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Short-Term Rental & Real Estate Analytics
Pricing analytics, booking systems, and operations dashboards for short-term rental hosts (Airbnb, VRBO), small real estate portfolios, and family-run lodging or event venues. The work I do for B2B SaaS teams — just applied to property operators.
Where I focus
STR and small-real-estate operators rarely have a data problem in the abstract — they have the data, spread across Airbnb dashboards, Stripe, spreadsheets, and a shared inbox. The job is connecting it so the numbers tell a story before you have to dig for them.
Pricing analytics and rate optimization
Comparable nightly rates pulled from AirDNA and direct market scraping, seasonality curves anchored on your actual booking history, and a pricing model that suggests rates by day — not by month. PriceLabs / Wheelhouse configuration when off-the-shelf is enough; custom models when local quirks (school calendars, regional events, family-stay patterns) need to be priced in.
Booking systems and direct-booking flows
A real direct-booking channel that bypasses platform fees: calendar availability synced from Airbnb/VRBO via iCal, deposit flow via Stripe, WhatsApp Business confirmation, and an admin view your team can actually use. Reference build: the Ranch Booking System on the home page, currently handling reservations for a property in Jalisco.
Operations dashboards
One view that answers: how is the property performing this month vs the same month last year, what is the booked-revenue forecast for the next 90 days, which weekends still have inventory worth marketing, and what is the contribution margin after cleaning, supplies, and platform fees. Built in whatever your team will actually open — Notion, Google Sheets with a real model behind it, or a hosted Looker Studio board.
Acquisition analysis for new properties
Honest underwriting for a property you are considering: comparable nightly rates, realistic occupancy after season adjustments, three-year cash-flow projection with sensitivity ranges, regulatory check on the local STR rules, and a clear yes/no/conditional recommendation. Sometimes the model says do not buy — that is the deliverable too.
Engagement formats
One-off analysis — underwriting for a single property or a pricing audit for an existing one. Usually 1–2 weeks. Fixed fee.
Build engagement — a full direct-booking system, an ops dashboard, or both. Typically 4–8 weeks. Includes documentation and a handoff so your team can run it without me.
Quarterly retainer — ongoing pricing reviews, monthly performance reports, and a 30-minute call to surface anything that needs attention. Right fit for operators with 3+ properties or seasonal businesses where pricing windows matter.
Why hire a RevOps person to do this
Most STR consultants come from hospitality. I come from B2B SaaS Revenue Operations — which means I treat your bookings like a sales pipeline, your nightly rates like dynamic pricing, and your owner P&L like a forecasting model. The vocabulary is different; the underlying analytical work is the same. The result is operators who can talk about RevPAR, CAC, contribution margin, and forecast accuracy without having to learn three new platforms.
Frequently asked
Who is this for?
Short-term rental hosts running 1–10 properties (Airbnb, VRBO, direct), small real estate portfolios, and family-run lodging or event venues. Operators who want better data and tighter ops, but who do not need (or want) enterprise property-management software.
What data do you actually work with?
Booking exports from Airbnb/VRBO, AirDNA market data, Stripe payouts, Google Calendar availability, expense ledgers from QuickBooks or spreadsheets, and any guest-facing form responses. The output is one dashboard or model that pulls it all together — not five tabs in five different tools.
Can you help me decide whether to buy a new STR property?
Yes — that is a common project. The deliverable is a model with comparable nightly rates, realistic occupancy assumptions, a seasonality curve, and a 3-year cash-flow projection with sensitivity ranges. Honest assessment, not a sales pitch — sometimes the model says do not buy.
Do you set up dynamic pricing?
If you want PriceLabs or Wheelhouse, yes — I configure them for your market and goals. If you want something custom (e.g., a pricing model that knows about local events, school calendars, or family-stay patterns), that is a separate small build. Either way the output is automated nightly rates you can override anytime.
Is this just for Airbnb or also for event venues and direct booking?
Both. The Rancho Los Potrillos build on the home page is a direct-booking event venue — calendar availability, deposit flow via Stripe, WhatsApp confirmation, and a full admin view. The same pattern works for Airbnb-supplemented operators who want a real direct-booking channel that bypasses platform fees.
Have a property or portfolio to optimize?
Start with a 30-minute conversation. Walk me through the property, the data you have, and what you wish you knew. We will figure out together whether there is a project here.
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