Transformania's 50+ Features Improve Marketing Campaign Performance

Bad Data Flagging

Flags contacts that are unusable due to corrupted data, extraneous information  (e.g. company names, addresses, job titles, or websites mixed with names), or missing critical data such as first or last name.

• Reduces bounces, blacklisting, ESP account deactivation, and costly returned mail.

Naughty Word Flagging

Flags names that contain naughty words and may be spam decoys or fictitious contacts.

• Reduces bounces, blacklisting, ESP account deactivation, and costly returned mail.
• Keeps contact database clean.

Name Cleaning

Imposes proper capitalization, corrects improper punctuation, standardizes abbreaviations, and performs numerous other data formatting functions to improve the appearance of names.

• Increases open and click/action rates by eliminating the appearance of junk mail.

Last Name, First Name Syntax Correcting

Automatically detects and corrects names that are displayed using Last Name, First Name syntax.

• Increases open and click/action rates and builds trust by eliminating the appearance of junk mail or (gasp!) purchased marketing lists.
• Reduces spam reports/unsubscribes.

Name Splitting

Splits name in full name column into prefix, first name, middle name, last name, and suffix.

• Increases open and click/action rates and builds trust by eliminating the appearance of junk mail or (gasp!) purchased marketing lists.
• Reduces spam reports/unsubscribes.
• Avoids campaign-destroying openings like Good morning, Marc Adam Davis!

Prefix Extracting

Identifies, extracts, and formats prefixes (Ms., Dr., Lt. Col., etc.) from full name column. If your source data doesn’t contain a prefix, Transformania will create one (Mr., Ms., or Dr.) based on the contact’s likely gender or, if present, professional suffix (M.D., O.D., Ph.D, etc.)

• Increases open and click/action rates and builds trust by eliminating the appearance of junk mail or (gasp!) purchased marketing lists.
• Enables formal addressing (Mr., Ms., Dr.) if that’s your thing.

Suffix Extracting

One of Transformania’s most stunning features. There’s simply nothing else on the market that approaches its accuracy. Handles multiple suffixes with ease. Sorts multiple suffixes. Knows whether identical consecutive letters are a suffix or a person’s initials.

• Increases open and click/action rates and builds trust by eliminating the appearance of junk mail or (gasp!) purchased marketing lists.
• Reduces spam reports/unsubscribes.

DearMe™ Embedded Nickname Extracting

One of two Transformania features that identify and extract a contact’s informal or nickname from the source data (see also DearMe™ Email Nickname Extracting).

• Increases open and click/action rates by addressing recipients by their familiar, informal names.

DearMe™ Email Nickname Extracting (U.S. Patent Pending)

This is our favorite Transformania feature because it may have the greatest direct impact on marketing campaign performance. It identifies and extracts a contact’s informal or nickname from his/her email address, a surprisingly complex task which Transformania does so well that we have a U.S. patent pending on our proprietary process.

• Increases open and click/action rates by addressing recipients by their familiar, informal names.
• Enables you to address Robert Jones as “Bobby” if that’s the name by which he’s known.

DearMe™ Salutation Creating

Transformania creates two salutations for each of your contacts, one formal and one casual. If you’re an experienced direct marketer, you know how difficult it is to put the right name in your salutation (e.g. Dear John or Good morning, Mary Jo!) In fact, if you want to know how difficult, just look in any Deleted email folder and you’ll find unread messages that begin with “Hello ROBERT M. JOHNSON” and “Good morning, Bartholomew” and “Hi A.”

How does Transformania solve this age-old problem? Like this:

• Increases open and click/action rates by addressing recipients by their familiar or formal names (your choice), and not by their initials for other inappropriate data.

SmartyCaps™ Case Converting

If you’ve used [fill in the blank] software to change the case (i.e. capitalization) of people’s names, we think that the results looked something like this:

ROBERT AR SMITH became Robert Ar Smith
RANDALL SNOOTINGTON III became Randall Snootington Iii
RONALD MCDONALD became Ronald Mcdonald

Starting today, by using Transformania, you’ll get these results instead:

• Increases open and click/action rates and builds trust by eliminating the appearance of junk mail or (gasp!) purchased marketing lists.
• Reduces spam reports/unsubscribes.