Airbnb Occupancy Pacing 2026: 3 Charts That Reveal Real Event Demand

What This Means

Occupancy pacing is a lie detector for event demand.

The chart separates what hosts believe will happen from what guests have already done. This distinction matters because belief drives pricing while bookings drive revenue.

Consider the FIFA example from the 2026 World Cup cycle.

News outlets promoted massive booking surges. Hosts responded by raising prices dramatically. The pricing chart showed a wide distribution of rates, suggesting strong demand. But the occupancy chart told a different story.

Today's booking line for FIFA dates tracked below last year's line for the same calendar days.

Last year had no FIFA event. If FIFA truly drove demand, today's line should sit above last year's line. Instead, the data showed less booking activity for those dates than a normal year.

This pattern reveals that event hype does not automatically translate into guest behavior.

Some FIFA bookings occurred, but not at the volume hosts expected. Meanwhile, other events like college football games and music festivals drove far more actual bookings on the platform.

The occupancy pacing chart gives you an information advantage.

Most hosts never scroll down to check it. They set prices based on the pricing chart alone. You can see what guests are actually doing and price accordingly.

This advantage compounds during major events. When most hosts overprice based on hype, their properties become irrelevant. They price themselves out of the market. Your correctly priced property captures the bookings they lose.

Why It Matters

Occupancy pacing directly affects your revenue decisions. The comparison between last year and today tells you whether to raise prices, hold steady, or discount. Guessing wrong on this decision costs you hundreds of dollars per booking.

The 2026 market saw a massive increase in property quantity. More hosts entered the space than ever before. But quantity alone does not tell the full story. The quality of new properties also increased substantially.

New hosts brought stylish furniture, professional photography, and better amenities. These properties compete directly with established listings. When guests browse Airbnb, they see all options side by side with prices attached to each title card.

A $4,000 per night luxury property will beat a regular four-bedroom with IKEA furniture at the same price every time. The homeowner who lives in and cares for the property wins. The occupancy chart shows this dynamic playing out in real time.

PriceLabs took the expansion of host prices as an indicator of projected higher ADR demand. This assumption created what analysts call source bias. Hosts who did not manually raise prices got pushed up by the software anyway. Passive hosts moved out of the right price bracket without making any decision.

The occupancy chart reveals this mistake. When today's booking line falls below last year's line, the pricing software's assumptions are wrong. You can profit from this error by pricing based on actual demand rather than predictive models.

How It Works

The occupancy pacing chart contains three distinct lines. Each line represents a different data point. Understanding these lines is the foundation of using the chart effectively.

The dotted line shows trailing last year final occupancy. This line goes up and down as it tracks what occupancy actually was when everything settled. Yesterday has a final occupancy because all bookings are known. Next week does not yet have a final occupancy because bookings can still arrive.

Two solid lines appear below the dotted line. One is gray and one is red. The gray line shows last year's occupancy for the same future date, measured at this same point in time. The red line shows today's current occupancy for that future date.

These three data points map out everything you need for pricing decisions. If last year's final occupancy was 75% and last year's same-day occupancy was 50%, you know the booking pace. If today's occupancy is only 45%, demand is tracking below last year.

The comparison becomes powerful during events. When media says FIFA is coming and bookings will surge, check the red line. If today's occupancy sits below the gray line, there is currently less booking demand than last year. Last year had no FIFA.

For many FIFA dates, the behavior matched last year or performed worse. A few days did better than normal, showing some FIFA booking activity. But the overall pattern did not match the hype. Other events drove far more traffic to the platform.

This analysis works because occupancy pacing measures actual guest behavior. Guests book when they are ready. They do not book because news outlets predict a surge. The chart shows what guests have already done, not what they might do.

Step-by-Step Procedure

Reading the occupancy pacing chart requires a systematic approach. Follow these steps to extract the information you need for pricing decisions.

Once you have identified all three lines, compare them systematically. Start with the dotted line to establish the baseline. Last year's final occupancy tells you what was achievable under normal conditions.

Next, compare the gray line to the red line. The gray line shows where bookings stood last year at this same point. The red line shows where bookings stand today. The gap between these lines reveals whether demand is accelerating or decelerating.

When the red line sits above the gray line, bookings are ahead of last year's pace. This situation supports higher prices. When the red line sits below the gray line, bookings are behind last year's pace. This situation requires caution with pricing.

