Pacer runs revenue management for independent short-term rental operators, mostly in the 20 to 500 unit range. Every client portfolio is managed by a senior revenue manager using the playbook Jon Latorre built over ten years scaling Vacasa from 600 to 44,000 units. AI now handles a growing share of that work, and the share grows every quarter.
Pricing tools set rates. Nobody at the typical operator owns the strategy above them: channel merchandising, cancellation policy, stay-length structure, fee ratios, floor rates. That gap is unrealized revenue, and Pacer captures it.
The US short-term rental market generates over $100B in gross booking value annually across roughly 2 million active rental properties. About 800K of those are professionally managed, by roughly 25,000 property management companies, up from 8,000 a decade ago. Consolidation is accelerating: operators that ran 50 units in 2019 run 200 or more today, and that scale creates exactly the complexity that demands a professional revenue management function.
$1.2B+ TAM
~2M US professionally managed STR units at $50 per unit per month.
$480M SAM
~800K units held by property managers in the 20 to 500 unit range, Pacer's core segment.
$24M SOM
~40K units by 2030 on current pricing, a small single-digit share of the serviceable market.
International STR markets (EU, LATAM, AU/NZ) are a further 2 to 3x multiplier on the TAM. Pacer's penetration today is roughly half of one percent of SAM units, captured with zero paid marketing.
Growth to date has come entirely from partner referrals, franchise-network channels (Casago, iTrip), and founder-led outbound. Clients in their first year on Pacer show a pooled 21 percent same-store RevPAR lift, measured across hundreds of units against their own pre-Pacer baselines, which is why they stay and why they refer.
Gross margin compressed from 53 percent in FY2023 to 34 percent YTD 2026 by design. That spend funded a Director of Revenue Management, a Director of Finance, a Principal Platform Engineer, and Mission Control, the internal operating system our revenue managers run client portfolios on. It was the cost of building a platform company instead of a staffing agency.
The path back up runs through one variable: units per revenue manager. Today that ranges from roughly 100 units for RMs still ramping to roughly 800 for the most tenured. Mission Control's automation layer is absorbing the routine work that consumes RM hours, including listing scoring, minimum-rate sensitivity analysis, blocked-night recovery, and client-ready reporting, freeing each RM for the strategy and judgment calls clients pay for. Revenue per RM rises while delivery cost per unit falls. The documented path is 55 percent gross margin within twelve months and 63 percent at target book size. This is the AI-native services pattern: the managed service generates the data and proven workflows, and automation progressively converts service delivery into software margin without losing the client relationship.
Longer term, the same data layer creates a product upside we are not yet pricing in. Mission Control reads from and writes to every major STR pricing platform and benchmarks their outputs against realized lift, training data those standalone tools never see. The rate recommendations it produces are becoming a competitive pricing engine in their own right.
| Metric | Current (May 2026) | 12-Month Target |
|---|---|---|
| ARR / run-rate | ~$1.35M | $2.4M to $2.7M |
| Units under management | 3,661 across 80 clients | ~5,416 (breakeven book) |
| Standard pricing | $38 / unit / month blended | $45 / unit / month |
| Gross margin | 34% YTD | 55%, path to 63% at scale |
| Net revenue retention (blended) | 103.9% | Maintain above 100% |
| Same-store RevPAR lift (first-year, pooled) | +21% (n=18, 754 units) | Maintain |
| LTV : CAC | 4.49x, 8.0-month payback | Target 4x+ maintained |
| Contracts | Month-to-month, no minimum term | Unchanged |
The network
Exclusive RM partnership with Key Data, Preferred partnership with Casago, plus growing integration partnerships across iTrip, Streamline, and Track, built on the founder's operator network. Referral channels competitors cannot buy.
The platform
Mission Control gives Pacer delivery quality and unit economics no services-only firm matches. Named competitors (Foundry, Rev-n-Research, Richer Logic) have nothing comparable.
The bench
A senior, STR-native RM team recruited from Vacasa, Inspirato, Vail, and Expedia. It took years to assemble and cannot be replicated quickly.
Operators in this segment otherwise have three bad options: join a roll-up and give up their brand and equity, hire a full-time senior RM that only pencils above roughly 250 units, or lean on pricing tools that handle rates but not strategy. Pacer is the fourth option.
This is the first outside capital into Pacer. The company is founder-funded, has a clean cap table, and is profitable at the contribution-margin line. Use of funds, ranked by dollar weight:
- Product and data engineer. Accelerates the Mission Control automation roadmap that drives the margin plan above.
- Marketing and sales lead. First activation of paid acquisition for a business that reached $1.35M ARR without it.
- RM capacity. Senior and junior revenue managers hired against committed pipeline, not ahead of it.
The round funds roughly 18 months of runway and the path to $2.4M to $2.7M ARR. The five-year plan is $20M revenue from the core service on current unit economics; the platform layer takes that ceiling to $50M.
Jon Latorre, Founder & CEO. Ten years at Vacasa building and running the revenue management organization from 600 to 44,000 units across 16 countries.
Jason Abbott, Principal Platform Engineer. 25 years of platform engineering experience. Owns Mission Control.
Shaughnessy Fish, Director of RM. Most tenured operator on the team, leads the largest client pod.
Keagan Dunn, Director of Finance. Joined from Chinook Capital and Expedia.
Justin Molliconi, Director of RM. Joined from Inspirato and Vail Resorts.
The bench. 8 of 13 FTEs are