The Hidden Flaw in LinkedIn Analytics: How Self-Views Inflate Your Data
Zara Shea, Notary Public ?????
Solving Notary Needs ?? | Specializing in Trusts, LGBTQ-Friendly Services, ?? & A.I. ?? Founder: ? Zara's Multi-Services ? LGBTQ Notary Association ? Truly Impartial Pro's Learning Center ~ Here to Support You
LinkedIn is a great platform for professionals to share insights and build connections, but there’s one analytics challenge I keep running into: LinkedIn counts my own views whenever I check my posts.
Every time I:
? Review a post for edits after publishing
? Check analytics throughout the day
? Scroll through the LinkedIn analytics dashboard
…I unintentionally add to my own view count, making it difficult to track my actual audience reach. Since I run my own business, my company even appears in my own article viewer demographics—which doesn’t provide useful insights when I’m the only one working there.
A Simple Fix to Make LinkedIn Analytics More Reliable
I’d love to see LinkedIn refine its analytics system to:
?? Automatically exclude self-views from analytics for more accurate engagement data.
?? Make the analytics dashboard fully independent from post view counts, so reviewing data doesn’t inflate numbers.
?? Adjust post demographics to avoid showing my own company in my audience breakdown.
These small but meaningful improvements would provide more reliable insights for solopreneurs, creators, and businesses that track engagement closely.
Have you noticed this issue? Let’s start a conversation—what improvements would you like to see in LinkedIn’s analytics?