BIGDBM US B2B Company and Employee Contact Data
# | CompanyId |
Company_Name |
Address |
City |
County |
ZIP5 |
ZIP4 |
Gender |
TITLE |
Department |
Level |
Rank |
Focus |
Carrier_Route |
Mailing_Address |
Mailing_Carrier_Route |
Mailing_City |
Mailing_State |
Mailing_ZIP4 |
Mailing_ZIP5 |
Latitude |
Longitude |
CBSA_Code |
Census_Block_Group |
Census_Tract |
County_Code |
Credit_Score |
CSA_Code |
DPBC |
FranchiseFlag |
FacebookURL |
LinkedInURL |
TwitterURL |
Company_Website |
Headquarters_Branch |
Home_Business |
Industry |
Num_PCs_Used |
Num_Employees |
MSA |
MSA_Name |
NAICS_CODE |
NAICS_Description |
NAICS_CODE2 |
NAICS_Description2 |
NAICS_CODE3 |
NAICS_Description3 |
SCF |
SIC_Code2 |
SIC_Code2_Description |
SIC_Code4 |
SIC_Code4_Description |
SIC_Code6 |
SIC_Code6_Description |
SIC_Code8 |
SIC_Code8_Description |
Parent_Company |
Parent_Company_Location |
Public_Private_Company |
Subsidiary_Company |
Residential_Business_Code |
Revenue_At_Site_Code |
Revenue_Range |
Revenue |
Sales_Volume |
Small_Business |
Square_Footage |
Stock_Exchange |
Stock_Ticker |
Year_Founded |
MinorityOwned |
Female_Owned_Or_Operated |
Franchise_Code |
DMA |
DMA_Name |
HQ_Address |
HQ_City |
HQ_Duns |
HQ_State |
HQ_ZIP5 |
HQ_ZIP4 |
Sector |
Duns_Number |
Date_First_Seen |
Date_Last_Seen |
|||||
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2 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | 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 | 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 | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx |
3 | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | 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 | 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 |
4 | xxxxxxx | Xxxxxx | 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 | 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 |
5 | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx |
6 | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx |
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8 | Xxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx |
9 | xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx |
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Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
CompanyId
|
Integer | 106219289 | |
Company_Name
|
String | CORPORATE EXPRESS US INC. STAPLES | |
Address
|
String | 1 Environmental Way | |
City
|
String | Broomfield | |
County
|
String | Jefferson | |
String | CO | State Name | |
ZIP5
|
Integer | 80021 | |
ZIP4
|
Integer | 3415 | |
String | Contact First Name | ||
String | Contact Last Name | ||
Gender
|
String | ||
TITLE
|
String | NULL | |
Department
|
String | NULL | |
Level
|
String | NULL | |
Rank
|
String | NULL | |
Focus
|
String | NULL | |
String | Email Address | ||
Integer | Phone Number | ||
Carrier_Route
|
String | C067 | |
Mailing_Address
|
|||
Mailing_Carrier_Route
|
String | NULL | |
Mailing_City
|
String | NULL | |
Mailing_State
|
String | NULL | |
Mailing_ZIP4
|
String | NULL | |
Mailing_ZIP5
|
String | NULL | |
Latitude
|
Float | 39.887 | |
Longitude
|
Float | -105.1015 | |
CBSA_Code
|
Integer | 19740 | |
Census_Block_Group
|
String | NULL | |
Census_Tract
|
String | NULL | |
County_Code
|
Integer | 8059 | |
Credit_Score
|
String | NULL | |
CSA_Code
|
String | NULL | |
DPBC
|
Integer | 15 | |
FranchiseFlag
|
String | NULL | |
FacebookURL
|
String | NULL | |
LinkedInURL
|
String | NULL | |
TwitterURL
|
String | NULL | |
Company_Website
|
String | corporateexpress.com | |
Headquarters_Branch
|
Integer | 1 | |
Home_Business
|
String | NULL | |
Industry
|
String | MANUFACTURING | |
Num_PCs_Used
|
String | NULL | |
Num_Employees
|
String | 5.000 TO 9.999 | |
MSA
|
Integer | 2082 | |
MSA_Name
|
String | DENVER-BOULDER-GREELEY CO CMSA | |
NAICS_CODE
|
Integer | 453210 | |
NAICS_Description
|
String | OFFICE SUPPLIES AND STATIONERY STORES | |
NAICS_CODE2
|
String | NULL | |
NAICS_Description2
|
String | NULL | |