This procedure works for any event, not just FIFA. Apply it to concerts, conferences, festivals, and sporting events. The chart reveals whether guests are actually booking for these dates or just talking about them.

Remember that a wider price distribution means more competition has the wrong price. When many hosts overprice, they become irrelevant. Your correctly priced property captures their lost bookings. This dynamic allows you to raise prices slightly even when overall demand is flat.

Decision Criteria

Use the occupancy pacing chart to make specific pricing decisions. The comparison between lines determines your strategy. Different patterns require different responses.

The chart also helps you decide how ambitious to be with pricing. When demand is genuinely strong, you can push rates higher. When demand is weak, aggressive pricing makes your property irrelevant.

Consider the relevant supply calculation. Once a property gets booked, it prices itself out of being relevant. Properties that are too expensive or too ugly also become irrelevant. The remaining competition shrinks as bookings accumulate.

This dynamic creates a delicate game. You want other properties to get booked first. Each booking removes a competitor from the market. With fewer good options available, you can command a slightly higher price.

The occupancy chart tells you how many competitors are likely to get booked before your target date. When the red line trails last year, fewer properties will fill up. More competition remains available, limiting your pricing power.

Common Mistakes to Avoid

Hosts make predictable errors when reading occupancy pacing data. These mistakes cost revenue and create false confidence. Avoid them to maintain your competitive edge.

The first mistake is ignoring the occupancy chart entirely. Many hosts focus exclusively on pricing data. They see competitors raising rates and follow along. This behavior creates a bubble that bursts when actual bookings fail to materialize.

The second mistake is confusing event hype with actual demand. News coverage does not equal bookings. The occupancy chart reveals what guests are actually doing. Trust the data over the headlines.

The third mistake is assuming pricing software knows best. PriceLabs and similar tools use cooperative modeling. They assume guests will follow hosts when prices rise. The occupancy chart proves this assumption wrong during major events.

The fourth mistake is pricing too aggressively when demand is weak. When the red line trails last year, aggressive pricing makes your property irrelevant. You price yourself out of the market and lose bookings you could have captured.

The fifth mistake is ignoring the quality competition. New hosts entered the market with better properties. They have stylish furniture and professional photos. Your property must compete on quality, not just price.

Hold the price longer than you think you should, but only when the occupancy chart confirms demand. Discount harder than you think you should, but only when the red line trails last year.

These mistakes compound during major events. The combination of event hype, aggressive pricing, and cooperative software creates a perfect storm. Hosts who read the occupancy chart avoid this trap and profit from the confusion.

Seasonal Rhythm Adjustments

Your city has its own busy and slow months. The pacing chart from last year shows that rhythm. You need to learn it before you compare any two weeks. A slow week in January is normal in most markets. A slow week in July might signal a real problem. Start by marking the high and low weeks on last year’s chart. Then look at this year’s line against those same weeks. The shape of the curve matters more than any single day. A dip that matches last year is likely seasonal. A dip that does not match last year is a new event. Use this knowledge to set your pricing and cleaning schedules.

Look for the turning points in the year. Last year’s chart will show when bookings started to rise in spring. It will also show when bookings started to fall after the summer peak. These turning points are your early warning signs. If this year’s line turns up later than last year, you need to adjust. You might lower your price for a week or two. You might also open more days for check-in. The same logic works for the fall slow-down. When you see the turn coming, you can plan for lower demand. You can also avoid buying new supplies too early. This simple calendar check keeps your decisions grounded in real data.

Weekly Shape Patterns

Most cities have a weekly booking pattern. Business travelers book Sunday through Thursday nights. Leisure travelers book Friday and Saturday nights. Last year’s chart will show these patterns clearly. Look at the pacing line for a full week, not just one day. You should see a rise in the middle of the week. Then you should see a second rise at the weekend. When you compare to last year, check these same weekly shapes. If the weekend peak is missing this year, something has changed. Maybe a big event moved to another week. Maybe a new hotel took your weekend guests. The weekly shape tells you which part of your market is weak.

Compare the same week this year to the same week last year. Do not compare a Tuesday to a Saturday. That is not a fair test. Instead, look at the seven-day average for each week. Then look at the high and low days inside that week. If the average is down but the shape is the same, your market is softer. If the shape is different, your guest mix may have changed. For example, a flat line across the week means you lost the weekend spike. That points to leisure guests staying away. A flat line on weekdays means business travel is down. Use this shape check to decide what to fix. You cannot fix a market-wide trend, but you can change your own listing to attract a different group.

