X Axis options glossary
These are the different filter options you can pick when running Event Analysis or Business Performance.
Customer Analysis
- Area - Analyse customers against Postal Area geography. This is the first 2 characters in the postcode. For example, the highlighted section here: GU1 4SJ
- Booking Time - Analyse customers against when they purchased their tickets for the events in your event band. We band the booking times to make it easier.
- Country - Analyse customers against the Country field on your database. This is not a derived data field and so will be dependent on the options available on your ticketing system.
- County - Analyse customers against the County field on your database. This is not a derived data field and so will be dependent on the options available on your ticketing system.
- District - Analyse customers against Postal District geography. This is the first 4 characters in the postcode. For example, the highlighted section here: GU1 4SJ
- Mosaic Group - If you have a license for Experian's Mosaic we can add this to the Analysis tab for you to analyse customers against Mosaic Group.
- Mosaic Type - If you have a license for Experian's Mosaic we can add this to the Analysis tab for you to analyse customers against Mosaic Type.
- Repeat Attendance - Analyse how many repeat attendances customers have made within the event band.
- Sector - Analyse customers against Postal Sector geography. This is the first 6 characters in the postcode. For example, the highlighted section here: GU1 4SJ
Sales Analysis
- Data Capture - Analyse customers to understand what proportion provided their name and address details when purchasing their tickets.
- Day of Performance - Analyse customers against which day they attended the events in your event band.
- Day of Transaction - Analyse customers against which day they purchased their tickets for the events in your event band.
- Day of Week of Performance - Analyse customers against which day of the week e.g. Monday, Tuesday etc they attended the events in your event band.
- Day of Week of Transaction - Analyse customers against which day of the week e.g. Monday, Tuesday etc they purchased their tickets for the events in your event band.
- Discount Codes - Analyse customers against the discount code they used to purchase tickets for the events in your event band.
- Events - Analyse customers against the exact event that the customer attended in your event band.
- Group Size - Analyse customers against the number of tickets they purchased e.g group size that the customer purchased for the event in your event band.
- Location - Analyse customers against the location of the exact event that the customer attended in your event band.
- Month of Performance - Analyse customers against which month they attended the events in your event band.
- Month of Transaction - Analyse customers against which month they purchased their tickets for the events in your event band.
- Performance - Analyse customers against the exact performance e.g. Exact date and time of performance within an event, that the customer attended in your event band.
- Price Band - Analyse customers against the price band they used to purchase tickets for the events in your event band.
- Qtr of Performance - Analyse customers against which financial quarter they attended the events in your event band.
- Qtr of Transaction - Analyse customers against which financial quarter they purchased their tickets for the events in your event band.
- Sales Channel - Analyse customers against the sales channel they used to purchase tickets for the events in your event band.
- Sales Operator - Analyse customers against the sales operator they used to purchase tickets for the events in your event band.
- Week of Performance - Analyse customers against which week they attended the events in your event band.
- Week of Transaction - Analyse customers against which week they purchased their tickets for the events in your event band.
- Weeks Out - Analyse customers against when they purchased their tickets for the events in your event band.
- Year of Performance - Analyse customers against which year they attended the events in your event band.
- Year of Transaction - Analyse customers against which year they purchased their tickets for the events in your event band.
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