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- RIP LinkedIn Insights, Hello Claysights
RIP LinkedIn Insights, Hello Claysights
How to find headcount for specific teams
Alex Lindahl
October 30, 2024 • Estimated Reading Time: 7 minutes
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RIP LinkedIn Insights
Hey Automators,
You’ll notice the ad. This is one of the experiments I’m trying to grow the newsletter. Bring in a few dollars from ads and then reinvest that money into my own ads or Boosts. I’ll share how it works as I gather the data… (p.s. you can support this newsletter by clicking the ad to help get the flywheel going)
In other news - this is your reminder that 2024 marks the end of LinkedIn Insights. Why?
We launched LinkedIn Sales Insights to deliver a data enrichment and analytics platform to Sales Operations professionals and while we have succeeded in serving customers in this way, we have decided to discontinue services on December 31, 2024, so that we can invest more in transforming the LinkedIn Sales Navigator experience to make it even more powerful.
In other words, you’ll need to pay for this via Sales Navigator.
LinkedIn Insights is/was a goldmine for companies that have seat based pricing.
RevOps uses the numbers to gauge account potential and fairly distribute amongst territories.
Customer Success teams used it to figure out how much expansion an account has.
Account Executives and Sales teams use the numbers to prioritize which accounts to focus on.
More specifically, companies like Snyk, GitLab, and DataDog who sell to developers especially find this account intel useful. At Snyk, we used the developer count for account sizing, prioritization, and pricing.
Luckily, we can get this in Clay and more.
Let’s continue with the example of finding the size of a software engineering team.
Goodbye LinkedIn Insights, Hello Claysights:
Step 1: Create a Company Table
Step 2: Figure out Your Keywords
The goal here is to find all of the unique keywords that you’d find in a title of someone who works on a software engineering team.
Here’s how I do this with ChatGPT in 2 minutes. Note sometimes you’ll need to make adjustments - like taking out the keyword “lead” because that could also apply to “Sales Lead” and then skew the numbers.
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