Real-Time Verified Search Fund Data | 200mm US Records | Personal Emails & 100mm Mobile Phone Numbers | Live-Sourced Linkedin Data
# | email_type |
email_status |
full_name |
title |
location |
locality |
region |
country |
linkedin |
domain |
phone_number1 |
phone_number2 |
phone_number3 |
mobile_phone1 |
other_phone1 |
personal_email1 |
company |
linkedin_profile_url |
company_domain |
company_industry |
company_subindustry |
company_size |
company_size_range |
company_founded |
company_revenue |
company_funding |
company_type |
company_linkedin |
company_twitter |
company_facebook |
company_description |
company_last_funding_round |
company_last_funding_amount |
company_last_funding_at |
company_location |
company_street |
company_locality |
company_region |
company_country |
sub_title |
summary |
months_at_current_position |
months_at_current_company |
current_job_description |
is_premium |
Open_to_Work |
person_industry |
skills |
certifications |
education |
work_history |
||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx |
2 | 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 |
3 | 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 |
4 | 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 |
5 | 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 |
6 | 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 |
7 | 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 |
8 | 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 |
9 | 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 |
10 | 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 |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
email_type
|
String | work | |
email_status
|
String | valid | |
String | Email Address | ||
full_name
|
String | ||
String | Contact First Name | ||
String | Contact Last Name | ||
title
|
String | Vice President of Product Management | |
location
|
String | Fremont, California, United States | |
locality
|
String | Fremont | |
region
|
String | California | |
country
|
String | United States | |
linkedin
|
String | https://www.linkedin.com/in/kiranprabhakara | |
domain
|
String | fivetran.com | |
phone_number1
|
Integer | ||
phone_number2
|
Integer | ||
phone_number3
|
Integer | ||
mobile_phone1
|
Integer | 15106766469 | |
other_phone1
|
Integer | 15105050474 | |
personal_email1
|
String | ||
company
|
String | Fivetran | |
linkedin_profile_url
|
String | https://www.linkedin.com/in/kiranprabhakara | |
company_domain
|
String | fivetran.com | |
company_industry
|
String | Software Development | |
company_subindustry
|
String | Analytics | |
company_size
|
Integer | 1001 | |
company_size_range
|
String | 1001 to 5000 | |
company_founded
|
Integer | 2012 | |
company_revenue
|
String | $108,000,000 | |
company_funding
|
String | $728,000,000 | |
company_type
|
String | private | |
company_linkedin
|
String | https://www.linkedin.com/company/fivetran | |
company_twitter
|
String | https://twitter.com/fivetran | |
company_facebook
|
String | https://www.facebook.com/fivetran | |
company_description
|
String | Effortlessly centralize all the data you need so your tea... | |
company_last_funding_round
|
String | Series D | |
company_last_funding_amount
|
String | $565,000,000 | |
company_last_funding_at
|
String | 2021-09 | |
company_location
|
String | Oakland, California, United States | |
company_street
|
String | 1221 Broadway St | |
company_locality
|
String | Oakland | |
company_region
|
String | California | |
company_country
|
String | United States | |
sub_title
|
String | Product management and Strategy Leader | B2B SaaS | Fivet... | |
summary
|
String | Kiran is an accomplished product leader with strong exper... | |
months_at_current_position
|
Integer | 8 | |
months_at_current_company
|
Integer | 8 | |
current_job_description
|
String | Lead product management for Fivetran's automated data mov... | |
is_premium
|
Boolean | t | |
Open_to_Work
|
Boolean | f | |
person_industry
|
String | Computer Software | |
skills
|
String | ["Enterprise Software", "SaaS", "Product Management", "Bu... | |
String | German | Language Name | |
certifications
|
String | [{"name":"The Science of Leadership","date":{"start":{"mo... | |
education
|
String | [{"date":{"start":{"month":null,"day":null,"year":null},"... | |
work_history
|
String | [{"company":{"id":3954657,"name":"Fivetran","logo":"https... |
Attribute | Type | Example | Mapping |
---|---|---|---|
Email Type
|
String | work | |
Email Status
|
String | valid | |
String | Contact Email Address | ||
String | Contact Email Address | ||
String | Contact Full Name | ||
String | Contact First Name | ||
String | Contact Last Name | ||
String | Founder & CEO | Contact Job Title | |
String | New York, New York, United States | Location Name | |
String | New York | City Name | |
String | New York | State Name | |
String | United States | Country Name | |
String | Contact LinkedIn | ||
Integer | Contact Phone Number | ||
Integer | Contact Phone Number | ||
Integer | Contact Phone Number | ||
Integer | Contact Mobile Phone Number | ||
Integer | Company Phone Number | ||
String | https://wiza.co/ | Company Domain | |
String | Wiza | Company Name | |
String | Software Development | Company Industry | |
String | Lead Generation Software | Company Industry | |
Integer | 15 | Company Employee Count | |
Text | 11-50 | Company Employee Count | |
company founded
|
Integer | 2019 | |
Integer | 10000000 | Company Annual Revenue | |
company funding
|
Integer | 0 | |
company type
|
