Building and Managing Your Marketing Database, Cont.
Lesson 6: DATABASE LAYOUT AND DATA FORMATTING
Below you'll see an example of a professional database layout with suggested field lengths. This layout example comes from Info USA which has two large compiled files -- one for every consumer, and the other for every business in the United States. This is a good example of a layout that works whether you have 30 names, 50,000 names or 10 million names.
This example shows field lengths for both business-to-consumer and business-to-business databases in one table. Field lengths for business-to-consumer databases are shown on the left, while field lengths for business-to-business databases are shown on the right.
Consumer
Field Length |
Data Field Name |
Business
Field Length |
| 06 |
Consumer ID number |
06 |
| 01 |
Title code |
03 |
|
Function code |
03 |
|
Mailstop code |
09 |
|
Dept., group, etc. |
15 |
|
Corp. name |
30 |
| 15 |
First name |
15 |
| 01 |
Middle initial |
01 |
| 15 |
Last name |
15 |
| 30 |
Primary address |
30 |
| 16 |
City |
16 |
| 02 |
State |
02 |
| 09 |
Zip+4 |
09 |
| 03 |
Country code |
03 |
| 04 |
Carrier route |
04 |
| 06 |
Creation date |
06 |
| 06 |
Last address change date |
06 |
| 01 |
Do not rent |
01 |
| 01 |
Do not mail |
01 |
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Let's look at a few more examples from Info USA:
Business-to-Business Database Layout
Field Length |
Data Field Name |
| 12 |
Phone |
| 06 |
SIC Code |
| 06 |
Franchise Code |
| 01 |
Ad Size Code |
| 01 |
Population Code |
| 01 |
Individual Or Firm |
| 02 |
Year |
| 04 |
New Add |
| 14 |
Last Name |
| 11 |
First Name |
| 03 |
Contact Prof Title |
| 01 |
Contact Title Code |
| 01 |
Contact Gender |
| 01 |
Employee Size |
| 01 |
Sales Volume / Asset Size Code |
| 01 |
Industry Specific Code |
| 01 |
HQ / Branch Code |
| 10 |
Key Code |
| 10 |
Fax Phone |
| 01 |
Office Size |
| 06 |
Production Date |
| 09 |
Location Number |
| 09 |
Subsidiary Number |
| 09 |
Parent Number |
| 06 |
Primary SIC |
Business-to-Consumer Database Layout
Field Length |
Data Field Name |
| 01 |
Gender |
| 12 |
Delivery Point Bar Code |
| 12 |
Phone Number |
| 01 |
Residents Age |
| 04 |
Year of Birth |
| 02 |
Month of Birth |
| 01 |
Income |
| 02 |
Length of Residence |
| 01 |
Home Value Code |
| 01 |
Own/Rent Flag |
| 01 |
Population Rank |
| 01 |
House/Apartment |
| 07 |
Credit Card Type |
| 01 |
Number of Trade Lines |
| 01 |
Credit Card Level |
| 01 |
Land Use Code |
| 06 |
Date of Last Activity |
| 20 |
County Name |
| 04 |
MSA Code |
| 30 |
MSA Description |
| 10 |
Key Code |
| 30 |
Title Address |
| 30 |
Presort Endorsement Line |
| 01 |
Marital Status |
| 06 |
Marriage Date |
| 01 |
Mortgage Type |
| 06 |
Mortgage Date |
| 01 |
Mortgage Loan |
| 01 |
Finance Type |
| 02 |
Ethnic Code |
| 01 |
Loan to Value |
| 01 |
Expendable Income |
| 01 |
Networth Rank |
| 01 |
Presence of Pool |
| 02 |
Vehicle Group |
| 02 |
Number of Autos |
| 09 |
Latitude |
| 09 |
Longitude |
| 01 |
Match Level |
| 06 |
Census Tract |
| 01 |
Block Group |
| 01 |
Time Zone |
Field
Length |
Consumer Demographics |
Field
Length |
Business Demographics |
| 02 |
Gender |
02 |
Start date of business |
| 04 |
Date of birth |
01 |
Employee size |
| 12 |
Telephone number |
01 |
Sales volume / Asset size code |
| 10 |
Fax number |
01 |
Professional office size |
| 30 |
Email |
06 |
SIC code |
| 01 |
Time zone |
01 |
Industry specific code |
| 02 |
Household income |
01 |
Business status |
| 01 |
Marital status |
06 |
Franchise code |
| 02 |
Number of children |
01 |
Public company |
| 02 |
Age of children |
01 |
Stock exchange |
| 02 |
Additional household members |
01 |
Fortune 1000 |
| 02 |
Length of residency |
01 |
Credit rating scores |
| 01 |
Homeowner / renter |
01 |
Yellow page ad size |
| 01 |
Dwelling type / size |
01 |
Population code |
| 01 |
Value of home |
01 |
Headquarter/branch code |
| 05 |
Occupation |
09 |
Subsidiary number |
| 01 |
Language preference |
09 |
Locator number |
| 02 |
Ethnic markets |
06 |
Patent number |
| 02 |
Education levels |
|
|
| 02 |
Religion |
|
|
| 04 |
Direct response data |
|
|
| 04 |
Household lifestyle interest |
|
|
| 04 |
Household product ownership |
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Coding The Data
All of the fields in your database are going to need to be coded so that you can sort on the data. Let's take title code as an example from the layout above. On the business-to-business side, you can see two characters in the field length. At this point you might be thinking, "but how do you write Vice President of Internal Affairs in two characters? Well you dont. Instead, you code the title. You can keep the text title field and use this as your title slug when you write to the individual, but you'll need your corresponding code field in order to segment your file.
