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Topic: Cluster analysis (in marketing)

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Cluster analysis (in marketing) - Wikipedia, the free encyclopedia Cluster analysis is a class of statistical techniques that can be applied to data that exhibits “natural” groupings. Whereas factor analysis reduces the number of variables by grouping them into a smaller set of factors, cluster analysis reduces the number of observations or cases by grouping them into a smaller set of clusters. Cluster analysis is the obverse of factor analysis. en.wikipedia.org /wiki/Cluster_analysis_(in_marketing)

Marketing Analysis - Customer Relationship Management Cluster analysis is a conceptually simple and technically slippery methodology applied in many areas of CRM marketing. Cluster analysis, factor analysis and regression and correlation analysis are often used as a first step to measure and identify market segments having the most relevance to a particular organization. While lifestage marketers have the opportunity to identify and market to consumers in anyone of these stages/phases; the transition stages are the times when consumers are most likely to try new products and marketers have the greatest opportunity to convert these individuals to lifetime customers. crmtrends.com /analytics.html

Sawtooth Software: Online Surveys and Conjoint Analysis Cluster analysis, widely used within marketing research for the past 20 years, can be especially helpful in identifying potential market segments. Once identified, clusters can be characterized in terms of demographic or lifestyle variables, product consumption, company size, SIC codes, etc. Cluster analysis can help identify market segments and evaluate their potentials as targets for strategic marketing. Each cluster is described in terms of its scores on the underlying variables, sorted according to their importance in characterizing that cluster. sawtooth.info /cca.shtml

Sigma Analytics & Consulting Inc. If the clusters are too small to build models then there are two options: combine the small cluster(s) with a cluster that is close to the same and build the model on the combined clusters, or hold out the small cluster and validate itsþ sample on all the models to choose the best model. For instance, the sample in cluster 1 has a K-S of 33.2 on the model built on cluster 1, a K-S of 30.5 on the model built on cluster 2, etc. In this example, the highlighted numbers are the highest maximum K-S for each cluster. Cluster analysis is more of a heuristic than a statistical technique. www.sigmaanalytics.com /case_clustering.htm

Cluster Analysis Cluster analysis is an unsupervised learning technique, and we cannot observe the (real) number of clusters in the data. In a sense, cluster analysis finds the "most significant solution possible." Therefore, statistical significance testing is really not appropriate here, even in cases when p-levels are reported (as in k -means clustering). In other words cluster analysis is an exploratory data analysis tool which aims at sorting different objects into groups in a way that the degree of association between two objects is maximal if they belong to the same group and minimal otherwise. www.statsoft.com /textbook/stcluan.html

Marketing Research And, cluster analysis is used to group individuals, or to form segments, according to a wide range of variables or characteristics. In the language of conjoint analysis (as opposed to the language of economics) these are often called "part worths" but their meaning is the same, they are measures of utility. The concept of utility is very important to economics and marketing theory. alpha.fdu.edu /~laskey/Research.htm

PRIZM Segments Cluster 61, the most geo-centric of all the Clusters, is mainly in the coastal flatlands of the Atlantic and Gulf states from the James to Mississippi rivers. Cluster 54 is geographically centered in the South, in the Mississippi delta, and in the Gulf coast and Atlantic states, which have become the center for our non-durable industries, such as clothing and home furnishings. Cluster 53 is the most industrial of the T3 Clusters. www.tetrad.com /pcensus/usa/prizmlst.html

Welcome to ZHA, INC. : Economic Development After performing a market segmentation analysis and identifying eight clusters with growth and synergy potential, ZHA developed corresponding business development, workforce development and a marketing strategy to attract and retain industry in the identified sectors. As a result of the cluster analysis, resources (i.e., staff, financial assistance, workforce programs) were deployed to enhance growth in the sectors and maximize their potential. Marketing Strategies:    Developing marketing plans and strategies for public sector entities to use to attract new business investment that, in turn, expands tax base and creates new jobs. www.zha-inc.com /economic.htm

Data Mining Algorithm- Cluster Analysis The cluster analysis proves to be useful for applications ranging from database marketing to quality control. Cluster engine is used for the automated detecting clusters of records that lie close to each other in a certain sense in the space of all variables. The use of all attributes makes the Cluster algorithm very useful for beginning data mining — it is an undirected method, and does not require the selection of a target attribute. www.megaputer.com /products/pa/algorithms/fc.php3

