Holiday Let Booking Pace and Lead Time: When Should Hosts React to Empty Dates?

Holiday Let Booking Pace and Lead Time: When Should Hosts React to Empty Dates?

An empty holiday-let calendar is not automatically a pricing problem.

Hosts should normally react when dates have entered the property’s usual booking window and bookings are building more slowly than a fair comparison suggests, not simply because the calendar looks empty several months ahead.

Before reducing prices, compare:

• how many days remain before check-in
• how far ahead guests normally book this property and season
• how much occupancy and revenue were on the books at the same point last year
• whether the local market is also booking slowly
• whether the dates are genuinely available and bookable
• the property’s current total guest price, stay restrictions and listing position
• recent booking pickup, not just total bookings

There is no universal rule that a host should discount 30, 60 or 90 days before arrival. A large family house for an August school-holiday week may book many months ahead. A one-bedroom city property or an off-season coastal stay may receive a large share of reservations much closer to arrival.

The correct question is not:

“Why is this date still empty?”

It is:

“At this number of days before arrival, is this date booking normally for this property, season and market?”

This guide explains how booking lead time, booking pace, pickup and on-the-books data help answer that question, and how to respond without discounting too early or waiting too long.

What Does Booking Lead Time Mean?

Booking lead time is the number of days between the date a reservation is made and the guest’s check-in date.

Booking lead time = check-in date − booking creation date

If a guest books on 1 March and checks in on 31 May, the booking lead time is 91 days.

Lead time describes when guests commit, not how long they stay. It is different from:

• length of stay: the number of nights in the reservation
• booking window: sometimes used as another term for lead time, although it may also describe the range of dates open for booking
• minimum advance notice: the host’s rule preventing very late reservations
• advance availability: how far into the future guests can book

Average or Median Lead Time?

Both can be useful, but the median is often easier to interpret when a few reservations are made unusually far in advance.

The median is the middle booking lead time after all reservations are placed in order. Half the bookings were made further ahead and half closer to arrival.

For example, if most bookings arrive between 20 and 60 days before check-in but one Christmas reservation is made 330 days ahead, that single booking can pull the average upwards. The median is less affected by the outlier.

Do not rely only on one average or median. Review the distribution as well:

• What proportion arrives more than 180 days ahead?
• What proportion arrives 90–179 days ahead?
• What proportion arrives 30–89 days ahead?
• What proportion arrives 7–29 days ahead?
• What proportion arrives within the final week?

This reveals whether the property has one dominant booking window or several different guest behaviours.

Lead Time Can Change by Month, Stay Type and Guest

A single annual lead-time figure can hide important differences.

Lead time may vary by:

• peak, shoulder and quiet seasons
• school holidays
• Christmas and New Year
• local events
• weekends and weekdays
• property size
• family, group, couple or business travel
• domestic and international guests
• booking channel
• short and long stays
• refundable and non-refundable terms

A host should therefore compare August with previous August booking patterns, not with the property’s February average.

What Do “Booking Pace” and “On the Books” Mean?

Booking pace describes how reservations, occupied nights or revenue accumulate as the stay date approaches.

“On the books” means reservations or revenue already confirmed for a future stay period at a stated point in time.

For example:

• on 1 February, a property may have £2,400 of accommodation revenue on the books for August
• by 1 April, August may have £4,100 on the books
• by 1 June, it may have £5,300
• by the end of August, final realised accommodation revenue may be £6,000

Those snapshots form part of the booking pace.

What Is Booking Pickup?

Pickup is the new booking activity added during a recent period.

Depending on the report, it may measure:

• new reservations
• newly booked nights
• additional occupancy
• new revenue

For a simple host-managed report:

Seven-day occupied-night pickup = occupied nights on the books today − occupied nights on the books seven days ago

The same method can be used for 14-day, 28-day or monthly pickup.

Pickup gives movement to the snapshot. Two months may both be 40% occupied, but one may have gained six nights during the past fortnight while the other gained none.

What Is a Booking Curve?

A booking curve shows how occupancy, revenue or another measure builds as the number of days before arrival decreases.

The horizontal axis normally shows lead time, perhaps from 365 days before arrival to the stay date. The vertical axis shows occupancy, booked nights, revenue, ADR or RevPAR.

