LinkedIn data
Many companies are used to rely on LinkedIn as their source of truth, and Kernel offers the same data for companies migrating onto Kernel data to assist with change management.
Problem: Resolving the entity-LinkedIn matching
Many companies have multiple LinkedIn profiles (including duplicates and non-official pages). Typical data vendors often rely on LinkedIn as a source of truth for foundational company data. Still, they incorrectly assume that companies have only one LinkedIn profile or use the LinkedIn website itself as the source of truth. However, this approach is insufficient.
Starbucks alone has 100+ LinkedIn profiles
Google's LinkedIn profile is associated with
goo.gle/3DLEokh, a short link to their careers site.In your CRM, Frito-Lay may be incorrectly associated with
linkedin.com/company/frito-lay-inc/, which looks correct, but isn't.
Kernel's LinkedIn matching research agent
To solve accurately for this, Kernel takes advantage of the entity data and a bespoke LinkedIn matching research agent.
Kernel's LinkedIn mapping takes place in two steps
Candidate generation
Kernel maintains a database of all LinkedIn profiles (updated monthly). For each company, Kernel generates a long list of potential candidates.
Candidate ranking
Kernel ranks all profiles using a custom algorithm that uses semantic similarity, headcount, LinkedIn followers, and how much of the LinkedIn profile is complete.
Candidate selection
Kernel uses an AI-based approach to candidate selection, comparing the data of the top candidates against unstructured data of the target account.
The result is to add missing LinkedIn accounts to your CRM and replace incorrect mappings with correct ones, allowing the SDRs and AEs to look up the correct profile.
Kernel provides all data points from a company's LinkedIn profile as part of its foundational data.
LinkedIn fields
Name
Company description
Headcount - Associated profiles
Company size
Industry
Country
State
City
Company address
Founded year
Company type (e.g. "Privately held")
Headcount growth (12 months)
Headcount growth (24 months)
Last funding round
Funding amount
Funding date
For Kernel's own firmographic data like Headcount, Revenue, and HQ, see @Foundational data, which uses Kernel's research agents to actively research and determine these values across multiple sources.
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