Success.ai | Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices
# | Departments |
Education Level |
Campus of Education |
Education End Date |
Major Field of Study |
Sequence Number of Education |
Specialization in Education |
Education Start Date |
University Profile URL |
Email Status |
Employment History |
Employment End Date |
Employment Start Date |
ID |
Latest Funding Round Date |
||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx |
2 | 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 |
3 | 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 |
4 | 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 |
5 | 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 |
6 | 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 |
7 | 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 |
8 | 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 |
9 | 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 |
10 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
String | Contact First Name | ||
String | Contact Last Name | ||
String | Berlin | City Name | |
String | United Kingdom | Country Name | |
Departments
|
|||
Education Level
|
|||
Campus of Education
|
String | Woodford County High School For Girls | |
Education End Date
|
|||
Major Field of Study
|
|||
Sequence Number of Education
|
Integer | 1 | |
Specialization in Education
|
|||
Education Start Date
|
|||
University Profile URL
|
|||
String | Contact Work Email Address | ||
Email Status
|
String | verified | |
Employment History
|
|||
Text | Job Description | ||
Employment End Date
|
|||
String | Kkr | Company Name | |
Employment Start Date
|
|||
String | Executive Assistant | Job Title | |
String | bloomberg | Job Function | |
ID
|
String | 24a4ecdb-943e-4f68-9f3a-8a8692ed3786 | |
String | German | Language Name | |
String | Contact LinkedIn | ||
String | Contact Full Name | ||
String | Berlin | City Name | |
String | United Kingdom | Country Name | |
Integer | 2999 | Company Employee Count | |
String | 1cc52281-2a69-4c8d-9596-ad989bf83129 | Company ID | |
String | Miscellaneous personal services | Company Industry | |
Latest Funding Round Date
|
|||
String | Kkr | Company Name | |
String | kkr.com | Company Domain | |
String | California | State Name | |
String | kkr.com | Company Website | |
String | Contact Email Address | ||
String | California | State Name | |
String | EA | Job Title |
Description
Country Coverage
Volume
150 million | Verified employee profiles |
170 million | Work emails |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License | Not available |
Usage-based |
$0.05 / 100 leads |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Products
Frequently asked questions
What is Success.ai Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices?
Unlock advanced online marketing and competitive intelligence with Success.ai’s detailed email address data and phone data, featuring essential B2B and B2C contact details and exclusive CEO contacts. Our data ensures superior data enrichment for robust sales strategies, at Unbeatable Prices!
What is Success.ai Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices used for?
This product has 5 key use cases. Success.ai recommends using the data for Online Marketing, Data Enrichment, Competitive Intelligence, B2B Data Enrichment, and Sales Data Enrichment. Global businesses and organizations buy B2B Contact Data from Success.ai to fuel their analytics and enrichment.
Who can use Success.ai Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Contact Data. Get in touch with Success.ai to see what their data can do for your business and find out which integrations they provide.
Which countries does Success.ai Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices cover?
This product includes data covering 241 countries like USA, China, Japan, Germany, and India. Success.ai is headquartered in United States of America.
How much does Success.ai Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices cost?
Pricing for Success.ai Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices starts at USD0.05 per 100 leads. Connect with Success.ai to get a quote and arrange custom pricing models based on your data requirements.
How can I get Success.ai Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices?
Businesses can buy B2B Contact Data from Success.ai and get the data via Email, UI Export, REST API, and Feed API. Depending on your data requirements and subscription budget, Success.ai can deliver this product in .bin, .json, .xml, .csv, .xls, .sql, and .txt format.
What is the data quality of Success.ai Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices?
Success.ai has reported that this product has the following quality and accuracy assurances: 99% Accuracy. You can compare and assess the data quality of Success.ai using Datarade’s data marketplace. Success.ai has received 4 reviews from clients.
What are similar products to Success.ai Global Email Address Data – 170M Records with Phone, B2B & B2C Details, at Unbeatable Prices?
This product has 3 related products. These alternatives include Global Email Address Data 170M Records with Email Address + Phone Data Unbeatable Price, Global Mobile Phone Number Data 90M+ 95% Accuracy API Bi-Weekly Updates, and B2B Contact Data from Company Website B2B Email Data, Phone Number Data, Social Links Real-Time API. You can compare the best B2B Contact Data providers and products via Datarade’s data marketplace and get the right data for your use case.