Holiday Shifts and Local Events

Holidays move each year. Easter can fall in March or April. Ramadan shifts about ten days earlier each year. These moving dates change your pacing chart. A holiday that fell in week 12 last year may fall in week 14 this year. Your chart will look different even if your bookings are fine. You need to shift last year’s line by the same number of days. For example, if Easter is two weeks later this year, move last year’s chart forward two weeks. Then compare those two shifted weeks. This method removes the holiday effect. Without this shift, you might think demand is low. In truth, demand is just happening later.

Local events also move or change from year to year. A music festival may grow in size. A sports game may change its date. A conference may move to a new city. Last year’s chart cannot predict these changes. You need to check the event calendar for your city. Look for any event that overlaps your comparison weeks. If an event is new this year, expect a rise in bookings. If an event was cancelled, expect a fall. Write these event dates on your chart. Then look at what happened during those dates last year. This gives you a fair baseline. Your final decision should always consider both the calendar shift and the event change. That is the only way to read last year’s data correctly.

Lead Time and Booking Window Analysis

Your pacing chart shows how far ahead guests book. This is called the booking window. Last year, guests may have booked 30 to 45 days out. This year, they may book only 10 to 20 days out. A shorter window is common in many markets. It means guests are waiting until the last moment. Your pacing line will look low early in the window. Then it will jump up close to the stay date. This does not mean your listing is bad. It means your guests have changed their habits. You need to adjust how you read the chart. Do not panic when the line is low two weeks out. Instead, compare the same point in last year’s window. That tells you if the change is real or just a shift in timing.

Track the average booking lead time each month. You can see this in your hosting platform’s data. Write it next to your pacing chart. Then compare the current lead time to the same month last year. A drop of five days is common in many markets. A drop of fifteen days is a big change. That change affects your pricing strategy. With a short window, you need to attract last-minute guests. You may lower your price for the next week only. You may also allow one-night stays. With a long window, you can keep your price steady. You can also set a minimum stay of three nights. Your pacing chart is only useful when you pair it with lead time data. Use both together to make a smart call.

Reading Early vs. Late Bookings

Look at how full your calendar was one month out last year. Then look at this year’s same point. This early view tells you about confident travelers. These guests plan ahead and compare many listings. If early bookings are down, your listing may be losing to competitors. Check your photos and your price for those weeks. Maybe a new listing has a better location. Maybe your price is too high for the early window. You can fix this by running a small discount for early bookers. Some hosts offer ten percent off for stays booked 30 days ahead. That can pull in the planners. But do not cut your price for all guests. A targeted early-bird discount keeps your base rate steady.

Late bookings are a different story. These guests book within one week of arrival. They are often less picky about the exact room. They just need a place that is still open. If your late bookings are strong, your listing is visible in search. If they are weak, you may have a pricing or review problem. Compare the share of late bookings this year to last year. A rise from 20 percent to 35 percent is a real shift. That shift means guests are waiting longer to decide. You can accept this change or push against it. To push against it, offer a small discount for stays booked one week out. To accept it, keep your calendar open and your cleaning slots flexible. Either way, you need to know your current booking window before you act.

How to Compare Booking Windows Fairly

Never compare a booking window from a holiday week to a normal week. Holiday weeks book much further ahead. Last year’s holiday week may have booked 60 days out. This year’s same holiday may book only 30 days out. That is a large gap. But it may be caused by a change in the holiday date. Always line up the exact holiday date, not the week number. Then compare the booking curves. If the shape is similar but shifted, you are fine. If the shape is flatter, demand is weaker. This method works for local events too. A big concert should show a clear rise in bookings. If that rise does not appear, your event demand is lower. Use this same shift technique for every moving date.

Create a simple table for your own use. List the last six months from last year in one column. List the same six months this year in a second column. Write the average lead time for each month. Then write the pacing number for the same month. This table helps you spot the trend quickly. If lead time is shrinking every month, that is a pattern. If it only shrank in one month, that is a one-off event. A one-off event may be caused by weather or a news story. A pattern means a lasting change in traveler behavior. For a lasting change, you need a new strategy. That could mean lower prices, shorter stays, or better last-minute photos. For a one-off event, you simply wait for the next month. The table turns your guesswork into a clear comparison.