One of our clients came to us years ago with a file of 60,000 names. This was a business-to-business file. How many titles do you think they came up with? 52,000 and change. And they were all in text fields. How could the computer possibly sort on that data? And of course being able to sort and segment your file by title is critical to the success of your direct marketing campaign because you're going to have different marketing messages and promotion types for different levels and functions.
You'll have different titles in business-to-business depending on the industry that youre in. If youre in the medical profession, you would have different titles than you would have in the gardening business. If all your products are going into IT companies, then they have a different set of titles. If youre going into marketing companies, then the titles will also be different as will retail establishments.
Here's a good example of title codes:
Title
Code |
Title |
Title
Code |
Title |
| 01 |
Account Executive |
51 |
Director - Legal Affairs |
| 02 |
Accountant |
52 |
Director - Manufacturing |
| 03 |
Administration |
53 |
Director - Marketing |
| 04 |
Auditor |
54 |
Director - Personnel |
| 05 |
Cashier |
55 |
Director - Plant |
| 06 |
Engineer |
56 |
Director - Public Relations |
| 07 |
Loan Officer |
57 |
Director - Purchasing |
| 08 |
Publisher |
58 |
Director - R&D |
| 09 |
Miscellaneous |
59 |
Director - Sales |
| 10 |
Board of directors - Chairman |
60 |
Director - Traffic |
| 11 |
Board of directors - Member |
70 |
Manager - Accounting |
| 12 |
Chairman |
71 |
Manager - Administration |
| 20 |
Chief Advertising Officer (CAO) |
72 |
Manager - Advertising |
| 21 |
Chief Executive Officer (CEO) |
73 |
Manager - Branch |
| 22 |
Chief Financial Officer (CFO) |
74 |
Manager - Corp. Com. |
| 23 |
Chief Operating Officer (COO) |
75 |
Manager - Data Proc. |
| 24 |
Executive Vice President |
76 |
Manager - Gen. Counsel |
| 25 |
President |
77 |
Manager - HR |
| 26 |
Owner |
78 |
Manager - Info. Systems |
| 27 |
Partner |
79 |
Manager - International |
| 30 |
Vice President |
80 |
Manager - Investor Services |
| 31 |
Vice President - Senior |
81 |
Manager - Legal Affairs |
| 32 |
Vice President - Junior |
82 |
Manager - Manufacturing |
| 33 |
Division - President |
83 |
Manager - Marketing |
| 34 |
Division - Manager |
84 |
Manager - Personnel |
| 35 |
Corporate Secretary |
85 |
Manager - Plant |
| 36 |
Secretary |
86 |
Manager - Public Relations |
| 37 |
Treasurer |
87 |
Manager - Purchasing |
| 38 |
Trust Officer |
88 |
Manager - R&D |
| 39 |
Controller |
89 |
Manager - Sales |
| 40 |
Director - Accounting |
90 |
Manager - Traffic |
| 41 |
Director - Administration |
|
|
| 42 |
Director - Advertising |
|
|
| 43 |
Director - Branch |
|
|
| 44 |
Director - Corp. Com. |
|
|
| 45 |
Director - Data Processing |
|
|
| 46 |
Director - General Counsel |
|
|
| 47 |
Director - Human Resources |
|
|
| 48 |
Director - Information Systems |
|
|
| 49 |
Director - International |
|
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| 50 |
Director - investor Services |
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Of course you'll have to set up the coding system which might seem like a lot of work up front. But the work will definitely pay off over time. And without it, your file will basically be useless. Plus, if you ever decide to rent your house file, you'll need the codes. Business-to-business mailers always want to target their offers by title/function.
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