Question 1

Are these real customers or composite stories?

Accepted Answer

All five named case studies are real RevEvolve customers with written permission to publish. The RM Copilot research draws on aggregate data across 200+ customers; individual property identifiers are not disclosed in that comparative study.

Question 2

What's the typical RevPAR uplift?

Accepted Answer

Aggregate average is +13.7% within 10 days of go-live. By segment: independents see +13–15% RevPAR, chain properties focus on ADR-position gains of +8–10%, boutique and resort customers see +11–14% TRevPAR (room + ancillary), and multi-property portfolios run +9–12% TRevPAR depending on mix.

Question 3

What's the implementation timeline?

Accepted Answer

Independent hotels: 12–14 days. Chain properties: 21–30 days. Boutique groups: 14–21 days. Resorts: 21–45 days. Multi-property and management companies: 21–90 days depending on portfolio size and brand mix. The longest configuration step is typically brand-standard loading or comp-set composition for portfolios with 8+ properties.

Question 4

Do you have case studies in my segment?

Accepted Answer

The five named studies cover independent, chain, multi-property, and management-company segments. Boutique and resort references are available via reference call and through the segment-specific solution pages - contact us for an introduction.

Question 5

Can I talk to a current customer?

Accepted Answer

Yes. Reference calls are coordinated for active procurement evaluations. Typical turnaround is 5–7 business days from request to scheduled call. Contact sales@hotelswitchboard.com or use the Request Reference Call CTA below.

Question 6

How are outcomes measured?

Accepted Answer

Outcomes come from the customer's actual operational data (PMS-sourced, pre vs post-RevEvolve, with seasonal adjustments where applicable), time-recovery analysis on operator workflow, and customer approval before publication. Metrics that can't be verified to a published standard are removed rather than estimated.

Question 7

Do these outcomes sustain over time?

Accepted Answer

Initial 10–30 day lifts come from immediate optimization (compression-day capture, comp-set response, segment recovery). Months 2–12 compound as the platform learns property-specific patterns. Multi-year customer cohorts show sustained improvement, not regression - though specific year-over-year deltas vary by market and seasonality.

Question 8

Have there been cases where RevEvolve underperformed?

Accepted Answer

Yes - and we'll surface them transparently in evaluation. Patterns we've documented: (a) properties with limited PMS history (less than 12 months) take longer to reach forecast accuracy targets; (b) restrictive brand mandates may yield ADR-position gains rather than RevPAR gains; (c) properties with material non-room revenue (resorts, F&B-heavy properties) see the full benefit only when the multi-revenue integration is enabled.

Segment	Headline metric	Net revenue uplift	Time recovery	Implementation
Independent hotels	+13.7% RevPAR	+18–22%	8 → 25 min Sunday workflow	12–14 days
Chain properties	+8.2% ADR position	+12–15%	n/a	21–30 days
Boutique hotels	+11–14% TRevPAR	+14–17%	Variable	14–21 days
Resorts	+11.8% TRevPAR	+13–16%	22 hrs/week eliminated	21–45 days
Multi-property portfolios	+9–12% TRevPAR	Varies	3× leverage per RM seat	21–45 days
Management companies	Varies	Varies	18 hrs/week per GM	30–60 days

Real hotels. Real outcomes. Documented in the field.

Filter by segment or outcome - find the story that fits.

Comfort Inn Festus

Hyatt Place Chicago Itasca

Pacific Revenue Management

EMA Hospitality

RM Copilot vs human revenue managers

By-segment ranges - across the 200+ property base.

Talk to a current customer - 5–7 business days.

Procurement questions, answered.

Bring a metric you can't explain - we'll show you the same workflow.