Price Alert Monitor
Get Alerted the Moment an OTA Undercuts Your Direct Booking Rate
Automated rate parity monitoring across Airbnb, VRBO, and Booking.com. Know the second your direct price isn’t the best price — and fix it before you lose the booking.
- 24/7 monitoring across the three OTAs that matter
| Property | Market | BR | Quotes 7d | Checkouts Started | Conversion | Arrival Window |
|---|---|---|---|---|---|---|
| Palmetto Dunes 114 | Hilton Head | 5 | 31 | 9 | 0% | Oct 12 – Oct 19 |
| Sea Pines Cottage 8 | Hilton Head | 4 | 22 | 7 | 4% | Nov 2 – Nov 9 |
| Harbour Town 2B | Hilton Head | 2 | 18 | 4 | 0% | Oct 5 – Oct 10 |
| Folly Field 41 | Folly Beach | 4 | 11 | 5 | 9% | Nov 14 – Nov 21 |
| Shipyard Villa 300 | Hilton Head | 3 | 10 | 3 | 0% | Dec 20 – Dec 27 |
| North Forest Beach 7 | Hilton Head | 6 | 6 | 2 | 33% | Jan 3 – Jan 10 |
| Grand total | 1,842 | 503 | 27% |
Sample data. Your dashboard is built on your own portfolio.
You're Spending Marketing Dollars on the Wrong Properties
Most vacation rental managers make marketing and pricing decisions based on historical data — what booked last year, what’s booked today, what’s sitting empty right now. By the time you see a gap in occupancy, you’re already behind.
Meanwhile, forward-looking demand signals — guest searches, quote requests, checkout initiations — tell a different story. They show you where interest is building before it converts, which properties are getting attention but losing guests at pricing or checkout, and which markets are heating up weeks before bookings materialize.
Without this data, marketing teams spend on properties that would have booked anyway and ignore the ones where targeted spend would actually move the needle.
Last year’s pace, today’s occupancy, tonight’s gaps. Everything that already happened.
Searches, quotes and checkout starts on your own site — weeks before they turn into revenue.
The Demand Predictor flags that pattern the week it happens — not in next month’s report.
How it works
From Reactive to Predictive in One Dashboard
Four steps, all inside the reporting suite you already get with Direct Booking Tools.
How Teams Use Demand Predictor
RMRevenue Managers
Identify pricing issues before they cost bookings. A property getting heavy quote activity but no conversions likely has a rate problem. Adjust proactively instead of discovering the gap in your monthly report.
MDMarketing Directors
Stop promoting properties that are already sold. Focus ad spend, email campaigns, and content on properties where demand is building but hasn’t converted — the highest-ROI marketing opportunity in your portfolio.
PMProperty Managers / Owners
Show owners that you’re not just waiting for bookings to happen. Demand data proves you’re actively monitoring interest in their property and taking action based on real signals.
RTReservations Teams
Know which properties to follow up on. When a property has multiple abandoned checkouts for the same dates, your team can reach out with a targeted offer instead of a generic follow-up.
Works Alongside Your RMS and Channel Manager
The Booking Demand Predictor isn’t a replacement for your revenue management system — it’s the demand layer your RMS doesn’t have.
Tools like PriceLabs, Beyond and Wheelhouse optimize rates based on market comps and historical patterns. Direct Booking Tool’s Demand Predictor adds the forward-looking guest behavior data that tells you what’s happening right now on your site.
Together, they create a closed loop: demand signals inform pricing, pricing changes improve conversion, and conversion data feeds back into the demand model.
Quotes, searches and checkout starts from your own site, property by property.
PriceLabs, Beyond or Wheelhouse move rates against comps and history.
Conversion data returns to the demand model, so next week’s call is sharper.
What Forward-Looking Data Unlocks
Leveraged BI dashboards to identify high-demand / no-booking gaps. Improved booking windows and operational planning. Gross commission revenue up substantially in 9 months.
Used demand data to target marketing spend on properties with highest quote activity. Steady month-over-month growth in direct bookings over 18 months.
Questions Managers Ask Us
It’s real-time data on guest behavior — searches, quote requests, checkout starts — that shows where interest is building before it converts into bookings.
Your PMS shows what already booked. The Demand Predictor shows what’s about to book — or what should be booking but isn’t.
Yes. Data is sortable by location, bedroom count, arrival dates, and custom property attributes.
When a property gets 10+ quotes without converting, the data points to a pricing issue. You can adjust rates before the gap shows up in your occupancy numbers.
Yes. The Demand Predictor complements dynamic pricing tools by adding the guest behavior layer they don’t have.
Act on the rate discrepancies the demand data surfaces.
Convert the demand you’re tracking, on every property page.