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    Analytics++

    Booking Analytics – No-show Patterns

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    Open Analytics++ → Bokningar (Reservations) to follow recorded no-shows. First check booking statuses in Bordsbokning; a guest who has not been marked as a no-show is not included in no-show statistics.

    What the percentage means

    The no-show percentage is recorded no-shows divided by bookings in the period that are not cancelled. Five no-shows among 100 bookings after cancellations are excluded means five percent. No-show-trend shows daily counts, not a percentage curve.

    Occupancy is separate: booked guests divided by shift capacity times days. It is not a minute-by-minute measure of occupied seats. Future bookings in a selected range can affect the data, so compare completed, similar periods when following no-shows.

    Follow up

    1. Choose a period inside booking analytics.
    2. Read the booking count alongside the no-show percentage. A few events can produce a large percentage in a small sample.
    3. Identify days with recorded no-shows and inspect their bookings in Bokning.
    4. Use the guest list to check past visits. Customer values are accumulated history for guests in the period's bookings, not only the period's no-shows.
    5. Open Bordsbokning → Inställningar for available communication and booking settings. Adapt routines to verified causes and review a later, comparable period.

    Read the other charts

    Populäraste bokningstider groups by whole hour and weekday. A cell does not distinguish 19:00 from 19:30. Nya vs återkommande uses a customer's first booking day within the range, not a definitive first-ever visit classification.

    Bokningskällor shows the recorded source, such as Online, Manuell, Telefon, Google, Walk-in or AI. A source label does not mean a particular third-party integration is connected. Bokningar per bord shows booking counts per table, not occupied-time percentages.

    The report shows patterns, not automatic explanations for no-shows. Check contact details, messages and actual events before drawing conclusions about a guest or changing booking conditions.

    This feature is part of Vendion Analytics++.

    Curious how it looks in practice? Read more about the product or book a short demo.

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