LinkedIn Analytics
LinkedIn analytics that actually tell you what to do next
Orsana tracks your post performance, identifies your best content patterns, and turns your LinkedIn analytics into AI-powered post ideas — built from your own data.
LinkedIn native analytics vs Orsana
LinkedIn's built-in dashboard shows you what happened. It doesn't show you why, or what to do next.
| Feature | LinkedIn native | Orsana |
|---|---|---|
| Post impressions & engagement | ||
| Profile visits per post | No | |
| Performance trends over time | Limited | |
| Content pattern analysis | No | |
| Audience fit scoring | No | |
| AI content suggestions from your data | No | |
| Best time to post (personalized) | No |
What Orsana tracks
Post-level analytics
See impressions, engagement rate, profile visits, and comment quality for every post — broken down by format and topic.
Performance trends over time
Track whether your content strategy is improving month over month, not just whether your last post did well.
Audience fit analysis
Find out whether the people engaging with your content actually match your target client profile.
Analytics that lead to content
Orsana identifies which of your post formats, topics, and tones work best — then generates new post ideas based on that data.
Comparing LinkedIn analytics tools
Looking at specific alternatives? We've put together detailed comparisons.
FAQ — LinkedIn analytics
What does a LinkedIn analytics tool track?
A LinkedIn analytics tool tracks post impressions, engagement rate (likes, comments, shares), profile visits driven by each post, follower growth, and audience demographics. The best tools also surface patterns across your content history — which formats, topics, and posting times consistently outperform your average.
Is LinkedIn's native analytics enough?
LinkedIn's native dashboard shows basic post metrics but doesn't let you compare performance across posts, identify your top content patterns, or connect your analytics to content decisions. For creators building a personal brand or client pipeline, a dedicated LinkedIn analytics tool fills that gap.
What's the difference between LinkedIn impressions and reach?
Impressions count every time your post appeared in someone's feed — including multiple views by the same person. Reach counts unique viewers. LinkedIn primarily reports impressions, which is why the numbers look higher than the actual number of distinct people who saw your content.
Which LinkedIn analytics metrics actually matter?
For creators focused on building a client pipeline, the metrics that matter most are: profile visits per post (intent signal), engagement rate relative to your follower count, comment quality (are the right people engaging?), and month-over-month trends in these numbers — not raw impression counts.
How is Orsana different from Shield Analytics?
Shield is a pure analytics tool — deep data, strong reporting. Orsana connects the analytics layer to content generation: it identifies your content archetype and generates post ideas based on your own best-performing content. If you want data plus direction, Orsana does both.
Does Orsana work with LinkedIn's official API?
Yes. Orsana uses LinkedIn's official API — not cookie-based automation. This means your account is never at risk of being flagged or suspended for using a third-party tool.
Start tracking what actually matters
Connect your LinkedIn account. Orsana imports your post history, identifies your content archetype, and starts generating post ideas based on what already works for you.
Try Orsana freeFree plan available. No credit card required.