When to Adjust Your Minimum Stay

Your minimum stay setting should match your booking window. If guests book late, they often want short stays. A three-night minimum will scare them away. Last year, a seven-night minimum may have worked for summer. This year, guests may only want three or four nights. Watch your pacing chart for a pattern. When the line stays flat near the stay date, your minimum is too high. You need to lower it to two nights. When the line fills up quickly for long stays, your minimum can stay high. The chart will show you which way the wind blows. Change one thing at a time. First lower your minimum for a single week. Then watch the chart for that week. If bookings rise, you have fixed the problem.

You can also change your minimum stay based on the day of the week. Many hosts allow one night on a Sunday through Wednesday. Then they set a two-night minimum for Friday and Saturday. This mix lets you capture last-minute weekday guests. It also protects your higher-value weekend nights. Look at last year’s chart to see which days filled first. If Fridays always filled early, keep a high Saturday price. If Sundays often stayed empty, allow a one-night Sunday stay. This kind of fine tuning is simple. It does not require any math beyond your own chart. Just match your rules to the actual booking pattern from last year. Then check the pacing line each week to see if the new rules work.

Price Positioning Against Last Year’s Line

Your pacing chart shows how many days are booked. It does not show the price you charged. You need to look at both together. A booking rate that is 20 percent lower may be fine if your price is 20 percent higher. This is called price positioning. Last year you may have charged 120 dollars per night. This year you may charge 150 dollars. Your pacing line will look lower at the higher price. That is not a sign of failure. It is a trade-off between volume and income. You need to decide which you want. For most hosts, the goal is total revenue, not the highest occupancy. A lower occupancy rate with a higher price can earn more money. So always compare your pacing chart to your average nightly rate.

When the pacing line dips, first check your price relative to last year. If your price went up, the dip may be your own doing. Guests are choosing cheaper options. You can lower your price to match last year’s level. Or you can keep the price and accept fewer bookings. There is no single right answer. It depends on your costs and your goals. A simple test is to look at your total revenue for the week. Multiply the booked nights by your average rate. Do this for this year and last year. If this year’s total is higher, you are fine. If it is lower, you need to adjust. Use the pacing chart to see how much room you have. A small drop in bookings with a big price rise can still mean more money.

Marketplace Supply and Demand Shifts

Last year’s pacing chart reflects a certain number of listings in your area. This year, that number may be different. New hosts join the platform all the time. Other hosts leave or switch to long-term rentals. This change affects your booking pace directly. More listings mean more competition for the same guests. Your pacing line will drop even if total demand stays the same. Fewer listings mean less competition. Your line may rise without any extra marketing from you. You need to know which way your market is moving. Check the number of active listings in your area each month. Write that number on your chart. Then you can see if your pacing changed because of the market or because of your own actions.

You can also look at the average price in your neighborhood. If other hosts are lowering their prices, your line will drop. Guests will choose cheaper options first. If others are raising prices, your line may rise. You can see this trend in your platform’s search results. Just search for your dates and count how many listings show a lower price. Compare that to the same search last month. This is a simple check that takes five minutes. Use it to decide if your price is still fair. A price that was fair last year may be too high this year. A price that was low last year may now be too low for a busier market. Your pacing chart gives you the first clue. Your competitor check gives you the second clue. Together, they give you a clear pricing move.

Leading Indicators From Booking Pace

The pacing chart is a lagging indicator. It shows what has already happened. To plan ahead, you need leading indicators. These are early signals that predict future bookings. One strong signal is the rate of new inquiries. If inquiries are up this week, bookings will likely rise in two weeks. Another signal is the number of views on your listing. More views usually turn into more bookings. Compare these signals to last year’s same week. If last year’s views were high and bookings followed, you know the pattern. This year, check if the same pattern is starting. A small rise in views is not a guarantee. But it is a useful early sign. Write these numbers next to your pacing chart for a full view.

Another signal is the speed of your first booking for each open day. Look at a specific date on your calendar. Ask when the first reservation came in for that date. If last year the first booking came 30 days out, and this year it comes 15 days out, demand is weaker. This is true even if the final booking rate ends the same. The slower start means guests are less eager. They are comparing more options. They may also be waiting for a price drop. You can test this by lowering your price slightly for an unbooked week. Then watch how fast the first booking arrives. If it arrives quickly, price was the issue. If it stays slow, demand is the issue. This simple test tells you what to change next.

