Integrations/Booking engine
Hotel booking engine analytics

Turn booking-engine searches into dated demand context.
Before you choose the response.

With a configured search event, Booking Engine Search shows searched stay dates, guest count and room type beside dated booking outcomes in four Peaqplus reports.

Included with every Peaqplus subscription, with no separate Peaqplus setup fee. The booking-engine provider or website developer implements the event and may charge for that work.

The commercial gap

Bookings show the outcome.
Search data shows the question before it.

01
Bookings show realised demand

A reservation tells you which demand converted. It does not show the searched stay dates that produced no booking, so the team sees only part of the direct-demand picture.

02
Web analytics serves a different job

Analytics and CRM tools can explain traffic, campaigns and user journeys when configured for them. Booking Engine Search adds a hotel-revenue view of searched stay dates beside pace and booking outcomes; it complements those tools rather than replacing them.

03
A gap starts an investigation

High search volume with low booking activity is a reason to check price, availability, terms, booking experience and channel context. It is not proof that any one factor caused the result.

Event and data scope

One agreed event turns direct searches into date-level context.

01
Configured search event

The booking-engine provider or website developer adds the agreed event. Only searches that trigger the implemented event appear in Peaqplus, so coverage is checked before launch.

02
Agreed fields

The event can pass the property, searched stay dates, guest count and room type. The exact payload and available fields are confirmed for the booking engine and website setup.

03
Three date views

The searched stay range can be analysed by arrival date, stay night or departure date. This makes the same event useful for lead-time, daily-volume and future-date views.

04
Privacy boundary

Peaqplus does not require guest names, email addresses or other contact details for this event. Identifier, cookie and consent requirements still depend on the provider and the hotel’s implementation.

What you see

Four reports turn search events into questions the team can act on.

Lead-time patterns, daily search volume, dated booking context and searched future stay dates. Each view answers a different question without pretending the signal proves why the result happened.

01 · Booking Engine Search Overview

The 12 × 12 lead-time matrix.

Twelve search-month rows by twelve target-month columns. Read across a row to see which stay months appeared in February searches; read down a column to see when searches for an August stay were recorded. The diagonal shows same-month searches, while the off-diagonals reveal the lead-time shape.

  • Switch between arrival, stay-night and departure views using the same integrated event history
  • Compare the current lead-time shape with last year's available search history
  • Put pickup beside search volume to identify dates that deserve investigation, not to assign a cause
app.peaqplus.com/insights/booking-engine
BOOKING ENGINE SEARCH OVERVIEW
Lead-time matrix · stay nights
JFMAMJJASONDJFMAMJJASOND
Mar → Aug · 1,247 searches · +38% vs LY. Summer demand is 5 months out and already running hot.
02 · Booking Engine Search Summary

Daily volume, with the top three most-searched dates.

See the number of integrated searches recorded each day, the three most-searched target dates and the combined share of all other dates. Use it as a quick demand check before the team decides where deeper analysis is needed.

  • Trend chart at the top — daily volume over a chosen range (default: current month)
  • 30-day lookback table — date, total searches, the three most-searched targets
  • An unexpected target-date peak can surface before the same pattern becomes clear in booking pickup
app.peaqplus.com/insights/booking-engine/summary
BOOKING ENGINE SEARCH SUMMARY
Last 30 days · daily volume
71Mar 01Mar 30
Top 1
Aug 23–25
14.2%
Top 2
Jul 12–14
8.7%
Top 3
May 30
6.1%
03 · Booking Engine Top Searches

Searches and dated booking outcomes, side by side.

For each day in the selected range, compare integrated searches with individual bookings, group bookings, total pickup and the reported conversion ratio. This is date-level commercial context; it does not prove that the same visitor booked or that price caused the outcome.

  • Three-axis mixed chart — search-count line, pickup bars (individual + group, stacked), conversion-percent line
  • Discussion threads can keep the question, owner and follow-up beside the relevant row
  • High search with low booking activity prompts a review of rate, availability, terms, UX and channel context
app.peaqplus.com/insights/booking-engine/top-searches
BOOKING ENGINE TOP SEARCHES
Search → booking · last 7 days
0405060708091088025%0%
Searches Individual pickup Group pickup Conversion %
Mar 08 anomaly: 88 searches, 4 bookings · 5% conversion. Pricing or availability question — flag in Discussion.
04 · Daily Search calendar

Searched future stay dates in a 60+ day view.

A calendar view: every cell coloured by search intensity, classified against the previous 30 days' top-five most-searched days. Red is a demand peak. Orange is elevated. Green is a normal day. The classification refreshes daily as patterns shift.

  • Review searched future stay dates across the next 60+ days
  • Hover any cell to see the search count, lead-time, and target-date breakdown
  • Warm dates with low OTB become candidates for a pricing or marketing review, not an automatic action
app.peaqplus.com/insights/booking-engine/daily
DAILY SEARCH
Next 60 days · demand calendar
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Peak
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Peak
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Peak
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High
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High
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High
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Peak
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Peak
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High
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Peak Elevated Normal Quiet
Implementation and privacy

Peaqplus does not require guest contact details for the event.

The agreed event can be limited to the property, searched stay dates, guest count, room type and a technical event or session marker. Peaqplus does not require a guest name or email address. Whether the final implementation uses an identifier or cookie, and which notice, consent or legal basis applies, depends on the booking engine and hotel website setup; the hotel should confirm that with its privacy lead or DPO.

Implementation ownership

Confirm who can add the event before promising a launch date.

A source-agnostic event schema does not mean every booking engine connects automatically. The provider or website developer must implement the event; access, provider approval and the hotel website setup determine the scope and timing, and the third party may charge for its work.

Bring the exact booking engine and website ownership to the demo. We share the event specification and confirm the implementation path before committing to coverage or timing.

FAQ

Common questions.

With a configured integration event, it adds searched stay dates, guest count and room type to four Peaqplus reports: a 12 × 12 lead-time matrix, a daily summary, dated search-to-booking context and a 60+ day calendar of searched future stay dates. It is a direct-demand signal beside booking results, not proof of why a guest did or did not book.
Signal → Decision → Action → Outcome

See the four reports before you involve the provider.

In a 45–60 minute walkthrough, we use a simulated hotel to review the lead-time matrix, daily summary, dated search-to-booking context and future-date calendar. We then map the required event fields, implementation owner and validation steps for your booking engine.

The demo is free. Booking Engine Search is included with every subscription and has no separate Peaqplus setup fee; the provider or developer may charge for implementation.

Not ready for a demo? Start smaller —5-min revenue check →ROI in 4 numbers →