Smart Dynamic Pricing
AI-powered pricing recommendations that automatically optimize your nightly rates using market data, local events, and booking patterns, now with improved event detection accuracy for more precise revenue forecasts.
Smart Dynamic Pricing
What it does
Smart Dynamic Pricing automatically analyzes your property data, local market conditions, and booking patterns to suggest optimal nightly rates. The system uses advanced machine learning to generate personalized 90-day price recommendations for your listings with active subscriptions, learning from your successful bookings and competitor pricing to recommend rates that maximize your revenue while maintaining healthy occupancy levels.
Getting started
Step 1: Subscribe to Smart Pricing for your listings
- Go to Properties in your dashboard
- Select the property you want to optimize
- Navigate to Pricing → Smart Pricing
- Click "Enable Smart Pricing" to start your $10/month subscription for this listing
- Set your minimum and maximum price boundaries to stay within your comfort zone
- Adjust the last-minute discount aggressiveness slider (0-100) to control how quickly prices drop as dates approach without bookings
- Click **"Save Settings"
[Screenshot: Smart pricing subscription toggle with pricing information and last-minute settings]
Step 2: Configure last-minute discount settings
- In your Smart Pricing Settings, locate the Last-Minute Discounts section
- Use the aggressiveness slider to control automatic price reductions:
- 0: No last-minute discounting (maintain set prices)
- 30 (Default): Gentle price reductions in final weeks
- 100: Maximum discounting to fill empty nights
- Your minimum price acts as a safety floor—prices never drop below this amount
- Preview how the setting affects pricing at different lead times
[Screenshot: Last-minute discount aggressiveness slider with preview chart]
Step 3: Review your baseline data
- Navigate to Properties → [Property Name] → Pricing
- Check that your property details are complete (bedrooms, bathrooms, amenities)
- Verify your cleaning fees and other costs are accurate
- Confirm your property location and market classification
[Screenshot: Property details form with required pricing fields]
Step 4: Set your preferences
- In Pricing Settings, choose your pricing strategy:
- Balanced: Optimizes for both occupancy and revenue
- Revenue-focused: Prioritizes higher rates over occupancy
- Occupancy-focused: Prioritizes bookings over maximum rates
- Set seasonal adjustments if you want different strategies for peak/off-season
- Configure minimum stay requirements for different periods
Step 5: Manage multiple properties
You can enable Smart Pricing individually for each of your properties. This gives you complete control over which listings use automated pricing recommendations—perfect for testing the system on select properties or managing different pricing strategies across your portfolio.
How it works
Per-listing subscription model
Smart Pricing operates on a simple per-listing subscription basis at $10 per property per month. This means you only pay for the properties where you want AI-powered pricing recommendations, giving you complete flexibility to:
- Test automated pricing on select properties while keeping others on manual pricing
- Enable premium features only for your highest-performing listings
- Scale your usage up or down as your portfolio grows or changes
Only properties with active Smart Pricing subscriptions receive AI-generated recommendations, ensuring you're never charged for features you're not using.
Advanced machine learning prioritization
Our system now automatically uses the most accurate pricing model available for each recommendation. When multiple pricing systems generate suggestions for the same date, you'll always see results from our most advanced machine learning technology first, ensuring you get the highest-quality pricing insights available.
Enhanced pricing accuracy and reliability
We've significantly improved how our pricing model validates its recommendations. Instead of using random data sampling that could lead to overly optimistic accuracy estimates, the system now uses time-based validation that mirrors how pricing actually works in the real world. This means:
- More accurate confidence levels: The pricing recommendations you see have been tested against real-world booking patterns, not artificial scenarios
- Better real-world performance: Your pricing suggestions are based on how the model actually performs when forecasting future dates
- Increased reliability: The gap between expected and actual pricing performance has been dramatically reduced
This improvement ensures that the confidence levels you see for each pricing recommendation genuinely reflect how well those suggestions will perform for your property.
Enhanced pricing safety features
We've added several important safety measures to protect your pricing strategy:
- Automatic price clamping: All auto-applied pricing recommendations are automatically kept within your minimum and maximum price boundaries, preventing unexpected price spikes or drops
- Duplicate prevention: The system eliminates conflicting recommendations for the same date, ensuring only one clear price suggestion per day
- Reliable price application: Enhanced tracking ensures that only the prices actually sent to you get applied to your calendar, preventing unexpected overrides
These safeguards work automatically in the background, giving you peace of mind that auto-applied pricing will always respect your boundaries and preferences.
