Overview
Analyze LinkedIn post performance for published posts, spot meaningful patterns, and turn results into focused content experiments.
Overview Postorollo is LinkedIn post analytics for people who want to learn from what they publish. See how your published posts performed and understand what the results may be telling you. Compare outcomes, identify patterns, and move from raw numbers to clearer hypotheses. Use those insights to decide what to test in your next posts. Postorollo keeps the workflow focused on learning from real publishing results instead of guessing what might work. How It Works 1. Open LinkedIn and go to the post you want to review. 2. Open Postorollo to analyze the available performance data. 3. Review how the post performed and compare the result with relevant context. 4. Look for patterns and use them to form a hypothesis. 5. Turn that hypothesis into a focused experiment for your next post. Key Features - LinkedIn post performance — understand how individual published posts performed instead of looking at isolated numbers without context. - LinkedIn post insights — surface useful signals that can help explain what may have contributed to a result. - LinkedIn post metrics — review the performance information that matters for evaluating published content. - LinkedIn post analysis — move from post results to clearer observations and hypotheses. - LinkedIn content analytics — learn from patterns across your published content and use those learnings in future experiments. Why Use Postorollo? Postorollo is built for LinkedIn creators, founders, consultants, marketers, and professionals who publish regularly and want to improve through evidence rather than intuition alone. It is most useful when you already publish content and want to understand what happened, why a result may be worth investigating, and what you should test next. The goal is not to give you more numbers. The goal is to make the numbers easier to act on. Postorollo is focused on analyzing published LinkedIn content. It is not designed as a general social media dashboard, advertising platform, lead-generation tool, or content-idea generator. That narrower workflow helps keep every analysis connected to a real publishing decision. Permissions & Privacy Postorollo requests only the browser permissions required for its functionality. Your Chrome Web Store permissions panel shows exactly what access the extension requests. Review the published privacy policy for full details about how data is handled. FAQ How do I see LinkedIn post analytics with Postorollo? Open the LinkedIn post you want to review and launch Postorollo. The extension helps you examine the available performance information and turn the result into a more structured analysis. How can I understand LinkedIn post performance? Rather than judging a post from one number alone, Postorollo helps you review the result in context, identify useful patterns, and decide what may be worth testing next. What are LinkedIn post insights? Post insights are observations you can draw from the performance of a published post. Postorollo helps turn those observations into clearer hypotheses instead of leaving you with raw metrics alone. What LinkedIn post metrics should I look at? The most useful metrics are the ones that help you evaluate whether a post achieved its intended outcome. Postorollo keeps the analysis focused on interpreting available post-level performance data rather than maximizing arbitrary vanity metrics. Can I use Postorollo for LinkedIn content analytics? Yes. Postorollo is designed to help you learn from published LinkedIn content, identify recurring performance patterns, and use those learnings to guide future experiments.
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Details
- Version0.4.7
- UpdatedSeptember 28, 2026
- Size92.04KiB
- Languages6 languages
- Developer
- Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes
Support
For help with questions, suggestions, or problems, visit the developer's support site