#linkedin

#linkedin

How often should you post on LinkedIn? 🚀 According to our findings, moving from 1 post a week to 2 to 5 is like flipping a switch - LinkedIn starts distributing your content more widely and rewarding you with stronger per-post performance. Our data shows that posting 2 to 5 times weekly on LinkedIn is the sweet spot for improving reach and engagement without overwhelming your schedule.

Even if you're happy with your current employer, you may be looking to climb the ladder, broaden your experience, or find a role in a new city.

When you post on LinkedIn, you'll begin to receive notifications when your posts drive profile viewers or new followers, alongside impressions. These notifications will come periodically as your content continues to reach more audiences, including at the 3 day and 7 day after-posting mark.

When a member - executive, employee, creator, or industry expert - shares an event Page, marketers can now promote that post with a Thought Leader Event Ad.

LinkedIn recently published an overview of some of its latest and greatest ad improvements, which could significantly enhance marketing strategies.

Thought leadership is not a campaign. It's not a post. It's not a shiny new format for marketers to test. It's a philosophy and a practice rooted in generosity.

Employees serve as a company’s best marketing assets on LinkedIn, regardless of their position, when they utilize the right strategy, support, and storytelling framework.

Most teens view LinkedIn as an adults-only platform, assuming networking will come later. This approach overlooks a critical opportunity to connect with college admissions and scholarship committees.

"As we create product, marketing, or branding content, how can we ensure it feels authentic and human? Let's look at LinkedIn content feed in this article and explore design solutions."

LinkedIn introduces Northguard, a log storage system overcoming Kafka's challenges by offering scalable architecture and seamless integration, enabling greater efficiency in data management.