Analytics Module: Revenue and Occupancy Tracking

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Overview

The Analytics Module allows businesses to track statistical information across multiple areas in relation to the RezExpert system. Analytics - Revenue/Occupancy tracks the statistical information surrounding reservation revenue and/or occupant revenue.

Prerequisites

  • Access to the RezExpert system.
  • Permissions to view analytics data.

Steps

Location

  1. Click any Menu button.
  2. Click on the Analytics tab.
  3. Select Analytics - Revenue/Occupancy in the Analytics section.

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Overview

  • The Overview Tab is home to your chart-based analytic information.
  • The table at the top of the panel displays figures related to various types of information for a particular month.

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  • Key metrics include:
  • Occupancy: Percentage of available units occupied. (Occ # divided by Avail #)
  • Total Rev: Amount of revenue (reservation charges) charged.
  • ADR: Average Daily Revenue. (Total Revenue divided by Occ #)
  • Rev PAR: Revenue per available room. (Total Revenue divided by Avail #)
  • Avg Length of Stay: Average length of time for reservations made.
  • Avail Unit Days: Total number of Units available for the days selected. (# of units X # of days)
  • Total Rez Days: Number of days reservations were made for, within the searched date range.
  • Total # Rez: Total number of reservations made.
  • Use the drop-downs to select the year and rate group for viewing chart information.
  • Two panels are available side by side for data comparison.

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  • View information in different chart styles including bar charts, pie charts, line charts, and area charts.

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  • The charts are interactive for detailed information by clicking on them.

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  • Charts for both Total Revenue and Total occupancy are available.

Type Detail

  • The Type Detail tab loads the Type Revenue & Occupancy information, allowing you to view statistics for all Unit Types for a selected date range. The data can also be broken down to each Unit.

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  • Definitions of Columns:
  • # of Days: Number of days within the searched date range.
  • Maint. #: Number of Maintenance pencil ins made.
  • Rez Days: Number of days reservations were made for, within the searched date range.
  • Unit Days: Number of Units available for the days selected.
  • Avail #: Total number of Units available for the days selected.
  • % Occ.: Percentage of available units occupied.
  • Revenue: Amount of revenue (reservation charges) charged.
  • Tax: Amount of Tax on charges.
  • Est. ADR: Estimated Average Daily Revenue. (Total Revenue divided by Occ #)
  • Rev. PAR: Revenue per available room. (Total Revenue divided by Avail #)
  • # of Rez: Total number of reservations made.
  • Avg Length of Stay: Average length of time for reservations made.
  • Discount: Amount of money discounted.
  • Displays Revenue statistics related to the Unit Type as a whole.
  • Select the date range (maximum of 366 days can be searched at any one time).
  • Select Reservation Revenue only, Occupant Revenue only, or both.
  • Click Refresh.
  • To see information based on daily statistics, select By Day and click Refresh.
  • Filter information by Rate Group using the Rate Group drop-down.

Unit Detail

  • The Unit Detail tab loads the Type Revenue & Occupancy information for a selected Unit for a selected date range.

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  • Shows unit exclusive Revenue & Occupancy information, including assigned and unassigned units.
  • Filter information by Rate Group using the Rate Group drop-down.

Pace

  • The Pace tab loads the Type Revenue & Occupancy information for comparative statistics for occupied Units for selected date ranges.

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  • Date #1: Information for the first selected date.
  • Date #2: Information for the second selected date.
  • Variance: Calculated difference between the two units.

Adhoc

  • The Adhoc tab is currently not available.

Troubleshooting

  • Ensure you have the necessary permissions to access the Analytics Module.
  • Verify the date range does not exceed 366 days for a single search.
  • Check if the Rate Group filter is correctly applied if data is not displaying as expected.