A curve helps reveal:

• when bookings normally begin
• when the fastest pickup usually occurs
• whether the current year is ahead or behind
• whether the market books earlier or later than the property
• whether pace slows after a pricing or restriction change

Booking pace is not another profitability measure. It is a forward-looking timing measure. For the full definitions of occupancy, ADR and RevPAR, see Holiday Rental KPIs: Occupancy, ADR, RevPAR & Margin.

Why Earlier Bookings Can Exaggerate Apparent Demand

More bookings on the books early in the cycle do not always mean more final demand.

They may mean that the same guests, or the same total number of guests are booking earlier.

Imagine that last year a stay month finished with 100 booked nights. At 180 days before arrival, 20 nights were already booked.

This year, 24 nights are booked at the same point. Early pace is 20% ahead:

(24 − 20) ÷ 20 × 100 = 20% ahead

If guests have shifted towards earlier booking, later pickup may be weaker. The month could still finish with approximately 100 booked nights rather than 120.

That is why early pace and final realised demand must not be treated as identical.

A Current Example But Not a UK Benchmark

AirDNA reported that US stays from January to July 2026 were pacing 8.4% ahead of the previous year at 180 days before arrival but finished only 1.3% ahead. Its analysis connected the difference with longer booking lead times and a smaller share of last-minute bookings.

This is useful evidence of the analytical risk: a change in booking timing can exaggerate early year-on-year pace.

It should not be applied as a UK holiday-let benchmark. The figures cover a different country and market. UK hosts should test the same principle using their own property and relevant local data.

Earlier Pace Can Be Caused by Several Things

Early bookings may rise because:

• guests expect limited peak-season supply
• an event was announced earlier
• a promotion encouraged advance bookings
• the host opened the calendar earlier
• cancellation terms became more flexible
• a new channel brought bookings sooner
• repeat guests booked their usual dates earlier
• guest planning behaviour changed

Some of these indicate stronger demand. Others mainly shift the timing.

The host should watch whether later pickup remains healthy before concluding that the property can support a substantial price increase.

How to Compare This Year With Last Year Correctly

The correct comparison is pace versus pace at the same lead time.

Do not compare today’s incomplete forward bookings with last year’s final result and conclude that the current year is underperforming.

If August is 40% occupied today and finished at 82% last year, that does not mean it is 42 percentage points behind. The fair comparison is August occupancy today versus the occupancy already on the books at the same number of days before last August.

Keep last year’s final result as a separate reference.

Use Three Distinct Comparisons

Match the Stay Dates

Compare the same stay period or a genuinely equivalent one.

Pay particular attention to moving dates such as:

• Easter
• school holidays
• bank-holiday weekends
• festivals and sporting events
• local university dates

Official UK data illustrates the problem clearly. Easter bank holidays fell partly in March in 2024 but in April in 2025. ONS data showed a year-on-year fall for March and a substantial rise for April, while the two months combined produced a much more stable comparison.

If demand-driving dates move, compare event with event or combine the affected periods rather than treating calendar months as perfectly equivalent.

Match the “As Of” Point

Compare both years at the same days-before-arrival point.

For a stay starting 15 August:

• compare current bookings 120 days before 15 August with last year’s bookings 120 days before the equivalent stay date
• do not compare the current snapshot taken 120 days out with last year’s snapshot taken 75 days out

Booking-curve tools may perform this alignment automatically. In a spreadsheet, save regular dated snapshots so the comparison remains possible.

Match Availability

If the property has 25 available nights this year and 31 last year, raw booked-night totals are not directly comparable.

Review both:

• booked nights
• occupancy based on genuine available nights

Also record owner stays, maintenance closures and other blocks consistently. Do not count a blocked date as evidence of guest demand.

Match the Property and Distribution Conditions

Document changes such as:

• bedroom or guest capacity
• a new hot tub, parking space or other major amenity
• professional photographs
• review score and review volume
• a new booking channel
• changed cancellation terms
• changed minimum stays
• a period when the listing was paused or unavailable

If the offer or distribution changed materially, last year remains useful but is no longer a pure like-for-like benchmark.

Match the Metric Definition

Revenue reports may include different combinations of nightly charges, cleaning fees, other fees, taxes and channel deductions.

Compare the same measure in both years. Practical Editions normally recommends using accommodation revenue for ADR and showing other booking income separately.

When Is an Empty Calendar Not a Warning?

