B2B2C Linkage Sample

AnalyticsIQ's Business Contact Linkages sample file contains numerous variables related to an employee’s business and consumer profiles.

Geographic coverage: United States of America

Data Population Level: Individuals

Number of employees/professionals covered: 100+ million business contacts

AnalyticsIQ’s Business Contact Linkages 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. Our linkage file is unique because we are able to link a business contact’s at work profile with their at home profile. This gives a full 360 degree view of who these contacts are and how to engage with them.

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.

Examples of key data points include:
- B2B_First_Name - Contact first name
- B2B_Last_Name - Contact last name
- B2B_Title_Name - Contact title
- B2B_Title_Level - 1:C-Level, 2:VP-Level, 3:Director-Level, 4:Manager-Level, 5:Staff, 6: Unknown
- B2B_ContentOrient_v2 - Contact Preferred Content from Vendor (Whitepaper, Webinar, Case study, eBook, Info-graphic, Video, other)
- B2B_ContactOrient_v2 - Contact Preferred Initial Contact Method (Email, phone, in person, direct mail, Twitter, Linkedin, Other)
- B2B_ PurchaseOrient - Contact Purchase Driver (price, quality, other)
- OS_Diversity - Likelihood of Being Open to Diversity (1=least likely; 7=most likely)
- Podcast_Fan - Likelihood of Listening to Podcasts Multiple Times throughout a Week (1=least likely; 7=most likely)
- Student_Loans_Now - Likelihood of Current Student Loan Debt (1=least likely; 7=most likely)
- IncomeIQ_Plus_v3 - Income predictor Score (in $'000)
- AIQ_Children_in_HH_v2 - Number of Children in Household
- BC_Telecommuter - Likelihood of Working from Home and Tele-commuting to Work (1=least likely; 7=most likely)

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