Before deciding what the last three months say about revenue management, it is worth being precise about what actually happened in those three months. The full portfolio came under Pacer on June 1, arrived with the summer already under-booked, and produced no reliable performance data until August 12. This document lays out that timeline, what it cost, and what the numbers show in the one place where Pacer had a fair shot: the bookings made on our watch.
Pacer has managed two very different portfolios under one name. The original 12 units since October 2025, and a book ten times that size for just under 90 days.
Active revenue management starts in late October on the portfolio as it existed then.
The acquired book (100+ former Vacasa units) moves toward Casago Highland Lakes. This is precisely the window in which June and July inventory normally fills. During these months the units were priced by Wheelhouse revenue management on Vacasa's side, while Vacasa's transition process consumed the operational attention the summer needed.
Pacer had no involvement with this book before the acquisition closed. Day one of managing 130 units was also day one of seeing them.
The Vacasa to Casago handoff did not include a working reservation and historical data transfer. Pacer staff personally drove the reservation transfer work to completion; without that effort the account would not have its data today. Source-system gaps from the handoff were still being validated into late August.
All 130 properties and their history loaded and validated. Of the 88 days Pacer has managed the full book, 72 (82%) came before this date, priced without reliable performance data to work from.
The clearest way to see the inherited position: how much of the summer was already on the books on June 1, this year versus last year. Every figure in this section is same-store, measured only across the 109 units with stays in both summers, so the comparison is unit for unit.
Every single month arrived behind its own booking curve. The damage concentrates in July, the biggest month of the year, which arrived 25.5 points behind: barely half the position it held at the same date a year earlier. That hole was dug in March through May, during the transition, before Pacer had access to a single rate on these units.
None of this reflects on your team, and it is not a market excuse. Responsibility for the inherited position sits in two specific places. The July deficit was created in March through May, when pricing on these units ran under Wheelhouse revenue management on the Vacasa side; that is the regime that let the biggest month of the year sit half empty. And Vacasa's transition process arrived with no owner on the reservation migration at all: Pacer staff completed that data transfer work themselves, and the same pattern of validation failures has appeared at other locations that went through the same handoff. A fair reading of summer 2026 has to start from where those two teams left the book on June 1.
Independent KeyData market benchmarks, trailing 90 nights versus the same nights last year.
Texas Hill Country demand softened broadly this summer: supply growth, statewide tourism headwinds, and flash flooding in Gillespie County in mid July. Roughly half your units sit in these two counties. A revenue decline of this size across an entire market is a market event, not a unit-level or manager-level one, and it would have pressured this portfolio under any operator. The honest question is not whether revenue fell, but whether the portfolio fell faster than its market. Where we can measure it cleanly, it did not, and on the bookings made under Pacer it ran well ahead.
The cleanest test: for bookings made on or after June 1, on the same 109 units, compare the rate Pacer captured per night sold against the same window last year. Rate per night is immune to how much inventory was open, so this isolates pricing from occupancy, supply, and everything else. The only variable left is who set the number.
| Rate per night sold, bookings made June 1 onward, same-store | 2025 | 2026 (Pacer) | Change |
|---|---|---|---|
| July stays | $204.52 | $288.13 | +40.9% |
| Full summer stays (Jun - Aug) | $201.85 | $239.16 | +18.5% |
| Length of stay, full summer | 2.9 nts | 3.5 nts | +20% |
On the same 109 units, the nightly rate Pacer captured on July bookings ran 40.9% ahead of last year, and full-summer rate 18.5% ahead with stays 20% longer, while the surrounding market fell 14 to 19%. Because these are rates per night sold, none of it depends on how many nights were open to sell: it is pricing, not volume. Nearly all of it was captured before performance data even went live on August 12.
What that looks like one reservation at a time. Three bookings from a single August stretch, each produced by the merchandising work now running on this portfolio: length-of-stay rate architecture, direct-channel capture, and forward-window pricing. Every one is on the new book, made under Pacer, and each is linked to its live reservation record.
The strategy behind it was deliberate: fewer, higher-value stays, which is why booking counts look flat while the rate climbs. Alongside pricing, the team found and fixed operational revenue leaks inherited with the book: duplicate coupon stacking and a double-charged municipal tax that were silently dragging rates down, plus comp-set rebuilds where the inherited comparisons made no sense.
A minimum-rate scan across the portfolio found the same pattern working against it a different way.
Full unit-level detail is available on request.
These strategies compound with lead time, not against a deadline. Length-of-stay architecture, direct-channel capture, and far-out pricing all get stronger the earlier they are applied against a booking curve. That is why the Elk Lodge reservation above, a peak July 2027 stay locked in 337 days out at 29% above last year's rate, is the more representative preview of this account: since June 1, the numbers above were built inside a compressed, already-underway booking window. The real test is a full shoulder-to-peak season worked from the start, which the next ninety days finally allow.
Looking forward, September is pacing ahead of last year at the same booking point, with on-the-books revenue per unit up roughly two thirds. August's optics suffer from a calendar quirk worth naming: Labor Day weekend fell in August last year and falls in September this year, so August looks artificially soft and September correspondingly strong. Adjusted for the holiday shift, the book is ahead of last year's pace while the market runs flat to down.
Where we have fallen short, we will say so plainly: the Rocky Hill studios were priced too high for the summer market, and that pricing contributed to losing that owner. The studio and small-unit strategy is rebuilt from that lesson, and with full data now live it applies portfolio-wide.
August 12 was the first day this portfolio could be managed with full information. The ninety days that follow are the first fair test. Here is exactly what happens in them, under the commercial terms Shaugnessy outlined on August 26.
Shaugnessy Fish personally takes over revenue management for the portfolio and is directly responsible for every property review.
The first complete repricing built on validated history and live comps, including corrected comp sets and minimum-rate impact analysis.
The Rocky Hill lesson applied everywhere it fits: seasonal pricing that respects what compact units can carry in the summer heat.
Fredericksburg units ran near 5.5% occupancy against a 22% market. Listing audits, comp corrections, and targeted last-minute promotions aimed squarely at that spread.
Midterm-stay distribution (Furnish Finder registration for selected properties) plus an off-season rate architecture built for the booking windows that actually convert in November through February.
Reviewed together against the now-live KeyData dashboard, same-store, with the market benchmark alongside so we are all reading one set of numbers.
If at the end of ninety days you do not feel the direction, you will have a clear, fully-informed answer either way. But the evidence above says the parts of this summer that were genuinely ours went well, under the worst data conditions this account will ever have. We would like the chance to show what the same team does with full data in hand.