LinkedIn Dashboard: What to Include & How to Build It

LinkedIn hands you more data than most people know what to do with: impressions, reactions, engagement rate by impressions, and that's even before you've opened the demographics tab. 

It’s overwhelming for a lot of people, including me. That's why I believe every page admin needs a LinkedIn dashboard: a structured view of your organized LinkedIn analytics, benchmarks to compare them against, and insights that tell you what to do next. 

In this guide, I'll cover what a LinkedIn dashboard should include, how to build one based on who's reading it, how to generate one with AI using Socialinsider's MCP, and the mistakes that undermine even a good dashboard.

What's the difference between having LinkedIn analytics and having a dashboard you can actually report from?

LinkedIn analytics is the raw data LinkedIn gives you: impressions, engagement, follower counts, and even visitor demographics pulled straight from the platform. 

A LinkedIn dashboard takes that same data further, adding context on what to post next and benchmarks to compare against, as well as ready-to-use performance insights and recommendations.

For example, within the Socialisnider LinkedIn dashboard, the Earned media value is one of those added insights: a modeled dollar estimate of what your organic engagement, awareness, and audience growth would have cost to achieve through paid media. LinkedIn’s analytics won’t calculate this for you, since it’s not a native metric.

LinkedIn’s native dashboard: what it gives you and where it stops

• Visitors (page views, unique visitors, demographics). 
• Followers (growth over time, demographics). 
• Content (impressions, views, per-post engagement). 
• Competitors (follower comparisons and trending competitor posts). 
• Leads and employee advocacy, if applicable to your page.

For a quick check on how a post performed or how the page is trending, that’s enough.

Where it stops:

• There is no way to tell if a month's LinkedIn metrics are good, just the raw number.
• History caps at 365 days, so a trend or seasonality check against last year isn't possible once that window closes.
• Competitor view is limited to basic follower counts and trending posts from the last 30 days, not deeper benchmarking like engagement rate or content-type performance across your whole competitive set.

You can't hand it over as a LinkedIn analytics report to anyone. I really just like to think of it as a source of data where I can pull the numbers I need, and that's about it. 

How Socialinsider helps for effective LinkedIn reporting

My test for effective LinkedIn reporting is simple: could someone read it and know what to do next without asking a follow-up question? Most native dashboards fail that test woefully. Here's how to use Socialinsider to fix that: 

• Extended historical data: According to LinkedIn’s Help documentation, native Page analytics cap out at 365 days; anything older simply isn’t visible in the dashboard anymore. 

That's a hard ceiling on tracking any LinkedIn analytics dashboard metrics over time; you can't compare this year against last year if last year's data is already gone. 

Socialinsider stores data past that 365-day cap, so year-over-year social media data collection stays possible instead of getting cut off at the one-year mark. 

• Cross-channel analysis: LinkedIn’s dashboard only shows LinkedIn; there’s no built-in way to see it next to your other platforms.

If your team runs Instagram or X alongside it, comparing the two means manually pulling numbers from separate places and lining them up yourself. Socialinsider pulls cross-platform analytics into a single view so you can see how LinkedIn is performing against the rest of your channels.

• Comprehensive content analysis. LinkedIn’s native view lists posts individually; it doesn’t group them by format or tell you which type is performing best as a category.

Socialinsider breaks content down by format automatically, so instead of scrolling through posts one by one, you can see at a glance which type is driving results. 

Without that breakdown, all you'd see is one total engagement number for the whole page, with no way to tell if that total came evenly from every format or almost entirely from just one. 

What to include in a LinkedIn dashboard, based on who's looking at it

When building a LinkedIn dashboard, we both know it changes depending on who's going to read it. Let’s break down what that looks like for each. 

Exec/leadership summary view (the 4-6 numbers that matter to a CMO)

What to include:

• Total followers
• Total posts
• Total engagement
• Engagement rate
• Period-over-period comparison
• A short executive summary of what the numbers mean

For a CMO, curiosity isn't the primary driver for checking a LinkedIn dashboard; accountability is. They're checking because someone above them, a board or CEO, is going to ask if the LinkedIn spend is worth it. 

These six numbers answer that question fast, without making the CMO decode raw data into a business case. 

Hand them a dashboard that doesn't do this, and the meeting either stalls while they scramble for an answer or the budget gets questioned, and I'm pretty sure that's not something you want happening at all. 

