LinkedIn analytics, that drive the next post.
LinkedIn is BAT's deepest analytics surface. It syncs your owned profile, ingests imported dataset snapshots, and scores posts individually, then turns the numbers into a strategy report and the next on-brand draft. Honest caveat: analytics can run on an imported dataset, so a given figure may be a snapshot rather than a live first-party API pull, and BAT labels which.
The richest analytics surface BAT exposes, by a wide margin.
Most schedulers give LinkedIn a single impressions number and move on. BAT treats it as the flagship analytics surface. Per-platform analytics over your own posts and tracked competitors, computed from one unified post index, with AI strategy reports and CSV export. On LinkedIn specifically that means owned-profile sync plus imported dataset snapshots with individually scored posts, so you can see not just that a post did well, but which format and angle carried it.
Every figure sits in one unified post index that holds both your posts and the competitors you track, so an owned-vs-rival benchmark is a single view rather than a manual spreadsheet join. If you want the cross-network picture, see the social media analytics tool. When the numbers tell you what to ship next, hand it to LinkedIn scheduling and publish it in its native format.
What LinkedIn analytics actually measure here.
Grounded in how BAT computes LinkedIn metrics. First-party where the platform allows it, snapshot-honest where it doesn't.
Owned-profile sync
First-party analytics pulled from your connected LinkedIn profile or page: engagement rate, a performance score, and a post-by-post breakdown rather than one rolled-up vanity figure.
Imported dataset snapshots
Bring a LinkedIn analytics export and BAT ingests it as a dated snapshot. That is why analytics still work before, or alongside, a live API connection, and why a number may be a snapshot rather than a live pull.
Individually scored posts
Each post gets its own performance score, so you can rank your text posts against your documents against your polls and see which native type your audience actually rewards.
Owned-vs-competitor benchmarks
Dedicated LinkedIn competitor analytics put your numbers next to the rivals you track, so 'good engagement' is measured against your real category instead of a generic industry average.
AI strategy reports
Run a report over your analytics window and get structured plus markdown output: what worked, what stalled, and what to try next, exportable to CSV for your own deck or client report.
Suggested posting times
Send-time recommendations derived from your own LinkedIn engagement-by-hour history, with a platform-canonical fallback when you are still building up data.
Built around LinkedIn's native post types.
Analytics are only useful if they map to what you can actually publish. BAT scores every native LinkedIn type it supports: text, single image, document/PDF carousel, video, article, poll.
- Text and single image: the everyday formats, scored side by side so you can see whether your audience prefers a clean take or a visual.
- Document / PDF carousels: the swipeable LinkedIn document format, tracked as its own type so its outsized reach shows up clearly in the score, not buried in an 'other' bucket.
- Video, article, poll: each native type carries its own engagement read, so a strong poll week and a flat video week never average into a meaningless single line.
- Format-level takeaways: because types are scored separately, the AI strategy report can recommend a concrete next move ('lean into documents, retire the plain links') instead of a vague 'post more'.
The honest part: first-party, but snapshot-aware.
BAT counts LinkedIn as first-party analytics, and it is the strongest first-party surface in the product alongside Instagram and Facebook. But honesty matters more than a clean marketing line: LinkedIn analytics can run on an imported dataset, which means a given metric may be a dated snapshot rather than a live first-party API reading. BAT surfaces which is which so you weight the numbers correctly, and never presents a stale export as if it were live.
This is deliberate. Imported snapshots are what let the analytics work immediately, and they keep a clean historical record even when a connection lapses. The trade-off is that "live" and "snapshot" are not the same thing, and we label them instead of blurring them. For the networks where BAT does not have first-party access at all, X, TikTok, Threads, and Pinterest, profile data comes from third-party scrapers, and those pages say so plainly too.
LinkedIn is the deepest, but it lives in one index.
BAT indexes all eight native networks into a single post index. LinkedIn, Instagram, and Facebook are the first-party surfaces; X, TikTok, Threads, and Pinterest are scraper-sourced and carry that caveat. One idea can be measured, and published, across all of them.
One idea, eight platforms.
LinkedIn analytics are the anchor, not the cage. The same workspace that scores your LinkedIn posts drafts, schedules, and benchmarks across every connected network.
Measure on LinkedIn, repurpose everywhere
Find your top-scoring LinkedIn post, then spin its angle into a thread, a reel script, or a carousel for other networks, each in its native format.
Reporting deliverable
Need the formatted client-ready report rather than the raw dashboard? The reporting tool packages the same numbers with CSV export.
Competitor depth
Go beyond your own profile and benchmark against the LinkedIn accounts you track, with owned-vs-competitor views that make the gap obvious.
Turn insight into content
The brand brain that scored your posts also drafts the next ones in your voice, so analysis feeds creation instead of stopping at a chart.
A LinkedIn point tool, or analytics wired to creation.
A dedicated LinkedIn analytics product can render a gorgeous dashboard, but it stops at the chart. You still read it, decide what it means, and go write the next post somewhere else. BAT closes that loop: the workspace that scored your LinkedIn posts drafts the next one from your brand brain, with the analytics already in context and an approval queue in front of publish.
Tools like Taplio go deeper on LinkedIn-only personal-brand growth, viral-post inspiration, a lead database, AI comments, and we do not pretend to match that single-network depth. If a founder's whole job is one LinkedIn profile, see the Taplio comparison and judge honestly.
Where BAT wins is the combination: first-party LinkedIn analytics with scored posts, owned-vs-competitor benchmarking, AI strategy reports with CSV export, and the same brand brain turning all of it into the next on-brand post across eight networks, not just LinkedIn. Measurement that does not feed creation is half a tool.
Frequently asked questions.
Is BAT's LinkedIn analytics first-party or scraped?
First-party. LinkedIn is BAT's deepest analytics surface, built on owned-profile sync plus imported dataset snapshots with individually scored posts. The honest caveat is that analytics can run on an imported dataset, so a given figure may be a dated snapshot rather than a live first-party API pull. BAT labels which.
What does it mean that analytics can run on imported datasets?
You can bring a LinkedIn analytics export and BAT ingests it as a dated snapshot, which is why the analytics work before or alongside a live connection and keep a clean history if a connection lapses. The trade-off is that a snapshot is not a live reading, and BAT surfaces the difference instead of blurring it.
Which LinkedIn post types does it track?
All the native types BAT supports: text, single image, document/PDF carousel, video, article, poll. Each is scored as its own type, so document carousels, polls, video, and plain text never average into a single meaningless line, and the strategy report can recommend a concrete next move.
Can I benchmark against competitors on LinkedIn?
Yes. Add competitor LinkedIn profile, company, or post URLs and BAT collects their posts and engagement into the same index as yours, with dedicated owned-vs-competitor views. Refresh is periodic or on-demand, not real-time monitoring, and each pull is dated.
Can I export the LinkedIn analytics?
Yes. AI strategy reports run over your chosen window and produce structured plus markdown output with CSV export, so you can drop the numbers into your own deck, sheet, or client report. Once you know what to post next, hand it to LinkedIn scheduling to publish natively.
Is there a free LinkedIn analytics tier?
No free tier. BAT starts with a 14-day free trial (200 credits, no card required), then Brands Starter from $100/mo. Pricing is flat per brand workspace, not per seat, so adding teammates does not raise the bill.
Score every post, then write the next one.
Sync your profile or import a dataset, let BAT score your LinkedIn posts and benchmark them against rivals, then turn the strategy report into the next on-brand draft. First-party LinkedIn analytics, snapshot-honest, wired to creation.