Empty dates may be entirely normal when:

• they sit outside the usual booking window
• the property historically fills close to arrival
• the dates are in a quieter seasonal period
• the local market is pacing similarly
• the calendar was opened later than usual
• a large group property receives fewer but longer-lead reservations
• the apparent gap is between two existing bookings and cannot yet accept the likely stay pattern
• comparable dates also remained empty at this point last year
• the property has enough high-value bookings that occupancy is intentionally lower

An empty calendar is not a performance measure by itself. Ten unbooked nights six months ahead mean something different from ten unbooked nights seven days ahead.

Use the Property’s Lead-Time Distribution

Suppose a property’s completed reservations show:

• 25% booked within 14 days of arrival
• median lead time of 45 days
• 75% booked within 90 days of arrival

This means only 25% of its bookings normally arrive more than 90 days ahead. A substantially empty calendar four months out may therefore be normal.

Once dates move inside 90 days, comparison becomes more informative. Inside 45 days, the host should expect approximately half the eventual bookings to have arrived under similar historical conditions. Inside 14 days, the remaining unsold inventory is firmly in the property’s normal last-minute window.

These figures are illustrative. Calculate the distribution for the actual property, season and stay type.

When Does an Empty Calendar Become a Warning?

Concern becomes more reasonable when several signals agree:

• the dates are inside the property’s normal booking window
• occupancy or revenue is behind the same point last year
• recent pickup is weaker than normal
• the property is behind its approved monthly target
• the relevant local market is pacing normally or ahead
• comparable properties are priced more competitively on a total-price basis
• the property has restrictions that exclude likely stays
• conversion, views or enquiries have weakened
• an important peak period remains unusually open

One signal should prompt a check. Several aligned signals justify action.

A Practical Reaction Framework

The time bands should be defined from the property’s evidence, not copied from a generic industry rule.

The closer the date, the more perishable the unsold night becomes. But the lowest possible price is not automatically the best decision. A one-night booking may create cleaning, linen, platform and operational costs that outweigh the revenue.

What Should Hosts Review Before Discounting?

Price is only one reason a date remains empty.

1. Is the Date Actually Bookable?

Check:

• the calendar is open on every relevant channel
• calendar synchronisation has not created a block
• the maximum advance window includes the date
• minimum advance notice is not preventing the booking
• check-in and check-out days are permitted
• preparation time is not blocking adjacent nights

2. Are Stay Restrictions Blocking Likely Demand?

Review:

• minimum stay
• maximum stay
• fixed arrival day
• fixed departure day
• orphan-gap rules
• closed-to-arrival or closed-to-departure settings
• same-day turnover restrictions

A four-night gap cannot be booked by a guest searching for three nights if the minimum stay remains five.

Relaxing a restriction may protect the nightly rate better than applying a broad discount.

3. Is the Total Guest Price Competitive?

Guests judge the total price, not only the nightly rate.

Compare equivalent stays with relevant competitors, including:

• nightly accommodation price
• cleaning fee
• mandatory host charges
• discounts
• taxes where visible
• platform guest fees where applicable

A competitive nightly rate can still produce an unattractive total for a short stay.

4. Is the Comparison Set Relevant?

Compare the property with accommodation that genuinely competes for the same guest.

Match:

• exact area
• property type
• bedroom and guest capacity
• quality and amenities
• review strength
• parking, outdoor space and pet policy
• target guest and stay pattern

The cheapest listing nearby may not be the closest competitor.

5. Is the Listing Converting Interest?

Where platform data is available, review:

• search impressions
• listing views
• saves or wish lists
• enquiries
• booking conversion

Low visibility and weak conversion are different problems.

If few guests see the listing, review distribution, availability and search positioning. If many view but few book, investigate the offer, photographs, reviews, rules and total price.

6. Have Demand Drivers Changed?

Check:

• event dates
• school holidays
• transport disruption
• local closures
• weather-sensitive demand
• new competing supply
• changes in traveller origin or guest segment

Do not assume last year’s event or demand pattern repeats on the same dates.

7. Is Current ADR Protecting Revenue?

If occupancy is behind but booked ADR is well ahead, the property may still be on track for revenue or RevPAR.

Do not reduce price based on occupancy alone. Read occupancy, ADR, RevPAR and target progress together.

8. Are Cancellations Distorting Pace?

Track gross pickup and cancellations separately where possible.

Five new booked nights and four cancelled nights produce net pickup of only one night. Looking only at the net result can hide active demand and a cancellation problem; looking only at new bookings can overstate secured business.

