McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records
# | IP_Address |
Universal_LeadiD |
Trusted_Form_URL |
First_Name |
Last_Name |
Address |
City |
State |
Zip |
Primary_Phone |
Email |
Age |
Total_Debt |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx |
2 | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx |
3 | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx |
4 | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx |
5 | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx |
6 | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx |
7 | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx |
8 | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx |
9 | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxx |
10 | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx |
... | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
IP_Address
|
String | ||
Universal_LeadiD
|
5876b749-f35c-ff89-376a-c8ede3b46039 | ||
Trusted_Form_URL
|
String | https://cert.trustedform.com/647ed57f3dd96b7b67f5ba5b1b51... | |
First_Name
|
String | ||
Last_Name
|
String | ||
Address
|
String | 10603 Southdown Trace Trail #604 Houston, TX 77034 | |
City
|
String | Houston | |
State
|
String | TX | |
Zip
|
Integer | 77007 | |
Primary_Phone
|
Integer | 3462835353 | |
Email
|
String | ||
Age
|
Integer | ||
Total_Debt
|
Integer | 10001 |
Description
Country Coverage
History
Volume
50,000 | Monthly New Records |
273 | Million Consumer Records |
Pricing
License | Starts at |
---|---|
One-off purchase | Available |
Monthly License | Available |
Yearly License | Available |
Usage-based | Not available |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records?
The McGRAW consumer database features over 273 million consumer records, segmented by age, debt amount, and debt type with an average consumer credit card debt of $17,000. This dataset highlights high-value, high-intent consumers actively seeking relief and organized by debt age.
What is McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records used for?
This product has 5 key use cases. McGRAW recommends using the data for Credit Scoring, Financial Services, Credit Analysis, Debt Relief, and Debt Refinance. Global businesses and organizations buy Consumer Credit Rating Data from McGRAW to fuel their analytics and enrichment.
Who can use McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Credit Rating Data. Get in touch with McGRAW to see what their data can do for your business and find out which integrations they provide.
How far back does the data in McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records go?
This product has 12 months of historical coverage. It can be delivered on a secondly, minutely, hourly, daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records cover?
This product includes data covering 1 country like USA. McGRAW is headquartered in United States of America.
How much does McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records cost?
Pricing information for McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records is available by getting in contact with McGRAW. Connect with McGRAW to get a quote and arrange custom pricing models based on your data requirements.
How can I get McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records?
Businesses can buy Consumer Credit Rating Data from McGRAW and get the data via SFTP, Email, UI Export, and Feed API. Depending on your data requirements and subscription budget, McGRAW can deliver this product in .xml, .csv, .xls, .sql, and .txt format.
What is the data quality of McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records?
McGRAW has reported that this product has the following quality and accuracy assurances: 95% Email Deliverability. You can compare and assess the data quality of McGRAW using Datarade’s data marketplace. McGRAW has received 3 reviews from clients.
What are similar products to McGRAW Debt and Consumer Spending Data┃Real Time & Aged Debt Leads┃273MM Records?
This product has 3 related products. These alternatives include McGRAW Opt-In Automotive Data Consumer Data & Leads┃Real Time & Aged Automotive Data & Leads┃Mailing Lists┃1MM Automotive Insurance Leads Monthly, Versium REACH - Consumer Lifestyle and Interest (Investing, Health and Fitness, Purchase Data, etc) Append API, USA, CCPA Compliant, and Crawlbee Consumer Marketing Data Versatile B2C Contact Data API & Dataset US Household, Housing, Mortgage Data. You can compare the best Consumer Credit Rating Data providers and products via Datarade’s data marketplace and get the right data for your use case.