Why 93,000 LinkedIn Impressions Performed Worse Than 838: The Algorithm Truth Nobody's Talking About

If you said Post One because of the bigger numbers, you're wrong. And the reason why reveals everything that's broken about how most people approach LinkedIn content strategy in 2024.

Watch the full breakdown in the video above, or keep reading for the complete analysis and data.

The Data That Changes Everything

Let me show you the complete picture. These are three posts from the same creator, all published within a two-week period:

• Post A: 93,350 impressions | 174 likes | 68 comments | 15 followers gained
• Post B: 74,441 impressions | 287 likes | 75 comments | 19 saves | 29 followers gained
• Post C: 838 impressions | 56 likes | 58 comments | 13 followers gained

Now look at that last column carefully. Followers gained.

Post A reached over 93,000 people and gained 15 followers. Post C reached only 838 people and gained 13 followers—nearly the same result from 1% of the reach.

If I told you that you could run a post that reached 93,000 people and a post that reached 838 people, and both would gain you roughly the same number of real followers from your ideal customer profile (ICP), which would you choose?

Most people instinctively say the bigger number. But that instinct is exactly the problem—especially with LinkedIn's current Brew 360 algorithm.

What Made These Posts So Different?

The critical difference wasn't the format, the hooks, or the posting time. It was who the content was written for.

Post A: The Wide Reach Trap

Post A was about a study finding that 94% of senior executives who play team sports say it shaped their leadership. It included rugby statistics, Gallup data, and Deloitte research—universal leadership content that every professional on LinkedIn could relate to.

The algorithm matched it to anyone who engages with leadership content (which is a lot of people). It went wide because it appealed broadly.

Here's the problem: The 93,000 people who saw it weren't necessarily this person's buyers. They were other professionals who like reading about leadership—coaches, managers, students, people who will probably never become a client.

Post C: The Precision Target

Post C was completely different. It focused on daily, weekly, and monthly habits for digital visibility in regulated sectors—specifically healthcare and financial services.

If you don't work in a regulated sector or care about digital visibility strategy, this post means nothing to you. You scroll past it.

But if you're a CEO or marketing director in healthcare or financial services, this post is written exactly for you. You engage, you follow, you might reach out.

Now guess who this person's ICP actually is?

Only 838 people saw Post C, but they were the right 838 people.

Understanding LinkedIn's Brew 360 Algorithm

This pattern isn't unique to one account. As the founder of Contentin, a LinkedIn content analytics tool that has processed over a quarter-million posts, I see this play out across thousands of accounts.

Here's what's happening at scale right now:

Brew 360 is an interest-matching engine. It shows your content to people who engage with similar content. That's how it works.

Which means if you've been posting generic leadership tips, motivational content, or broad "here are five things I learned" posts, the algorithm has matched you to people who engage with that kind of content.

And here's the thing about those people: Most of them are often other content creators, coaches, consultants, or your peers—not your ICP.

They're not buyers. They're not clients.

The Echo Chamber Compounds Over Time

The irony is that the more successful these posts look on the surface (the bigger the impressions number), the more they can be pulling you deeper into the wrong room.

Here's how it compounds:

1. You optimize for reach
2. The algorithm learns what drives your engagement
3. It keeps showing you to more of those people (the wrong people)
4. Your audience becomes increasingly made up of non-buyers

That's the echo chamber, and it compounds in the wrong direction over time.

The Three Metrics That Actually Matter

Instead of obsessing over impressions, focus on three numbers that actually tell you something useful:

1. Followers Gained Per Post

This is the clearest signal that someone found your content worth following for. They want more. That means they're in the right room.

2. Profile Views Generated

People who clicked through to learn more about you were curious enough about who you are to look. That's intent.

3. Saves

Someone found this worth coming back to. That's lasting value, not a scroll-by reaction. Saves are currently the strongest engagement signal we have on the platform.

The ratio that matters isn't impressions. It's how many of these three things you get relative to the impressions you're generating.

A post with 800 impressions and 13 followers gained isn't a small post. It's a high-quality post that found the right room. Let that sink in.

Why Most LinkedIn Advice Is Wrong in 2024

Most people learned that bigger is better: more followers, more impressions, more reach.

The platform trained us to optimize for those numbers because:

• a) For the longest time, that's how the algorithm worked
• b) For the longest time, those numbers were the ones actually visible to us

But the game has shifted. Brew 360 is a relevance engine. It rewards depth over breadth.

The founders who are going to win on LinkedIn over the next few years aren't the ones with the biggest audiences. They're the ones with the most specific audiences.

838 people who are genuinely interested in what you do will drive more business than 93,000 who aren't. That's not a comforting message if you've been chasing reach, but it is the right one.

What To Do Today: Audit Your Last 5 Posts

Here's your action step:

Pull up your last five posts. Don't look at impressions first. Instead, look at:

• Followers gained
• Profile views
• Saves

Now ask yourself: Were the people who engaged with this actually my buyers, or were they peers, creators, and other professionals who will never become clients?

This ratio is your audience quality score, and it's telling you something important about whether you're in the right room.

Track What Actually Matters

If you want to automatically track followers gained, profile views, saves, and what's actually working for your LinkedIn content, that's exactly what Contentin is built for.

We built it specifically because LinkedIn's native analytics don't show you the signals that matter most for business results. With over a quarter-million posts analyzed, we track not just impressions and likes, but the metrics that indicate genuine audience quality.

We also have a free post optimizer tool—no account needed. Just paste your post in and it'll tell you what's weak and what to improve. Check it out here.

Coming Next Week

Next week, I'm going to show you exactly how to audit your LinkedIn audience in 10 minutes and give you a framework for diagnosing whether you're in the right room—the four-bucket model that tells you everything you need to know.

Until then, remember: Quality of reach beats quantity of reach. Every single time.

Ready to see which of your posts are actually reaching your ICP? Start a free trial of Contentin and get the data that matters.