Competitor Benchmarking Within Your Segment

Your pacing chart compares to last year. But it does not compare to your neighbors. You need both views to make a good plan. A drop from last year may be normal for your whole city. Or it may be unique to your listing. The way to know is to check a few similar listings. Look for places with the same bedroom count and general location. Then look at their calendar on the booking site. If most of them are empty for the same dates, the problem is the market. If they are full and yours is empty, the problem is your listing. This simple check takes five minutes. It gives you a second benchmark beyond last year.

Use the pricing tools on the booking platform to see live prices. Many platforms show a price range for nearby listings. Compare your price to that range. If you are at the top, you may be pricing yourself out. If you are at the bottom, you may be leaving money on the table. But do not change your price every day. That makes it hard for guests to trust you. Instead, pick a position based on your reviews and quality. A new listing with few reviews should price below the middle. A well-reviewed listing can price above the middle. Your pacing chart tells you if the price is working. If bookings are slow at your current price, lower it slightly. If bookings are strong, try a small increase. Test one change at a time and watch the chart.

Identifying Real vs. Apparent Drops

A real drop means fewer guests want your city or your listing. An apparent drop means the chart looks lower but the reason is benign. For example, last year you had a minimum stay of two nights. This year you raised it to three nights. Your pacing line will drop because there are fewer possible arrivals. That is not a demand problem. It is a policy change you made. The same thing happens if you close certain days for cleaning. Fewer open days mean a lower pacing line. You must compare your chart only when your settings are the same. If you changed any rule, mark that on the chart. Then you can see the real effect of the market. Do not confuse your own actions with market shifts.

Using Local Market Data

Your city may publish tourism numbers each month. That data shows hotel occupancy rates. It also shows visitor counts. Compare your pacing line to those numbers. If hotel occupancy is up but your bookings are down, your listing is the problem. If hotel occupancy is down and your bookings are down, the whole market is soft. This comparison is simple and free. Most tourism boards post this data online. You do not need a paid service. Just take ten minutes each month to look. Write the hotel rate next to your pacing number. Over three months, a clear pattern will appear. That pattern tells you where the problem lies. It also tells you if you should wait for a market recovery or act on your own.

You can also check how many similar listings are unbooked on your dates. Open your app and search for your dates as a guest. Count the results that are still available. Do this for the same night last week. If that number is growing, supply is growing faster than demand. That pushes prices down across your area. You can respond by lowering your price or adding a discount. But do not drop too far. A race to the bottom helps no one. Instead, watch the number of unbooked nights over two weeks. If it stays high, the market is flooded. If it drops, demand is picking up. This simple count takes two minutes. It gives you direct evidence for your pricing decision. Use it with your pacing chart to see the full picture.

Seasonal Averages vs. Daily Peaks

Your pacing chart shows daily bookings. It can be hard to see the big picture. A weekly average smooths out the daily noise. Compute the average occupancy for each week last year. Then compute the same for this year. Compare the two weekly lines. This removes the effect of a single slow Tuesday. It also removes the effect of one great Saturday. What remains is the true trend. For example, last year’s week 20 may have averaged 60 percent. This year’s week 20 may average 55 percent. That five-point gap is your real change. You can then decide if that change matters. A five-point drop in a quiet month is less important than in a busy month. Use your weekly averages to set your priorities for the next month.

Do not forget to look at the weekends separately. Many hosts see a stable weekly average. But the mix may have changed. Maybe last year you filled Friday and Saturday. This year you only fill Saturday. That is a real shift even if your total nights look the same. Check your pacing chart for each day of the week. Compare last year’s Friday line to this year’s Friday line. Do the same for Sunday and Monday. This takes a little extra time. But it shows you exactly which night is weak. You can then target that night with a special offer. For example, a Sunday night discount can pull in weekend guests who want to extend their stay. A Thursday discount can attract business travelers who arrive early. Small changes to one night can lift your whole week.

Decision Triggers and Action Rules

A pacing chart is only useful if it leads to action. You need clear rules for when to change your price or your listing. These rules are called decision triggers. For example, if your booking pace is 15 percent below last year’s line for five days, you should act. A simple rule like this removes guesswork. It also stops you from overreacting to one slow day. Write your own triggers based on your market. Start with a small test. Lower your price by ten percent for one week. Watch the pacing line for that week. If bookings rise, the price was the cause. If bookings stay flat, the problem is elsewhere. This test is cheap and fast. You can run it every month.

