Survey research data

Introduction

A wide range of survey research data sets are available in the United Kingdom, typically measuring items such as:
  • Readership behaviour (eg. National Readership Survey)
  • Product purchasing preferences (eg Target Group Index, National Shoppers Survey, National Motoring Survey)
  • Exposure to financial instruments and credit (eg National Finance Survey)
  • Television viewing and radio audience preferences (eg BARB and RAJAR respectively)
  • Most survey research data sets attempt to estimate the behaviour of the population at large by designing a demographically representative sample of individuals or households matching the age/sex and socio-economic profile of the UK. The sample size of each survey varies, but may range from several thousand respondents to tens of thousands of respondents. Because these samples are representative, results of the research (eg readership preferences) may be weighted back to the population as a whole.

    Several research data sets, notably the National Shoppers Survey, are not designed around a representative sample frame but use self-completion questionnaires distributed in the national and regional press. Because this data collection methodology relies on individuals deciding to respond - frequently induced by money-off vouchers - the survey is self-selecting in nature. However, results can still be weighted back to the UK population due to the inclusion of age, sex, income and working status on questionnaires. A significant advantage of this approach is the rolling nature of the survey - the National Shoppers Survey has collected around 9 million responses over a period of years.

    Survey research data sets are widely used in marketing to target populations for product promotion. Potential markets can be targeted geographically if the survey has been coded with a geodemographic discriminator. The procedure works as follows:

  • The survey reveals that the highest penetration of soap powder usage is amongst Super Profiles type D13 (Young families in Small Semi's and Terraces).
  • The postcode sector level Super Profiles directory gives a population or household count for each Super Profiles type.
  • The survey indicates that 70% of type D13 households use soap powder, and in any particular sector the number of type D13 households is known. Hence the household count can be multiplied by the percentage penetration for this and all other Super Profiles types to produce an estimate of the soap powder purchase potential in postcode sectors.
  • Business Geographics can supply survey research data sets and provide programming expertise to enable linkage between research data and geodemographic discriminators. Our CenSys95 market analysis system provides the facilities for product potential mapping and reporting based on any geodemographically coded survey.
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    For further information send mail to info@geoweb.co.uk