Short answer: in our data, hashtags do not hurt your reach. Posts with five hashtags do get half the views of posts with none, but that gap comes from who uses five hashtags, not from the hashtags. Once each author is compared to themselves, the difference disappears.
This article walks through the numbers, the trap behind the popular claim, and what actually moves a post in our data.
The raw numbers look brutal
We analyzed 232,606 LinkedIn posts published over the last 12 months by 9,382 authors. Among the 11,768 posts with impression data:
- Posts with 0 hashtags: 816 median views
- Posts with 5 hashtags: 416 median views
Half as many views. That is the kind of chart that ends up in a viral "stop using hashtags" post. Case closed?
Compare each author to themselves
The raw comparison mixes very different people. A founder with 40,000 followers and a student with 300 connections are in the same bucket. If smaller accounts tend to use more hashtags, hashtags will look guilty even if they do nothing.
So we ran it another way. For every author with at least 10 posts, we divided each post's reactions by that author's own median. A score of 1.00 means "a normal post for this person". Then we compared posts with and without hashtags, author by author.
| Method | 0 hashtags | 5 hashtags |
|---|---|---|
| Raw median views | 816 | 416 |
| Same author (reactions vs own median) | 0.94 | 0.93 |
0.94 vs 0.93. The gap is gone. The same person gets the same response whether or not they add hashtags.
Why the myth survives
It is the classic LinkedIn stats trap: compare different people, then blame the format. Accounts that use five hashtags simply start with a smaller audience. Their posts would get fewer views with or without the tags.
The same trap shows up everywhere: "carousels outperform text", "posting at 8am doubles reach", "links kill your post". Before you believe a format rule, ask one question: was each author compared to themselves?
So how many hashtags should you use?
Use as many as make sense for your topic. In our data they do not hurt, and a few relevant ones can help people who follow a topic find you. Our guide on how many hashtags to use on LinkedIn covers how to pick them, and the free LinkedIn hashtag checker shows how big each one is.
What you should not do is spend 20 minutes debating hashtags while ignoring what actually changes the numbers.
What actually makes the difference
In our data, the posts that outperform their author's usual level share a pattern: they get seen and engaged with early. Who sees your post in the first hour, who reacts and who comments decide how far it travels afterwards. We cover this in detail in what happens in the first hour on LinkedIn and why your LinkedIn posts get no reach.
Two other findings from the same dataset are worth knowing:
- Length matters more than style. Posts between 1,300 and 2,000 characters get 65% more reactions than the same author's posts under 300 characters. Details in Em dash, AI words, post length: what 232,606 posts show.
- Asking for comments works. Posts that explicitly ask for a comment get 30% more of them. Details in We read 503,711 LinkedIn comments.
How Podawaa helps
Your content is often good. It just is not seen. Podawaa gets a fresh post in front of relevant professionals in its first hour, so it has a fair chance to start a conversation. It does not guarantee reach, and it does not replace a good post. You can try it on the Free plan (5 boosts per month, no card required); paid plans start at €29/month. Create a free account.
FAQ
Do hashtags reduce reach on LinkedIn?
Not in our data. Posts with 5 hashtags get half the raw views of posts with none, but when each author is compared to their own median, the difference disappears (0.94 vs 0.93).
Why do posts with many hashtags get fewer views?
Because the accounts that use many hashtags tend to have smaller audiences. Their posts would get fewer views with or without hashtags.
Should I remove hashtags from my LinkedIn posts?
There is no need to. Keep a few relevant ones if they help people find your topic, and focus your effort on the post itself and on its first hour.
How was this measured?
232,606 posts by 9,382 authors over 12 months, boosted posts excluded. For authors with at least 10 posts, each post's reactions were divided by the author's median, then averaged (geometric mean) by group.
Source: Podawaa database, 232,606 LinkedIn posts published between October 2025 and October 2026 by 9,382 authors, boosted posts excluded; extracted October 12, 2026. These are correlations observed in our data, not a description of LinkedIn's ranking system.