Last-minute discount automation
The system now automatically reduces prices as dates approach without bookings, helping you fill empty nights while protecting your revenue floor. This works by:
- Smart timing: Price reductions begin weeks before the date and increase as availability remains
- Controlled discounting: Your aggressiveness setting (0-100) determines how quickly prices fall
- Floor protection: Prices never drop below your minimum rate, no matter how aggressive the setting
- Automatic application: Runs every week alongside regular pricing updates—no manual intervention needed
For example, with the default aggressiveness of 30, a $200 base rate might drop to $192 at 14 days out, $178 at 7 days, and $140 on the day itself—always stopping at your minimum price.
Improved event detection accuracy
We've enhanced our local event tracking to provide more accurate pricing recommendations by eliminating irrelevant events that were previously skewing your revenue forecasts. The system now only considers events that are actually happening near your property, not worldwide events that have no impact on your local market demand.
90-day intelligent forecasting
Once subscribed, the system automatically generates personalized price recommendations for the next 90 days for your enabled properties. These recommendations appear directly in your dashboard and analyze:
- Your booking history: Successful rates and booking patterns from your property
- Local market data: More accurate competitor pricing and availability in your area
- Demand signals: Seasonal trends, local events, and booking velocity
- Property characteristics: Your amenities, guest capacity, and unique features
- Occupancy patterns: Advanced analysis of booking lead times and seasonal demand cycles
- Last-minute opportunities: Automatic price adjustments for approaching dates without bookings
Automatic price recommendations
The machine learning system continuously processes market data to suggest price adjustments for your subscribed properties. Your recommendations respect any custom prices you've manually set, so you stay in control while benefiting from data-driven insights.
Enhanced competitor data accuracy
We've significantly upgraded our pricing intelligence to use more accurate competitor data, which improves the reliability of our price recommendations. This means your pricing suggestions are based on better market insights, leading to more competitive and profitable rate recommendations.
Improved reliability for all market sizes
We've enhanced the pricing engine to process recommendations more consistently across all markets, including smaller destinations. Your pricing data now updates smoothly every week without technical delays, regardless of your property's location or market size.
Weekly intelligence updates
Every Sunday morning, the system automatically updates its pricing intelligence with the latest market insights and booking data. This means your pricing recommendations continuously improve and stay competitive without any effort on your part.
Daily dashboard updates
Every day, you'll see updated pricing recommendations in your dashboard for properties with active subscriptions:
- Go to Calendar → Pricing View to see your 90-day forecast
- Recommended changes appear as green highlights on dates where adjustments are suggested
- Click any highlighted date to see the detailed pricing breakdown, including last-minute adjustments
- Accept individual suggestions or use "Apply All" to update multiple dates
[Screenshot: Calendar view showing 90-day price recommendations with highlighted dates]
Understanding pricing factor explanations
When you view pricing recommendations, you'll see a detailed breakdown of exactly how each factor impacts your nightly rate. This new explanation shows:
- Step-by-step breakdown: See how the system builds your recommended price from a baseline up to the final rate
- Dollar contribution per factor: Each influence (like day of the week, seasonality, or local demand) shows its specific dollar impact
- Visual waterfall view: A clear progression from the starting price through each adjustment to your final recommended rate
- Factor direction indicators: Green arrows (↑) show factors increasing your rate, red arrows (↓) show factors decreasing it
This transparency helps you understand and trust the pricing suggestions, making it easier to decide which recommendations to accept.