9. Would the Booking Be Profitable?

Before filling a small gap, estimate:

• platform and payment fees
• cleaning and laundry
• guest supplies
• utilities
• management costs
• additional travel or coordination

An occupied night is not automatically a profitable night.

Why UK Holiday Lets Need Their Own Seasonal Evidence

UK holiday letting is not one uniform market.

Official ONS data for short-term lets booked through Airbnb, Booking.com and Expedia Group shows pronounced seasonality. From July 2024 to June 2025, August accounted for the highest share of UK guest nights and January the lowest. Cornwall’s August 2024 guest nights were ten times its January 2025 level.

That national evidence establishes that season matters, but it does not provide one booking window for every UK host.

Booking behaviour may differ between:

• Cornwall and central London
• the Lake District and Edinburgh
• seaside cottages and city apartments
• couple retreats and large group houses
• summer family holidays and winter weekend breaks
• domestic and international guests

Guest type matters too. Sykes reported an average 2025 lead time of 117 days for adult groups in its booking data, while solo travellers booked around 40 days ahead. Those figures describe that company’s customers and inventory; they illustrate segmentation rather than a universal national standard.

Build a UK Property-Specific Evidence Base

For each property, separate at least:

• peak summer
• Christmas and New Year
• Easter and school holidays
• bank-holiday weekends
• shoulder months
• quiet winter periods
• material local events

Then review lead time by:

• month or season
• weekend and weekday stays
• guest segment where known
• length of stay
• channel
• property or property type

A UK host should use international data to understand analytical concepts, but local and property-level evidence should determine the decision.

A Simple Weekly Booking-Pace Review

Choose the same day each week so the snapshots are comparable. The review can be completed in 20–30 minutes for a small portfolio once the records are organised.

Step 1: Confirm the Review Horizon

Review the next 90 days in detail and the following 91–180 days at a higher level. Extend the horizon for properties with long lead times, large-group demand or major peak periods.

Step 2: Check Genuine Availability

Confirm open, booked, owner-blocked and maintenance nights. Correct accidental blocks and synchronisation issues before interpreting pace.

Step 3: Record the Current Snapshot

For each relevant week or stay month, record:

• available nights
• booked nights
• occupancy on the books
• accommodation revenue on the books
• booked ADR
• on-the-books RevPAR
• average or median lead time where available

Step 4: Calculate Recent Pickup

Record seven-day and, where helpful, 28-day pickup for:

• reservations
• occupied nights
• accommodation revenue

Record cancellations separately.

Step 5: Compare Like With Like

Compare the same stay dates at the same lead time with:

• last year’s pace
• the approved monthly target
• the latest forecast
• an equivalent earlier period if last year was abnormal

Step 6: Check the Market

If reliable market data is available, compare the same dates with a relevant local market or competitive set.

Ask:

• Is the whole market behind?
• Is only this property behind?
• Is market ADR holding?
• Has market supply changed?
• Are competitors more or less restricted?

Step 7: Diagnose Before Acting

Review availability, restrictions, total price, listing quality, demand drivers and cancellations.

Step 8: Choose One Proportionate Action

Possible actions include:

• no change; continue monitoring
• correct a calendar error
• relax a minimum stay for specific gaps
• open an arrival day
• adjust the price for selected dates
• create a channel-appropriate promotion
• improve the listing presentation
• increase visibility on a relevant channel
• hold price because pace and revenue remain healthy

Avoid changing several variables at once unless the situation is urgent. Otherwise, it becomes difficult to learn which action worked.

Step 9: Record the Decision

Record:

• date reviewed
• evidence observed
• action taken
• dates affected
• intended outcome
• next review date

Weekly Review Table

These figures are illustrative, not benchmarks.

For the wider month-end decision process, see How to Review Your Holiday Rental Performance Every Month.

A Worked Example: Should the Host Discount?

A two-bedroom coastal holiday let has a seven-night August period with only three nights booked 60 days before arrival.

At first glance, four empty nights during peak summer appear concerning.

The host reviews the evidence:

The evidence shows that the property is behind its own pace while the market is not. However, price is not the only issue: the four-night minimum stay makes the remaining pattern difficult to book.

A proportionate response would be to:

1. reduce the minimum stay selectively where a three-night booking fits;
2. retain the stronger weekend rate initially;
3. bring the total price for the weaker remaining dates closer to the relevant competitive set if pickup does not resume;
4. review again after seven days.

