Performance analytics that inform the next post

LinkedIn's native analytics tell you what a post did. Postbrander tells you what to do next — and then does it. Every metric feeds back into the generator so the post you create tomorrow is shaped by what worked today.

What we track

For every post you publish through Postbrander, we record impressions, reactions, comments, shares, reposts, profile clicks, and — where LinkedIn exposes it — dwell time and click-through on any link. We also capture post-level metadata that native analytics does not surface cleanly: which voice profile wrote it, which generation mode, which format, which topic, and what time it went out.

That richer signal is the difference between knowing a post did well and knowing why it did well. Without it, you are guessing every time you sit down to write.

Your dashboard, not LinkedIn's

LinkedIn's analytics cover roughly 28 days and group everything into a single engagement rate. Postbrander keeps the full history of every post, lets you filter by topic, format, time of day, day of week, or voice profile, and compares performance month over month. You can finally answer questions like “do my carousels beat my text posts?” in about three seconds — the sort of question our LinkedIn analytics guide covers in detail.

The generator reads your analytics

This is the part most tools skip. When you ask Postbrander to generate a new post, the AI has access to your top-performing posts from the last 90 days. It sees the patterns: your hooks that converted, your formats that landed, the topics that pulled comments. It writes in that direction by default.

It also sees what did not work, and learns to avoid it. Over time your feed becomes tighter. You spend less energy figuring out what to post because the tool has already noticed what works for your specific audience — which is also the principle behind our posting frequency guide: ship the shapes that earn their slot.

Recycle your greatest hits

A post that performed well six months ago has value again. LinkedIn audiences cycle fast and most of your followers did not see it the first time. Postbrander flags eligible posts for recycling and can rewrite them with a fresh angle so they do not feel repeated. The historical winners do not just sit in your archive — they feed the pipeline.

Benchmarks, not vanity metrics

Every engagement number in Postbrander is compared against our 2026 benchmarks so you know where you stand. A 3% engagement rate on a text post is strong. A 3% engagement rate on a carousel is below average. Raw numbers are easy to misread — relative numbers tell you what to change.

Related reading

Frequently asked questions

What metrics does Postbrander track?+

Impressions, reactions, comments, shares, reposts, profile clicks, and — where LinkedIn exposes it — dwell time and click-through on any link. We also capture the voice profile, generation mode, format, topic, and post time for every post so you can filter performance by any dimension.

How far back does the analytics history go?+

Postbrander keeps the full lifetime history of every post you publish through the platform. LinkedIn's own analytics cover roughly 28 days, which is why we maintain the longer record ourselves.

Does my data feed back into the AI?+

Yes. Your top-performing posts from the last 90 days inform every new generation. The model leans toward hooks, formats, and topics that have landed for your specific audience, and avoids patterns that have underperformed.

Which plans include full analytics?+

Full analytics and post recycling are included on Pro and Business plans. The free plan shows basic post counts and engagement totals.