How to Export Data from LinkedIn Analytics to Excel (Step-by-Step Guide, 2025)

LinkedIn gives you dashboards. Pretty graphs. Tiny insights.

But here’s the real talk: if you want to dig deep, you’ve got to get dirty with the raw data about engagement and the way you do that? You export it. Straight into Excel.

That’s where the magic happens. Spreadsheets don’t lie. They let you twist, pivot, clean, and visualize the data on your terms.

This guide? It’s everything. Company Pages, Creator accounts, Campaign Manager for ads. Step-by-step. Limits. Fixes. Even some Excel tricks to make the data usable.

Let’s start quick, then go deeper.

Quick answer: export LinkedIn analytics to Excel in 3 minutes

Here’s the cheat code.

Company Pages → Analytics → Export → choose module + date range → CSV → open in Excel.
Creator accounts → Analytics & Tools → Post analytics → Export → CSV → Excel.
Ads (Campaign Manager) → Reports → Create/Export → CSV → Excel.

That’s it. Takes minutes.

But if you want to understand the quirks, keep reading.

How to Export Data from LinkedIn Analytics to Excel: Step-by-Step

Prerequisites: roles, access, supported browsers, and Excel version

Before you rage at a missing button, check your setup.

Not everyone gets export rights. LinkedIn locks it down. Company Page exports are only for Admins or Analysts. Ads? You’ll need proper account access in Campaign Manager. For personal analytics, Creator Mode has to be switched on.

Also: use Chrome or Edge. Safari glitches more often than not.

And yes, CSVs technically open anywhere. But if you’re on an older Excel build, brace for encoding issues. Stick with Excel 2016+ or 365 if you want smooth sailing.

Export LinkedIn Page analytics (Company Pages)

Company Pages give you three data streams: visitors, followers, updates. Each can be exported separately.

To get visitor data:

Go to your Company Page.
Click Analytics.
Pick the module Visitors.
In the top right, smash Export.
Pick your date range. Download the CSV.

Same process for Followers and Updates. The Updates export is gold because it’s post-level. You’ll see impressions, clicks, reactions, shares every post lined up.

Want to dig into audience growth? Hit the Followers tab. That export shows industries, job titles, geographies. Who your audience really is.

Limits? Yeah, they exist. You only get a year of data at once. Time zones default to UTC, which will mess with you if you don’t adjust. And forget profile views LinkedIn doesn’t let you export those.

Export Creator/personal post analytics

If you’re a solopreneur, consultant, or just building in public, you’ll care more about Creator analytics.

Step one: flip on Creator Mode. That unlocks the Analytics & Tools tab on your profile. Without it, you’re stuck with scraps.

Once it’s on:

Navigate to Analytics & Tools > Post analytics.
Scroll down. In the top right, you’ll see Export.
Choose a date range. Download CSV.

What’s inside? Post-level metrics: impressions, reactions, comments, shares, clicks. Enough to spot trends and see which content pops.

The catch: no follower lists, no profile view exports, and your date range is capped (usually six months). Still, it’s better than nothing.

Export LinkedIn Ads analytics (Campaign Manager)

If you run ads, this is where the heavy data lives.

To export once:

Go to Campaign Manager.
Pick your account.
Click Reports > Create report.
Select campaigns or ads, pick metrics.
Hit Export CSV.

That’s your one-off pull.

If you’re running multiple campaigns? Automate. Inside Reports, you can Schedule exports. Send them daily, weekly, or monthly. Email to yourself or teammates. Saves hours.

What you’ll see in those CSVs: campaign names, spend, impressions, clicks, CTR, conversions. Map those columns into Excel. From there, you can track spend efficiency, calculate CPC, or build a performance dashboard.

What you can export: metrics, date ranges, and file formats

Let’s bucket it.

Pages: impressions, unique visitors, clicks, reactions, comments, shares, follows, demographics.
Creator: post-level impressions, reactions, comments, shares, CTR, engagement rate.
Ads: account, campaign, and ad metrics. Impressions. Clicks. Spend. CPC. CTR. Conversions.

Every export is CSV. LinkedIn doesn’t do XLSX. So you open the CSV, then save as XLSX if you want.

