Transformania's 50+ Features Improve Marketing Campaign Performance
Personalization at Scale begins with Great Contact Data
Job Title Features
Bad Data Flagging
Naughty Word Flagging
Common Word Standardizing
SmartyCap™ Case Converting
Street Address Features
Bad Data Flagging
Undeliverable Address Flagging
Street Address Correcting
City Correcting
State Abbreviating-to-Name Converting
Name-to-Abbreviating Converting
5-Digit ZIP Code Correcting
Missing 5-Digit ZIP Code Enriching
ZIP+4 Correcting
Missing ZIP+4 Enriching
Distance from Address Enriching
U.S. Congressional District Enriching
County Name Enriching
County FIPS Enriching
Longitude Enriching
Latitude Enriching
Time Zone Name Enriching
Time Zone UTC Offset Enriching
Daylight Savings Time (DST) Observance Enriching
USPS Bar Code Enriching
Company/Organization Features
Bad Data Flagging
Naughty Word Flagging
Legal Name Converting
Missing Organization Name Enriching
Phone Number Features
Bad Data Flagging
Area Code Correcting
Missing Area Code Enriching
Email Features
Bad Data Flagging
Spam/Abuse Decoy Flagging
Role/Title Address Flagging
Naughty Word Flagging
Domain Spelling Correcting
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.
SOURCE DATA | TRANSFORMANIA WARNING |
---|---|
I.M. Horny | Possible naughty word(s) in name |
Denise Davis - Webmaster | Extraneous data in 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.
SOURCE DATA | TRANSFORMANIA WARNING |
---|---|
I.M. Horny | Possible naughty word(s) in name |
Johnny A$$wipe | Possible naughty word(s) in name |
- 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.
SOURCE DATA | TRANSFORMANIA WARNING |
---|---|
Joseph A. Smith | Joseph A. Smith |
3Jane Robinson | Jane Robinson |
Mike Anderson. | Mike Anderson |
Travis O ‘ Connelly | Travis O‘Connelly |
- 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.
SOURCE DATA | TRANSFORMED FIRST NAME | TRANSFORMED MIDDLE NAME | TRANSFORMED LAST NAME |
---|---|---|---|
McHenry, Oliver AM | Oliver | A.M. | McHenry |
- 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.
SOURCE DATA | TRANSFORMED FIRST NAME | TRANSFORMED MIDDLE NAME | TRANSFORMED LAST NAME |
---|---|---|---|
Marc Adam Davis | Marc | Adam | Davis |
- 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.)
SOURCE DATA | TRANSFORMED PREFIX | TRANSFORMED FIRST NAME | TRANSFORMED MIDDLE NAME | TRANSFORMED LAST NAME | TRANSFORMED SUFFX |
---|---|---|---|---|---|
Mr J Walter Johnson | Mr. | J. | Walter | Johnson | |
Ltc Maxwell Cory | Lt Col | Maxwell | Cory | ||
David Anderson | Mr. | David | Anderson | ||
JOHN D MCARTHUR MD | Dr. | John | D. | McArthur | MD |
- 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.
SOURCE DATA | TRANSFORMED FIRST NAME | TRANSFORMED MIDDLE NAME | TRANSFORMED LAST NAME | TRANSFORMED SUFFIX |
---|---|---|---|---|
Melissa Jones Md | Melissa | Jones | MD | |
Clifford M Paul Phd Jr mba | Clifford | M. | Paul | Jr., MBA, PhD |
Jones, JD JD | J. D. | Jones | JD |
- 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).
SOURCE DATA | TRANSFORMED FIRST NAME | TRANSFORMED MIDDLE NAME | TRANSFORMED LAST NAME | TRANSFORMED NICKNAME |
---|---|---|---|---|
Michael “Stinky” Cooper | Michael | Cooper | Stinky | |
Annabelle (Annie) Garcia | Annabelle | Garcia | Annie |
- 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.
SOURCE DATA | TRANSFORMED FIRST NAME | TRANSFORMED MIDDLE NAME | TRANSFORMED LAST NAME | TRANSFORMED NICKNAME |
---|---|---|---|---|
Robert Jones ([email protected]) | Robert | Jones | Bobby |
- 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:
SOURCE DATA | TRANSFORMED FIRST NAME | TRANSFORMED MIDDLE NAME | TRANSFORMED LAST NAME | TRANSFORMED NICKNAME | DearMe™ CASUAL SALUTATION | DearMe™ FORMAL SALUTATION |
---|---|---|---|---|---|---|
A Daniel Smith M.D. ([email protected]) | A. | Daniel | Smith | Danny | Danny | Dr. Smith |
Bartolomew (Bart) Lee | Bartolomew | Lee | Bart | Bart | Mr. Lee |
- 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:
SOURCE DATA | TRANSFORMED NAME |
---|---|
Robert Ar Smith | Robert A. R. Smith |
T. Randall Snootington Iii | T. Randall Snootington III |
Ronald Mcdonald | Ronald McDonald |
- 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.