Multivariate Analysis in Marketing - American Marketing Association - www.marketingpower.com The book’s target market of marketing practitioners should be able to understand the content and recognize the benefits offered by multivariate analysis. A conclusion is that most real-world marketing research produces data that can benefit from multivariate analysis and that this type of analysis has the strong potential for improving the quality of the findings. Review: The principal goal of Managerial Application of Multivariate Analysis in Marketing is to provide a nonmathematical overview of several multivariate statistical techniques that are frequently used in marketing research. www.marketingpower.com /content20128.php

Ketikhan Cluster's Marketing Journey While CBED marketing training was developed and delivered to prepare producers for this type of dynamic in the markets, we certainly didn’t anticipate they would be lured so easily and to the point of breaking their commitment. Based on the marketing training they have received, they recognized they were confronted with a marketing challenge and did everything they should have in order to effectively deal with the challenge. Sub-Sector Analysis (SSA) is an approach to micro-enterprise development through which efforts are focused on the promotion of a specific economic sub sector. www.ceciasia.org /projects/cbed2.htm

peterme.com: Does Cluster Analysis Cut the Mustard? Concern has been raised on the list about whether cluster analysis is sufficient -- it produces a single hierarchical presentation of the concepts, an analysis that, frankly, attempts to meet that lowest common denominator. To get a bit technical, the research analysis method is referred to as multidimensional scaling. The problem, as I see it, is having access to the tools that enable this richer analysis. www.peterme.com /archives/000402.html

Generic Marketing Strategies Analysis (GMS) - JEMS measured across clusters but not included in the cluster analysis. avoiding this problem will be discussed later in the section on correspondence analysis. clusters, as determined by the attributes, can be visually appraised in terms of distances www.empgens.com /Pubs/jems/Hooley/Hooley.html

Archetypal Analysis in Marketing Research: The other key output from archetypal analysis in marketing research is a set of weightings or mixtures for each respondent. The analyst is faced with an n x m "cloud" of data points; usually using cluster analysis, the analyst's job is to divide that multivariate cloud into a small number of sections or segments. They are found in the dead center, statistically speaking, of each cluster. www.action-research.com /archtype.html

Paul E. Green, Professor - Wharton Marketing Faculty The award is sponsored by General Motors in honor of Henry Grady “Buck” Weaver who was a pioneer in marketing research and market-based decision making in the 1930s. Adventures in Conjoint Analysis: A Practitioner's Guide to Trade-Off Modeling and Applications, with Abba Krieger and Jerry Wind - The authors have provided a full downloadable copy of the monograph in hopes to elicit reader feedback on both linguistic and content evaluations. If you are a marketing research practitioner or academic who is also interested in real world applications, please offer your comments and suggestions. www-marketing.wharton.upenn.edu /people/faculty/green.html

Cluster Analysis Cluster analysis is a class of statistical techniques that can be applied to data that exhibits "natural" groupings. The term cluster analysis (first used by Tryon, 1939) encompasses a number of different algorithms and methods for grouping objects of similar kind into r... Cluster and TreeView are an integrated pair of programs for analyzing and... www2.clearclick.net /directory/Cluster-Analysis.html

Cluster analysis A cluster is a collection of data objects that are similar to one another with the same cluster and are dissimilar to the objects in other clusters. Clustering is a challenging field of research where its potential applications pose their own special requirements. Insensitivity to the order of input records: Some clustering algorithms are sensitive to the order of input data; for example, the same set of data, when presented with different orderings to such an algorithm, may generate dramatically different clusters. searchcrm.techtarget.com /tip/1,289483,sid11_gci768282,00.html

Polaris Marketing: consulting-new product concept-brand identity-innovation-strategy-analysis Relevancy Marketing is a segmentation-driven procedure that focuses the least productive increments of the budget on different -- but internally homogeneous -- clusters of users within the heavy-user segment of the population. Clusters of heavy users with homogeneous characteristics that differentiate them from other heavy user clusters can be found in concentrations nine times greater than the normal population distribution. For marketers with A&P budgets under $24,000,000 it's better to focus limited resources on a series of micro marketing plans customized to appeal to the needs, belief systems and usage patterns of the 20% of users that deliver 80% of volume. www.polarismktg.com /semrelev.htm

