How to Export Your LinkedIn Analytics Data (The Smart Way)

LinkedIn's native analytics give you the basics, but here's the thing—they're just scratching the surface. If you want to dive deeper and spot patterns that actually move the needle, you'll need to export your data for advanced analysis.

I've helped dozens of companies boost their LinkedIn performance by 40% or more, and it always starts with getting your hands on the raw data. Here's exactly how to do it.

Why Export Your Data in the First Place?

LinkedIn's built-in dashboard shows you impressions, clicks, and engagement rates. That's nice, but it won't tell you which specific topics resonate with your audience, or why your Tuesday posts consistently outperform your Thursday ones.

When you export the data, you can:

• Spot seasonal trends in your content performance
• Compare your engagement rates against industry benchmarks
• Identify your most valuable posting times down to the hour
• Track competitor performance alongside your own metrics

Step 1: Access Your Company Page Analytics

First things first—make sure you're logged into LinkedIn with admin access to your company page. This guide focuses on Company Page analytics, which provide the comprehensive data that tools like LinkIntel use for business intelligence and competitor analysis.

Navigate to your company page and click the "Analytics" tab. You'll see three main sections that matter: Content, Followers, and Visitors. Each tells a different part of your story.

Step 2: Export Your Content Performance Data

This is where the gold lives. In the Content section, look for the export button—it's usually a small download icon near the top right. Click it and select your date range carefully.

Here's what I recommend: start with the last 90 days if you're posting regularly, or go back six months if your posting schedule is more sporadic. Don't go back more than a year unless you're specifically looking for seasonal patterns—LinkedIn's algorithm changes too frequently for older data to be reliable.

The exported file will include post URLs, publish dates, impressions, clicks, reactions, comments, shares, and follower/non-follower breakdowns. This is your content goldmine.

Step 3: Grab Your Follower Growth Data

Your follower analytics reveal audience growth patterns and demographic shifts. Export this data to understand not just how many followers you're gaining, but who they are and where they're coming from.

Look for trends in your follower growth rate. A sudden spike might indicate viral content or successful campaigns. A gradual decline could signal algorithm changes or content fatigue.

Step 4: Don't Forget Visitor Analytics

Profile visitor data is often overlooked, but it's incredibly valuable. This shows you how your content drives people to learn more about your company. High visitor counts with low follower growth might indicate your content attracts the wrong audience—or that your company page needs optimization.

Making Sense of Your Exported Data

Raw CSV files are just numbers until you transform them into insights. Here's what to look for immediately:

Content patterns: Sort your posts by engagement rate (not total engagement). Your highest-performing content often has common themes, formats, or posting times.

Audience behavior: Compare impressions to clicks to understand whether your content hooks people initially but fails to drive action.

Growth correlation: Match your follower growth spikes to specific content pieces. This reveals what actually drives business results.

Pro Tips for Better Data Analysis

Keep these files organized by date and create a consistent naming convention. Something like "LinkedIn_Content_Q1_2025.csv" works perfectly.

Don't analyze data in isolation. Combine LinkedIn exports with website analytics, lead generation data, and sales metrics. The real insights emerge when you connect social media performance to business outcomes.

Export data monthly to build a historical database. Quarterly reviews are good for strategy, but monthly exports help you catch trends before they become problems.

What to Do Next

Once you've got your CSV files, it's time to analyze them properly. You could spend hours in Excel trying to make sense of it all, or you could upload them to a tool that's built specifically for LinkedIn analytics.

Tools like LinkIntel transform your exported data into actionable insights automatically. Instead of staring at spreadsheets, you get clear recommendations on posting times, content formats, and growth opportunities.

The difference between companies that grow on LinkedIn and those that stagnate isn't the quality of their content—it's whether they use their data to make better decisions.

Start exporting your data today. Your future self will thank you when you're making strategic decisions based on real insights instead of guesswork.