How Far Back Does LinkedIn Analytics Go?

Trying to find historical data on your LinkedIn Company Page can feel like looking for a needle in a haystack. You know you posted that great update last year, but when you look at the analytics, the data seems to drop off a cliff. This article will give you the direct answer about how far back LinkedIn analytics go and provide practical strategies for tracking your performance long-term.

The Quick Answer: LinkedIn's Data Retention Limits

The core frustration for most marketers is that LinkedIn’s native analytics for Company Pages only go back 365 days. This one-year rolling window applies to most of the organic metrics you care about, creating challenges for year-over-year analysis. However, the exact lookback period can differ depending on where you're looking and what data you need.

Company Page Analytics: The 365-Day Rule

When you navigate to the "Analytics" tab on your Company Page, nearly everything you see is subject to a 365-day lookback period. This means on any given day, you can only see data covering the previous 365 days from that date.

Visitor Analytics: Data on your page views, unique visitors, and visitor demographics (like job function, seniority, and company size) is limited to the last 365 days. You can't compare this January's page traffic to the January from two years ago directly within the LinkedIn UI.
Follower Analytics: Follower counts and demographic data are also capped at 365 days. While you can see your total follower count, the historical graph showing follower growth over time stops after one year.
Update/Content Analytics: Metrics for your individual posts — impressions, clicks, comments, shares, and engagement rate — are available for the past year.
Competitor Analytics: The new competitor tracking feature, which shows follower growth and organic engagement relative to your competitors, is similarly restricted to the last 365 days.

Personal Profile Analytics: A Much Shorter Window

It's important not to confuse company analytics with the personal analytics on your own profile, which are far more limited.

Who's Viewed Your Profile: This data is restricted to the last 90 days. If you don't have a Premium subscription, you may only see the last few people who checked you out.
Post Analytics: Data for posts from your personal profile is available for about 60-90 days, showing viewer demographics, engagement, and impressions. The immediate "view" count visible under a post becomes an estimate after about two months.
Search Appearances: This metric, showing how many times your profile appeared in search results, only covers the last 7 days.

LinkedIn Ads Analytics: The Exception

Thankfully, data for paid campaigns in LinkedIn Campaign Manager has a much longer memory. You can generally access performance data for your ad campaigns from the moment they were launched. This includes metrics like spend, impressions, clicks, CTR, and conversions. While the main dashboard view might default to a shorter timeframe, you can adjust the date range to "Maximum" or a custom range to see data that is more than a year old. This is crucial for evaluating long-term campaign effectiveness and ROI.

Why Does LinkedIn Limit its Historical Data?

While frustrating, LinkedIn has a few practical reasons for restricting data history on its free analytics tools.

Performance and Storage Costs: Storing and processing years of historical data for millions of company pages is an immense technical challenge. Limiting the lookback period keeps the platform snappy and controls infrastructure costs. Imagine the load times if every analytics request had to query five years of data.
Focus on Fresh, Actionable Data: LinkedIn's platform prioritizes recent activity. They want to encourage marketers to focus on current trends and optimize their strategy based on what's working now, not what worked three years ago in a different social media landscape.
Encouraging API and Partner Tool Usage: By providing a limited native experience, LinkedIn creates an ecosystem for third-party analytics tools. These tools use LinkedIn’s API to pull data consistently, allowing them to store it and offer historical analytics far beyond the 365-day limit. This is a common strategy among SaaS platforms.

How to Find and Export Your LinkedIn Analytics

Despite the time limits, it’s essential to know how to access the data you do have. You should get into the habit of archiving this data regularly before it disappears.

Exporting Company Page Data

Here’s the standard process for pulling your company page data into a spreadsheet for safekeeping. It's a manual process, but it's better than losing the data entirely.

Step 1: Navigate to your Company Page and click the "Analytics" tab.
Step 2: Choose the data type you want to export (Visitors, Followers, or Content).
Step 3: In the top right corner of the dashboard, you’ll see an "Export" button.
Step 4: Select your desired time frame. You can choose from presets like the last 30 days or set a custom range (up to 365 days).
Step 5: Click "Export." LinkedIn will generate a CSV or XLSX file containing the data from your chosen date range. For content analytics, it will export a spreadsheet with every post and its associated metrics from that period.

Pro Tip: Set a recurring calendar reminder for the first day of every quarter or month to export your data. This ensures you’re building a historical record before the oldest data is lost forever.

Advanced Strategies for Long-Term LinkedIn Tracking

Relying on manual CSV downloads is tedious and prone to error. If you forget to download your report one month, that data is gone. For a more robust and automated solution, consider these professional-grade strategies.

Strategy 1: Use a Third-Party Social Media Management Tool

Many popular social media scheduling and analytics platforms (like Sprout Social, Agorapulse, or Hootsuite) have built-in analytics that connect to LinkedIn's API. When you connect your LinkedIn page, these tools start pulling and storing your performance data on their own servers.

The Benefit: From the day you connect your account, the tool will build an indefinite historical record for you. A year from now, you’ll be able to compare performance without issue.
The Downside: These tools often come with a monthly subscription fee, and you only get historical data from the point you sign up. They can’t retroactively pull data that LinkedIn has already aged out.

Strategy 2: Automate with Connectors and Spreadsheets

This is a slightly more advanced method that bridges the gap between manual exports and fully fledged BI platforms. Tools like Zapier or Make.com can be used to create automations that pull data from LinkedIn's API on a schedule and add it as a new row in a Google Sheet or Airtable base.

The Benefit: It’s a highly customizable and often cost-effective way to build your own historical database, without writing code. You control the data and where it's stored.
The Downside: Setting this up can be tricky if you’re not familiar with these automation platforms. You’ll need to manage the "zap" or "scenario" and ensure it runs correctly without errors. You also have to build your own charts and visualizations from the raw data dump.

Strategy 3: Connect to a Data Warehouse and BI Tool

For large organizations or agencies, the most powerful solution is to feed LinkedIn data directly into a data warehouse like Google BigQuery, Snowflake, or Amazon Redshift. This involves using an ETL provider to pipe the data from LinkedIn’s API into your warehouse.

The Benefit: This creates a permanent, secure, and scalable home for all your marketing data, not just from LinkedIn. You can then use visualization tools like Tableau, Looker, or Power BI to build sophisticated, cross-channel dashboards that analyze trends over years.
The Downside: This method is complex, expensive, and requires a dedicated data team or technical expertise. It's overkill for most small and mid-sized businesses that just want to see if their LinkedIn engagement is growing.

Final Thoughts

LinkedIn provides a solid set of analytics, but the rolling 365-day lookback period on company page data makes true long-term analysis impossible with the native tools alone. Understanding this limitation empowers you to implement a strategy — whether manual spreadsheet archiving or using an automated tool — to build the historical view you need to track performance over time.

This exact challenge is why we built Graphed. Instead of wrestling with monthly CSV exports or piecing together complex automations, you can connect your LinkedIn Page and Ads account in seconds. We automatically pipe in your data, storing it indefinitely so your historical record is always complete. From there, you can use simple, natural language to instantly create dashboards and reports, letting you analyze your LinkedIn performance years into the past and see how it connects to the rest of your marketing and sales data.