Telemarketing Data | United States US Telemarketing Contact Data | Phone Numbers | Emails | Direct Dials +95% Personal Email and Phone Data Accuracy
First name
|
Last name
|
Middle name
|
Full name
|
Job title
|
Seniority
|
Department
|
Primary role
|
Secondary role
|
Linkedin profile
|
Linkedin connection count
|
Work email
|
Work email history
|
Personal email
|
Personal email2
|
Personal email history
|
Direct dial
|
Mobile number
|
Mobile number history
|
Work number
|
Education
|
Skills
|
Interests
|
Linkedin headline
|
Facebook profile
|
Twitter profile
|
Work experience
|
Salary
|
Birth year
|
Age
|
Gender
|
New hire
|
Job start date
|
Company name
|
Company domain
|
Company website
|
Company linkedin profile
|
Company linkedin followers
|
Company local address
|
Company local city
|
Company local state
|
Company local address postal
|
Company hq address
|
Company hq city
|
Company hq state
|
Company hq postal
|
Person city
|
Person state
|
Person postal
|
Company employee range
|
Company revenue range
|
Company industry
|
Company sic4
|
Company sic4 description
|
Company naics
|
Company naics description
|
Company type
|
Work email status
|
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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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
First name
|
String | ||
Last name
|
String | ||
Middle name
|
|||
Full name
|
String | ||
Job title
|
String | Chief Executive Officer and President at Breeders' Cup Li... | |
Seniority
|
|||
Department
|
String | Business Management | |
Primary role
|
String | Business Management | |
Secondary role
|
|||
Linkedin profile
|
|||
Linkedin connection count
|
|||
Work email
|
String | ||
Work email history
|
String | [{work_email=dfleming@breederscup.com| yyyyqq=2024q2}] | |
Personal email
|
String | ||
Personal email2
|
|||
Personal email history
|
String | [{personal_email=robertandrewfleming@gmail.com| yyyyqq=20... | |
Direct dial
|
String | (606) 634-4695 | |
Mobile number
|
|||
Mobile number history
|
|||
Work number
|
String | (859) 223-5444 | |
Education
|
String | [{school=University of Kentucky J. David Rosenberg Colleg... | |
Skills
|
|||
Interests
|
|||
Linkedin headline
|
|||
Facebook profile
|
|||
Twitter profile
|
|||
Work experience
|
|||
Salary
|
|||
Birth year
|
Integer | 1985 | |
Age
|
Integer | ||
Gender
|
|||
New hire
|
|||
Job start date
|
|||
Company name
|
String | Breeders’ Cup World Championships | |
Company domain
|
String | breederscup.com | |
Company website
|
String | www.breederscup.com | |
Company linkedin profile
|
String | https://www.linkedin.com/company/breeders-cup-limited | |
Company linkedin followers
|
|||
Company local address
|
|||
Company local city
|
|||
Company local state
|
|||
Company local address postal
|
|||
Company hq address
|
String | 215 West Main St | |
Company hq city
|
String | Lexington | |
Company hq state
|
String | KY | |
Company hq postal
|
|||
Person city
|
String | Lexington | |
Person state
|
String | KY | |
Person postal
|
|||
Company employee range
|
String | 20 to 99 | |
Company revenue range
|
String | $1M to <$10M | |
Company industry
|
String | Organizations | |
Company sic4
|
Integer | 8699 | |
Company sic4 description
|
String | Membership organizations| nec | |
Company naics
|
Integer | 813990 | |
Company naics description
|
String | Other Similar Organizations (except Business| Professiona... | |
Company type
|
|||
Work email status
|
String | Contact email status is Domain is a catch all and does no... |
Description
Country Coverage
History
Volume
80 million | US mobile numbers |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License |
$50 / month |
Yearly License |
$480 / year |
Usage-based |
$0.05 / per contact |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
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Frequently asked questions
What is Telemarketing Data United States US Telemarketing Contact Data Phone Numbers Emails Direct Dials +95% Personal Email and Phone Data Accuracy?
Access high-quality US telemarketing data with verified phone numbers, direct dials, and emails. Over 95% accuracy on personal contact data for effective outreach.
What is Telemarketing Data United States US Telemarketing Contact Data Phone Numbers Emails Direct Dials +95% Personal Email and Phone Data Accuracy used for?
This product has 5 key use cases. Bytemine recommends using the data for Cold Outreach, Telemarketing, Omnichannel Marketing, CFO Tele Marketing, and Cold Calling. Global businesses and organizations buy Consumer Marketing Data from Bytemine to fuel their analytics and enrichment.
Who can use Telemarketing Data United States US Telemarketing Contact Data Phone Numbers Emails Direct Dials +95% Personal Email and Phone Data Accuracy?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Consumer Marketing Data. Get in touch with Bytemine to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Telemarketing Data United States US Telemarketing Contact Data Phone Numbers Emails Direct Dials +95% Personal Email and Phone Data Accuracy go?
This product has 5 years 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 Telemarketing Data United States US Telemarketing Contact Data Phone Numbers Emails Direct Dials +95% Personal Email and Phone Data Accuracy cover?
This product includes data covering 1 country like USA. Bytemine is headquartered in United States of America.
How much does Telemarketing Data United States US Telemarketing Contact Data Phone Numbers Emails Direct Dials +95% Personal Email and Phone Data Accuracy cost?
Pricing for Telemarketing Data United States US Telemarketing Contact Data Phone Numbers Emails Direct Dials +95% Personal Email and Phone Data Accuracy starts at USD0.05 per per contact. Connect with Bytemine to get a quote and arrange custom pricing models based on your data requirements.
How can I get Telemarketing Data United States US Telemarketing Contact Data Phone Numbers Emails Direct Dials +95% Personal Email and Phone Data Accuracy?
Businesses can buy Consumer Marketing Data from Bytemine and get the data via S3 Bucket, SFTP, Email, UI Export, REST API, Compressed File, and Google Cloud Storage. Depending on your data requirements and subscription budget, Bytemine can deliver this product in .csv, .json, .parquet, .sql, .xls, and .xml format.
What is the data quality of Telemarketing Data United States US Telemarketing Contact Data Phone Numbers Emails Direct Dials +95% Personal Email and Phone Data Accuracy?
Bytemine has reported that this product has the following quality and accuracy assurances: 95% accuracy. You can compare and assess the data quality of Bytemine using Datarade’s data marketplace.
What are similar products to Telemarketing Data United States US Telemarketing Contact Data Phone Numbers Emails Direct Dials +95% Personal Email and Phone Data Accuracy?
This product has 3 related products. These alternatives include Telemarketing Data Global Coverage +95% Email and Phone Data Accuracy, Phone Number Data, B2C Consumer Contact Enrichment USA, CCPA Compliant, and Phone Number Data & Telemarketing Data 170M Global Contacts - Best Price Guarantee. You can compare the best Consumer Marketing Data providers and products via Datarade’s data marketplace and get the right data for your use case.