String | Private | |
String | https://www.linkedin.com/company/wizainc/ | Company LinkedIn | |
company twitter
|
String | https://x.com/wiza_co?lang=en | |
company facebook
|
String | https://www.facebook.com/p/Wiza-100057334364194/ | |
String | The world's most accurate source of contact data | Company Description | |
company_last_funding_round
|
String | Series A | |
company_last_funding_amount
|
String | 20000000 | |
company_last_funding_at
|
Date | 2021-06 | |
String | Newark, Delaware, United States | Company Address | |
String | 2035 Sunset Lake Road | Company Address | |
String | Newark | Company Address | |
String | Delaware | Company Address | |
String | United States | Company Address | |
Linkedin Subtitle
|
String | Founder & CEO of Wiza | |
Linkedin summary
|
String | After a short career in sales, I created Wiza to help sal... | |
Linkedin months in position
|
Integer | 60 | |
Linkedin months at company
|
Integer | 60 | |
String | Wiza is a prospecting tool in a league of it's own, helpi... | Job Description | |
Linkedin is_premium
|
Boolean | TRUE | |
Linkedin Open to work
|
Boolean | FALSE | |
Linkedin person industry
|
String | Internet | |
Linkedin skills
|
Text | ["Go-to-Market Strategy", "Analytics", "Project Managemen... | |
Linkedin Languages
|
Text | [{"name":"English","proficiency":"NATIVE_OR_BILINGUAL"},{... | |
Linkedin certifications
|
Text | [{"name":"California License Solar Contractor","date":{"s... | |
Linkedin education
|
Text | [{"date":{"start":{"month":null,"day":null,"year":2012},"... | |
Linkedin work history
|
Text | [{"company":{"id":157261,"name":"Danaher Corporation","lo... |
Description
Country Coverage
History
Volume
1 billion | Contacts |
150 million | Direct Dial Phone Numbers |
800 million | Valid Emails |
500 million | Personal Emails |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License |
$199 / month |
Yearly License |
$1,990 / year |
Usage-based |
$0.05 / API Call |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Real-Time Verified Search Fund Data 200mm US Records Personal Emails & 100mm Mobile Phone Numbers Live-Sourced Linkedin Data?
Wiza provides Data for Search Funds and Investors that is sourced and verified in real-time. We leverage Linkedin Data (1+ billion global profiles) as the basis of our Search Fund Data, which allows us to achieve (1) access to the most contacts, (2) 99% job title accuracy, and (3) 0% bounces.
What is Real-Time Verified Search Fund Data 200mm US Records Personal Emails & 100mm Mobile Phone Numbers Live-Sourced Linkedin Data used for?
This product has 5 key use cases. Wiza recommends using the data for Investing, Cold Outreach, Alternative Investment, Deal Sourcing, and Company Data Enrichment. Global businesses and organizations buy Private Company Data from Wiza to fuel their analytics and enrichment.
Who can use Real-Time Verified Search Fund Data 200mm US Records Personal Emails & 100mm Mobile Phone Numbers Live-Sourced Linkedin Data?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Private Company Data. Get in touch with Wiza to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Real-Time Verified Search Fund Data 200mm US Records Personal Emails & 100mm Mobile Phone Numbers Live-Sourced Linkedin Data go?
This product has 0 days of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Real-Time Verified Search Fund Data 200mm US Records Personal Emails & 100mm Mobile Phone Numbers Live-Sourced Linkedin Data cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Wiza is headquartered in United States of America.
How much does Real-Time Verified Search Fund Data 200mm US Records Personal Emails & 100mm Mobile Phone Numbers Live-Sourced Linkedin Data cost?
Pricing for Real-Time Verified Search Fund Data 200mm US Records Personal Emails & 100mm Mobile Phone Numbers Live-Sourced Linkedin Data starts at USD0.05 per API Call. Connect with Wiza to get a quote and arrange custom pricing models based on your data requirements.
How can I get Real-Time Verified Search Fund Data 200mm US Records Personal Emails & 100mm Mobile Phone Numbers Live-Sourced Linkedin Data?
Businesses can buy Private Company Data from Wiza and get the data via S3 Bucket, Email, and REST API. Depending on your data requirements and subscription budget, Wiza can deliver this product in .csv and .xls format.
What is the data quality of Real-Time Verified Search Fund Data 200mm US Records Personal Emails & 100mm Mobile Phone Numbers Live-Sourced Linkedin Data?
Wiza has reported that this product has the following quality and accuracy assurances: 99% email deliverability, 97% job title accuracy, 85% match rate. You can compare and assess the data quality of Wiza using Datarade’s data marketplace. Wiza has received 2 reviews from clients.
What are similar products to Real-Time Verified Search Fund Data 200mm US Records Personal Emails & 100mm Mobile Phone Numbers Live-Sourced Linkedin Data?
This product has 3 related products. These alternatives include Real-Time Sourced & Verified Recruiting Data Global Coverage 1BN+ Records Personal Emails & Mobile Phone Numbers Access Live Linkedin Data, Success.ai B2B Contact Data - Emails & Phone Numbers – APIs - 170M+, Verified Profiles - Best Price Guarantee, and Forager.ai - Global Mobile Phone Number Data API & Dataset 89M Mobile Numbers 95%+ Accurate Phone #s Bi-weekly Updates B2C Contact Data. You can compare the best Private Company Data providers and products via Datarade’s data marketplace and get the right data for your use case.