RFM Migration Analysis:  A New Approach to a Proven Technique Although this cluster was only one third as valuable as the Stable, Top 10% cluster, their migration pattern shows that they are clearly worth serious marketing attention. It is useless to identify a cluster unless you then use that knowledge to adjust your marketing investments up or down and in creative ways that will be meaningful to your valuable customers. Migration patterns were identified using the statistical technique called Cluster Analysis. www.dbmarketing.com /articles/Art123.htm

Cluster analysis - Sarle The Number of Clusters ---------------------- There are no completely satisfactory methods for determining the number of population clusters for any type of cluster analysis (Everitt 1979, 1980; Hartigan 1985; Bock 1985). Calinski, T. and Harabasz, J. (1974), "A Dendrite Method for Cluster Analysis," Communications in Statistics, 3, 1-27. For clustering methods based on distance matrices, a popular null hypothesis is that all permutations of the values in the distance matrix are equally likely (Ling 1973; Hubert 1974). www.pitt.edu /~wpilib/clusfaq.html

Cluster Analysis - A Dynamic Difference In contrast to Static Cluster models (which are designed primarily for directly selecting rental names from a vendor's database), a dynamic cluster analysis cannot be used to select names from a prospect database directly. Finally, a sophisticated statistical technique called “K-means cluster analysis” is used to define which factors best describe each group ("segment") of customers. So, many of the people living in the zip+4 assigned to the “Country Cousins” cluster may be quite different from each other in terms of attitudes, interests and purchasing preferences. www.marketinganalyticsgroup.com /MAG-Library-207.htm

Marketing Analysis This takes many pieces of information about your customers and finds "clusters" where all the customers within a "cluster" are as alike as possible whilst making each "cluster" as different as possible. The technique which is usually used to achieve this is cluster analysis. Where a Propenstiy model indicates that a product is unlikely to be required untargeted Marketing is likely to be counter productive. multivariate.tripod.com /site1/id2.html

Marketing Engineering In order for the Marketing Engineering application to find them, they must be in the \DATA directory. Below are the most recent data files for Marketing Engineering version 2.2. Book-Binders Book Club case data for MNL Analysis. www.mktgeng.com /download

Cluster Analysis :: Surveys & Forecasts The dimensions on which clustering is done are the important ones, and usually equally important John A. Hartigan; Clustering Algorithms; Wiley & Sons, 1975 To form homogeneous groups of objects of some kind (e.g., people, brands, markets). www.surveys-forecasts.com /cluster.htm

Cluster Analysis Software : products from Tech4T Here at Technologies4Targeting we have continued to expand our range of services since we started in the marketing database field, even now the range of high quality Cluster Analysis Software services we offer continue to increase. When selecting the Cluster Analysis Software for your campaign you can be sure that we will, if possible, agree a timescale and budget that best meets your requirements. If you are looking to carry out Cluster Analysis Software on either new or existing customer related databases then Technologies4Targeting has got the ideal package for your company no matter what it's size. www.marketing-database-solutions.co.uk /cluster.html

Marketing Research Roundtable - Quick cluster analysis tutoring Marketing Research Roundtable - Quick cluster analysis tutoring Does anyone in the group know of anyone who offers tutoring services on how to do a cluster analysis using SPSS basic program? I have just been handed a major cluster analysis project and know little about how to do one. forum.researchinfo.com /showthread.php?t=1023

Analysis for Marketing and Research Resources can provide comprehensive reports and statistical analysis of the research conducted, including cluster analysis and segmentation analysis. These reports provide a detailed overview of the data gathered during the interview and research process. We write reports to meet our customers' needs, from basic executive summaries to detailed reports complete with graphic illustration. www.m-rr.com /Analysis.htm

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Marketing 696 Market Research Software Archive - a collection of downloadable marketing-related software demos SurveySite, providing on-line marketing research (with a conjoint demo) Timberlake Consultants - software for many technical purposes, including conjoint analysis lsb.scu.edu /~tburnham/mktg696.htm

Analytic Services, Factor, Cluster and Conjoint Analysis, Customer Satsifaction, Focus Group Market Research, Marketing Research, Financial Analysis, Strategic Research and Planning and Business Plan Support Let us be the source for all your data collection and analysis needs! Send mail to Webmaster@ValuedOpinion.com with questions or comments about this web site. www.valuedopinion.com /Analytic_Services.htm

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