GenderWise
Increase Response Rates with Personalization
If you are a systems administrator who either maintains personalized mailing lists or who must combine data from different sources, GenderWise is for you.
This one-of-a-kind data management tool splits name, address, and city-state-ZIP compound fields into their components, genderizes database records, and creates salutations for personalized letters.
GenderWise parses compound fields containing either single or double names, plus inverse names and government inverses into their structural components:
Personalize your mailings to:
• Prefix (Mr, Ms, Dr, etc.)
• First Name
• Middle name (or initial)
• Last name
• Suffix (M.D., Ph.D, etc.)
Examples:
| Full Name: |
MR SEAN J MC HUE JR VP |
| Inverse: |
MC HUE JR VP MR SEAN J |
| Gov’t Inverse: |
MC HUE SEAN J JR |
| Double Names: |
MARY O DAY TRUSTEE FOR SEAN MC HUE |
Address Parsing
GenderWise can parse as many as three address lines, as well as city-state-zip fields, into their respective components – ideal for direct mail processing.
Genderize and Build Salutations
You specify how conservatively or aggressively to genderize and whether your database has a dominant male or female population. You also specify whether the prefix should be put into its own field or inserted ahead of the first name. GenderWise can also exploit a suffix field to add a prefix such as “Dr.” for “John Smith, MD.”
GenderWise creates both formal (Dear Mr. Brown) and informal (Dear Jim) salutations using the prefixes it creates. When GenderWise encounters neutral names (Lee, Chris, Dale), you can assign a neutral salutation (Dear First Name, Last Name) or a “slug” (Dear Valued Customer)
System Requirements
• Microsoft® Windows XP® or newer
• 2 gigabytes or better
• Also available as an API
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