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Consumer Data Series

 

 
Consumer LifeScape

Consumer LifeScape™ is a household-focused segmentation system that can measure segment potential more precisely than modeled neighborhood clustering systems.  Consumer LifeScape™ is built upon a 252-cell matrix of LifeStage (Age x Income x Marital Status x Presence of Children) and Income.

'Household-focused' means that we use household level data whenever possible to LifeScape-code client files.

Originally built from household-level Census data, Devonshire updates the national construct annually placing every household in the U.S. into this system -- this is unique among national-level segmentation systems.

What is unique about Consumer LifeScape?


° Consumer LifeScape segmentation builds upon the simple premise that life stage segments are more predictive than neighborhood clusters in determining consumer behavior.

° The use of household-level data provides a reliable platform for Customer Relationship Management initiatives.  It is more accurate than neighborhood clustering.

° It is built from the ground up with distributions assigned to each geography.  Consumer LifeScape is spatially enabled from the start.

° Intuitive segments translate into easy links to third-party research and prospect lists.  Consumer LifeScape is actionable!


Current-year estimates and 5-year projections available at Blockgroup, Census Tract, ZIP, County, MSA, and State levels.

  Variable Listing

  Sample Report

 

Consumer dmPLUS

Devonshire‘s Consumer dmPLUS™ is a multi-source consumer data repository comprised of the top B2C compilers in the business.  By maintaining all of these databases under one roof, we have the unique ability to identify and fill gaps found within individual data sources, thus providing the most comprehensive coverage possible.  Through powerful merge-purge capabilities, these files can be "de-duped" against each other in order to provide records that are unique to each data source.

The Consumer dmPLUS™ file is made up of over 300 million records, encompassing over 150 million consumer households.  Each record includes hundreds of demographic, geographic, behavioral, attitudinal, transactional, and lifestyle data.  Because we provide such a high volume of data, our supply and demand dynamics enable us to price our data at the most competitive rates available.

As a result of this multi-source approach, our clients receive the most comprehensive market coverage available, as well as a distinct qualitative advantage through the cross-validation of our multiple sources against one another, thus optimizing the demographic accuracy, postal deliverability, and phone contact-ability of the records.  We can use this data to append demographics in support analytics, predictive modeling, market analysis, targeted marketing, and many other applications.  Our data technology includes merge-purge and online list deployment, NCOA, CASS standardization, and many others.   In the end, our goal is always the same: to very cost-effectively boost the performance of your business development, customer cross-sell, up-sell, loyalty, retention, analytics, and database management initiatives.


  Variable Listing

  Sample Report

 

GeoAnalytic Point Data

This multi-source file contains geographic points of consumer household locations and corresponding information about those households.  The file contains 150 million unique household records including information from our Consumer dmPLUS™ Database.  The records are stripped of address information but can be used for applications such as mapping, market sizing and analysis, and segmentation. 

The data allows you to see household locations in any geographic area as well as detailed information on each household including age, income, marital status, home ownership status, number of children, length of residence, home value range, dwelling type, household type, as well as geo-reference information.

Each record also contains a Household ID which gives you the ability to pull the full record including name and address for database marketing purposes
.

  Variable Listing

 

 

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