Study

Booking Behaviour Study

How far ahead people reserve, when they abandon a half-built itinerary, and what party size actually travels.

A paper map and travel documents spread on a wooden table

Who it is for

Tour operators, coach companies, and regional carriers who suspect the booking curve on a product is not the curve they staff for.

What you leave with

A study of booking lead times, party composition, channel mix, and cancellation timing, written so a roster planner and a yield lead can both use it.

Scope

One product family or ticket type across a season you name. We do not mix unrelated brands in a single study without an extra reconciliation step.

Included

  • Lead-time distributions by departure month
  • Party-size tables (solo, pair, family, group) against vehicle or cabin capacity
  • A reading of cancellations by days-to-departure
  • Channel notes where your extract distinguishes direct, agent, and onboard sales
  • Written study plus a fifty-minute call

Not included

  • Website heatmaps, advertising spend analysis, or call-centre transcripts
  • Rebuilding a booking website
  • Credit-card fraud review

Who does the work

Systemcraftpoint, Tillypronie.

How the study runs

  1. Agree the product family and the season dates.
  2. Receive the extract and a short interview with whoever handles abandoned baskets if that log exists.
  3. Draft figures; send questions on odd spikes.
  4. Issue the study and hold the call.

What to prepare

Export booked and cancelled records with timestamps. If abandoned baskets live in another system, say whether they can be joined on a session or passenger key.

Limits we will not paper over

Without cancellation timestamps we can describe who booked, not who walked away.

Next step

Name the product and the season you want read.