How to Download LinkedIn Analytics Data

Downloading your LinkedIn analytics data is the first step toward understanding what's actually working in your LinkedIn strategy. Whether you're tracking personal profile performance or company page metrics, having your data in exportable formats opens up powerful analysis opportunities that LinkedIn's built-in dashboard simply can't provide.

This comprehensive guide will walk you through downloading analytics data from both personal profiles and company pages, plus show you what to do with that data once you have it.

Why Download Your LinkedIn Analytics Data?

LinkedIn's native dashboard shows you basic metrics, but downloading your raw data unlocks several powerful advantages:

Custom Analysis: Create your own reports, identify trends LinkedIn doesn't highlight, and correlate your LinkedIn performance with other business metrics.

Data Ownership: Your analytics data belongs to you. Exporting ensures you have a permanent record that isn't dependent on LinkedIn's platform or policy changes.

Advanced Tools: Third-party analytics tools like LinkIntel can provide deeper insights when working with your exported data, including competitive analysis and AI-powered recommendations.

Historical Tracking: Build a comprehensive database of your LinkedIn performance over time, enabling long-term strategic planning.

Business Integration: Combine LinkedIn metrics with your CRM, website analytics, and sales data for complete marketing attribution.

Part 1: Downloading Personal Profile Analytics

Your personal LinkedIn profile generates valuable analytics data, especially if you're actively posting content and building your professional brand.

Step 1: Access Your Profile Analytics

1. Log into LinkedIn using your personal account
2. Click on your profile photo in the top navigation bar
3. Select "View Profile" from the dropdown menu
4. Look for the "Analytics" section in your profile dashboard (usually visible on the right side)
5. Click "See all analytics" to access your full analytics dashboard

Note: You need a LinkedIn Premium account or significant profile activity to see detailed analytics. Free accounts have limited analytics access.

Step 2: Navigate to Content Analytics

Once in your analytics dashboard:

1. Click on the "Content" tab (this shows performance of your posts, articles, and shares)
2. Select your desired date range using the dropdown in the top-right corner
3. Choose the metrics you want to include (impressions, clicks, reactions, comments, shares)

Step 3: Export Your Personal Content Data

LinkedIn's personal profile export process has some limitations:

1. Click the "Export" button (small download icon) in the top-right corner of the Content section
2. Select your export format (usually CSV)
3. Choose your date range (LinkedIn typically allows up to 2 years of historical data)
4. Click "Export" and wait for the download to begin

Important Note: Personal profile analytics export is limited compared to company page exports. LinkedIn restricts the depth of data available for individual profiles to protect user privacy.

What You'll Get in Personal Profile Exports

Your downloaded file will typically include:

• Post URLs and content previews
• Publication dates and times
• Impression counts (how many people saw your content)
• Click-through rates to external links
• Engagement metrics (likes, comments, shares)
• Basic demographic data about your audience

Part 2: Downloading Company Page Analytics (The Comprehensive Option)

Company page analytics provide much more detailed data and export options. This is where most businesses should focus their analytics efforts.

Step 1: Access Your Company Page

1. Navigate to your LinkedIn company page (you must be an admin to access analytics)
2. Click "Analytics" in the top navigation of your company page
3. Verify you have admin permissions (if you don't see Analytics, contact your page administrator)

Step 2: Export Content Performance Data

The Content section contains your most valuable analytics data:

1. Click on the "Content" tab in the Analytics dashboard
2. Select your date range (I recommend starting with the last 90 days for active pages)
3. Click the "Export" button (download icon in the top-right corner)
4. Choose "Content performance data" from the export options
5. Select your desired date range and click "Export"

Pro Tip: For the most comprehensive analysis, export data in 90-day chunks if you have extensive posting history. LinkedIn's export function performs better with smaller date ranges.

Step 3: Export Follower Analytics

Your follower data reveals crucial audience insights:

1. Switch to the "Followers" tab in Analytics
2. Click the "Export" button in the follower demographics section
3. Select your date range (follower data export typically covers the full range of your page history)
4. Choose the metrics to include (demographics, growth trends, follower sources)
5. Click "Export" and wait for the download

Step 4: Export Visitor Analytics

Page visitor data shows how your content drives profile visits:

1. Navigate to the "Visitors" tab
2. Select your export timeframe (visitor data is usually available for the past 2 years)
3. Click "Export" to download visitor demographics and behavior data
4. Include custom metrics if you've set up tracking for specific visitor actions

What You'll Get in Company Page Exports

Company page exports are much more comprehensive:

Content Performance File:

• Individual post URLs and content
• Detailed timestamp data (date, time, timezone)
• Impression data (total, organic, paid, viral)
• Click metrics (link clicks, company page clicks, other clicks)
• Engagement breakdown (likes, comments, shares, follows)
• Audience demographics for each post
• Follower vs. non-follower engagement rates

Follower Analytics File:

• Daily follower growth data
• Demographic breakdowns (location, industry, job title, company size)
• Follower source attribution (organic, paid, viral)
• Engagement rates by follower segment

Visitor Analytics File:

• Daily visitor counts and trends
• Visitor demographics and job functions
• Actions taken by visitors (follow, contact, website visits)
• Traffic source attribution

Part 3: Advanced Export Techniques

Exporting Historical Data in Batches

For companies with extensive LinkedIn history:

