Business Contacts Sample

AnalyticsIQ's Business Contacts file contains numerous variables related to an individual employee. These variables range from basics like title, email, and company to contact strategy and dominant purchase driver.

Geographic coverage: United States of America

Data Population Level: Individual business contacts

Number of employees/professionals covered: 100+ million individuals & 22.3+ million businesses

AnalyticsIQ’s Business Contact data is a subset of our BusinessCore suite and is created from a hybrid compilation of both offline and online sources that include email, name, postal, and other information that you would find on a business card. Then, company level information like annual revenue, number of employees, and industry is captured based on the domain identified in the email address to help us round out the business profile.

We also have partnerships with retailers and websites allow customers to receive opt-in third-party offers that also feed our BusinessCore data.

Big picture, this data is largely available out in the B2B ecosystem, our proprietary employee survey methodology is completely unique to AnalyticsIQ. This is where our Cognitive Sciences Department carefully crafts specific questions that are served to a panel of employees which allows us to create unique business and employee data that keeps up with market and economic trends.

It is important to note that we leverage verification services from 3rd party sources to ensure unbiased accuracy.

Sample table:

- Contacts sample: All data points available from our contacts file. PII is blanked
out

Examples of key data points include:

- Contact_Title: Contact’s title
- Contact Title Level: C-Level, VP-level, Director-level, Manager-level, Staff, other
- Contact Preferred Content: Contact’s preferred content from vendor (whitepaper,
webinar, case study, other)
- Contact First Contact Method: Contact’s preferred initial contact method (email,
phone, in-person, direct mail, Twitter, LinkedIn, other)
- Contact Purchase Style: Contact’s dominant purchase driver (price, quality, other)
- Contact Age: Contact’s age
- Contact Ethnicity: Contact’s ethnicity
- Contact Gender: Contact’s gender

For users who wish to avoid PII, all AnalyticsIQ data can be anonymized through tokenization thanks to our strong partnership with Datavant, a leading provider of data de-identification services.