Contact and Profile Data for University Communities

Seeking Comprehensive contact and profile data for students, faculty, staff, and alumni of all universities in the country. The data should include names, emails, titles, organizations, LinkedIn profiles, wealth scores, home addresses, etc.

$200,000 / yr.

Estimated value calculated using a combination of factors that include market size, size requirements, and scarcity. The value reflects the total across all potential buyers, and is not reflective of a single deal.

Background

In the EdTech industry, facilitating mentorship connections between students, faculty, staff, and alumni is critical for building lasting networks and supporting academic and professional growth. To power these connections, comprehensive contact and profile data is needed. This data provides invaluable insights, including names, emails, titles, organizations, LinkedIn profiles, wealth scores, and even political information, enabling more personalized and meaningful mentorship experiences.

Why It’s Valuable
  • Enhanced Mentorship Programs: With detailed profiles, EdTech platforms can create better mentor-mentee matches, ensuring more relevant and effective connections.

  • Targeted Alumni Engagement: Wealth scores and job titles help universities re-engage alumni in meaningful ways, from mentorship to giving back to their alma mater.

  • Tailored Networking Opportunities: Knowing personal and professional details like political affiliations and organizational roles helps create personalized networking opportunities that build stronger, lasting connections.

Requested Data

The specific data types, insights, and signals requested by the buyer. As a data vendor, you only need to supply the raw data for one or more. You can use Tiki to create and deliver the requested insights and signals from your raw data.

  • Names and Emails: Accurate contact information for all individuals within the university ecosystem, allowing for direct communication.

  • Titles and Organizations: Current job roles and affiliations to help match mentors and mentees based on expertise.

  • LinkedIn Profiles: Professional profiles offering insights into work history and skills, enhancing mentorship matching.

  • Wealth Scores & Home Addresses: For alumni engagement, wealth scores and addresses provide deeper insights, especially for connecting with high-net-worth individuals.

  • Political Affiliations & Additional Information: Political and other personal data can offer insights that help align mentees with mentors who share similar values and perspectives.

Buyer Interest

The types of data buyers who have expressed interest to Tiki and their respective use cases for this data. If you have the data required for this request, Tiki will introduce you to the buyer(s).

  • EdTech Platforms: Companies that build mentorship tools for universities need this data to match students and professionals effectively, fostering long-term relationships.