NAICS_CODE3
|
String | NULL | |
NAICS_Description3
|
String | NULL | |
SCF
|
Integer | 800 | |
SIC_Code2
|
Integer | 59 | |
SIC_Code2_Description
|
String | MISCELLANEOUS RETAIL | |
SIC_Code4
|
Integer | 5943 | |
SIC_Code4_Description
|
String | STATIONERY STORES | |
SIC_Code6
|
String | NULL | |
SIC_Code6_Description
|
String | NULL | |
SIC_Code8
|
String | NULL | |
SIC_Code8_Description
|
String | NULL | |
Parent_Company
|
String | NULL | |
Parent_Company_Location
|
String | NULL | |
Public_Private_Company
|
Integer | 2 | |
Subsidiary_Company
|
String | NULL | |
Residential_Business_Code
|
String | NULL | |
Revenue_At_Site_Code
|
String | NULL | |
Revenue_Range
|
String | $200 MIL TO LESS THAN $1 BIL | |
Revenue
|
Integer | 1000000000 | |
Sales_Volume
|
String | LESS THAN $500.000 | |
Small_Business
|
String | NULL | |
Square_Footage
|
String | U | |
Stock_Exchange
|
String | NULL | |
Stock_Ticker
|
String | NULL | |
Year_Founded
|
Integer | 2008 | |
MinorityOwned
|
String | NULL | |
Female_Owned_Or_Operated
|
String | NULL | |
Franchise_Code
|
String | NULL | |
DMA
|
Integer | 751 | |
DMA_Name
|
String | DENVER | |
HQ_Address
|
String | 1 Environmental Way | |
HQ_City
|
String | Broomfield | |
HQ_Duns
|
String | NULL | |
HQ_State
|
String | CO | |
HQ_ZIP5
|
Integer | 80021 | |
HQ_ZIP4
|
Integer | 3415 | |
Sector
|
|||
Duns_Number
|
String | NULL | |
Date_First_Seen
|
String | 8/10/2019 | |
Date_Last_Seen
|
String | 4/27/2023 |
Description
Country Coverage
Volume
30 million | Companies |
125 million | Employees |
180 million | Phones |
110 million | Emails |
Pricing
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is BIGDBM US B2B Company and Employee Contact Data?
The B2B file offers comprehensive and accurate information with all the firmographic/company selections needed to target your ideal customer, in addition to employee contact data such as email, phone, job title, and LinkedIn URLs
What is BIGDBM US B2B Company and Employee Contact Data used for?
This product has 5 key use cases. BIGDBM recommends using the data for Advertising, Audience Insights, Identity Resolution, Identity-Based Targeting, and Consumer Data Enrichment. Global businesses and organizations buy B2B Leads Data from BIGDBM to fuel their analytics and enrichment.
Who can use BIGDBM US B2B Company and Employee Contact Data?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Leads Data. Get in touch with BIGDBM to see what their data can do for your business and find out which integrations they provide.
Which countries does BIGDBM US B2B Company and Employee Contact Data cover?
This product includes data covering 1 country like USA. BIGDBM is headquartered in United States of America.
How much does BIGDBM US B2B Company and Employee Contact Data cost?
Pricing information for BIGDBM US B2B Company and Employee Contact Data is available by getting in contact with BIGDBM. Connect with BIGDBM to get a quote and arrange custom pricing models based on your data requirements.
How can I get BIGDBM US B2B Company and Employee Contact Data?
Businesses can buy B2B Leads Data from BIGDBM and get the data via S3 Bucket and SFTP.
What is the data quality of BIGDBM US B2B Company and Employee Contact Data?
You can compare and assess the data quality of BIGDBM using Datarade’s data marketplace. BIGDBM appears on selected Datarade top lists ranking the best data providers, including Top 10 Identity & Device Graph Data Providers In the US.
What are similar products to BIGDBM US B2B Company and Employee Contact Data?
This product has 3 related products. These alternatives include BIGDBM US B2B2C (B2B-to-Consumer) Contact Data, Forager.ai - US Person B2B Contact Data 180M Records Refreshed 2x/Mo B2B Leads & Contacts Delivery Hourly via CSV/JSON/PostgreSQL DB Delivery, and B2B Contact Data 1,200,000+ B2B Email and Phone Data in Australia. You can compare the best B2B Leads Data providers and products via Datarade’s data marketplace and get the right data for your use case.