Sorting the <millionaires> - Potential Loyal Customers - from a personal database 95 million strong.
Wealthy Class Database
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According to Merrill Lynch in Japan, the wealthy class of individuals defined as having than $1 million in non property assets, exceeded 1.3 million people in 2003 and is growing at almost 6% per year. This grouping of individuals and their families is now believed to exceed 5 million people and has obviously become an actively pursued target for the full range of marketing efforts from almost every industry sector.
Landscape has created a uniquely segmented and selectable database of “filtered” names and addresses. Previous methods were very manually orientated, cumbersome, and prone to long delays in delivering data orders whereas today’s automated search and selection system permits rapid turn around of most orders from this database. |
| ■ Precise Extraction of Multiple Items |
The Wealthy Class” database has been built by identifying and extracting names and addresses in the IDB consumer database that meet specific criteria within these three categories - Occupation, Resident Status, and Key Attributes. These name and address records are “filtered” out of the 95 million consumers listed in the IDB database.
Many of Landscape’s customers will pass their own customer databases against this newly offered “Wealthy Class” database to help them learn more about the characteristics of their own customers that their own RFM tracking may not be providing. This information may also lead to better targeting of specific offers to designated “high propensity to buy” segments of their own databases.
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| 1. Occupation |
| Establish a high business potential which can involve <Millionaire> as a radical extract criterion. Presidents, Top Company Executives, Doctors, Dentists, Lawyers, Public Accountants, University Professors, Mansion owners, Diet Members, Notable individuals etc. |
| 2. Resident Status |
Filtering to enhance the potential for residents who may be <Millionaire> based on resident status.
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Specify high class residential areas: Extract districts populated by the wealthy class (high-income tax payers, presidents etc) from the upper-level down in order. Moreover, attribute statistical information of high class residential areas and extract residents.
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Specify luxurious mansions: Extract residents who live in big houses in the top districts based on the posted land prices.
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Specify luxury apartments: Extract residents by specifying the sale price of mansions in billions of yen or rental of high class mansions.
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| 3. Attributes |
Filtering to enhance the potential for persons who can be <Millionaire> based on various attributes other than those in 1 & 2.
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Specify attributes which can qualify individuals as Wealthy Class
High-income tax payers, stock holders (new public company), horse owners etc. |
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Those possessing a large amount of property
Those possessing imported luxury cars, with golf club memberships etc. |
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Utilizing a large amount of services
Using golf courses, overseas travelers etc. |
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| ■ Samples uses for Wealthy class database |
| 1. Real estate |
to identify prospects to sell high value properties to
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| 2. Financial Institutions (banks, investment companies, insurance) |
to identify prospects for new accounts, private offerings, special products
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| 3. Travel Companies or Airlines |
to identify prospects for round-the-world tours, exclusive packaging, exotic travel destinations, etc.
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| 4. Jewelry, Precious Metals, and Luxury Accessories Stores |
| to identify prospects for high value and quality goods |
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