LinkedIn is the world’s largest professional network with over 560 million users worldwide. As a social media platform, LinkedIn allows users to create posts to share content, insights, and news with their connections. For businesses and creators, LinkedIn posts can be a powerful tool for reaching audiences, building authority, and generating engagement. However, to optimize your LinkedIn strategy, it’s important to track performance and analyze post metrics. Fortunately, LinkedIn provides insightful analytics and data to measure your post results.
Overview of LinkedIn Post Analytics
LinkedIn offers detailed analytics for both individual posts and your overall LinkedIn Page. For individual posts, you can view real-time data on reactions, comments, shares, clicks, viewers, followers acquired, and more. At the page level, LinkedIn provides aggregate analytics on your followers, page views, post reach/engagement, and visitor demographics.
Post analytics help you:
- Know what types of content resonate best with your audience
- Identify high vs. low performing posts
- Optimize posting times and cadence
- Track post performance over time
- Benchmark metrics against competitors
- Understand your follower demographics
Having this data enables an informed, metrics-driven approach to creating LinkedIn content that engages your target audience and supports business goals.
How to Access LinkedIn Post Analytics
Viewing LinkedIn post analytics is simple. There are two main ways to access post data:
1. Individual Post Analytics
To view performance metrics for an individual LinkedIn post:
- Go to your LinkedIn Page and click on the specific post
- Scroll down to view key post analytics underneath your content
- Click “See All Analytics” to expand the data
This will display real-time data on how your post is performing. Key metrics shown include:
- Impressions: Number of times your post entered a LinkedIn member’s feed
- Reactions: Total reactions (likes, loves, etc.) for the post
- Comments: Total comments on the post
- Shares: Number of times members shared your post to their own feed
- Clicks: Clicks on the post to visit your page, website, or expanded content
- Followers: Number of new followers acquired from the post
- Top Followers By Seniority: Breakdown of followers by job seniority (entry, manager, director, etc.)
- Followers By Function: Followers segmented by department (engineering, marketing, sales, etc.)
This post-level data enables you to quickly identify your top and lowest performing posts. You can use these insights to refine your content strategy and posting approach over time.
2. LinkedIn Page Analytics
For an aggregated view of your overall LinkedIn Page performance:
- Go to your LinkedIn Page
- Click “Analytics” on the top menu bar
- Select desired date range (30 days, 90 days, etc.)
This will display a dashboard with metrics for your Page including:
- Followers: Total page followers and net new followers gained
- Page views: Number of times your Page was viewed
- Post reach: Total reach/impressions for all of your Page posts
- Post engagement: Total reactions, comments, shares, and clicks for your posts
- Visitor demographics: Follower demographic data (job, industry, seniority, location, etc.)
- Top contributors: Most engaging followers
- Most popular updates: Top posts by engagement
The Page analytics provide macro-level insights to assess overall performance and trends overtime. You can benchmark metrics month-over-month or against competitors. This helps shape high-level content strategies and goals.
Tips for Analyzing LinkedIn Post Data
When reviewing LinkedIn post analytics, here are some best practices to consider:
Compare Performance Against Goals
Set specific key performance indicator (KPI) goals for metrics like reach, engagement rate, followers acquired, etc. Analyze how your actual post data compares to these targets. Are you above, below, or on track? This helps assess progress and define areas needing improvement.
Segment Your Audience
Utilize LinkedIn’s audience segmentation tools. Analyze performance by different audience groups like seniority, department, industry, etc. This provides intel to craft content tailored to audience needs. Personalized content drives higher engagement.
Identify Content Themes
Look at top performing post themes and topics. What content gets the most reactions and shares? Use these insights to shape future content around your audience’s interests and needs.
Correlate With Business Objectives
Tie engagement metrics to business goals, such as website traffic, lead generation, or sales. Did a viral post drive an uptick in site visits or inquiries? Make the connection between content performance and business impact.
Compare Post Types
Test a mix of post types – like images, videos, articles, quick tips, quizzes. Analyze engagement by post type and length. This can reveal the optimal formats to invest in.
Leverage Competitor Benchmarking
Research competitors’ post performance and engagement levels. Compare strengths and weaknesses to inform content themes and tactics.
Track Trends Over Time
Monitor metrics week-over-week, month-over-month. Are engagement rates growing steadily? Or fluctuating? Identify trends to guide your ongoing strategy.
Optimize Posting Schedule
Post at different days/times and track performance by time of day, day of week, etc. Look for patterns to pinpoint peak posting times when your audience is most active and engaged.
Consistently analyzing your post data enables optimization based on real audience insights. You can pivot and refine over time to boost reach, engagement, and business impact.
Tools to Enhance LinkedIn Analytics
Third-party social media management tools can also help analyze LinkedIn performance. Popular options include:
Tool | Key LinkedIn Analytics Features |
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Sprout Social |
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Hootsuite |
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Sendible |
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AgoraPulse |
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Tools provide added analytics firepower to extract maximum insights from your LinkedIn data. Features like audience segmentation, competitor benchmarking, and campaign tracking offer an expanded view of performance. This empowers you to take analysis to the next level.
Getting Started With LinkedIn Post Analytics
Follow these steps to enable analytics and start tracking LinkedIn performance:
- Activate your LinkedIn Company Page – This unlocks access to Page Insights analytics. Customize your branding, bio, content focus etc.
- Craft a content posting strategy – Determine posting goals, cadence, mix of post types, etc. This provides a framework for performance tracking.
- Publish initial posts – Start building your content library to have enough data for meaningful analysis. Aim for a minimum of 10+ posts.
- Review post analytics – Analyze reactions, engagement, reach, etc. for top posts. Look for early themes and trends.
- Set performance benchmarks – Define target KPIs for reach, engagement rate, clicks, followers acquired, etc. This gives goals for optimization.
- Iterate and refine your strategy – Use insights to adjust content themes, formats, posting schedule, etc. Continue optimizing based on data.
- Consider adding analytics tools – If more advanced analysis needed, explore platforms like Sprout Social, Sendible, etc.
- Track analytics regularly – Analyze metrics at least monthly. Tap insights to continually boost performance over time.
Consistent measurement and refinement is key to success on LinkedIn. Let data guide your strategy, and you’ll be able to maximize reach and resonance with your target audience.
Conclusion
LinkedIn provides robust analytics to track and optimize the performance of your company’s posts. Detailed metrics like engagement rate, click throughs, and audience demographics empower informed content strategies tailored to your followers’ needs. Consistently analyzing post and Company Page data enables you to unlock the true power of LinkedIn through metrics-driven iteration and refinement. With the right analytics toolkit and processes, you can turn LinkedIn into an unmatched channel for reaching and engaging your ideal professional audiences.