Shield is closing. If you've got years of analytics locked inside it, the clock is ticking. Here's what to export, in what order, and where to put it so your history doesn't disappear with the servers.
If you’ve spent years building a record of your LinkedIn performance inside Shield, the announcement landed badly.
Shield Analytics is shutting down. New signups are already off. And the part most people are only realizing now: the analytics history living inside Shield dies with it.
Years of impressions. Engagement breakdowns. Post-by-post performance. Gone - unless you export before the servers go dark.
This is the practical version. Not why it happened (that’s a separate piece). Just: what to export, in what order, and where to put it so your history survives.
Shield never owned your LinkedIn data. It read your data and stored something LinkedIn itself refuses to give you: a longitudinal record. Impressions stretching back months and years. Engagement rates by post format. Your best hooks. Audience trends over time.
That longitudinal record is the asset.
LinkedIn’s native analytics only show you a rolling recent window - the last 28 days, the last handful of posts. The long view, the part that lets you see what compounded over two years of writing, is exactly the part that disappears when Shield closes.
The goal here is not “find a new tool.” The goal is narrower: get your history out while you still can. Then decide where it lives next.
Not the week of the deadline. Tools that are winding down get unreliable - support queues balloon, exports time out, and announced deadlines have a way of slipping earlier than promised.
Log into Shield and pull your CSV exports for post and profile analytics. Export every date range you care about, not just the last ninety days. The whole point is the history, so pull the whole history.
Then take screenshots of anything that doesn’t come through cleanly in CSV - the visual breakdowns, the demographic charts, the format comparisons. Screenshots are an ugly backup. An ugly backup beats a deleted one.
Save everything somewhere permanent. A dedicated folder in cloud storage, not your Downloads.
Shield read your data. The underlying source of truth is LinkedIn itself - and you can request your own copy directly.
On LinkedIn: Settings & Privacy → Data Privacy → Get a copy of your data. Request the full archive: posts, activity, and analytics where available. LinkedIn emails you a download link, usually within 24 hours.
This archive is the thing that matters most for continuity. It lets a new tool rebuild years of history instead of starting from zero on signup day.
Even if you don’t know yet where you’re moving, request it now. It costs nothing. It’s the difference between migrating and starting over.
For individual high-performing posts, LinkedIn lets you export a per-post analytics file directly from the post’s analytics view. These hold the granular numbers - impressions, reactions, comments, reposts, saves, and audience breakdown by job title, location, and industry.
You don’t need to do this for everything. But for the ten or twenty posts that define your brand - the ones that brought inbound, the ones people still reference - export those individually.
They’re the cleanest, most structured record you have of what actually worked. And they’re the easiest thing for a new tool to read precisely.
This is where most “Shield alternative” listicles quietly fail you.
Several of the recommended replacements are built the same way Shield was: a browser extension reading your LinkedIn pages in the background. That’s the exact architecture that just died. Move to one of those and there’s a real chance you’re writing this same migration post again next year.
When you evaluate a replacement, the feature list comes second. One question comes first:
How does this tool get my data?
If the answer is “a Chrome extension that reads the page” or “it logs into your account in the background,” you’re looking at the fragile model that just failed. If the answer is “you bring data you already own,” you’re looking at the model that survives platform crackdowns - because there’s nothing for the platform to detect, throttle, or switch off.
LinkedIQ is built on the second model. No extension. No background login. You bring your LinkedIn exports - your post content and your per-post analytics - and LinkedIQ turns them into intelligence: engagement and virality scoring on your real numbers, hook and format analysis on your actual posts, and voice and positioning insight drawn from your profile.
It asks a few minutes of uploading that a background scraper hid from you. That’s the trade: a little deliberate effort now, in exchange for a record that doesn’t vanish the next time a platform changes its mind.
The whole thing takes about fifteen minutes of active work (plus the 24-hour wait for LinkedIn’s archive email):
Shield was good. It ran for years, and people happily paid for it.
It didn’t lose to a better competitor. It lost because it was built on access LinkedIn could revoke - and eventually LinkedIn did. That’s not a knock on the team. It’s a warning for everyone downstream.
Your LinkedIn intelligence is too valuable to keep renting through a connection someone else controls. Get your history out this week. Then move it somewhere built to survive the next policy change, not just this one.
If you want a destination that runs entirely on data you own, bring your history into LinkedIQ and see your performance rebuilt from exports nobody can switch off.