July Monthly Results

July 2015

We are enjoying a busy and productive summer providing our clients with accurate data marketing and targeted customer intelligence. During this month alone, our team has updated millions of records and added a myriad of new consumer data to our inventory. Plus, our hygiene processes have eliminated a multitude of bad DPV postal records, duplicates and incomplete fields.

Here's a look at July activity that continues to increase your data acquisition potential and to enhance your targeted consumer marketing data. Please see our glossary of terms below for an explanation of each category and the detailed information we can provide.

Permission TableTop Interest Codes (INCODE)

Total Records: 122,620,637

July Update

New to File: 1,972,901

Updated: 2,340,267

Demographic Match: 74%

Homeowners: 33.6%

EDUG – Education General

EDU – Student Loan Refinancing

TRVC – Travel Cruising

SHPH – Shopping Appliances

INSH – Insurance Health

CISU – After Market Surveys

Summary – AGR processed over 13 million records in July. During our hygiene processes we eliminate bad DPV postal records, spam traps and other negative emails, duplicates and incomplete or fragmented fields.

VIN – Auto TableSuppression Table

Total Records: 156,865,337

July Update

New to File: Data Not Received

Updated: Data Not Received

 

Total Records: 220,954,547

July Update

New to File: 815,953

Spam Traps (Email): 72,021

Other: 743,922

Summary – AGR processed over No AUTO-VIN records in July. File was not received in time for updates. During our hygiene processes we eliminate bad DPV postal records, duplicate by VIN number, and incomplete or fragmented fields.

PayDay Loan Short FormPayDay Loan Long Form

Total Records: 44,090,555

July Update

New to File: 395,539

Updated: 429,124

Total Records: 15,736,970

July Update

New to File: 245,780

Updated: 289,924

Summary – AGR processed over 2.7 million records in July. During our hygiene processes we eliminate bad DPV postal records, spam traps and other negative emails, duplicates and incomplete or fragmented fields.

Motorcycle FileSmokers File

Total Records: 9,786,378

Top Brand: Harley Davidson (87%)

Age: 52 or older (75%)

Gender: Male (40%), Female: (36%)

Top States: FL, TX, OH, CA, WI

Phones: 78%

Email: 84%

Total Records: 11,497,447

Top Brand: Marlboro

Purchase By Carton: 56%

Gender: Male (49%), Female: (46%)

Top States: FL, CA, TX, NY, GA

Phones: 87%

Email: 92%

Cell Phone - Wireless File

Total records: 58,029,022

Households with 2 or more Cell phones: 10,849,069

Top Carriers

ATT:

Verizon:

18,032,883

14,266,486

Sprint:

T-Mobile:

8,426,645

5,196,090

Motorcycle, Smokers and Cell phone files will update every two months.

Glossary of Terms

Permission Table – consumers who have opted into a website and given their name, address, email, DOB, gender, email, telephone. The system gets their email, URL, Date-Time and IP address.

Suppression Table – a record moves to our Suppression Table if the email is bad, postal address is not valid, fields of information are missing, or the consumer has opted out to a recent email message.

VIN Table – consumers who own a car and have recently taken the car to a service center. We have name and address, email, telephone, the year, make, model, VIN number and dozens of other vehicle related information fields.

PayDay Loan Long Form Table – consumers who fill out a long form application for loan through hundreds of online websites. We collect more than 50 fields of self-reported information.

PayDay Loan Short Form Table – consumers fill out a short or modified application for loan through hundreds of online websites. Only 14 fields of self-reported information are collected.

Motorcycle Table – consumers who buy services and aftermarket items for their bike. We collect more than 18 fields of self-reported information along with the year, make, model and VIN number.

Smokers Table – consumers who have responded to online and off line offers about their smoking preferences. We collect more than 50 fields of self-reported information.

Cell Phone Table – we have identified cell phone numbers through multiple append processes against all of our tables.

NEW files coming next month!

Watch for our August newsletter which will include a new Health Insurance Table, a file of 20 million unique families or individuals looking for health insurance. The file contains more than 45 fields of self-reported information.