An immediate discount across every August date would reduce revenue on dates that may still sell at the current rate and would not correct the stay-pattern restriction.

Common Mistakes With Forward-Booking Data

Comparing On-the-Books Results With Last Year’s Final Result

This makes the current year appear behind simply because bookings are incomplete.

Comparing Different Lead Times

A snapshot 120 days before arrival cannot be fairly compared with one taken 60 days before arrival.

Treating Early Pace as Final Demand

Guests may have shifted when they book without changing how many stays are eventually taken.

Using One Annual Lead-Time Average

This can hide major differences between summer, winter, events and guest segments.

Ignoring Cancellations

Gross bookings may look healthy while confirmed net occupancy remains weak.

Ignoring Availability Changes

Owner blocks, maintenance closures and changed advance availability alter the denominator and the opportunity to receive bookings.

Reading Occupancy Without ADR or Revenue

Being ahead in occupancy may result from selling too cheaply. Being behind in occupancy may still produce stronger revenue.

Discounting Before Checking Restrictions

The property may be unbookable for the stay guests want, irrespective of price.

Comparing Against an Irrelevant Market Average

A regional average may combine different locations, property types, capacities and guest markets.

Reacting to Small Numbers

Moving from one booking to two is a 100% increase, but the sample remains small. Use booked nights, revenue and wider context alongside percentages.

Changing Several Settings at Once

If the host changes price, minimum stay, photographs and cancellation terms together, the effect of each decision cannot be assessed.

Failing to Save Historical Snapshots

Without dated forward snapshots, the host may know last year’s final result but not how it looked at the equivalent point before arrival.

When Should Market Data Influence Pricing Decisions?

Market data is most useful when it helps separate a property problem from a broader demand pattern.

Market Behind; Property in Line

If both the market and property are pacing behind, the cause may be wider demand, changed lead times, increased supply or an event-calendar difference.

Consider market-informed adjustments, but check whether competitors are discounting profitably rather than copying them automatically.

Market Healthy; Property Behind

Investigate the property:

• total price
• restrictions
• listing conversion
• reviews
• availability
• channel visibility
• amenities and positioning

This pattern may justify a property-specific change.

Market Behind; Property Ahead

Avoid discounting merely because a market report looks soft. The property may be outperforming and able to protect its price.

Market and Property Ahead

Strong pace may support holding or increasing selected rates, particularly for scarce peak dates. Check whether the apparent lead is a timing shift before assuming final demand will rise by the same amount.

Check the Data Definition

Before acting, understand:

• whether blocked nights are removed from market availability
• whether revenue includes cleaning or other fees
• whether the figures cover Airbnb only or several channels
• how often the data refreshes
• whether occupancy is adjusted
• how the competitive set is chosen
• whether current supply differs from last year

Market data is evidence, not an instruction. It should influence a pricing decision only when the dates, market, property type and metrics are sufficiently comparable.

A Practical Decision Checklist

Before reacting to empty dates, ask:

• How many days remain before arrival?
• What is the median and distribution of lead times for this season?
• What was on the books at the same lead time last year?
• What is the seven-day and 28-day pickup?
• Have cancellations offset new bookings?
• Are these dates genuinely open and bookable?
• Do minimum stays or arrival rules block likely searches?
• Is the total guest price competitive?
• Are occupancy, ADR, revenue and RevPAR all behind—or only one measure?
• Is the local market also behind?
• Are the competitive properties genuinely comparable?
• Has an event, school holiday or demand period moved?
• Would a discounted booking remain worthwhile after variable costs?
• What is the smallest targeted change that addresses the evidence?
• When will the result be reviewed?

React to Evidence, Not the Appearance of the Calendar

Empty dates become meaningful only when viewed in relation to time.

A host does not need to panic because August looks open in January if the property’s guests usually book in spring. Equally, a host should not wait passively when peak dates are inside the normal booking window, pickup has stalled, the market is healthy and a restrictive rule is preventing likely stays.

The most useful sequence is:

confirm availability → identify normal lead time → compare pace at the same point → review pickup and cancellations → check market context → diagnose price and restrictions → take one proportionate action → review the result

The Holiday Rental Profit & Performance System helps hosts record bookings, stay dates, revenue, availability and monthly performance. It is not a dynamic-pricing or live market-data tool, but it provides the organised property records needed to compare forward bookings with later monthly results.

