How to Create a LinkedIn Analytics Report? Template & Example

Reporting is always this mundane task that we keep pushing away until the deadline comes. I get the struggle – lots of metrics, lots of boring numbers, and you (with no idea what it all means). But what if there was this one tip that would make your LinkedIn analytics report quick and easy? AI is exactly that!

In this article, I’ll show you how to use it for LinkedIn analytics reports.

Let’s dive in!

LinkedIn analytics report is a document that gathers and analyzes data about your LinkedIn performance.

Depending on your established KPIs, it can cover various metrics, for example, engagement or sentiment.

You can use LinkedIn data from the analytics page and do the reporting manually or use AI tools that will do most of the work for you.

What is a LinkedIn analytics report?

LinkedIn analytics report is basically a summary of how your marketing strategy performs.

It gives you all the juicy details on your content performance, engagement levels, follower growth, and who’s actually checking out your stuff.

Whether you’re trying to build your personal brand or push your company’s presence – this report is key.

It shows you what’s working and what’s flopping and gives you the ideas to back up your strategy.

You can use these insights to level up your content, better connect with your audience, and finally – see results from all that time you’re spending creating LinkedIn ads and posts.

LinkedIn analytics report template

My best tip for LinkedIn reporting is to use AI tools. Take a look below. In the green box, I listed 3 LinkedIn analytics reports that I generated using Brand24.

It took me like 5 minutes to do.

I believe that action speaks louder than words – so I highly encourage you to use these report templates and see for yourself how it works.

📊 Click and download report templates:

⬇️ Report Template ( general analytics dashboard)

⬇️ Report Template (PDF)

⬇️ Competitor Comparison Report Template (PDF)

These reports are just examples. In reality, you have the possibility of very detailed personalization.

• Want to focus on the sentiment you generate?
• Want to share this report with your colleagues?
• Want to change the period to just one week?

No problem – you decide!

And there are many more filters. I don’t want to overwhelm you with them here.

If that sounds interesting – test it for yourself during a free 14-day trial.

Brand24 is an AI social listening tool that tracks and reports your marketing performance across multiple sources and various social media platforms.

Data sources include:

• Social media (Instagram, Facebook, X (Twitter), TikTok, YouTube, LinkedIn, Reddit, Bluesky, Telegram, Twitch, Pinterest)
• News sites
• Blogs
• Podcasts
• Forums and review sites

That’s why in reports you generate using that tool – you can include more sources and get a more comprehensive view.

How to generate a LinkedIn analytics report using AI?

Here’s a step-by-step guide on how I created the reports above. I hope it will make things easier for you.

1. Set up a project in Brand24 for your keyword – it should be a unique name to ensure data relevance. 
   
   For example – Apple will get a ton of data related to fruit and not the tech company.

2. Select the language in which you want to gather data.

3. Go to the “Sources” section on the right and choose the platform you want to track – in this case, Other Socials (that’s where LinkedIn is).

If you want to get only LinkedIn mentions – type in “linkedin.com” in the “Domain” box.

4. Select the reporting time frame.

5. Click “Generate Report”.

And voila! Your LinkedIn analytics report is ready!

Here are some questions Brand24’s LinkedIn analytics reports can answer:

• How often was [your name/brand] mentioned on LinkedIn?
• How many people did [your name/brand]-related posts reach?
• What is the LinkedIn sentiment of [your name/brand]?
• How does the sentiment of [your name/brand] on LinkedIn compare to other platforms?
• What is the AVE of [your name/brand]?
• What are the key topics of discussion related to [your name/brand]?

How to create a LinkedIn analytics report? 9 steps

01 Choose your goals

Your reports will be completely different depending on your goals.

So, first, answer the following questions to clarify your goals:

1. What specific business objectives am I trying to achieve through LinkedIn? (Lead generation, brand awareness, thought leadership, recruitment, etc.)
2. Who is my target audience on LinkedIn, and what content do they actually care about?

The most common LinkedIn analytics report goals are:

• Increasing follower growth rate
• Boosting engagement metrics
• Lead generation
• Brand awareness
• Content optimization
• Audience insights
• Talent acquisition
• Competitor benchmarking

Once that’s done, you can move on to the next step – LinkedIn metrics.

02 Choose key metrics 

I listed some of the key metrics you may want to include. But feel free to change the list according to yor needs – this is just for inspo purposes.

LinkedIn metrics you should consider including in your analytics report include:

• Engagement rate – how many people are actually interacting with your posts compared to how many saw them
• Impression count – total number of times your content showed up in someone’s feed
• The volume of LinkedIn mentions – how many users talk about you on LinkedIn
• Social media reach – how many people reached your brand-related content
• Click-through rate – the percentage of people who clicked on your links or profile after seeing your content
• Sentiment analysis – how people feel about your brand or products
• Follower demographics – breakdown of who’s following you by industry, job title, location, and seniority
• Optimal posting times – when your audience is most active and responsive
• Competitor benchmarks – how your stats stack up against others in your industry

03 Remember about data visualizations

According to the University of Minnesota, human brains process visuals 60,000 times faster than they do text.

The conclusion – Your LinkedIn report is seriously going to flop without some good visuals.

Nobody wants to scroll through walls of text and numbers.

You need charts, screenshots, or some kind of infographics to make your data pop!

When your team or client can actually see the trends instead of just reading about them – that’s when they’ll get it.

Those visuals take complex stuff and make it make sense immediately. 

Plus, let’s be real, they make the whole report look way more professional.

04 Present campaign insights

Gathering LinkedIn data is just the beginning!

You need to turn those raw LinkedIn page analytics into insights that can actually make a difference.

Let me show you based on the recent vintage Ikea collection release.

