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B2B Contact Data | Cross-Channel Targeting | 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel | High Digital Match
# | CONTACTID |
PRIMARY |
PRIMARY2 |
NAME |
TITLE |
FIRST |
MI |
LAST |
SUFFIX |
ADDRESS1 |
ADDRESS2 |
CITY |
STATE |
ZIP_CODE |
AREAC |
TZ |
HI_AMOUNT |
LAST_DATE |
TM_REMITS |
TM_CCs |
TM_CONV |
DECEASED |
OLD_PHONE |
OCCUPATION |
EMPLOYER |
GENDER |
AGE |
INCOME |
EDONOR |
PARTY |
POLITICAL |
ADVOCACY |
CHARITABLE |
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx |
2 | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx |
3 | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx |
4 | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx |
5 | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx |
6 | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx |
7 | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx |
8 | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx |
9 | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx |
10 | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx |
... | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
CONTACTID
|
Integer | 30620982 | |
PRIMARY
|
Integer | 9497166248 | |
PRIMARY2
|
|||
NAME
|
String | Larry Bennett | |
TITLE
|
|||
FIRST
|
String | Larry | |
MI
|
|||
LAST
|
String | Bennett | |
SUFFIX
|
|||
ADDRESS1
|
String | 7 King Eider Ln | |
ADDRESS2
|
|||
CITY
|
String | Aliso Viejo | |
STATE
|
String | CA | |
ZIP_CODE
|
Integer | 92656 | |
AREAC
|
Integer | 949 | |
TZ
|
Integer | 4 | |
HI_AMOUNT
|
Float | 50.0 | |
LAST_DATE
|
String | 9/29/2023 | |
TM_REMITS
|
Integer | 1 | |
TM_CCs
|
Integer | 1 | |
TM_CONV
|
Float | 2.08 | |
DECEASED
|
Integer | 0 | |
OLD_PHONE
|
|||
String | Email Address | ||
OCCUPATION
|
|||
EMPLOYER
|
|||
GENDER
|
String | ||
AGE
|
|||
INCOME
|
|||
EDONOR
|
Integer | 0 | |
PARTY
|
String | D | |
POLITICAL
|
Integer | 1 | |
ADVOCACY
|
Integer | 0 | |
CHARITABLE
|
Integer | 0 |
Description
Country Coverage
History
Volume
28 million | records |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is B2B Contact Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match?
B2B Contact Data. Over 30 years of Democratic political and charitable telemarketing data, showcasing high-performing donor engagement across telemarketing, direct mail, and digital channels for impactful fundraising.
What is B2B Contact Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match used for?
This product has 5 key use cases. Gordon and Schwenkmeyer, Inc. recommends using the data for Direct Marketing, Telemarketing, Data Modeling, Sales Prospecting, and Fundraising. Global businesses and organizations buy Address Data from Gordon and Schwenkmeyer, Inc. to fuel their analytics and enrichment.
Who can use B2B Contact Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Address Data. Get in touch with Gordon and Schwenkmeyer, Inc. to see what their data can do for your business and find out which integrations they provide.
How far back does the data in B2B Contact Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match go?
This product has 30 years of historical coverage. It can be delivered on a on-demand basis.
Which countries does B2B Contact Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match cover?
This product includes data covering 1 country like USA. Gordon and Schwenkmeyer, Inc. is headquartered in United States of America.
How much does B2B Contact Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match cost?
Pricing information for B2B Contact Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match is available by getting in contact with Gordon and Schwenkmeyer, Inc.. Connect with Gordon and Schwenkmeyer, Inc. to get a quote and arrange custom pricing models based on your data requirements.
How can I get B2B Contact Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match?
Businesses can buy Address Data from Gordon and Schwenkmeyer, Inc. and get the data via SFTP and Email. Depending on your data requirements and subscription budget, Gordon and Schwenkmeyer, Inc. can deliver this product in .csv and .txt format.
What is the data quality of B2B Contact Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match?
Gordon and Schwenkmeyer, Inc. has reported that this product has the following quality and accuracy assurances: 100% Democratic Donors, 100% Phones and Addresses. You can compare and assess the data quality of Gordon and Schwenkmeyer, Inc. using Datarade’s data marketplace.
What are similar products to B2B Contact Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match?
This product has 3 related products. These alternatives include B2B Contact Data Democratic Donor Ecosystem 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel 20MM Donors, Email Address Data - 34M+ Verified Emails - 22M+ Direct Numbers - Updated monthly, and Success.ai B2B Contact Data 170M Global Work Emails & Phone Numbers – Best Price Guarantee. You can compare the best Address Data providers and products via Datarade’s data marketplace and get the right data for your use case.