Real-Time Verified Search Fund Data | 200mm US Records | Personal Emails & 100mm Mobile Phone Numbers | Live-Sourced Linkedin Data
Verified Data Provider| # | 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 |
Volume
1B
Contacts
Data Quality
99%
email deliverability
Avail. Formats
.csv and .xls
File
Coverage
249
Countries
History
0
days
Data Dictionary
[Sample] Wiza_Data_Sample (1).csv
| 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... |
Product Attributes
| 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
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.
Stop relying on outdated and inaccurate databases and let Wiza be your source of truth for all deal sourcing and founder / CEO outreach.
Why we're different: The search fund market is dynamic and competitive - Wiza is not a static financial database that gets refreshed on occasion. Every datapoint is sourced and verified the moment that you receive the information. We verify deliverability of every single email ahead of providing the data, and we ensure that each person in your dataset has 100% job title and company accuracy by leveraging Linkedin Data sourced through their live Linkedin profile.
Key Features:
Comprehensive Data Coverage: Stop contacting the same people as everyone else. Wiza's search fund Data is sourced live, not stored in a limited database. When you tell us the type of company or person you would like to contact, we leverage Linkedin Data (the largest, most accurate database in the world) to find everyone who matches your ICP, and then we source the contact data and company data in real-time.
High-Quality, Accurate Data: Wiza ensures accuracy of all datapoints by taking a few key steps that other data providers fail to take:
(1) Every email is SMTP verified ahead of delivery, ensuring they will not bounce
(2) Every person's Linkedin profile is checked live to ensure we have 100% job title, company, location, etc. accuracy, ahead of providing any data
(3) Phone numbers are constantly being verified with AI to ensure accuracy
Linkedin Data: Wiza is able to provide Linkedin Data points, sourced live from each person's Linkedin profile, including Subtitle, Bio, Job Title, Job Description, Skills, Languages, Certifications, Work History, Education, Open to Work, Premium Status, and more!
Personal Data: Wiza has access to industry leading volumes of B2C Contact Data, meaning you can find gmail/yahoo/hotmail email addresses, and mobile phone number data to contact your potential partners.
Country Coverage
Africa
(58)
Algeria
Angola
Benin
Botswana
Burkina Faso
Burundi
Cabo Verde
Cameroon
Central African Republic
Chad
Comoros
Congo
Congo (Democratic Republic of the)
Côte d'Ivoire
Djibouti
Egypt
Equatorial Guinea
Eritrea
Ethiopia
Gabon
Gambia
Ghana
Guinea
Guinea-Bissau
Kenya
Lesotho
Liberia
Libya
Madagascar
Malawi
Mali
Mauritania
Mauritius
Mayotte
Morocco
Mozambique
Namibia
Niger
Nigeria
Rwanda
Réunion
Saint Helena, Ascension and Tristan da Cunha
Sao Tome and Principe
Senegal
Seychelles
Sierra Leone
Somalia
South Africa
South Sudan
Sudan
Swaziland
Tanzania, United Republic of
Togo
Tunisia
Uganda
Western Sahara
Zambia
Zimbabwe
Asia
(51)
Afghanistan
Armenia
Azerbaijan
Bahrain
Bangladesh
Bhutan
Brunei Darussalam
Cambodia
China
Cyprus
Georgia
Hong Kong
India
Indonesia
Iran (Islamic Republic of)
Iraq
Israel
Japan
Jordan
Kazakhstan
Korea (Democratic People's Republic of)
Korea (Republic of)
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Lebanon
Macao
Malaysia
Maldives
Mongolia
Myanmar
Nepal
Oman
Pakistan
Palestine, State of
Philippines
Qatar
Saudi Arabia
Singapore
Sri Lanka
Syrian Arab Republic
Taiwan
Tajikistan
Thailand
Timor-Leste
Turkey
Turkmenistan
United Arab Emirates
Uzbekistan
Vietnam
Yemen
Europe
(51)
Albania
Andorra
Austria
Belarus
Belgium
Bosnia and Herzegovina
Bulgaria
Croatia
Czech Republic
Denmark
Estonia
Faroe Islands
Finland
France
Germany
Gibraltar
Greece
Guernsey
Holy See
Hungary
Iceland
Ireland
Isle of Man
Italy
Jersey
Latvia
Liechtenstein
Lithuania
Luxembourg
Macedonia (the former Yugoslav Republic of)
Malta
Moldova (Republic of)
Monaco
Montenegro
Netherlands
Norway
Poland
Portugal
Romania
Russian Federation
San Marino
Serbia
Slovakia
Slovenia
Spain
Svalbard and Jan Mayen
Sweden
Switzerland
Ukraine
United Kingdom
Åland Islands
North America
(13)
Belize
Bermuda
Canada
Costa Rica
El Salvador
Greenland
Guatemala
Honduras
Mexico
Nicaragua
Panama
Saint Pierre and Miquelon
United States of America
Oceania
(25)
American Samoa
Australia
Cook Islands
Fiji
French Polynesia
Guam
Kiribati
Marshall Islands
Micronesia (Federated States of)
Nauru
New Caledonia
New Zealand
Niue
Norfolk Island
Northern Mariana Islands
Palau
Papua New Guinea
Pitcairn
Samoa
Solomon Islands
Tokelau
Tonga
Tuvalu
Vanuatu
Wallis and Futuna
Other
(9)
Antarctica
Bouvet Island
British Indian Ocean Territory
Christmas Island
Cocos (Keeling) Islands
French Southern Territories
Heard Island and McDonald Islands
South Georgia and the South Sandwich Islands
United States Minor Outlying Islands
South America
(42)
Anguilla
Antigua and Barbuda
Argentina
Aruba
Bahamas
Barbados
Bolivia (Plurinational State of)
Bonaire, Sint Eustatius and Saba
Brazil
Cayman Islands
Chile
Colombia
Cuba
Curaçao
Dominica
Dominican Republic
Ecuador
Falkland Islands (Malvinas)
French Guiana
Grenada
Guadeloupe
Guyana
Haiti
Jamaica
Martinique
Montserrat
Paraguay
Peru
Puerto Rico
Saint Barthélemy
Saint Kitts and Nevis
Saint Lucia
Saint Martin (French part)
Saint Vincent and the Grenadines
Sint Maarten (Dutch part)
Suriname
Trinidad and Tobago
Turks and Caicos Islands
Uruguay
Venezuela (Bolivarian Republic of)
Virgin Islands (British)
Virgin Islands (U.S.)
History
0 days of historical data
Volume
| 1 billion | Contacts |
| 150 million | Direct Dial Phone Numbers |
| 800 million | Valid Emails |
| 500 million | Personal Emails |
Pricing
Free sample available
| 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
Small Business
Medium-sized Business
Enterprise
Quality
Self-reported by the provider
email deliverability
job title accuracy
match rate
phone number accuracy
Delivery
Methods
S3 Bucket
Email
REST API
Frequency
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.csv
.xls
Use Cases
Categories
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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 Global Mobile Phone Number Data 90M+ 95% Accuracy API Bi-Weekly Updates. 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.
