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Maximize RevPAB

Revenue Management & Dynamic Pricing

Optimize every bed's revenue with dynamic pricing, demand forecasting, competitor rate tracking, yield analytics, and automated rate adjustments. Stop leaving money on the table.

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Driving 15%+ revenue uplift for operators across Europe and Asia-Pacific

The Challenge

Static Pricing Is Costing You Thousands

Same rate year-round. No response to demand changes. Competitors adjusting prices while you stay flat. Every empty bed at the wrong price is revenue lost forever.

Flat Rate Pricing

Same price regardless of season, demand, or occupancy level. Peak-season revenue left on the table.

No Competitor Visibility

No idea what similar properties charge. Pricing decisions based on gut feeling, not data.

Slow Adjustments

Rate changes require manual updates across listings, portals, and contracts. Takes days, should take seconds.

One-Size-Fits-All

Same pricing logic for short stays, mid-term, and long-term. No optimization by stay type.

No Yield Metrics

Can't measure RevPAB, ADR, or yield by room type. No way to know which inventory is underperforming.

Spreadsheet Forecasting

Revenue forecasts built manually from historical data. No predictive models, no scenario planning.

Dynamic Pricing Engine

Automatically adjust rates based on occupancy, demand patterns, seasonality, and day of week. Set boundaries and let the algorithm optimize within your rules.

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Automated rate adjustments based on occupancy thresholds and demand signals
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Seasonal pricing with configurable peak, shoulder, and off-peak periods
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Day-of-week pricing variations for short-stay and flexible accommodation
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Minimum and maximum rate boundaries to protect brand positioning
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Rate rules per room type, floor, view, amenities, and property
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A/B testing for pricing strategies with conversion tracking
Revenue Analytics
OctNovDecJanFebMar

PriceLabs & Revenue Tool Integration

Connect to PriceLabs, FLYR, and other revenue management tools for algorithmic pricing powered by market data, competitor rates, and demand forecasting.

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PriceLabs integration for AI-powered rate recommendations
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FLYR integration for advanced revenue optimization algorithms
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Competitor rate monitoring from OTA listings and market data feeds
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Demand-based pricing adjusting rates as occupancy approaches targets
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Market-level pricing intelligence with comparable property benchmarking
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Automated rate push to all connected channels and booking engine
Revenue KPIs
£48k
MRR
94%
Occ.
£923
Avg Rent

Hybrid Pricing by Stay Type

Different pricing strategies for different stay types on the same inventory. Nightly rates for short stays, weekly for mid-term, monthly for long-term -- all optimized independently.

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Stay-type pricing tiers: nightly, weekly, monthly, academic term, and custom
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Length-of-stay discounts: automatic rate reduction for longer commitments
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Minimum stay requirements configurable by season, room type, and property
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Early bird discounts and last-minute pricing for gap filling
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Corporate rate agreements with negotiated pricing per partner
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Promotional pricing campaigns with start/end dates and usage limits
Pricing Tiers
NameUnitStatus
Single Room£650-750High Demand
Double Ensuite£850-950Moderate
Studio Premium£1,100-1,300Low Supply

Revenue Analytics & Dashboards

Track RevPAB, ADR, occupancy, yield, and revenue mix across your entire portfolio. Compare properties, room types, channels, and time periods at a glance.

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RevPAB (Revenue Per Available Bed) tracking across properties and room types
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ADR (Average Daily Rate) analytics with trend visualization
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Occupancy vs. revenue optimization: find the sweet spot for each property
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Channel revenue mix: direct vs. OTA vs. corporate vs. partner breakdown
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Room-type performance league tables ranking by yield and occupancy
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Portfolio-level revenue dashboards with drill-down to individual units
Revenue Report
Rent income£42,500.00
Ancillary services£3,200.00
Parking & storage£1,800.00
Total£47,500.00

Revenue Forecasting & Scenario Planning

Predict future revenue using historical patterns, booking velocity, and market trends. Run scenarios to test pricing strategies before deploying them.

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AI-powered revenue forecasting based on historical data and booking velocity
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Seasonal pattern recognition for demand prediction and pricing optimization
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Scenario planning: model "what if" pricing changes before going live
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Booking pace analysis: compare current bookings to historical pace by date range
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Cancellation and no-show prediction to adjust overbooking strategies
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Budget vs. actual revenue tracking with variance alerts
Pricing Rules
Dynamic pricing
Seasonal adjustments
Long-stay discount
Early bird discount
Last-minute pricing

Void & Gap Optimization

Identify and fill revenue gaps between long stays. Automatically enable short-stay pricing for gap periods, push to OTAs, and maximize revenue from every night.

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Automatic gap detection between lease end and next booking start
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Short-stay rate activation for gap periods with OTA channel push
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Gap night revenue tracking: incremental revenue captured from void filling
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Minimum gap threshold: only activate for gaps above configurable length
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Void reduction analytics: track improvement from gap-filling strategies
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Integration with channel manager for automatic availability push during gaps
Revenue by Property
Sunrise Coliving
£18.5k/mo
↑ 8%
Urban Hub
£22.3k/mo
↑ 5%
The Commons
£12.1k/mo
↑ 12%

Stop Leaving Revenue on the Table

See how dynamic pricing and yield analytics drive 15%+ revenue uplift for operators.

Book a Demo See How It Works

15%

Average revenue uplift with dynamic pricing

72%

Reduction in void periods with gap filling

3x

ROI on revenue management investment

$0

Spreadsheet forecasting -- replaced by AI

"Dynamic pricing was the single biggest revenue driver we implemented. RevPAB increased 18% in the first quarter, and gap-filling brought in an extra $45K annually that we were leaving on the table."

Revenue Manager

European Flex Living Brand, 1,200+ beds

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Works With These Modules

Payments & Rent

Dynamic rates flow into automated invoicing and payment collection.

Learn more →

Inventory & Occupancy

Occupancy data feeds the pricing engine for demand-based adjustments.

Learn more →

Listing Website

Optimized rates displayed on listing pages and booking engine.

Learn more →

Popular Use Cases

This module is used by operators across these property types.

Flex Living Serviced Apartments Coliving
FAQ

Frequently Asked Questions

You set rules (boundaries, seasons, occupancy thresholds) and the engine automatically adjusts rates within those rules. As occupancy rises, rates increase. During low-demand periods, rates adjust to fill beds. You control the strategy; the system executes it.

PriceLabs and FLYR are pre-built integrations. Custom integrations available via API for other revenue management platforms.

Yes. Set separate pricing strategies for nightly, weekly, monthly, and academic-term stays on the same inventory. Each tier can have its own dynamic pricing rules.

The system detects gaps between long-stay bookings and automatically enables short-stay pricing for those periods. Rates are pushed to connected OTA channels to capture bookings. You set minimum gap length and pricing rules.

RevPAB, ADR, occupancy rate, yield, channel revenue mix, booking velocity, void rate, and more. All available at portfolio, property, and room-type levels with trend visualization.

Yes. AI-powered forecasting uses historical patterns, current booking pace, and market trends to predict future revenue. Scenario planning lets you model pricing changes before deploying them.

Ready to Optimize Your Revenue?

Book a demo and see how operators increase RevPAB by 15% with dynamic pricing and yield management.

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