[Screenshot: Pricing explanation popover showing waterfall breakdown with dollar amounts]
Smart notifications
You'll receive notifications when:
- Significant market changes suggest price adjustments
- Your rates are notably higher or lower than similar properties
- Local events or seasonal patterns indicate pricing opportunities
- Last-minute discounting is actively reducing prices to fill gaps
Key features
• Enhanced pricing accuracy: Improved validation methods ensure pricing recommendations better reflect real-world performance, giving you more reliable confidence levels and better actual results
• Enhanced pricing safety: Automatic price clamping within your boundaries, duplicate prevention, and reliable application tracking protect your pricing strategy
• Improved event detection: More accurate local event tracking eliminates irrelevant worldwide events that were inflating revenue forecasts, leading to more precise pricing recommendations
• Flexible per-listing subscriptions: Enable Smart Pricing only for the properties where you want automated recommendations at $10/listing/month
• Intelligent last-minute discounting: Automatically reduces prices as dates approach without bookings, with full control over aggressiveness and floor protection
• 90-day intelligent forecasting: Advanced machine learning generates personalized recommendations for the next three months across your subscribed listings
• Enhanced competitor intelligence: More accurate competitor data significantly improves the reliability and competitiveness of price recommendations
• Advanced model prioritization: Automatically prioritizes the most accurate machine learning technology available, ensuring you always get the best pricing insights
• Transparent pricing explanations: See exactly how each factor impacts your rate with dollar amounts and a step-by-step breakdown from baseline to final price
• Market-aware pricing: Automatically factors in local competitor rates and availability
• Self-improving intelligence: Updates every Sunday with fresh market insights and booking patterns
• Reliable processing for all markets: Consistent pricing updates for properties in markets of all sizes, from major cities to smaller destinations
• Seasonal intelligence: Learns your market's peak and off-season patterns
• Event detection: Adjusts for local festivals, conferences, and high-demand periods
• Booking pattern analysis: Uses your successful bookings to refine future recommendations
• Manual price protection: Respects any custom prices you've set while providing data-driven insights for other dates
• Safety boundaries: Never suggests prices outside your set minimum/maximum ranges
• Multiple pricing strategies: Choose the approach that fits your goals
• Historical performance tracking: See how recommended vs. manual pricing performed
Tips & best practices
Managing your Smart Pricing subscriptions
- Start by enabling Smart Pricing on your 1-2 highest-performing properties to test the system
- Compare performance between properties with Smart Pricing enabled vs. those with manual pricing
- Gradually expand to additional properties as you see positive results
- Use the per-listing flexibility to maintain manual control over unique or seasonal properties
Understanding pricing accuracy improvements
- Trust the confidence levels shown with each recommendation—they now reflect real-world performance more accurately
- Pay attention to how consistently the pricing performs against your actual booking results
- The improved validation means you can rely on pricing suggestions with greater confidence
- Use the enhanced accuracy to make more informed decisions about accepting or overriding recommendations
Optimizing last-minute discount settings
- Start conservative: Begin with aggressiveness at 30 (default) and adjust based on your booking results
- High-demand periods: Lower aggressiveness during peak season when bookings come naturally
- Slower periods: Increase aggressiveness during off-season to fill more empty nights
- Premium properties: Use lower aggressiveness (10-20) to protect your luxury positioning
- High-volume properties: Try higher aggressiveness (40-60) to maximize occupancy
- Monitor results: Track whether last-minute bookings increase without cannibalizing regular bookings
Setting effective price boundaries
- Set your minimum price at least 20% above your break-even cost per night
- Set your maximum price based on your market's luxury ceiling (typically 2-3x your base rate)
- Review and adjust boundaries quarterly as your market evolves
- Remember your minimum price protects against excessive last-minute discounting and unexpected price spikes
- Trust the automatic clamping—the system ensures all recommendations stay within your boundaries
Optimizing your property data
- Keep amenity lists current—pools, hot tubs, and parking significantly impact pricing
- Update photos seasonally to reflect your property's best features
- Maintain accurate guest capacity and bedroom counts
Using the 90-day forecast effectively
- Review your full 90-day pricing forecast weekly to spot trends and opportunities
- Use the extended forecast to plan marketing campaigns during predicted low-demand periods
- Set manual prices for known personal use dates, and let the system optimize around them
- Watch for last-minute discount patterns to identify booking velocity issues
Understanding pricing explanations
- Use the detailed factor breakdown to learn what drives pricing in your market
- Look for patterns in which factors consistently increase or decrease your rates
- Pay attention to seasonal factors to better understand your market's demand cycles
- Use the dollar amounts to see which factors have the biggest impact on your revenue
- Trust the step-by-step progression—each factor builds on the previous adjustments
Monitoring performance
- Check your Revenue Dashboard weekly to track pricing effectiveness
- Compare suggested vs. actual booking rates in the Performance tab
- Adjust your pricing strategy if you're consistently above or below occupancy targets
- Monitor how last-minute discounts affect both occupancy and average daily rate
Seasonal strategy
- Use "Revenue-focused" during peak season when demand is high
- Switch to "Balanced" or "Occupancy-focused" during slower periods
- Set different minimum prices for peak vs. off-season periods
- Adjust last-minute aggressiveness seasonally—more conservative during peak times
Common questions
Q: How much does Smart Pricing cost? A: Smart Pricing is $10 per listing per month. You only pay for properties where you've enabled the feature, so you can start with one property and expand as you see results.
