Most market analysis stops at raw RevPAR, which can obscure real pricing performance when bedroom mixes vary. We pulled the data, normalized it, and surfaced where you sit against six named Columbus operators, and what closing the gap is worth.
Columbus bedroom mixes range from 1.45 BR to 2.92 BR across the named comp set. Comparing raw RevPAR without normalizing for bedroom count is like comparing studio condos to 4-bedroom homes. We pulled bedroom data on every Airbnb listing for each named operator: 500+ listings across the seven largest Columbus PMs with extractable data, so you can compare on the same axis as your competition.
Operators that look strong on raw RevPAR often run larger units. They're not actually pricing better, they're just renting bigger inventory. Evolve shows the cleanest example in Columbus:
The seven Columbus operators with extractable bedroom data, ranked. Bars colored by performance quartile. Your position is highlighted in Pacer Teal.
| Rank | Property Manager | Listings | Avg BR | Raw RevPAR | RevPAR / BR | Rating |
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Source: RevPAR, ADR, occupancy, revenue, and portfolio counts are sourced from AirDNA's Columbus market dataset (summer 2026 TTM). AirDNA aggregates from Airbnb, VRBO, and direct booking signals.
Known AirDNA accuracy limits: Listing counts and revenue figures are estimates, not ground truth. For named operators, AirDNA counts can be 5-15% off either direction versus the operator's internal PMS records depending on listing activation timing, multi-platform deduplication, and direct-booking visibility. For example, Housepitality shows 149 listings in this dataset versus 175 visible on the direct booking site (which spans Columbus + Cincinnati). All comparative analysis in this report is directionally accurate, but absolute revenue lift projections should be re-validated against your internal PMS data once an engagement begins.
Bedroom data: Direct extraction from each operator's Airbnb host profile and individual listing pages by Pacer for six operators (Gibson & Hetherington, H2H Services, Nicole, Erich, Cheryl). Housepitality and Evolve extracted from direct booking websites because the AirDNA host ID either didn't resolve to a host profile or wasn't available. Counts ranged from 36 to 175 listings per operator, with full-portfolio extraction wherever possible.
Excluded from comp set: The Styer Group (AirDNA host ID resolves to a guest profile, not a host profile; source data issue); Grand Welcome (national franchise with zero Columbus listings on direct booking site, likely served through franchisee Airbnb accounts not aggregable); Jill / Lost Lands Camping (40-unit camping operator with 0-BR inventory, not comparable to bedroom-normalized metrics); Tailwind STR, Jungle House, the 41-unit Housepitality entry, and Rachel Marullo (no Airbnb host URL and no direct booking website in source dataset). These exclusions are listed in the source sheet.
Multi-market flag: Housepitality's direct booking site shows 175 listings across Columbus + Cincinnati, while AirDNA tracks 149 specifically in Columbus. Bedroom distribution and weighted average are computed from the full 175 but applied directionally to the Columbus AirDNA count for normalization.
On the PriceLabs RevLabs webinar earlier this year, Benjamin laid out the rating-to-revenue math himself. The framing below is his, not ours. We just measured the gap.
"If you get an average of 4.5 compared to 4.9, you might make 20 grand less in a year. Let's go ahead and invest that three grand on the front end to set a good foundation."
All math in this section is calibrated to your STR portfolio only (the 149 units AirDNA tracks), not your full ~250-unit book that includes mid-term and long-term. Pacer's expertise lives in STR yield, so we benchmark and price what we can actually move. The mid-term and long-term portion is your wedge and your relationships, and we wouldn't touch it.
We can size the prize from public data. We can show you Pacer's historical track record. We cannot promise a specific lift number until we've had a real conversation about your business and built a proposal sized to your setup. That's an honest sequence, and it's how every Pacer engagement starts.
Closing the per-bedroom yield gap to Gibson & Hetherington, the closest credible Columbus comp at similar scale and bedroom mix:
First-year RevPAR lift across Pacer's portfolio of 60+ client markets. These are book-wide bands, not a forecast for Housepitality.
No commitment, no audit, no pitch. This is a get-to-know-each-other call. We learn your business, your priorities, your current setup, and where you're feeling friction. You learn how Pacer thinks and whether we're worth a second conversation.
How the math works. Gap calculation: ($47.67 - $44.45) × 431 bedrooms × 365 days = $506K. Historical lift bands are computed from Pacer's portfolio of 60+ client markets including publicly verified case studies (Geneva Lakes +60%, Galveston +66%, New Wave PM +39%, Arrival Getaways +31%, Palm Desert +22%, Casago Heber +23%). Pacer's fee at your scale runs roughly 1.4% of rent revenue, approximately $50K/year against your $3.57M base. We do not commit to a number for your portfolio until we have had a real conversation about your business. Every engagement starts with an intro call, then a custom proposal.
Most RM approaches react to outcomes (RevPAR, occupancy) by adjusting price. That's how operators leave money on the table and erode ADR over time. Pacer's framework treats price as the last lever, not the first. Three pillars make the system work.
When a unit underperforms, the cause is rarely "the price is wrong." It's usually upstream: a min-stay rule that blocks the booking, a cancellation policy that feels too risky, listing photos that suppress visibility, a fee-to-rent ratio that creates sticker shock.
Our YES Scorecard evaluates every property against six yield layers in precedence order. We fix blocking constraints before touching price. Result: fewer reactive discounts, sustained ADR, and a defensible rationale for every move we make on your behalf.
Pacer Portal runs an internal agent stack: AI fingerprints every property twice daily, generates listing optimization, runs minimum-rate impact analysis, and pre-populates diagnostic scorecards. The grunt work is absorbed by AI so the human work is high-leverage.
A senior RM with Vacasa / Vail Resorts / Vtrips pedigree owns your account, validates every AI suggestion, and runs weekly strategy reviews. We sit on top of your existing stack (PriceLabs, Wheelhouse, Guesty), not next to it.
Pacer operates across 60+ STR markets in the US and internationally. Double-digit same-store RevPAR lift is consistent across our client cohort year over year. Publicly verified case studies include Geneva Lakes (+60%), Galveston (+66%), New Wave PM (+39%), Arrival Getaways (+31%), Palm Desert (+22%), Casago Heber (+23%).
5.0 stars on the PriceLabs RM Partner Directory. Exclusive KeyData partnership means every Pacer client gets reservation-grain comp benchmarks built into delivery, not bolted on after.
This benchmark was built specifically for Housepitality's Columbus portfolio. Let's walk through your largest revenue opportunities and what an engagement with Pacer would look like.
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