📈 #61 Mastering LinkedIn’s algorithm: a 3-step guide for Operations Research professionals

And a bonus to keep you moving!

A year ago, I didn’t have good job recommendations on LinkedIn.

I didn’t want to change jobs, but I’m curious about the market.

I improved my LinkedIn profile and increased my connections by 2.5 times (from 1.6k to 4.1k). Now, I constantly receive job recommendations like these:

LinkedIn's recommendation algorithm operates as a multi-objective optimization problem, weighing inputs to match professionals with opportunities.

It’s more than a professional networking site. It’s a dynamic platform powered by an algorithm designed to surface relevant content, connections, and opportunities.

For Operations Research professionals, understanding and influencing LinkedIn’s algorithm can:

• Boost visibility among recruiters and decision-makers in data science, supply chain, and analytics

• Establish expertise in the Operations Research community

• Uncover job leads, consulting opportunities, and collaborations in niche fields

LinkedIn’s algorithm prioritizes relevance and engagement by analyzing content, interactions, and user activity.

You can ensure the platform aligns with your professional goals by tailoring your activity.

Today in Feasible, you’ll see the 3 steps to maximize LinkedIn:

• 🔍 Step 1: Analyze your LinkedIn activity

• 🤖 Step 2: Let LinkedIn find jobs for you

• ⚡ Step 3: Techniques to influence LinkedIn’s algorithm

🎧 At the top, you can listen to a podcast-like version of this post!

I’ll also give you a bonus track! Ready? Let’s dive in… 🪂

🔍 Step 1: Analyze your LinkedIn activity

Let’s start from the beginning.

You.

There are two things that relate to you: one internal -your profile- and one external -your network. Let’s improve both.

🧐 Review your profile

Start with your LinkedIn profile. It’s the foundation of your presence on the platform.

There are three important sections: