LinkedIn Analytics Historical Data: How Far Back Can You Go?

LinkedIn's own analytics let you look back at most 365 days. The date picker in creator analytics runs from the past 7 days up to the past 365 days, and exports follow the same rolling window. Anything older than a year cannot be pulled from the dashboard, so the only way to keep a longer history is to export regularly and store the files yourself.

This guide covers what LinkedIn keeps, how to see posts older than a year, and how to build your own archive from monthly exports. LinkedIn changes these screens from time to time, so check the date range you are actually offered before you rely on the figures below.

New to LinkedIn analytics? Start with the complete beginner's guide to understand the metrics before digging into history.

What LinkedIn Keeps and For How Long

The windows below are what LinkedIn's help pages and the analytics screens offer at the time of writing.

Data type	Where to find it	Longest range offered
Post analytics (personal profile)	Creator analytics, Posts tab	Past 365 days
Audience and follower growth (personal profile)	Creator analytics, Audience tab	Past 365 days
Company Page content, followers, visitors	Page admin view, Analytics menu	About one year
Profile views	Profile analytics	Short rolling window, and not part of the export

Important Limitations

Rolling window: The 365-day limit moves with you. A post from 13 months ago stops appearing in the date picker even though the post itself is still live on your profile.

Totals are not history: Your current follower count is always shown, but the day-by-day growth chart only covers the range you select. Demographic breakdowns describe your audience today, not the audience you had a year ago.

Account age: If you started posting recently, you only have data from then. Some newer analytics features also only hold data from the day they launched.

Time zones: Page exports default to UTC, so day boundaries can differ slightly from what you see on screen.

Seeing Posts Older Than a Year

This is the question most people arrive with, and it has a split answer: you can still see the posts, but not their numbers.

The posts themselves: Everything you have published stays on your profile under Activity, then Posts. You can scroll back as far as you like and read the old text. You will see the reaction and comment counts as they stand today, but not impressions or the other analytics for that period.

The text of old posts in bulk: Request your full data archive from LinkedIn's settings (Data privacy, then Get a copy of your data). The Shares file lists your posts with dates, text and links, which is the practical way to search your own back catalogue. It does not carry impressions.

The numbers for old posts: If you did not export them within a year of publishing, they are gone from the dashboard. This is why a monthly export habit matters more than any tool.

Exporting Before the Window Closes

An export takes a minute and is the only thing that protects your history.

Open creator analytics and go to the Posts tab.
Set the range to the longest option (past 365 days) for your first export, then to the past 90 days or past 28 days for your routine ones.
Click Export. The spreadsheet downloads immediately.
Save it with the export date in the filename, for example linkedin-posts-2026-10-05.xlsx.

For Company Pages, open the Analytics menu in the admin view, pick Visitors, Content or Followers, choose a timeframe and export. Each report is a separate file, so export all three.

Step-by-step instructions with the exact menu paths are in how to download LinkedIn analytics data.

Building Your Own Archive From Monthly Exports

The creator export covers a rolling window and caps its ranked sheets, so the aim is overlap: export often enough that every post appears in at least one file.

A routine that works:

Export the past 90 days once a month. Three months of window against a one-month cadence means a missed month does not leave a gap.
Keep every file. Do not overwrite last month's.
Once a quarter, merge the files into one sheet keyed by post URL. When a post appears in several files, keep the latest row.
Keep a short changelog of anything that affects comparison: a format change, a new posting cadence, a pause.

A simple folder structure:

Layer	What goes in it	Keep for
Raw exports	Every monthly file, untouched	Indefinitely
Merged sheet	One row per post, latest figures	Indefinitely
Notes	Platform changes and context	Indefinitely

Use the archive: The free best-time-to-post tool reads a LinkedIn analytics export in your browser and shows which days and hours worked for your own posts. It is a quick way to get value from the files you are saving. Understanding the numbers in them is covered in what LinkedIn impressions mean.

What the Export Leaves Out

An archive built from exports is only as good as the export, so know the gaps.

Ranked sheets are capped. LinkedIn limits the top-posts sheets to 50 posts per ranking, so a busy account gets a snapshot of its best posts in the window, not every post.
Per-post figures cover the exported window. A post's numbers in a 90-day export describe that window, not its lifetime. Do not add figures from overlapping files together.
Profile views are not exported, and demographic breakdowns reflect your audience at export time.
Old posts that fell out of the window appear in no file unless you exported earlier.
Click timing and individual viewer detail are not in the file at all.

Working Around the Gaps

When the numbers for a period are gone, use indirect evidence rather than guessing.

Website analytics: LinkedIn referral traffic and UTM-tagged links in Google Analytics keep their own history, often much longer than LinkedIn does. See the Google Analytics integration guide.

CRM and sales data: Lead source fields and pipeline dates show which months LinkedIn drove conversations, even when the post-level data is gone.

Your own posts: The text and dates of old posts are still available from your profile or the data archive, so you can at least reconstruct what you published and when.

Common Historical Data Problems

Metric definitions change. LinkedIn adjusts how it counts and labels things. Note the date when a column changes name or meaning, and compare rates and rankings rather than raw totals across the change. Our LinkedIn KPIs guide explains which rates are worth logging.

You started late. If you only began exporting recently, say so in your notes and treat earlier periods as unknown rather than estimating them.

The file format changes. Exports have changed layout before. Keep the raw files so you can reparse them, and write any merge script to fail loudly when a column is missing.

Key Takeaways

The window is 365 days. Anything older than a year cannot be exported from LinkedIn.
Export monthly. Overlapping 90-day exports mean no post is missed.
Keep raw files and one merged sheet. Raw files protect you from format changes.
Do not add overlapping windows together. Take the latest row per post.
Old posts stay visible, their analytics do not. The data archive gives you the text and dates.
Use website and CRM data to fill gaps instead of estimating.

Start your archive today. Export the past 365 days now, then set a monthly reminder.

Where LinkIntel Fits Now

LinkIntel is now an MCP server that gives your AI assistant evidence for its next X post, built from your own X post metrics and public X posts you choose as references. LinkedIn is not open to new customers yet, so there is no subscription route for LinkedIn history. What you can use today, free and without an account connection:

The best-time-to-post tool turns a LinkedIn analytics export into a posting-time heatmap in your browser.
The LinkedIn export import page explains how LinkedIn's creator export is read, and what it can and cannot tell you.
The X ranking signals page shows the weights X publishes for its recommendation algorithm, if you also post there.
If you also post on X, the X analytics history guide covers how far back X Analytics goes and how to keep a record of it.

Related Resources

How to Download LinkedIn Analytics Data - the step-by-step export walkthrough
Complete LinkedIn Analytics Guide - the fundamentals
What LinkedIn Impressions Mean - reading the numbers in your exports
LinkedIn and Google Analytics - keep referral history outside LinkedIn