RevenueBase | AI/ML Model Data | 15 Million Global Companies
# | Linkedin URL Person |
Person Full Name |
Job Title |
Company Name |
Cellphone |
Email Address |
Organization Street |
Organization City |
Organization State |
Organization State Code |
Organization Country |
Organization Country Code |
Organization Postcode |
Organization Region |
Organization Domain |
Linkedin URL Organization |
Email Status |
First Name |
Middle Name |
Last Name |
Job Level |
Job Function |
Persona |
About Me |
Languages |
Education |
Linkedin Headline |
Job Description |
Person Job Start Date |
Job is Current |
Job Count |
Linkedin Person Industry |
Certifications |
Personal Websites |
Publications |
Email Domain |
Total Funding Amount |
Last Funding Amount |
Last Funding Type |
Organization Lead Investors |
Funding Round Number of Investors |
Revenue Range |
Employee Linkedin Count Range |
Employee Profiles On Linkedin |
Linkedin Company Industry |
Industry NAICS Code |
Industry NAICS Description |
Industry SIC Code |
Industry SIC Description |
LinkedIn About Us |
Linkedin Organization Specialties |
Employee Count Min |
Employee Count Max |
Employee Linkedin Percent Growth Rate |
Revenue Min |
Revenue Max |
Organization Year Founded |
Organization Website |
Company Name Language |
Company Legal Type |
Company Entity Type |
Number Of Locations On Linkedin |
Organization City HQ |
Organization State HQ |
Organization Country HQ |
Person City |
Person State Code |
Person Country |
Person Country Code |
Person Region |
Person Continent |
G2 Martech Categories |
Email Hosting Technographics |
Email Security Technographics |
Development Technographics |
E-Commerce Platform Technographics |
Marketing Automation Tech |
Analytics Technographics |
ABM Technographics |
Application Security Technographics |
Sales Automation Technographics |
Conversation Intelligence Technographics |
Cloud Provider Technographics |
Cloud Security Technographics |
CMS Technographics |
CRM Technographics |
Total Monthly Web Traffic |
Monthly Google Adspend Dollars |
Monthly Organic Traffic Dollars |
Monthly Paid Traffic Dollars |
Customer Success Team Size |
iOS Dev Team Size |
IT Role Team Size |
Marketing Role Team Size |
Mobile Dev Role Team Size |
Network Infrastructure Role Team Size |
Operations Role Team Size |
Android Dev Role Count |
GRC Team Size |
Devops Role Team Size |
Number Of Business Development Roles |
QA Role Team Size |
Sales Team Size |
Security Team Size |
Engineer Role Team Size |
Account Executive Open Roles Count |
Business Development Open Roles Count |
Customer Success Open Roles Count |
Demand Generation Open Roles Count |
Devops Open Roles Count |
GRC Open Roles Count |
IT Open Roles Count |
Marketing Open Roles Count |
Network Infrastructure Open Roles Count |
Operations Open Roles Count |
Sales Open Roles Count |
Security Open Roles |
Organization Has CIO |
Organization Has CISO |
Has Mobile App |
Has Web App |
Top Appleappstore URL |
Top Appstore Rating |
Top Appstore Review Count |
Top Playstore Rating |
Top Playstore Review Count |
Top Playstore URL |
Playstore App Category |
Playstore Download Count |
Last Appstore Update |
Last Playstore Update |
Appstore App Category |
Appstore Number Of Updates |
Total Appstore and Play Review Count |
Is Linkedin URL For Sale |
Is Website For Sale |
Job Location City |
Job Location State |
Job Location Country |
Job Location Country Code |
Job Location Continent |
Job Location Region |
Company Location Street |
Company Location State Name |
Company Location State Code |
Company Location Postal Code |
Company Country Name |
Company Country Code |
Company Continent |
Company Region |
Person Has Cellphone Number |
Person Has Direct Phone Number |
Person Has Email |
Valid Email Count |
Rbid Organization |
Rbid Person |
Rbid Person And Organization |
Last Funding Date |
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2 | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | 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 | 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 | 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 |
