growth becomes dangerous for your businessHow to engage with destination marketing organizations effectivelyWhy small operators are more local than any hotel chainMentioned in the Episode:Abode Luxury Rentals (Park City, Utah)Moving Mountains (Robin and Heather Cragen)Alex and Annie PodcastAnnie & Co. SolutionsVRMA (Vacation Rental Management Association)Follow Annie Holcombe:LinkedIn: Annie HolcombeWebsite: anniecosolutions.com
  • 706. From Guessing to Data-Driven: How to Track STR KPIs

    26:01||Ep. 706
    Want to outperform the market? Freewyld Foundry’s Revenue & Pricing Management service is driving an 18% performance lift for $1M+ STR operators, even in down markets. If you’re managing 15+ listings and want a free pricing audit, apply here →Most STR operators track revenue religiously. They check their dashboards daily, celebrate when numbers go up, and panic when they dip. But here’s the problem: they’re often tracking the wrong metrics, tracking them incorrectly, or comparing numbers that can’t actually be compared.In this episode, Jasper Ribbers pulls back the curtain on how Freewyld Foundry tracks performance across 3,000+ listings managing $153M in annual bookings. You’ll discover why your “total revenue” number is lying to you, how to make fair comparisons when your portfolio changes monthly, and why beating last year isn’t good enough if the market grew faster than you did.This is the exact system we use to manage revenue for operators doing $1M+ in annual bookings.You’ll learn:Why net rental revenue beats total revenue as your North Star metric (and how cleaning fees distort your performance by 50% or more)The three comparison angles you need for accurate performance tracking (vs last year, vs previous months, vs market)How to identify which units are actually “comparable” year-over-year (12+ months of data is just the starting point)Why you need separate dashboards for comparable and non-comparable unitsWhich KPIs actually matter for decision-making (occupancy, ADR, RevPAR, market penetration index, RevPAR index, booking window, length of stay)We also talk about:How to use PriceLabs Market RevPAR YoY percentage to measure market performanceWhy calendar blocks of 7+ days kill your visibility on the remaining daysThe Combined Listings feature for tracking multi-unit properties correctlyHow to diagnose underperforming listings (pricing vs marketing vs distribution vs reviews)Why making profit on cleaning fees complicates your entire pricing strategyMentioned in the Episode:PriceLabsAirDNAKeyDataFree Revenue Report
  • 705. Ep705 - From Gut Feelings to Data: Why AI Makes Screening Critical

    30:52||Ep. 705
    One Christmas Eve, Ela Mezhiborsky got a call no STR operator ever wants to receive. Toronto Deputy Police had confirmed a known gang member posting Instagram photos with automatic weapons in one of her properties. They were asking permission to raid the place.What started as a gut-wrenching $20,000 loss became the catalyst for Autohost, a screening platform now protecting operators from an even scarier threat: AI-powered fraud. The same tools making marketing easier are making crime easier too. Voice bots that sound more human than humans. Fake IDs generated in seconds. Deepfakes that pass visual inspection. And amateur criminals can now access what used to require expert-level sophistication.The worst part? The hospitality instincts that make this industry special (benefit of the doubt, going above and beyond, trusting your guests) have become dangerous vulnerabilities. Your gut feeling that used to be merely inadequate is now actively dangerous.You will hear:How a 4-month fraud pattern across 100+ units went undetected until police called on Christmas EveWhy the very things that make hospitality magical create a playground for fraudsters exploiting our instinctsWhat happens when criminals deploy voice bots programmed with psychological manipulation to pass your screening callsWhy AI-generated messages, IDs, and voices eliminate the traditional "tells" that guest support teams relied onHow objective data points (IP location, form submission speed, credit card patterns) catch AI fraud when gut feelings failWe also talk about:The shift from screening as a privilege to screening as table stakes (similar to payment processing)Parenting in the age of AI: teaching kids to use ChatGPT as assistant, not authorityWhy physical conferences are becoming MORE valuable as bots take over digital communicationHow Autohost's internal AI system (AutoChat) uses department-specific agents for everything from sales prep to customer successMentioned in the Episode:Autohost: https://autohost.aiAutohost Blog: https://autohost.ai/blogScale AI Conference (June 2026)Zack Kass (former OpenAI go-to-market lead)Want us to audit your pricing strategy? Get your free, personalized revenue report at FreewyldFoundry.com/report
  • 704. Stop Guessing, Start Pacing: The 3 Revenue Pacing Questions Every STR Operator Gets Wrong

    25:22||Ep. 704
    Why do airlines charge $500 for a 40-minute flight while short-term rental hosts slash prices 70% at the last minute?In this episode, Jasper breaks down the three most-asked questions about pacing strategy. He reveals why STR pricing follows the exact opposite model of hotels and airlines, how fragmented ownership forces operators into a race-to-the-bottom, and the surprising scenarios where pacing BEHIND the market actually maximizes revenue.You will hear:- Why STR operators cannot take the same pricing risks as hotels with 200 rooms- How to calculate Market Penetration Index in under a minute- When pacing behind the market makes you more money (the last man standing strategy)- Why empty January rooms kill your July bookings- What pickup rate reveals that MPI alone does not show- The pricing tool blind spot during demand spikes- How to set different pacing targets for high season vs low seasonMentioned in the Episode:- PriceLabs MPI Feature: Available in reports section and multi-calendar viewWant us to audit your pricing strategy?Get your free, personalized revenue report at FreewyldFoundry.com/get-started
  • 703. The Price Labs Features 90% of Operators Miss

    20:33||Ep. 703
    You're paying for Price Labs. But chances are, you're not actually using it.After reviewing hundreds of Price Labs accounts through our revenue management service, we discovered something shocking: 90% of operators are leaving money on the table by ignoring features they already have access to. Not premium add-ons. Not expensive upgrades. Just functionality sitting right there in their account, untouched.In this walkthrough, Jasper Ribbers reveals the seven most powerful Price Labs features that separate high-performers from everyone else. From the free market dashboard that shows exactly how your market is pacing, to the booking pickup metrics that tell you if your current pricing is actually working, to the comp set strategy that turns spiky randomness into smooth decision-making data.You will hear:- Why every Price Labs user gets a free market dashboard credit but 90% never activate it (and what competitive intelligence you're missing)- How inactive listings contaminate your KPI reports and create false performance data (plus the one-button fix)- What 7-day and 15-day booking pickup metrics reveal about your pricing effectiveness that occupancy percentages can't show- When expanding your comp set to include different bedroom counts produces better data than rigid matching- Which calendar color mode instantly shows if you're pricing higher or lower than your proven last-year performance- Why the neighborhood data graph matters more than the market dashboard for daily pricing decisions- How to tell if your comp set is too small (hint: if one group booking can occupy 50% of your market's inventory, you have a problem)We also talk about:- The combined listings feature that fixes revenue allocation for multi-unit properties- Multi-calendar metrics most operators never add but should check daily- Future occupancy graphs vs. booking curves and when to use each- Market penetration index setup for different booking windowsMentioned in the Episode:- Price Labs: https://www.pricelabs.co- Freewyld Foundry Free Revenue Report: https://freewyldfoundry.com/reportWant us to audit your pricing strategy?Get your free, personalized revenue report at FreewyldFoundry.com/report → We'll show you exactly where you're leaving money on the table