Reverse Email Lookup | Person/Company Data Enrichment | Global Coverage | 50+ Data Points
# | email_type |
email_status |
email |
full_name |
first_name |
last_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 |
languages |
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 | |
email
|
String | ||
full_name
|
String | ||
first_name
|
String | ||
last_name
|
String | ||
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 | Sep-21 | |
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... | |
languages
|
|||
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
800 million | Valid Emails |
1 billion | Person records |
150 million | Direct Dial/Mobile Phone Numbers |
Pricing
License | Starts at |
---|---|
One-off purchase | Not available |
Monthly License | Not available |
Yearly License | Not available |
Usage-based |
$0.05 / person enriched |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Reverse Email Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points?
Enhance your email lists by uploading a CSV of email addresses, and we’ll enrich them with valuable data like names, LinkedIn profiles, company information, and more. Simply provide the email addresses, and our system will return additional insights to empower your marketing and sales efforts.
What is Reverse Email Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points used for?
This product has 5 key use cases. Wiza recommends using the data for Lead Generation, B2B Marketing, Consumer Data Enrichment, B2B Sales, and Contact Data Enrichment. Global businesses and organizations buy B2B Contact Data from Wiza to fuel their analytics and enrichment.
Who can use Reverse Email Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points?
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 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 Reverse Email Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points 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 Reverse Email Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points 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 Reverse Email Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points cost?
Pricing for Reverse Email Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points starts at USD0.05 per person enriched. Connect with Wiza to get a quote and arrange custom pricing models based on your data requirements.
How can I get Reverse Email Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points?
Businesses can buy B2B Contact 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 Reverse Email Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points?
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 Reverse Email Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points?
This product has 3 related products. These alternatives include Reverse Linkedin Profile URL Lookup Person/Company Data Enrichment Global Coverage 50+ Data Points, Forager.ai - Global B2B Person Data 720M LinkedIn Profiles Bi-Weekly Updates B2B Contacts Data Hourly Delivery via CSV, JSON, PostgreSQL, and OpenWeb Ninja Scrape Company Website for B2B Contact Data, B2B Email Data, Phone Numbers Data, & Social Profile Links Global API Real-Time. 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.