Q: Can I enable Smart Pricing for some properties but not others? A: Yes! The per-listing subscription model gives you complete control. You might want to test on your best-performing properties first, or keep unique/seasonal properties on manual pricing while using automation for your standard listings.
Q: How accurate are the pricing recommendations now? A: We've significantly improved pricing accuracy by using time-based validation that mirrors real-world conditions. This means the confidence levels you see genuinely reflect how recommendations will perform, eliminating the gap between expected and actual results that existed with previous testing methods.
Q: How do the new safety features protect my pricing? A: The system now automatically keeps all price recommendations within your minimum and maximum boundaries, eliminates duplicate suggestions for the same date, and ensures only verified prices get applied to your calendar. These safeguards work automatically, so you can trust that auto-applied pricing will always respect your preferences without any unexpected surprises.
Q: How do last-minute discounts work? A: The system automatically reduces prices as dates approach without bookings, starting weeks in advance. You control how aggressive this discounting gets with a simple 0-100 slider. Your minimum price always acts as a floor, so prices never drop below your comfort zone. This helps fill empty nights while protecting your revenue.
Q: Will last-minute discounts hurt my regular booking rates? A: No—the system only applies last-minute discounts to dates that are approaching without bookings. Regular advance bookings continue at your standard rates. The discounting is designed to capture bookings you wouldn't otherwise get, not replace bookings at higher rates.
Q: How often should I accept the pricing recommendations? A: Start by accepting 70-80% of suggestions for the first month, then adjust based on your booking results. With the improved accuracy, you can be more confident that the recommendations will perform as expected.
Q: What do the detailed pricing factor explanations show me? A: The new factor breakdown shows you exactly how each influence impacts your rate with specific dollar amounts. You'll see a step-by-step progression from the baseline price through each factor (like seasonality, day of the week, local demand) to your final recommended rate. This makes it much easier to understand and trust the pricing suggestions.
Q: How has event detection accuracy improved? A: We've fixed an issue where irrelevant events from around the world were being incorrectly associated with your properties and inflating your revenue forecasts. The system now only considers events that are actually happening near your listings, making your pricing predictions significantly more accurate.
Q: How does the system choose which pricing model to use? A: The system automatically prioritizes our most advanced machine learning technology when available, ensuring you always get the most accurate pricing recommendations. When multiple models have analyzed the same date, you'll see results from our most sophisticated system first.
Q: Will Smart Pricing work for brand-new properties? A: Yes, but initially it relies more heavily on market data and similar properties. After 2-3 months of booking history, recommendations become more personalized to your specific property.
Q: Does Smart Pricing work for properties in smaller markets? A: Absolutely. We've specifically improved the system's reliability for smaller destinations and emerging markets. Your pricing recommendations will process consistently every week, regardless of your market size or location.
Q: How has the competitor data accuracy improved? A: We've upgraded our pricing intelligence to use more accurate competitor data sources, which means your price recommendations are based on better market insights. This leads to more competitive and profitable rate suggestions that better reflect real market conditions.
Q: Can I override recommendations for special circumstances? A: Absolutely. You can manually set prices for any date, and the system will learn from your overrides. The 90-day recommendations will respect your manual prices and optimize around them. Use manual pricing for personal use dates, maintenance periods, or special events you know about that the system hasn't detected.
Q: What happens if I have existing bookings when prices change? A: Price changes only apply to future bookings. Existing confirmed reservations are never affected by pricing updates.
Q: How does the 90-day forecast help with planning? A: The extended forecast lets you see seasonal trends and plan ahead for marketing, maintenance, and personal use. You can spot low-demand periods months in advance and adjust your strategy accordingly.
Q: When do the weekly intelligence updates happen? A: The system automatically refreshes its market intelligence every Sunday morning. You'll notice that pricing recommendations may be updated with fresh insights each week, helping your rates stay competitive with the latest market conditions.