Methodology

Four pillars.
One weekly cadence.

Hotel revenue management runs on systems, not intuition. Foxspur applies the same four-pillar discipline that mid-scale hotel portfolios use — demand calendaring, listing conversion, channel-mix optimization, and review-rank protection — to short-term rentals in Middle Tennessee on a weekly operating rhythm.

How we operate

The revenue-management system
behind the work.

Each pillar maps to a lever a hotel RM team moves every week. The difference is scale and region: four pillars applied to one to four units in one market, by one operator who reads the same demand calendar every Monday.

Dynamic Pricing

Hotel revenue managers set rates against a forward-looking demand calendar, not yesterday's occupancy. Foxspur builds a rate ceiling and floor tied to your cost base and adjusts daily against the Middle Tennessee booking pace — CMA week, Titans home games, and the shoulder periods that generic tools price flat.

Weekly example

Every Monday, rates for the next 90 days are reviewed; if a previously slow weekend shows a comp-set pick-up of 20%+ vs. the same time last year, the ceiling lifts before the demand peak fills around us.

Listing Quality

Booking conversion on Airbnb and Vrbo is won in the first three seconds — primary photo, headline, and the opening sentence of the description. Foxspur audits the listing against the search-rank algorithm and rewrites the headline, photo order, and amenities copy when review pace or conversion data signals the listing is losing impressions to direct comps.

Weekly example

If a property's click-through drops two weeks running while its price is competitive, the primary photo and headline are swapped before the following weekend. A/B logic from the platform's own results informs the reorder.

Channel Distribution

Every booking channel — Airbnb, Vrbo, Booking.com, Expedia, direct — carries a different net ADR after fees and acquisition cost. Foxspur weights channel availability against net revenue per booking rather than gross, shifting the channel mix when a platform's fee structure erodes margin below the minimum acceptable rate.

Weekly example

During high-demand periods when direct conversion is strong, OTA availability windows are tightened and the direct rate is surfaced to returning guests. In slow periods the OTAs open fully so broad distribution fills pace.

The Review Loop

Review velocity and rating directly affect search rank on every major OTA — a property drifting below 4.8 stars loses algorithmic placement faster than any price can recover. Foxspur monitors review cadence, flags specific complaint themes to the operator before they accumulate, and sequences the guest-message cadence to maximise post-stay review completion rates.

Weekly example

Every new review is read the day it posts; if two reviews in a month cite the same friction (parking, check-in confusion), the listing FAQ and pre-arrival message are updated that week — before the pattern compounds into a rating hit.

The operating rhythm

Every Monday.
Every property.

The four pillars aren't quarterly initiatives. They run on a single weekly cadence: rates reviewed, listings checked against conversion data, channel mix rebalanced, and the review queue read — every week, for every property on the roster.

Hotel revenue management works because it's systematic, not reactive. A demand calendar that's only updated when a bad month happens isn't revenue management — it's damage control. The weekly cadence forces forward-looking decisions: what does the next 90 days look like, where is pace ahead or behind last year, and what does the market signal right now.

The output is a written monthly owner report that summarises the moves made, the rationale behind them, and the revenue comparison against the prior period. You see the system, not just the outcome.

Next step

Ready to see the system
applied to your property?

A strategy call walks through your current pricing, listing, and channel mix against the four-pillar framework — and leaves you with a clear picture of where the revenue gap is and how it closes.