Even though Ikea didn’t run any specific campaign for this collection – it made waves online!

According to Brand24’s AI Metrics Analysis:

• Instagram was the main source of mentions (32.5% of total mentions), while Other Socials was in 4th place (9.3%).

• Positive emotions dominated the Other Socials mentions, which shows that people loved the idea of reusing old designs.

05 Compare data with previous periods

At the same time – those insights can be much more valuable when presented in the comparison to different time frames.

If you report weekly – you can compare your LinkedIn data to the previous weeks for a very detailed analysis.

But more broad periods will work well, too!

In Brand24, you can choose your comparison periods according to your needs.

Just keep in mind that a completely new project will have access to 30 days of historical data.

I checked the performance of Ikea’s Nytillverkad and compared the previous 30 days with the same period before.

This is what it looks like:

As you can see, the new results are slightly lower. 

But this is not at all surprising – the previous month was the time of the launch, so the hype around it was huge! 

Now the situation is slowly stabilizing.

06 Compare data with rivals

Another crucial component of a well-structured LinkedIn analytics report is benchmarking with the competitors.

Such data gives insight into the brand’s position in the market and shows potential areas for improvement.

Let’s take a look at the performance over the last 30 days for Ikea vs. Wayfair:

Well, Ikea dominates Wayfair completely. 

The only area for improvement is the percentage of negative mentions – Ikea’s competitor has better sentiment.

Customer satisfaction is a very important metric in the long run, so it would be a good idea to check what’s behind this number and take care of complaints.

07 Add summary 

If you report often, or give the overview of performance to your manager – they’ll love you for this point.

My next step is to add a LinkedIn reporting summary.

It makes the process of finding crucial insights extra simple and shows that you respect others’ time.

Plus, it doesn’t necessarily mean more work for you.

The summary below is generated by AI, automatically by the AI Brand Assistant:

I skipped the first 3 points as these were more obvious. I wanted to show you the fun part.

08 Include plans and recommendations

Same as the tip above – it’s not a must, but a fantastic touch-up.

Give it a try if you want to stand out and make a good impression. Adding your own suggestions and plans shows you’re creative and professional.

You can either list your ideas during the process of LinkedIn reporting and then add them all at the end or – use AI for ideas.

Of course, make sure to double-check them before adding them to your LinkedIn analytics report.

Here’s what I got for my Ikea project:

Find it in the Brand24 dashboard > AI Insights > Recommendations.

09 Automate your reports

Nowadays, many tools provide features to make your LinkedIn reporting more automated.

It makes the process of generating new reports easier and more efficient.

Plus, it saves time and ensures consistency in tracking your LinkedIn page performance.

For example, I use the Brand24 feature, which regularly delivers reports via email.

It keeps me informed without any extra manual effort.

These reports can be scheduled and shared via email,l and you can decide when (and how often) you want to get them.

The idea behind it is simple – to keep us up to date with LinkedIn analytics but give us more time to focus on content strategy and engagement.

LinkedIn Analytics tools for manual reporting

I bet on AI when it comes to reporting, but it’s not a must. You can go for manual reporting, and it’s also fine. Just a little more time-consuming.

Here are the two most popular options:

1. Internal LinkedIn page analytics

LinkedIn provides basic engagement and audience insights inside the app. I think it’s a great starting point.

But you need to know – it requires manual data export and more effort on the analysis.

The biggest advantage of it is detailed LinkedIn post analytics. You can go through each and check its performance. It may bring valuable insights into what content your audience loves most.

You can find it on LinkedIn > Analytics.

2. Looker (formerly Google Data Studio)

If you want more flexibility or run multiple social media platforms and want to conduct analysis in one place, Google Data Studio is a solid option.

It lets you create custom dashboards and add LinkedIn data.

However, setting up connections and reports takes time.

Here’s an example of a LinkedIn report template in Looker by Data Bloo:

Good practices

Want your LinkedIn report to actually get read instead of just collecting dust?

Here’s what I do:

1. Use the tone of voice of your organization.

I bet less people care about “Q1 Analytics Review.” So, if your organization is more relaxed in terms of the language you use – maybe try “How we doubled engagement while posting less” instead.

2. Highlight both: the wins and the looses.

Of course, lead with your best stuff! But, make sure to talk about the things to improve too. Make it a starting point for your plans and recommendations.

3. Visuals are a must.

As stated before – your brain processes images 60,000x faster than text. Charts and screenshots aren’t extras, they’re essentials.

4. Put faces to the numbers.

Show the humans behind the wins. Mention team members who created killer content or highlighted customer interactions.

5. Cut the fluff.

Nobody has time for a 30-page report. If it doesn’t drive decisions, cut it.

6. Don’t be afraid to have a personality.

A well-placed meme or industry joke shows you’re a human, not a reporting robot.

7. Tell people what to DO.

“Our engagement is up 12%” means nothing without “…so we should double down on LinkedIn ads next month.”

8. Make it UX-friendly.

Bold the important stuff, use consistent colors and make sure key metrics stand out at a glance.

And remember! A great report isn’t about proving you did work – it’s about making better decisions going forward.

Conclusion

Most people throw LinkedIn reports together at the last minute, add random charts, and happily put a cross on another to-do task from the list.

But if you’re smart about it, these reports can actually make a difference.

Key takeaways:

• AI saves time – It’s easy to automate your LinkedIn reporting and get insights in minutes.
• Visuals are a must – Charts, screenshots, and infographics help with clarity and engagement.
• Change raw data into action – Don’t just collect numbers; use insights to improve your LinkedIn marketing strategy.

Why waste hours crunching numbers manually when you can generate professional LinkedIn reports in just a few clicks? Start your free 14-day trial of Brand24 today and try it yourself!