acorn, developed by caci limited in london, is a segmentation tool which categorises the united kingdom’s population into demographic types. instead, the current version of acorn was created with a new approach to geodemographics. at the census & geodemographics group’s decennial conference, tracking a decade of changing britain, caci presented a paper on why it had chosen to eschew census data and how it had gone about developing a new way of creating a demographic segmentation. it is a free and open geodemographic segmentation based on the 2001 uk census.
in the traditional approach census and lifestyle data is fed through statistical software to perform a multi-variate segmentation. the problem with this approach is that housing built after the census cannot be classified primarily because of the requirement to always use the same data and the same algorithm and so, by definition, census data does not and cannot be applied to newly built housing. the general principle is to use appropriate data and specific algorithms to give the best segmentation. the second benefit is that it is not essential to have data for all of the united kingdom. the traditional approach could not use this data since it required the same data for every postcode, but the new approach can.
this publication is available at /government/statistics/quality-assurance-of-administrative-data-in-the-uk-house-price-index/acorn-consumer-classification-caci this is the quality assurance of administrative data (qaad) of the data source in acorn consumer classification (caci) used the production of the uk house price index (uk hpi) and northern ireland house price index (ni hpi). furthermore, it should be noted that the acorn classification is one of a number of characteristics (from various administrative data sources) that are used in the modelling of house price data. it is used as an explanatory variable within the uk hpi given it was found to be a variable which explains some of the price of a property.
in discussions with caci acorn it was confirmed that the use of the data as part of a model (as it is used in the uk hpi) is an appropriate use of its data. the acorn dataset is one of a set of characteristics (about a property) that is used an input in the production of modelled house prices, which in turn are used in the production of the monthly uk house price index (hpi). this means that 80% of the variation in price is captured by the explanatory variables. overall, this data source is judged to be of adequate quality for the use to which it is being put in the uk house price index.
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acorn is a geo-demographic segmentation of residential neighbourhoods in the uk. it classifies each postcode in the country into one of 62 types ➢provide insight into your key customer groups. ➢assess how representative your customers are of the local population. ➢identify customer groups that customer behaviour. 2. acorn is a segmentation tool which categorises the uk’s population into demographic types. acorn segments households, postcodes., acorn consumer classification, acorn classification postcode search, acorn user guide, acorn disadvantage, acorn categories 4 and 5, acorn classification groups, acorn postcode, acorn marketing, acorn classification meaning, acorn demographics postcode. what is acorn profiling? what is acorn consumer classification? what does acorn stand for in marketing? what is caci segmentation?
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