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Forward-looking revenue models for your entire portfolio. Scenario planning, budget targets, and occupancy forecasts — built on the same pricing intelligence that powers your day-to-day rate decisions.
PMs set annual budgets based on last year’s numbers and gut feel. No forward-looking models, no scenario comparison, no real-time tracking of budget-to-actual performance.
Revenue surprises — both good and bad — are the norm. Owners ask for forecasts PMs can’t deliver. And when the market shifts mid-year, there’s no tool to model the impact before it hits the P&L.
The Problem
Property managers are expected to deliver accurate forecasts to owners, lenders, and investors — using tools that were never built for the job.
Most PMs build next year’s budget by copying last year’s numbers and applying a flat growth percentage. No market data, no demand signals, no seasonality modeling. It works until it doesn’t — which is most years.
What happens if ADR drops 10%? If occupancy shifts from 72% to 65%? PMs can’t model scenarios because their tools don’t support it. Decisions get made on instinct, not analysis.
Sophisticated owners — especially investors and multi-property holders — expect data-driven revenue forecasts. PMs either underpromise to manage expectations or overpromise and damage trust.
When PMs track budget performance at all, it’s a monthly spreadsheet exercise. By the time variance is identified, it’s too late to course-correct. Real-time deviation alerts don’t exist.
How It Works
Start with data you already have, layer on market signals, and build toward a forecasting engine that gets smarter with every booking cycle.
Pull revenue, occupancy, and ADR data per property from the PMS. Normalize seasonal patterns, identify high/low periods, and build baseline revenue curves for each property and the portfolio.
Apply seasonal adjustment, growth trends, and market-level signals to historical baselines. Output: monthly revenue, occupancy, and ADR forecasts per property and at the portfolio level.
Three forecast lanes per property: optimistic (market tailwinds), baseline (current trajectory), and conservative (market headwinds). PMs choose which to present to owners — or show all three.
Generate branded forecast reports owners can share with lenders, accountants, or investment partners. Professional formatting, clear visualizations, and Pacer-branded credibility layer.
Success criteria: PMs replace spreadsheet budgets with data-driven forecasts within 30 days of onboarding
Live comparison of forecast vs. actual revenue per property and portfolio-wide. Variance alerts trigger when a property drifts beyond configurable thresholds — before month-end surprises.
Layer in event calendars, competitor pricing trends, booking pace data, and seasonal demand shifts. Forecasts auto-adjust as market conditions change — no manual model updates required.
Interactive tool for PMs to model specific scenarios: “What if I raise rates 8% in Q3?” or “What if occupancy drops 5 points next month?” Instant forecast recalculation with revenue impact summary.
Aggregate forecasts across the full portfolio with one-click drill-down to market, client, or individual property. Executive-level view for PM leadership — property-level detail for operations.
Outcome: Forecasts update weekly with live market data — PMs stop reacting and start anticipating
As the dataset grows across hundreds of properties, forecasts move from statistical baselines to machine-learning models trained on actual PM portfolio performance. Accuracy improves with every cycle.
Anonymous, aggregated comparisons: “Your Gulf Shores portfolio forecasts 8% below the network average for Q3.” PMs see where they’re outperforming and where they’re leaving money on the table.
Direct API for lenders and investment groups to pull forecast data on properties they finance. Pacer becomes the trusted data layer between PMs and capital providers — a new distribution channel.
Outcome: Pacer’s forecast data becomes the industry standard for short-term rental revenue planning
Key Goals
Every feature exists to answer one question: “What will this portfolio earn in the next 12 months — and what levers can I pull to change it?”
Pacer generates forward-looking revenue models per property using historical performance, seasonal patterns, and market-level demand signals. Updated weekly — no spreadsheets, no manual data entry.
Three forecast lanes for every property. PMs present owners with data-backed ranges instead of single-point estimates. Interactive what-if builder lets you model rate changes, occupancy shifts, and market events in real time.
Live comparison of forecast vs. actual revenue. Configurable threshold alerts fire when a property drifts off-budget — before month-end reporting reveals the gap. Course-correct in real time, not after the fact.
Branded PDF reports with professional visualizations. Owners share with lenders, accountants, and investment partners. Pacer-branded credibility layer elevates PM professionalism and builds owner trust.
Aggregate forecasts across all properties with drill-down by market, client, or unit type. Network benchmarks show how your portfolio compares to peers — identifying upside you’re not capturing.
Revenue Model
Simple, predictable pricing. No percentage of revenue, no surprise fees. The more properties you manage, the lower your per-unit cost.
Forecast accuracy isn’t a nice-to-have — it’s a competitive moat. PMs who can show owners data-driven forecasts win more contracts than those who can’t.
Pacer · Revenue Forecasting Tool
Design Principles
Every design decision optimizes for one thing: forecast accuracy that PMs trust enough to share with owners, lenders, and investors.
Forecasts built on historical performance, market signals, and booking pace — never flat-rate assumptions or last year’s copy-paste.
Every report is formatted for external audiences. PMs never need to “clean up” data before sharing with owners or lenders.
Forecasts update weekly with fresh booking and market data. Variance alerts fire the moment a property drifts off-budget — not at month-end.
Roll-ups, drill-downs, and network benchmarks give PM leadership a complete view — from individual property to entire portfolio.
Strategic Value
Pricing tools optimize today’s rates. Forecasting tools model tomorrow’s revenue. No one in the short-term rental ecosystem has built this — Pacer is first.
| Capability | What Pacer Delivers |
|---|---|
| Revenue forecasting | 12-month forward models per property, updated weekly with live data |
| Scenario modeling | Best / base / worst case lanes with interactive what-if builder |
| Budget-to-actual tracking | Real-time variance dashboard with configurable alert thresholds |
| Owner reporting | Branded PDF forecasts — professional, sharable, lender-ready |
| Portfolio analytics | Multi-property roll-ups with drill-down by market, client, or property type |
| Network benchmarking | Anonymous peer comparison across the Pacer PM network by market |
| Competitive moat | Proprietary forecast accuracy data strengthens with every PM onboarded — network effects compound |
Pricing tools tell PMs what to charge tonight. Pacer tells them what they’ll earn this year — and what levers to pull if the answer isn’t good enough.
Pacer · Revenue Forecasting Tool · Category positioning
Revenue Forecasting · Pacer
Data-driven revenue forecasts, scenario modeling, and budget tracking — built for property managers who answer to owners, lenders, and investors.
Request Early AccessEarly access beta · jon@pacerrev.com