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4 | 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 | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx |
5 | 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 | 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 |
6 | xxxxxx | xxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxx | xxxxx | xxxxxxxx | xxxxx | Xxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx |
7 | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxx | xxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx |
8 | xxxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxx | xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxx | xxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxxx |
9 | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxx | Xxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | xxxxx | Xxxxxx | Xxxxxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxx | Xxxxx | xxxxx | xxxxxx | xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx |
10 | xxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | xxxxxx | xxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxx | xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | Xxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | xxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxx |
... | xxxxxxxx | xxxxxxxxx | xxxxx | xxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxx | Xxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | Xxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
Linkedin URL Person
|
String | https://www.linkedin.com/in/vasyadostoinov | |
Person Full Name
|
String | Vasya Dostoinov | |
Job Title
|
String | Managing Partner | |
Company Name
|
String | Gartner | |
Cellphone
|
String | +1 484-802-1272 | |
Email Address
|
String | ||
Organization Street
|
String | 56 Top Gallant Street | |
Organization City
|
String | Stamford | |
Organization State
|
String | Connecticut | |
Organization State Code
|
String | CT | |
Organization Country
|
String | United States | |
Organization Country Code
|
String | US | |
Organization Postcode
|
Float | 6904.0 | |
Organization Region
|
String | NORAM | |
Organization Domain
|
String | gartner.com | |
Linkedin URL Organization
|
String | https://www.linkedin.com/company/gartner | |
Email Status
|
String | VALID | |
First Name
|
String | ||
Middle Name
|
String | ||
Last Name
|
String | ||
Job Level
|
String | C-Team | |
Job Function
|
String | General Business & Management | |
Persona
|
String | No Persona Mapped | |
About Me
|
String | As a Managing Partner with Gartner Consulting, I work wit... | |
Languages
|
String | [{"language":"ukrainian","proficiency":"native or bilingu... | |
Education
|
String | [{"degree":"BA, Economics","end_date":"2001-01-01","linke... | |
Linkedin Headline
|
String | Managing Partner, Manufacturing, CPG/Retail, Utilities, E... | |
Job Description
|
String | I am part of Gartner Consulting's segment where I work wi... | |
Person Job Start Date
|
DateTime | 2024-01-01T00:00:00+00:00 | |
Job is Current
|
Boolean | t | |
Job Count
|
Integer | 9 | |
Linkedin Person Industry
|
String | Information Technology & Services | |
Certifications
|
String | ||
Personal Websites
|
String | ||
Publications
|
String | ||
Email Domain
|
String | gartner.com | |
Total Funding Amount
|
String | ||
Last Funding Amount
|
String | ||
Last Funding Type
|
String | ||
Organization Lead Investors
|
String | ||
Funding Round Number of Investors
|
String | ||
Revenue Range
|
String | $1B+ | |
Employee Linkedin Count Range
|
String | 10001+ | |
Employee Profiles On Linkedin
|
Integer | 23255 | |
Linkedin Company Industry
|
String | Information Services | |
Industry NAICS Code
|
String | 611710;541720;541910 | |
Industry NAICS Description
|
String | Educational Support Services;Research and Development in ... | |
Industry SIC Code
|
String | ||
Industry SIC Description
|
String | ||
LinkedIn About Us
|
String | We deliver actionable, objective insight to executives an... | |
Linkedin Organization Specialties
|
String | ||
Employee Count Min