Open and format the CSV correctly in Excel

Raw exports are messy. Columns look fine at first, then you notice dates in UTC, numbers formatted as text, or worst case all the data crammed into a single column.

Here’s how you fix it:

First, import the CSV with the right delimiter (comma) and UTF-8 encoding. If you just double-click, Excel sometimes botches it.
Next, clean the formats.
Convert dates to your local time zone.
Change text-formatted numbers into actual numbers. And be mindful of regional settings commas vs periods for thousands separators can flip values.

Once it’s clean, turn your dataset into a Table (Ctrl + T). That unlocks filtering, sorting, and structured references.

From there, build pivots. Engagement by post type. Audience growth by month. Ads spend vs conversions. Excel gives you flexibility LinkedIn’s UI never will.

Ready-made Excel templates to speed up analysis

You don’t need to reinvent dashboards. Build once, reuse forever.

Some useful templates:

A Top-posts dashboard: track engagement rate, CTR, reach. Spot your winners.
An Audience growth and demographics overview: see follower growth by role, industry, location.
An Ads performance scorecard: calculate ROAS, CPA, CPL. Compare campaigns side by side.

Drop in new CSVs, refresh, done.

Automate exports and refreshes

Manual downloads? Painful. Automation is smarter.

One route: Power Query in Excel. Save your CSVs into OneDrive or SharePoint, connect with Power Query, and every time you open the file, the data refreshes.
Another route: no-code connectors. Tools like Coupler.io, Coefficient, and Supermetrics pull LinkedIn analytics straight into Excel or Google Sheets. Set a refresh schedule, stop worrying.

If you’re on ads, lean on Campaign Manager’s scheduled reports. They’ll hit your inbox daily, weekly, or monthly. Hook them to Power Query for auto-ingestion.

And yes, APIs exist. But with rate limits and strict terms. Don’t scrape it’ll get your account flagged.

Troubleshooting common issues

Export buttons vanish. Columns look weird. Excel mangles your data. Happens all the time.

If the Export button is missing or grayed out, it’s usually permissions. You need to be a Page Admin, or have proper ad account access. Sometimes it’s just browser cache refresh.
If your CSV looks blank or has missing fields, check which module you exported. Follower exports don’t include post metrics. Post exports don’t include demographics.
If Excel dumps everything into a single column, that’s delimiter issues. Use “Text to Columns” and set delimiter to comma.

Numbers showing up as text? Convert the column format. Same with percentages make sure the cell type matches.

Big files choking Excel? Remember, Excel maxes out at ~1 million rows. Split the file or move into Power BI or a warehouse if you’re scaling.

Best practices, compliance, and data privacy

Just because you can export doesn’t mean you should share freely.

Stay inside LinkedIn’s Terms. Don’t hack around to pull follower lists. Don’t scrape reactions.

Keep privacy in mind. Follower demographics are aggregate, but still sensitive. Store exports securely. Limit who has access.

Also, document your metrics. Define “engagement rate.” Define “CTR.” If your team doesn’t share definitions, your analysis will drift into chaos.

Conclusion and next steps

At the end of the day, exporting your LinkedIn analytics into Excel is less about “downloading a CSV” and more about taking control of your data story.

LinkedIn’s dashboards are fine for quick checks, but they’ll always keep you boxed in. Limited ranges. Aggregated views. Pretty visuals with shallow depth.

Excel blows that box wide open.

Once you’ve got the raw exports, you’re free to slice engagement by post type, track ad spend efficiency over time, or build custom dashboards that actually match your goals not LinkedIn’s defaults.

That’s the real win here: turning scattered numbers into usable insights that drive smarter content and campaign decisions.

But here’s the kicker: consistency compounds.

The first export feels clunky.
You’re wrangling CSVs, fixing delimiters, adjusting time zones.
Do it a few times, though, and it becomes muscle memory.
Set up templates.

Suddenly, what was once a manual chore is a smooth, repeatable process. Each week or month, you drop in fresh data and instantly see how your strategy is performing.

So here’s your roadmap: export, clean, analyze, repeat. Use Excel as your control room for everything from top-post analysis to ads ROI. Over time, you’ll stop guessing what works on LinkedIn and start knowing with hard numbers backing every move.