Six features, one product. Dynamic pricing, competitor benchmarking, compliance monitoring, booking-window optimization, revenue reporting, and double-booking prevention — all connected to Airbnb, Vrbo, and the PMS tools you already use.
The rate engine ingests trailing-12-month reservation data for each listing, local event calendars within a 15-mile radius — concerts, sports events, conventions — school-year patterns, and real-time competitor rate samples from public Airbnb and Vrbo search results. It outputs a daily price recommendation for each listing for the next 90 nights.
Your configured minimum floor, maximum ceiling, and manual override dates are always respected. Recommendations push to the platform calendar via the Airbnb and Vrbo APIs by 6 a.m. local time — so prices are live before guests begin their morning search.
Define up to 30 comparable listings by neighborhood radius, bedroom count, and amenity filters. Strpricely samples those listings’ displayed rates twice daily and charts them against yours in a neighborhood-rate heatmap with 30-day history per comparable.
When the comparables median drops more than 20% below your current rate, Strpricely flags the gap and suggests an adjustment. The 30-day history lets you distinguish a genuine market dip from a single-listing promotional price.
Permit requirements, occupancy-tax rates, and night-cap ordinances vary by municipality and change with short notice — especially in Miami-Dade, Nashville, and Austin. Strpricely monitors municipal government RSS feeds, Airbnb host-policy update emails, and Vrbo listing-policy notifications for every jurisdiction where you have a listing.
When a rule change is detected, the compliance alert queue surfaces the effective date, the required action — renew permit, update tax rate, reduce maximum-stay limit — and a direct link to the source ordinance. Operators in markets with pending changes see a countdown flag on affected listings.
Every STR listing has a characteristic booking-window pattern — some fill primarily 2–3 weeks out, others pull last-minute same-week bookings. Strpricely models each listing’s historical lead-time distribution and adjusts pricing curves accordingly.
Listings that rarely book more than 10 days out receive steeper last-minute discounts to reduce vacancy. Listings that consistently attract 30-plus-day advance bookings get a premium on far-out dates. The window profile updates quarterly using rolling 12-month data.
Each Monday, Strpricely emails a one-page revenue digest showing last week’s realized revenue per listing against the model’s optimal pricing scenario, broken down by night. Nights where a manual override or availability block caused a gap are itemized so you can decide whether that trade-off was worth it.
The digest also surfaces the top three upcoming high-demand dates in the next 30 days where the model is pricing at least 30% above your current rate — giving you time to review and confirm before the booking window opens.
Listing on Airbnb and Vrbo simultaneously means double-booking risk when a same-night reservation confirms on one platform before the other updates. Strpricely maintains a unified availability layer and pushes a blocking update to all connected platforms within 90 seconds of a confirmed reservation on any channel.
If calendar sync latency is detected — platform API response exceeds 120 seconds — Strpricely marks the affected dates as tentative and sends an alert before a second booking can confirm. No more guest conflicts and damage-control calls.
Strpricely plugs into the tools you already use — Airbnb, Vrbo, Guesty, Hostaway, Lodgify, and Google Calendar — so there is no manual data entry and no separate dashboard to maintain.
Authorize Strpricely via OAuth on Airbnb and Vrbo, then select your property-management system. Strpricely pulls your reservation history and calendar availability. Most operators complete setup in under 20 minutes.
Define your minimum price floor, maximum ceiling, blackout dates, and any listings you want to exclude from automatic updates. Strpricely works strictly within the boundaries you set — adjust them any time.
Within 24 hours, each listing has a 90-day pricing curve. Rates update every morning using fresh demand signals, competitor samples, and event data. You see exactly what changed and why in the pricing log.
Every Monday: realized vs. optimal revenue per listing, top upcoming high-demand dates, and any pending ordinance changes for your markets — all in one email and dashboard view.