|
Integer | 10001 | |
Employee Count Max
|
String | ||
Employee Linkedin Percent Growth Rate
|
Integer | 1 | |
Revenue Min
|
Integer | 1000000000 | |
Revenue Max
|
String | ||
Organization Year Founded
|
Integer | 1979 | |
Organization Website
|
String | https://www.gartner.com | |
Company Name Language
|
String | en | |
Company Legal Type
|
String | ||
Company Entity Type
|
String | Public Company | |
Number Of Locations On Linkedin
|
Integer | 24 | |
Organization City HQ
|
String | Stamford | |
Organization State HQ
|
String | Connecticut | |
Organization Country HQ
|
String | United States | |
Person City
|
String | Fulshear | |
Person State Code
|
String | TX | |
Person Country
|
String | United States | |
Person Country Code
|
String | US | |
Person Region
|
String | NORAM | |
Person Continent
|
String | North America | |
G2 Martech Categories
|
String | Vendor Analysis & Management | |
Email Hosting Technographics
|
String | Microsoft | |
Email Security Technographics
|
String | Mimecast;Proofpoint;Symantec;Fortinet | |
Development Technographics
|
String | Couchbase | |
E-Commerce Platform Technographics
|
String | ||
Marketing Automation Tech
|
String | Hubspot;Marketo;Pardot | |
Analytics Technographics
|
String | Tableau;Looker;Qlik;Segment | |
ABM Technographics
|
String | Demandbase;6Sense;Terminus;Engagio;Triblio | |
Application Security Technographics
|
String | Checkmarx;Synopsys;Veracode | |
Sales Automation Technographics
|
String | Salesloft;Outreach | |
Conversation Intelligence Technographics
|
String | Gong | |
Cloud Provider Technographics
|
String | Microsoft Azure;Oracle Cloud;IBM Cloud | |
Cloud Security Technographics
|
String | Sysdig;Wiz;Lacework | |
CMS Technographics
|
String | Hubspot;Wordpress;Wix;Drupal;Adobe Experience Manager;Opt... | |
CRM Technographics
|
String | Hubspot;Microsoft Dynamics;SugarCRM | |
Total Monthly Web Traffic
|
Integer | 1538067 | |
Monthly Google Adspend Dollars
|
Integer | 25140 | |
Monthly Organic Traffic Dollars
|
Integer | 1536000 | |
Monthly Paid Traffic Dollars
|
Integer | 2067 | |
Customer Success Team Size
|
Integer | 1028 | |
iOS Dev Team Size
|
Integer | 0 | |
IT Role Team Size
|
Integer | 2808 | |
Marketing Role Team Size
|
Integer | 1018 | |
Mobile Dev Role Team Size
|
Integer | 1 | |
Network Infrastructure Role Team Size
|
Integer | 194 | |
Operations Role Team Size
|
Integer | 160 | |
Android Dev Role Count
|
Integer | 0 | |
GRC Team Size
|
Integer | 31 | |
Devops Role Team Size
|
Integer | 35 | |
Number Of Business Development Roles
|
Integer | 87 | |
QA Role Team Size
|
Integer | 112 | |
Sales Team Size
|
Integer | 5864 | |
Security Team Size
|
Integer | 60 | |
Engineer Role Team Size
|
Integer | 910 | |
Account Executive Open Roles Count
|
Integer | 280 | |
Business Development Open Roles Count
|
Integer | 146 | |
Customer Success Open Roles Count
|
Integer | 63 | |
Demand Generation Open Roles Count
|
Integer | 23 | |
Devops Open Roles Count
|
Integer | 15 | |
GRC Open Roles Count
|
Integer | 2 | |
IT Open Roles Count
|
Integer | 186 | |
Marketing Open Roles Count
|
Integer | 62 | |
Network Infrastructure Open Roles Count
|
Integer | 18 | |
Operations Open Roles Count
|
Integer | 13 | |
Sales Open Roles Count
|
Integer | 761 | |
Security Open Roles
|
Integer | 16 | |
Organization Has CIO
|
Boolean | t | |
Organization Has CISO
|
Boolean | t | |
Has Mobile App
|
Boolean | t | |
Has Web App
|
String | Unknown | |
Top Appleappstore URL
|
String | https://apps.apple.com/us/app/gartner-events/id443990407 | |
Top Appstore Rating
|
Float | 4.5 | |
Top Appstore Review Count
|
Integer | 635 | |
Top Playstore Rating
|
String | ||
Top Playstore Review Count
|
String | ||
Top Playstore URL
|
String | ||
Playstore App Category
|
String | ||
Playstore Download Count
|
String | ||
Last Appstore Update
|
DateTime | 2022-08-20T00:00:00+00:00 | |
Last Playstore Update
|
String | ||
Appstore App Category
|
String | ||
Appstore Number Of Updates
|
Integer | 25 | |
Total Appstore and Play Review Count
|
Integer | 635 | |
Is Linkedin URL For Sale
|
Boolean | t | |
Is Website For Sale
