How to Export LinkedIn Analytics

Getting your data out of LinkedIn can sometimes feel like trying to solve a puzzle. You know valuable insights about your audience, content performance, and follower growth are right there, but accessing them in a usable format isn’t always straightforward. This guide will walk you through exactly how to export your analytics from LinkedIn Company Pages, personal profiles, and posts, turning that raw data into a powerful tool for your marketing strategy.

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Why You Should Export LinkedIn Analytics in the First Place

LinkedIn's built-in analytics dashboard is great for a quick glance, but the real magic happens when you export the data. Pulling your metrics into a spreadsheet or data tool unlocks a much deeper level of analysis.

• Track Long-Term Trends: LinkedIn’s dashboards often have date range limitations. Exporting your data allows you to create an archive, so you can track performance over quarters or years, not just the last 90 days.
• Combine with Other Data: Your LinkedIn performance doesn't exist in a vacuum. By exporting it, you can place it alongside data from Google Analytics, Salesforce, or your ad platforms to see the full picture. How many website sessions did that popular post actually drive?
• Create Custom Dashboards: Building reports in Excel or Google Sheets gives you complete control. You can create custom charts, tables, and calculations that are specific to your company's KPIs, something you can't do on the native platform.
• Deeper Content Analysis: An exported spreadsheet lets you sort, filter, and categorize your updates. You can easily find your top-performing content by engagement rate, not just raw clicks, and identify themes that truly resonate with your audience.

How to Export Company Page Analytics

For anyone managing a business presence, the Company Page is your main hub for data. LinkedIn splits its page analytics into a few key areas, and you can export data from most of them. Here’s a step-by-step breakdown.

First, navigate to your Company Page. You'll need to have Admin access to see the analytics section. From your page, click the Analytics tab in the navigation menu.

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1. Exporting Visitor Analytics

This report tells you about the people visiting your page, regardless of whether they follow you. It’s a great way to understand your overall audience appeal.

1. From the Analytics dropdown, select Visitors.
2. Set your desired date range. You can go back as far as one year.
3. Click the blue Export button in the top right corner.
4. A dialog box will appear. You will see a small note saying "Your export is being prepared” and you’ll get a notification when it’s ready to download. It's usually very quick. When it's ready, just click the download button.

What’s in the Visitor data export?

The exported spreadsheet (XLS file) will contain demographic data about your page visitors, including:

• Job function
• Location
• Seniority level
• Industry
• Company size

This information is aggregated and anonymous. You can’t see individuals, but you can see that, for example, 30% of your page visitors over the last quarter were from the software industry and in senior-level roles. This is incredibly useful for validating whether you're reaching your target audience.

2. Exporting Update (Content) Analytics

This is probably the export you’ll use most often. It contains performance data for every organic post you’ve published during your chosen timeframe.

1. From the Analytics dropdown, select Updates.
2. Choose your date range at the top of the analytics dashboard. You can customize this up to the last year.
3. Click the Export button in the top right.
4. Just like the visitor export, your report will generate in a few moments for you to download.

What’s in the Update data export?

This export is rich with performance metrics. In the spreadsheet, each row represents a single post, with columns for:

• Impressions: The number of times your post was shown.
• Clicks: The number of clicks on your content, company name, or logo.
• Click-through rate (CTR): Clicks divided by impressions. A key metric for post effectiveness.
• Reactions, Comments, and Reposts: The raw numbers for each type of engagement.
• Engagement Rate: Total engagements (reactions, comments, shares, clicks) divided by impressions. This is often the best measure of how compelling your content is.
• Video Views: If your post included a video, you’ll see view counts.

This is where you can do some serious analysis. Sort your data by engagement rate in Excel to quickly find your best-performing content. Look for patterns - do posts with videos outperform those with links? Do questions get more comments?

3. Exporting Follower Analytics

This report gives you insight into the audience you've built on your page.

1. From the Analytics dropdown, select Followers.
2. Set your date range.
3. Click the Export button.

What’s in the Follower data export?

Similar to the visitor data, this export breaks down your followers by key demographic attributes like location, job function, industry, and seniority. It also includes a chart showing your follower growth over your selected date range with new follower data.

You can use this to see how your follower base is evolving. For example, if you just ran a campaign targeting marketing managers, you can check this export to see if you gained more followers from that job function.

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What to Do With Your Exported LinkedIn Data

You’ve downloaded the CSVs. Now what? Raw data files can be intimidating, but they don’t have to be. Here are a few simple ways to start finding insights in Excel or Google Sheets.

• Create a "Top Performing Content" Report: Open your Update Analytics export. Add a 'Total Engagements' column summing up reactions, comments, and reposts. Sort by this new column or by the 'Engagement Rate' column to instantly see which posts won.
• Use Pivot Tables for Demographics: Open your Visitor or Follower export. Use a Pivot Table to quickly summarize visitor profiles. You can create a simple table showing the top 5 job functions or industries that visit your page. This takes just a few clicks and is much easier to present to your team than a raw data sheet.
• Track Follower Growth Over Time: Each month, export your follower data. In a separate master spreadsheet, log your total follower count at the start of each month. After a few months, you’ll have a clean line chart showing your growth trajectory, which you can correlate to marketing campaigns or content initiatives.

How to Export Analytics for Personal Profiles & Posts

Exporting analytics from a personal profile is a bit different and, unfortunately, more limited. This is a common pain point for founders, consultants, and creators who use their personal profiles as a primary marketing channel.

For Individual Posts

There is no direct "Export" button for all of your personal post analytics at once. Instead, you have to do it post-by-post in a manual - and tedious - process.

1. Go to your profile and find the creator dashboard below your headline. Click on it.
2. This will take you to your personal professional dashboard with an overview of your analytics and creator tools, posts, and top posts.
3. To check analytics for a previous or specific post, go into your Post Analytics tab, pick from the last 7, 14, 28, 90, or 365 posts to find the analytics you need, and select the post you are looking to pull the article from.

You can see metrics like impressions, post views, and discoverability by keywords. This provides post metrics and an audience demographic breakdown for each post. The best way to track this data is to log it manually in a spreadsheet. It's a chore, but it's the only way to track personal post-performance over time natively within LinkedIn.

For Articles and Newsletters (Creator Mode)

If you have Creator Mode enabled and you publish Articles or a Newsletter, you're in better luck! You can actually access and see analytics in the creator dashboard for how these forms of content perform.

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Putting It All Together: Common Limitations

While exporting LinkedIn data is valuable, it's important to be aware of the limitations. The biggest challenge is that the process is entirely manual and siloed.

The typical workflow for many marketing teams is downloading CSVs every Monday, cleaning them up, pasting the data into a master spreadsheet, and then finally building charts for a Tuesday team meeting. By the time you're done, more than a day is gone, and the data is already slightly out of date.

Furthermore, this data only tells you what happened on LinkedIn. To understand its true business impact, you need to manually cross-reference it with your Google Analytics, CRM, and sales data. This friction is what keeps many businesses from making data-informed decisions consistently.

Final Thoughts

This guide walked you through the steps to pull your raw data from LinkedIn for company pages, posts, and personal profiles. Exporting this information is the crucial first step to moving beyond surface-level metrics and truly understanding your audience and content performance on the platform.

The weekly routine of manually exporting CSVs from LinkedIn, then logging into Google Analytics, your email platform, and your CRM to stitch together a complete picture of performance is exhausting and time-consuming. We built Graphed to eliminate that entire process. We connect directly to your marketing and sales sources - including LinkedIn Pages - to automate data collection and create real-time dashboards, so you can spend your time acting on insights, not just chasing them down.