1. Start with recent data (last 3 months) to establish current baseline performance
2. Work backwards in 6-month chunks to build historical database
3. Use consistent naming conventions for your exported files (e.g., "LinkedIn_Content_Q2_2025.csv")
4. Store files in organized folders by date and data type

Automating Regular Exports

While LinkedIn doesn't offer automated exports, you can establish a routine:

1. Set monthly calendar reminders to export data
2. Create a standard checklist of metrics to export each time
3. Use consistent file naming to enable easy data consolidation later
4. Document any changes in LinkedIn's export format over time

Handling Large Data Sets

If you have years of LinkedIn data:

1. Split exports by quarter or month to avoid timeout issues
2. Test smaller date ranges first to ensure export functionality works
3. Keep raw exported files as backups before making any modifications
4. Use spreadsheet software like Excel or Google Sheets for initial data review

Part 4: Troubleshooting Common Export Issues

"Export Not Available" Error

This usually means:

• You don't have admin permissions on the company page
• Your account doesn't have sufficient analytics data
• LinkedIn is experiencing temporary technical issues
• You're trying to export too large a date range

Solutions:

1. Verify your admin status with the page owner
2. Try a smaller date range (30-60 days)
3. Wait and retry in a few hours
4. Contact LinkedIn support if the issue persists

Empty or Incomplete Exports

Common causes and fixes:

• No posts in selected date range: Adjust your date range to include periods with content
• New company page: LinkedIn requires some posting history before analytics exports are available
• Export timeout: Try smaller date ranges or export during off-peak hours

File Format Issues

If your downloaded file won't open properly:

1. Check the file extension (should be .csv or .xlsx)
2. Try opening with different software (Excel, Google Sheets, LibreOffice)
3. Re-download the file if it appears corrupted
4. Convert encoding if you see strange characters (usually UTF-8 encoding works best)

Part 5: What to Do With Your Downloaded Data

Once you have your LinkedIn analytics files, the real work begins:

Immediate Analysis Steps

1. Open your files in a spreadsheet program to review the data structure
2. Check for data completeness (any missing dates or metrics?)
3. Sort by engagement rate to identify your top-performing content
4. Look for posting time patterns in your most successful posts
5. Calculate your average metrics to establish baseline performance

Advanced Analysis Opportunities

Content Performance Analysis:

• Identify topics and formats that drive highest engagement
• Correlate posting times with engagement rates
• Track engagement rate trends over time
• Compare organic vs. paid content performance

Audience Growth Analysis:

• Map follower growth to specific content or campaigns
• Analyze demographic shifts in your audience
• Identify which content attracts your ideal customer profile
• Track seasonal variations in follower behavior

Competitive Benchmarking:

• Compare your metrics to industry averages
• Identify content gaps your competitors aren't filling
• Track your market share of engagement in your industry
• Analyze competitor posting strategies and frequency

Tools for Advanced Analysis

Excel/Google Sheets: Perfect for basic analysis, creating charts, and identifying trends

Business Intelligence Tools: Power BI, Tableau, or Looker for advanced visualization and dashboard creation

Specialized LinkedIn Analytics Tools: Platforms like LinkIntel that are specifically designed to analyze LinkedIn data and provide actionable insights

Custom Analysis Scripts: Python or R scripts for advanced statistical analysis and predictive modeling

Part 6: Best Practices for Ongoing Data Management

Establish a Regular Export Schedule

Monthly Exports: Best for active pages with frequent posting
Quarterly Exports: Sufficient for less active pages or broader trend analysis
Campaign-Based Exports: Download data after major campaigns or content initiatives

Data Organization System

Create a folder structure like:

LinkedIn_Analytics/
├── 2025/
│   ├── Q1/
│   │   ├── Content_Performance_Q1_2025.csv
│   │   ├── Follower_Analytics_Q1_2025.csv
│   │   └── Visitor_Data_Q1_2025.csv
│   └── Q2/
└── Historical/

Documentation and Notes

Keep a simple log of:

• Export dates and date ranges
• Any major changes in your LinkedIn strategy
• External factors that might impact performance (product launches, industry events, etc.)
• Changes in LinkedIn's analytics or export functionality

Maximizing the Value of Your LinkedIn Data

Downloading your LinkedIn analytics data is just the beginning. The real value comes from:

Consistent Analysis: Regular review of your data to identify trends and optimization opportunities

Integration with Business Metrics: Connecting LinkedIn performance to actual business outcomes like leads, sales, and revenue

Competitive Intelligence: Using your data as a baseline for comparing against competitor performance

Strategic Planning: Using historical data to inform future content and engagement strategies

Tool Enhancement: Uploading your data to specialized analytics platforms that can provide deeper insights than LinkedIn's native dashboard

Getting Started Today

1. Start with your most recent 90 days of data to establish current performance baselines
2. Focus on content performance data first as it provides the most actionable insights
3. Set up a monthly export reminder to build consistent data collection habits
4. Experiment with different analysis approaches to find what works best for your business

Remember, your LinkedIn analytics data is a valuable business asset. By downloading and analyzing it regularly, you're taking control of your LinkedIn strategy and positioning yourself to make data-driven decisions that actually impact your business results.

The companies that consistently export and analyze their LinkedIn data are the ones that see measurable improvement in their social media ROI. Start building your data collection process today, and you'll thank yourself when you're making strategic decisions based on solid insights rather than guesswork.