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Model observed booking behavior to make minimum rate decisions with confidence, not guesswork. One tool. One question answered clearly.
Setting a minimum nightly rate is one of the most consequential pricing decisions a property manager makes. Most PMs guess, or use rules of thumb. There's no way to quantify the tradeoff.
This tool answers one question cleanly: "If we set a minimum rate of $X, how much revenue do we expect to gain or lose?"
The Problem
Most pricing floors are set once and never revisited. The damage is invisible until it isn't.
"Set the floor at $150 for this market" is not a strategy — it's a guess. Without understanding how historical bookings cluster around that number, you have no idea whether you're protecting margin or destroying revenue.
A minimum rate that eliminates 30% of your bookings at a particular length of stay is value-destructive — even if those bookings were "low ADR." Pacer shows you exactly which bookings are at risk and what the net impact is.
When a client asks why revenue dropped after a minrate change, "we thought it would work" isn't an answer. Minrate Impact Analysis gives you output you can explain in plain English — and stand behind in any client meeting.
A value-destructive minrate on 20 units compounds quickly. Unit-level sensitivity scoring lets you identify which properties are most exposed before you commit — and have a plan for owner conversations before revenue moves.
How It Works
No heuristics. No assumed conversion. Every number traces back to what actually happened.
Pacer ingests historical booking data segmented by length of stay (LOS) and booking window. The model captures how bookings actually distribute across rate levels — not how you'd expect them to.
Observed data onlyFor a proposed minimum rate, Pacer calculates Observed Conversion % — the share of historical bookings that occurred at or above that threshold. This is your actual conversion signal, not a modeled estimate.
Real conversion signal Not hypotheticalExpected revenue impact is calculated at unit and portfolio level — showing what you'd gain from rate protection versus what you'd lose from suppressed demand. Probabilistic, not deterministic: never assumes full conversion or full loss.
Unit & portfolio levelCompare Minrate A vs. Minrate B side by side: net revenue impact, which units are most affected, and where risk is concentrated. Run as many scenarios as you need before committing to a floor.
Side-by-side comparisonDashboard Modules
Four purpose-built views — from portfolio summary to unit-level sensitivity — designed for decisions, not exploration.
Your top-line view: tested minimum rate, total historical revenue, expected revenue impact in dollars and percent, share of bookings at risk, and a value indicator — accretive, neutral, or destructive.
Drill into why the outcome looks the way it does. Segment by booking window, length of stay, source channel, and individual unit. Understand the composition of your risk — not just the total.
Per-unit revenue impact and sensitivity score — critical for owner conversations and portfolio pruning decisions. Know before the meeting which properties are most exposed to a floor change.
Compare Minrate A vs. Minrate B head to head: net revenue impact, units most affected, and where risk is concentrated. Make the final call with full visibility into each option's consequences.
Core Principles
Every number in Minrate Impact Analysis can be explained in plain English to an owner, an investor, or a skeptic.
Never assumes 100% conversion or 100% loss. Models the realistic range of outcomes based on observed behavior.
Zero heuristics. Zero assumptions. Every input is drawn from actual historical booking data — what happened, not what should have.
Inline tooltips and plain-language labels on every metric. If a number looks surprising, you can trace exactly where it came from.
Built for the owner conversation. Every figure is sourced, dated, and explained — so you can stand behind the recommendation.
Why It Matters
Minrate Impact Analysis positions Pacer in a category of one — quantitative pricing intelligence for STR operators.
| Strategic Value | What It Means for Your Business |
|---|---|
| Turns pricing into a quantitative decision | Replaces guesswork with defensible analysis |
| Differentiates Pacer from rule-based RMS tools | No RMS on the market models minrate tradeoffs at unit level |
| Creates a pricing intelligence layer | Persistent competitive moat — data compounds over time |
| Directly aligned with acquisition narratives | PMS and pricing platform buyers prize this category of infrastructure |
| Owner conversation enablement | Reduces churn risk from unexplained revenue moves |
| Portfolio-level risk visibility | Identifies value-destructive floors before they cost money |
"Minrate Impact Analysis quantifies the real revenue consequences of minimum pricing by modeling observed booking behavior, allowing operators to avoid value-destructive pricing rules."
One-sentence positioning · Pacer Minrate Impact Analysis
Pricing intelligence for STR operators
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