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1.
Technology that is putting research within an arm's reach of desire
Craig Twyford, ESOMAR, Conference on Panel Research, Budapest, April 2005
Historically manufacturers have demanded that research suppliers should provide broader and deeper insight into the habits of the hypermarket shopper because this is the area over which they have trad ...
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16 times
2.
Can purchasing data assist in targeting media spend?
Tracy Waring and Lisa Pollard, Admap, November 1998
Describes with examples from Superpanel/mediaSPAN data the benefits of basing media planning on purchasing behaviour, derived from single-source data, rather than demographics.
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11 times
3.
How should advertisers budget? First steps on the MAX journey
Michael J. Naples and Paul Root, Admap, September 1998
Describes the MAX (Managing Advertising Expenditure) Project in the USA. This started in December 1996, under the auspices of the Marketing Science Institute and the American Association of Advertisin ...
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50 times
4.
Drilling or mining? Handling and analysis of data between now and the year 2000
Tony Antoniou, ESOMAR, Panel Research, February 1997
The paper reviews the developments which have taken place in the retailer panel services in the late '80s and early '90s, with specific reference to the move from retail audits to scanning based servi ...
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4 times
5.
Added value information. The integral use of household and retail panel data
Peter Kempe and Antoine Luijten, ESOMAR, Panel Research, February 1997
'Research is the seeking for fundamental principles. It is the search for laws governing ... behaviour. The successful results of research have enduring value in explaining and predicting what happens ...
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3 times
6.
Scanner Based Data Applications for Improving FMCG Sales and Marketing Efforts
Thomas Harris, ESOMAR, Research and Decision Making, September 1995
Electronic Point Of Sale (EPOS) data from grocery store scanners have led a revolution in the way manufacturers and retailers use data for strategic and tactical decision making. The industry continue ...
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8 times
7.
Are aggregate scanner data models biased?
Ross Link, Journal of Advertising Research, Vol. 35, No. 5, September/October 1995
Discusses whether or not store-level data, as opposed to aggregate data, are required to estimate accurately scanner-based price, promotion and marketing-mix econometric models. Argues that there is r ...
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8.
EPOS data: a user's view
Alan Wolfe, Admap, April 1987
The impact and potential of EPOS (electronic point-of-sale technology) is discussed. The data can revolutionise quantified research in the packaged goods field. It is noted that scanner data belong to ...
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6 times
9.
Scanning-based services and the Nielsen contribution
Norman Staples, Admap, April 1987
This article outlines the characteristics and current position of scanner-based services. Nielsen scanning-based services are of two kinds: 1) based on the weekly total sales made by a group of scanni ...
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10.
Using scanning data to measure price and promotion effects
Heide Milde, Admap, April 1987
This article describes how Nielsen are developing scanner applications in Germany. The current Scantrack service in Germany uses 50 stores from 12 different trade groups. The Nielsen Price Promotion M ...
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11 times
11.
Does branding pay?
Ian Davis, Admap, December 1986
A management consultancy view. Branding is alive and well, but in many cases branding power has shifted from manufacturer to retailer (aided by EPOS); in certain markets and circumstances, it may be m ...
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21 times
12.
The estimation of pre- and post-promotion dips with store-level scanner data
Harald J. van Heerde, Peter S.H. Leeflang and Dick R. Wittink, Market Research Abstract from: Journal of Marketing Research, Vol XXXVII, Number 3, August 2000, pp 383-395, (full text not available on WARC.com)
In the weeks following an in-store promotion a dip in sales would be expected, in response to earlier and/or extra buying during the promotion. There is evidence to suggest that this does not happen h ...
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13.
Time series analysis of daily scanner sales: extraction of trend, day-of-the-week effect and price promotion effect
Fumiyo N. Kondo and Genshiro Kitagawa, Market Research Abstract from: Marketing Intelligence & Planning, Volume 18, Number 2, pp 53-66, (full text not available on WARC.com)
Daily store level scanner data has become increasingly available in Japan in recent years, and time series analysis based on a sales response model is becoming realistic. The paper suggests a method ...
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