Real Opinions Matter
Upon joining, our members agree to provide accurate and honest responses to surveys they are invited to.
Our main recruitment source is Australia and New Zealand’s premier event ticketing business, Ticketek; with a database of 11.7m unique live entertainment fans, and selling 23 million tickets to over 20,000 events every year.
How do we maintain and manage a quality source?
- Profile Data
- Recruitment Source
- Data quality and Panel Management
- Respondents & interacting with surveys
- 200 profile variables collected
- frequent profiling through the year
Members have the ability to complete and update their profile through their ‘member account’ on the Purkle panel website. Our members are profiled through a variety of topics:
- B2B including decision makers and company size
- education and profession
- money and finance
- transport and automotive
- technology and communication
- home and family
- shopping behaviour
- alcohol and other beverages
- media and entertainment and health and well-being.
Our members are encouraged to keep their profile regularly updated in order to receive regular and relevant surveys.
- Australia (est. 2007) – Over 1 million members
- New Zealand (est. 2011) – Over 100,000 members
Purkle panel members are recruited across mutiple channels:
- Channel 9
- Advertisements within publications managed by the Bauer Media Group.
Recruitment occurs through digital banners ads, TV commercials, offline through flyer hand-outs and print advertisements. Our unique multi-channel recruitment method ensures a diverse coverage of all demographic groups and interests ensuring limited cross-over with other panels. Purkle members are engaged, active and real consumers across Australia and New Zealand.
- optimising how a question is worded
- the length of the survey
- how you structure your questions
- optimising your survey ‘layout’
- removing repetitive questions
- encourage members to be autonomous in their responses
- have relatable and coherent questions
- are engaging
…will minimise poor responses and satisficing behaviour, promoting high quality data.