Establishment Survey Fact Sheet

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Presentation transcript:

Establishment Survey Fact Sheet

ES Fast Facts – all you need to know at a glance Measures media behaviour across: Viewing (TV) Listening (Radio) Reading (Newspapers, Magazines) Digital Cinema Out of home Nationally representative sample of people aged 15 years+ 25 000 per annum, across 2 waves IHS partnership Sample updated bi-annually Respondent pool for panel studies Consistent Same question format across all media where relevant New socio-economic measure to be developed Indifferent Mind I don't care about this in it Platform agnostic Media behaviour regardless of platform… thus covers changing media habits Questionnaire extensively tested 400 quantitative pilots and numerous cognitive pilots

ES fact sheet Approach The Establishment Survey goes live on 1 July 2016 It is a bespoke survey designed to measure multi-media behaviour across different devices Covers seven media categories: Viewing (TV), Listening (Radio), Reading (Newspapers, Magazines), Digital, Cinema and Out of home Consistent question flow per category to measure level of category participation and usage across various devices/platforms Category level only (no brand level data collected) Data will be released twice a year based on six months worth of data First industry release of data will be in March 2017 (July to December 2016 data) New socio-economic measure to be developed

ES fact sheet Sample Annual sample of 25 000 households (12 500 per wave) amongst people 15 years or older The master sample frame is delivered by IHS – expert demographers - and provides bi-annual updates, including latest boundary information, ensuring ongoing national representation across urban metro, urban non-metro, rural metro and rural non-metro areas Probability proportionate to size approach ensures a random selection of Small Areas RIM weighting at individual and household level Interviewing is spread over 49 weeks of the year ensuring that all periods in a year are covered – and is conducted continuously in all area types and provinces to ensure consistent and stable data