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Fundraising & Donor 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 |
EMAIL |
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 | 36779700 | |
PRIMARY
|
Integer | 5105481657 | |
PRIMARY2
|
|||
NAME
|
String | Judith Daar | |
TITLE
|
|||
FIRST
|
String | Judith | |
MI
|
|||
LAST
|
String | Daar | |
SUFFIX
|
|||
ADDRESS1
|
String | 1641 Franklin St | |
ADDRESS2
|
|||
CITY
|
String | Berkeley | |
STATE
|
String | CA | |
ZIP_CODE
|
Integer | 94702 | |
AREAC
|
Integer | 510 | |
TZ
|
Integer | 4 | |
HI_AMOUNT
|
Float | 100.0 | |
LAST_DATE
|
String | 4/28/2024 | |
TM_REMITS
|
Integer | 46 | |
TM_CCs
|
Integer | 30 | |
TM_CONV
|
Float | 18.75 | |
DECEASED
|
Integer | 0 | |
OLD_PHONE
|
|||
EMAIL
|
|||
OCCUPATION
|
String | Retired | |
EMPLOYER
|
String | N/A | |
GENDER
|
Boolean | ||
AGE
|
|||
INCOME
|
|||
EDONOR
|
Integer | 0 | |
PARTY
|
String | I | |
POLITICAL
|
Integer | 1 | |
ADVOCACY
|
Integer | 1 | |
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 Searches
Related Products
Frequently asked questions
What is Fundraising & Donor Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match?
Fundraising & Donor 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 Fundraising & Donor 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 Voter Data from Gordon and Schwenkmeyer, Inc. to fuel their analytics and enrichment.
Who can use Fundraising & Donor 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 Voter 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 Fundraising & Donor 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 Fundraising & Donor 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 Fundraising & Donor Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match cost?
Pricing information for Fundraising & Donor 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 Fundraising & Donor Data Cross-Channel Targeting 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match?
Businesses can buy Voter 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 Fundraising & Donor 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 Fundraising & Donor 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 Fundraising & Donor Data Blue Wave Analytics 30+ years modeled for Conversion/Retention/Sustainer/Reactivation/X-Channel High Digital Match, Political Data Republicans Democrats USA 90mm records Interests, Demographics Email MAIDs HEMs Congressional District, and Accurate Append Verified US Fundraising & Donor Data Consumer Donation History High Match Rate Batch & API Delivery. You can compare the best Voter Data providers and products via Datarade’s data marketplace and get the right data for your use case.