Content team view (post-level, format, top content pillars, cadence)

What to include:

• Individual post performance (which specific posts to repeat or drop)

• Format breakdown (which post types are working)
• Content pillar breakdown (which topics are still getting traction)
• Posting cadence (if team is posting often enough to see results at all)

The content team's actual job when using a LinkedIn dashboard is reviewing which posts, formats, and content pillars performed or underperformed weekly or monthly, then adjusting the plan going forward based on that review. And that adjustment depends on specifics, hence the need for these four.

How to build your own LinkedIn performance dashboard

Building your LinkedIn performance dashboard isn't as complicated as you might think; it really just comes down to three decisions. Here's how I build mine.

Define your reporting audience

Your reporting audience is simply who's going to read the dashboard:

• Leadership
• The content team
• A client
• Whoever else needs to see it

I always figure this out first, since the KPIs and timeframe I pick both depend on the answer. Skip this step, and you end up rebuilding the dashboard later once you realize it's answering the wrong question for the wrong person. 

Pick the KPIs

Once the audience is clear, the KPIs follow from what we already broke down: headline numbers and a summary for leadership and post-level detail and format breakdown for a content team. 

Piling on more metrics past this point doesn't make the LinkedIn dashboard more data-driven; it just buries the important KPIs your audience needs.

If you're unsure which metrics really count, a good social media metrics overview might help you before you build anything. 

Set an analysis timeframe

The timeframe depends on what's being measured for your LinkedIn marketing dashboard. A weekly cadence check needs a short window. You're mainly looking at if posts went out on schedule and getting an early read on engagement. 

A trend or seasonality check needs months, which is where LinkedIn's native 365-day cap becomes a real constraint and why extended historical data matters for this step specifically. 

LinkedIn dashboard templates/examples

I figured you could read all day about what to include in a LinkedIn dashboard, but nothing beats a couple of real examples. 

Monthly report: built for a repeating cadence, so trends are easy to spot at a glance without digging through raw exports every time. It includes: 

• Total engagement
• Posts published
• Net new followers
• Average engagement per post
• A daily engagement breakdown
• Engagement mix (likes, comments, shares)
• Follower growth over the period
• The single best-performing day

With this, you don't have to start from zero every month; you can easily tell if this month is better or worse than the last one, instead of just having a number with no way to know what it means.  

Campaign dashboard: built around one specific effort with a clear start and end, like a product launch or a webinar push, not something you'd check every week indefinitely.

What it includes:

• Combined engagement across the social media campaign
• Average engagement rate
• Total shares
• A side-by-side comparison of individual posts. 

Without a campaign dashboard, you're usually left with one combined number for the whole push: engagement went up, engagement stayed flat, and figuring out which specific post drove that number means manually checking each post instead of seeing them side by side. That's a lot of work if you ask me. 

PS: Both of these came from Socialinsider's MCP, a connector that links your Socialinsider data to an AI assistant like Claude or ChatGPT, so you can just ask it to build the chart or interpret the numbers for you.

Common mistakes when building a LinkedIn dashboard

Now that we’re done with the how-to, here are some common mistakes I see page admins and marketers make with social media optimization on LinkedIn.

• Ignoring seasonality: Comparing a month straight against the past month, with no account for a slow summer or a quiet holiday stretch, makes a normal dip look like a decline, and that ends with a budget getting pulled or content getting scrapped for the wrong reason.

The fix: Compare the same period year over year instead of month to month, and flag known seasonal patterns before concluding a dip or a spike. That's a basic rule worth following in social media analysis: check the calendar before you call something a trend, instead of reacting to every monthly swing. 

• No context for what “good” looks like: A single metric on a LinkedIn engagement metrics dashboard, like LinkedIn engagement rate, followers, or whatever it is, doesn’t tell anyone if it’s good, so the reader either assumes the worst or skips right past it.

The fix: Pair every number with a benchmark to measure it against: last period, a stated goal, or your own historical average. If you’re not sure which benchmarks to use, a social media evaluation framework helps you decide what “good” should look like for your account.

• Building the dashboard around vanity metrics: Leading with likes, impressions, or follower count makes the dashboard look active without saying anything, since none of those numbers connect to an outcome on their own.

The fix: Attach an outcome to every vanity metric before it goes on the dashboard: What did that engagement lead to? This is where thinking in terms of social media KPIs instead of raw metrics keeps the dashboard focused on outcomes.

Final thought

LinkedIn gives you the numbers. A LinkedIn dashboard into a report someone can actually act on, built around who’s reading it, backed by enough history to trust the trend, and clear on what “good” means for your account.

Socialinsider builds that dashboard for you: audience views, historical data, and cross-channel comparison all in one place. Start your 14-day free trial and stop rebuilding the same report from scratch every month.