Your triggers should have clear actions. For example, if your pace is ten percent behind last year, you might add a weekend discount. If it is twenty percent behind, you might lower your base price. If it is thirty percent behind, you might change your listing photos. Write these rules down. Then you will not panic when you see a slow chart. You will follow your plan. This is how professional operators work. They do not react to one week of data. They wait for a clear signal. Then they make one change at a time. After a week, they check the chart again. If the change worked, they keep it. If not, they try another small change. This steady method beats random price cuts every time.

Your rules should also cover the opposite case. A pacing line above last year is not always good news. It may mean you are underpriced. You could be leaving money on the table. If your chart shows strong early bookings, test a higher price. Raise your price by five percent for the next booked week. Watch if new bookings still come in. If they do, your price can go higher. If they stop, you have found your ceiling. This is a low-risk test because you can always lower the price again. Keep a record of each test. Write down the date, the price, and the booking rate. Over a few tests, you will learn the true value of your listing. That knowledge is worth more than any single booking.

Setting Your Own Trigger Points

You need custom rules for your own listing. Last year’s pacing gives you a baseline. This year’s pacing gives you the current reality. Decide now what difference will make you act. For example, if your booking rate is ten percent behind last year, you will lower your price. If it is five percent ahead, you will raise your price. These simple rules remove emotion from your decisions. You do not need to think each day. You just check the chart and follow your rule. This saves time and keeps you calm. Write your rules on a note next to your computer. Review them once a month. Adjust them only when the market clearly changes. This method is simple and works for most hosts.

Your action rules should also cover price changes. Decide in advance how much to cut. A ten percent cut is a common first step. It is large enough to attract new guests. It is small enough to keep your revenue steady. If the cut does not raise bookings within three days, look at other factors. Check your photos and your title. Check your cancellation policy. Check your response time to inquiries. A slow response can kill a booking. Many guests message several hosts at once. The first host to reply often gets the booking. So your action rule may be about speed, not price. Keep a simple list of changes you can make quickly. Then use your pacing chart to pick the right one. This turns a confusing chart into a clear plan.

Setting Your Own Alert Bands

Every market has its own normal range. Your chart may bounce up and down every day. That noise is not a signal. You need to set an alert band around your normal pace. For example, if your pace is usually 60 percent booked three weeks out, set a band from 50 to 70 percent. Only act when the line moves outside that band. This stops you from overreacting to a single slow Tuesday. It also helps you catch a real trend early. If the line sits below 50 for four straight days, that is a signal. The same is true if it jumps above 70 for several days. Your band may be wider in slow months. It may be tighter in busy months. Set the band based on last year’s actual ups and downs. Use the same months from last year to build your band.

Once you set your band, check it twice a week. Pick two fixed days, like Monday and Thursday. Look at your pacing chart on those days. Write down the number. Then compare that number to your band. If you are inside the band, do nothing. If you are outside, use your action rules. This simple habit takes five minutes. It prevents both panic and denial. You will not change your price on a whim. You will also not ignore a real drop for two weeks. The band gives you a steady, calm view of your business. Over a season, you can see if your band should move. For example, a new highway or event center may raise the normal pace. Your band should move with it. This way your rules stay useful all year.

Frequently Asked Questions

Final Recommendation

The occupancy pacing chart is your most reliable tool for event demand analysis. It separates actual guest behavior from host expectations. This distinction protects your revenue during hype-driven events.

Start using the chart today. Open your pricing dashboard and scroll down to the occupancy section. Compare the red line against the gray line for your upcoming event dates. Let the data guide your pricing decisions.

Most hosts will continue to rely on pricing software and event hype. They will overprice and become irrelevant. You can capture their lost bookings by pricing based on actual demand signals.

The 2026 FIFA cycle demonstrated this pattern clearly. Hosts who read the occupancy chart saw weaker demand than expected. They priced accordingly and captured bookings. Hosts who trusted the hype lost out.

Your competitive advantage comes from information. The occupancy chart provides information that most hosts ignore. Use it to make smarter pricing decisions and maximize your revenue.

Check your occupancy pacing data before you set prices for any upcoming event. Compare today's bookings against last year's pace. Adjust your strategy based on what guests are actually doing, not what you hope they will do.

If you want help applying this guide to your operation, Book a strategy session.