|
Boolean | f | |
Job Location City
|
String | Houston | |
Job Location State
|
String | Texas | |
Job Location Country
|
String | United States | |
Job Location Country Code
|
String | US | |
Job Location Continent
|
String | North America | |
Job Location Region
|
String | NORAM | |
Company Location Street
|
String | 56 Top Gallant Street | |
Company Location State Name
|
String | Connecticut | |
Company Location State Code
|
String | CT | |
Company Location Postal Code
|
Float | 6904.0 | |
Company Country Name
|
String | United States | |
Company Country Code
|
String | US | |
Company Continent
|
String | North America | |
Company Region
|
String | NORAM | |
Person Has Cellphone Number
|
Boolean | t | |
Person Has Direct Phone Number
|
Boolean | t | |
Person Has Email
|
Boolean | t | |
Valid Email Count
|
Integer | 12448 | |
Rbid Organization
|
String | rb-oacmtupe3 | |
Rbid Person
|
String | rb-pacnshk6p | |
Rbid Person And Organization
|
String | rb-pacnshk6p-rb-oacmtupe3 | |
Last Funding Date
|
String |
Description
Country Coverage
History
Volume
15 million | Global Companies |
150 million | Contacts |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License |
$15,000$14,400 / year |
Usage-based | Not available |
Suitable Company Sizes
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is RevenueBase AI/ML Model Data 15 Million Global Companies?
Power your AI and Machine Learning (ML) models with accurate and up-to-date global company data. RevenueBase offers comprehensive company location data on 15 million businesses, providing the foundation for precise AI training.
What is RevenueBase AI/ML Model Data 15 Million Global Companies used for?
This product has 5 key use cases. RevenueBase recommends using the data for Artificial Intelligence (AI), Machine Learning (ML), Market Research, Sales Intelligence, and B2B Lead Generation. Global businesses and organizations buy Company Data from RevenueBase to fuel their analytics and enrichment.
Who can use RevenueBase AI/ML Model Data 15 Million Global Companies?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Company Data. Get in touch with RevenueBase to see what their data can do for your business and find out which integrations they provide.
How far back does the data in RevenueBase AI/ML Model Data 15 Million Global Companies go?
This product has 1 years of historical coverage. It can be delivered on a weekly, monthly, quarterly, and yearly basis.
Which countries does RevenueBase AI/ML Model Data 15 Million Global Companies cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. RevenueBase is headquartered in United States of America.
How much does RevenueBase AI/ML Model Data 15 Million Global Companies cost?
Pricing for RevenueBase AI/ML Model Data 15 Million Global Companies starts at USD15,000 per year. RevenueBase offers a 4% discount when you buy data from them through Datarade. Connect with RevenueBase to get a quote and arrange custom pricing models based on your data requirements.
How can I get RevenueBase AI/ML Model Data 15 Million Global Companies?
Businesses can buy Company Data from RevenueBase and get the data via S3 Bucket, SFTP, and UI Export. Depending on your data requirements and subscription budget, RevenueBase can deliver this product in .json and .csv format.
What is the data quality of RevenueBase AI/ML Model Data 15 Million Global Companies?
You can compare and assess the data quality of RevenueBase using Datarade’s data marketplace.
What are similar products to RevenueBase AI/ML Model Data 15 Million Global Companies?
This product has 3 related products. These alternatives include Forager.ai- Company Funding Data 61M Global Company Data Records Bi-Weekly Updates Historical Coverage Hourly Delivery CSV, JSON, PostgreSQL, Real-Time Sourced & Verified B2B Company Data Global Coverage (100M+) 20+ Datapoints Headcount, Funding, Industry, Geography, Revenue etc, and RevenueBase Machine Learning Training Data 15M+ Companies. You can compare the best Company Data providers and products via Datarade’s data marketplace and get the right data for your use case.