Event Impact
Intermediate Attendance Impacts attempt to understand the type of people who are attending events in more detail. These are covered here as they are likely to include an element of bespoke research to profile the people attending the event.
Residence, sex, age, socio-economic group, disability, ethnicity, educational attainment and employment status are just some of the areas in which attendees can be assessed. Their reason for attendance may impact on other areas of impact measurement, particularly when determining 'causality' between the event and a specific impact.
Profile information is also likely to influence other elements of an event evaluation such as the extent of attendance/participation by specific target audience/group. Measuring this may then allow comparisons against local or national averages, or benchmarks from other events.
Also covered is an approach to measuring attendance numbers at non-ticketed events. This is a more complex process than measuring attendance at ticketed events.
Whilst a basic level of profiling may be possible through an assessment of existing data (eg postcodes from ticket sales data), the likelihood is that primary research will be required to survey attendees at the event. The resources detailed below provide guidance on profiling and some basic profiling groups, in addition to covering some principles around surveying and surveying techniques. They also cover an approach to assessing non-ticketed events.
Explains the reasons behind wanting to understand demographic data behind your audience, and outlines some basic profiling categories.
Provides guidance on how to ask for postcode data from attendees, and explains how this can be mapped effectively.
Provides guidance on how to survey effectively, especially with regards to sample sizes and sampling error.
Summary of different types of surveying techniques with some basic advantages and disadvantages identified from each.
This resource proposes an approach to measuring attendance where there is no ticketing or box-office data, for example at open access events.
The following table demonstrates how Audience Representativeness can be defined once a basic profiling of a sample of the event population has been defined
The case study below attempts to demonstrate how attendance profile data can be used in conjunction with existing benchmarks within the sector
A reference copy of the surveying tool used for the 2008 Rugby Union Junior World Championships in Wales.
A reference copy of the surveying tool used for the 2008 Edinburgh International Film Festival
A reference copy of the surveying tool used for the 2008 Piping Live Survey in Glasgow.
A reference copy of the surveying tool used for the 2008 Tour of Britain Survey in Blackpool and Liverpool.