Explore more guidance for organised holiday-let operations in the Property Management Resource Hub.

Frequently Asked Questions

What is booking lead time for a holiday let?

Booking lead time is the number of days between the date a guest makes a reservation and the check-in date. It should be analysed by season, stay type and property rather than treated as one universal annual figure.

What does “on the books” mean?

It means bookings, occupied nights or revenue already confirmed for a future stay period as of a particular date. Always state the “as of” date because the figures change as new bookings and cancellations occur.

What is booking pace?

Booking pace is the rate at which future reservations, occupied nights or revenue accumulate as the stay date approaches. It can be compared with the same lead time last year, a target or a relevant market.

What is booking pickup?

Pickup is the new booking activity added during a recent period, such as the past seven or 28 days. It may be measured in reservations, nights, occupancy or revenue. Confirm how the report defines it.

How far in advance should a holiday let be booked?

There is no universal answer. Large group houses and peak school-holiday stays may book far ahead, while small properties, city breaks and off-season stays may book closer to arrival. Use the property’s own lead-time distribution and relevant local evidence.

When should a host worry about empty dates?

Investigate when dates are inside the normal booking window and pace or pickup is behind a fair comparison. Concern is stronger when the market is healthy but the property is lagging, or when price, restrictions or listing performance present a clear problem.

Should I lower the price when bookings slow down?

Not automatically. Check availability, minimum stays, arrival rules, total price, listing conversion, cancellations and market pace first. A targeted price adjustment may be appropriate after the cause is understood.

How do I compare booking pace with last year?

Compare equivalent stay dates at the same number of days before arrival. Use the same availability and metric definitions, and record last year’s final result separately. Adjust for moving holidays, events, property changes and altered distribution.

Why might early pace look strong but final demand remain ordinary?

Guests may be making the same eventual number of bookings earlier. Promotions, event announcements, changed cancellation terms or an earlier calendar opening can also shift timing without producing equivalent growth in final demand.

Should UK hosts use US booking-window benchmarks?

US evidence can explain concepts, but it should not determine the timing of a UK pricing decision. UK hosts need property-level and local seasonal evidence because destinations, property types and guest segments behave differently.

Is average lead time enough?

No. Review the median and the distribution across lead-time bands. A small number of very early bookings can distort the average.

How often should booking pace be reviewed?

A weekly review is practical for dates inside the main booking window. Dates further ahead can be reviewed less intensively unless they include an important event or peak period. Use the same review day and save each snapshot.

Can a property be behind in occupancy but ahead in revenue?

Yes. A property may have fewer booked nights at a higher ADR. Review occupancy, ADR, revenue and RevPAR together before changing the price.

What should a host do if the market is booking normally but their property is not?

Check the property’s total price, availability, stay restrictions, listing quality, review position and channel visibility. The evidence points more towards a property-level issue than a broad demand slowdown.

What should a host do if the whole market is behind?

Confirm that the data and competitive set are relevant, then review pricing and restrictions in the context of wider demand. Do not assume every competitor’s price reduction is profitable or appropriate for the property.

Disclaimer

This article provides general operational information for holiday rental hosts and property managers. It does not provide financial, investment, accounting, tax, legal or pricing guarantees. Booking behaviour, demand and market data can change, and no adjustment guarantees occupancy or revenue. Hosts remain responsible for their pricing, availability, contractual, regulatory and financial decisions.

Sources

• Office for National Statistics: Short-term lets through online collaborative economy platforms, UK—July 2024 to June 2025 — official UK seasonality, national and local-authority variation, and moving Easter effects.
• AirDNA: Booking Lead Times 2026—Why Pacing Overstates Demand — evidence that a change in lead-time distribution can make early pace overstate final realised demand; US evidence is clearly labelled as such in the article.
• AirDNA Help Centre: How Do I Analyse Future Bookings? — forward demand, booking timing and recent booking windows.
• PriceLabs Help Centre: Portfolio Analytics—Pacing Reports — same-point year-on-year pacing, final prior-year comparison and market overlays.
• PriceLabs Help Centre: Market Dashboards—Booking Curves — market booking curves and pricing, availability and restriction decisions.
• PriceLabs Help Centre: Portfolio Analytics Terminology — booking creation dates, pickup and reporting-definition cautions.
• Sykes Holiday Cottages: How Different Holiday Let Guests Are Booking in 2026 — illustrative UK operator data showing different lead times by guest segment.