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How Does LinkedIn’s Algorithm Work to Enhance B2B Marketing Strategies

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LinkedIn algorithm

How Does LinkedIn’s Algorithm Work to Enhance B2B Marketing Strategies

For B2B marketing, mastering the LinkedIn algorithm is a strategy and a necessity for amplifying your brand’s presence, connecting with key stakeholders and maximizing your marketing ROI. LinkedIn is a networking platform for broadcasting your message, establishing your thought leadership and catalyzing business growth. Unlike other social media platforms, LinkedIn is designed for connections on a professional level — that means it uses specific metrics to evaluate posts.


Understanding the nuances of the LinkedIn algorithm and leveraging its capabilities to target your ideal audience is essential for any B2B marketer looking to capture completely the potential of digital marketing. 

What is the LinkedIn Algorithm?

At its core, the LinkedIn algorithm is a sophisticated system designed to manage and prioritize the content shared on the platform daily. It aims to present users with the most relevant and engaging content, enhancing their overall LinkedIn experience. For B2B marketers, this means that the visibility of your posts relies on their ability to meet the criteria set by the algorithm.


LinkedIn clarified that “LinkedIn is not designed for virality, but on occasion, posts that result in significant engagement in the form of likes, reactions, comments and reshares in a short period of time could be considered viral.” This insight into LinkedIn’s operational ethos provides a vital context for understanding how the algorithm functions and what it values.


Building on this foundation, how the algorithm assesses and prioritizes content becomes evident. Factors such as the immediacy of engagement a post receives, the established relationships between the poster and its audience and the inherent value of the content play critical roles in determining a post’s reach and visibility. Hence, crafting a content strategy that considers these elements is essential for amplifying your message on LinkedIn. By producing relevant, engaging and thought-provoking content, you pave the way for deeper, more meaningful interactions within your professional network, aligning with the platform’s core objective of fostering productive professional dialogue.

LinkedIn algorithm for B2B marketing

The LinkedIn Algorithm’s Impact on B2B Marketing

According to DemandSage, “Whether you’re searching for your next career move, connecting with industry leaders or building your professional brand, LinkedIn offers unparalleled opportunities. With more than 1 billion users worldwide, LinkedIn has become the 6th most popular social media platform. This membership has helped LinkedIn solidify its position as the premier professional networking platform.”


In response to its growing importance in the professional world, LinkedIn continuously updates its algorithm to enhance its value as a tool for career growth, networking and learning. These algorithm updates are significant for B2B marketers, as they directly influence how content is shared and engaged with on the platform. By shifting its focus to reward content that generates genuine engagement rather than content volume, LinkedIn underscores the need for marketers to produce high-quality, relevant material.


This strategic shift demands that B2B marketers adapt by prioritizing creating authentic, compelling content designed to capture and hold their audience’s attention. Whether by highlighting the latest trends in the industry or offering profound insights and valuable data, the goal is to foster a level of interaction that signals the LinkedIn algorithm to promote your content more widely. Such an approach aligns with the platform’s updates and significantly boosts the visibility and influence of your content within the professional community.


How the LinkedIn Algorithm Influences Your Posts

To leverage the LinkedIn algorithm for B2B marketing success effectively, it’s essential to understand how the platform assesses and prioritizes posts. The algorithm’s preference for engaging content means posts that foster interactions, such as comments and shares, are more likely to be distributed widely across the platform. This interactive engagement strongly indicates content quality and relevance, which the algorithm rewards by increasing visibility.


1. Maximize LinkedIn Engagement through Knowledge Sharing 

The Entrepreneur journal noted, “LinkedIn’s system is now evaluating whether a post contains knowledge and advice, and then showing it to other users who are likely to find the information relevant and useful.”


When creating content for LinkedIn, consider how your post can help other businesses be better at accomplishing their work. This approach positions you as an authority in your field and fosters a community of learning and growth. By focusing on the contribution to the professional development of your peers, you elevate the value of your interactions, making your content more meaningful and impactful.

2. Write About Your Expertise

LinkedIn recognizes if you post about topics you specialize in, according to Entrepreneur. “When you post something on LinkedIn, the platform isn’t just evaluating the value of your post. It is now also evaluating you — and whether you’re an authority in the thing you’ve posted about.”


This shift towards assessing the credibility of the content creator and the content itself underscores the importance of building and maintaining a strong personal brand on the platform. By consistently sharing expertise in your specialized field, you enhance your visibility and establish yourself as a trusted source of information, increasing your influence and engagement within your network.

3. Talk to a Particular Audience

According to a Buffer article detailing LinkedIn’s new strategy, “The promise of the algorithm is that if you create content relevant to a specific audience, they will see your content. The reverse is true for audiences: what they engage with is what they’ll see.”


So, consider how your posts can spur dialogue and participation among your audience. This could be done by including thought-provoking questions, sharing new insights that challenge conventional thinking, or creating polls that invite opinions. Additionally, responding to comments on your posts and engaging in discussions can further signal to the algorithm that your content fosters a vibrant exchange of ideas, thereby boosting its distribution.


Richard van der Blom, in his 5th Algorithm Insights 2024, observed, “LinkedIn’s algorithm places a high value on mutual interaction. The more you engage with another user’s content — and they with yours — the greater the likelihood that you’ll both continue to see each other’s posts. This reciprocal engagement, which includes likes, comments, and shares, signals a strong connection and shared interest, prompting the algorithm to prioritize showing you more content from each other in your respective feeds.” 


For a summary of his insights, he and his team prepared this infographic.

algorithm insight

Targeting on LinkedIn also allows for precise segmentation and reaching out to key industry stakeholders. At Jennings Social Media & MarTech (JSMM), one of our success stories on LinkedIn involved implementing innovative strategies to target decision-makers across different businesses. 


In a targeted LinkedIn traffic ad campaign for a property tax consulting client aiming to reach business decision-makers, we achieved significant success with notable efficiency. The campaign, focusing on connection targeting, brand awareness, targeted messaging and traffic ads, resulted in more than 99,000 impressions and nearly 600 clicks. Impressively, the campaign maintained a cost-effective approach with a CPM of $15.04, considerably lower than LinkedIn’s average of $34 and a CPC of $2.58, well below the average benchmark of $5.40. This strategic use of LinkedIn ads effectively engaged a professional audience within budget constraints.

LinkedIn algorithm

Tailoring Strategies to the LinkedIn Algorithm

Aligning Content with the LinkedIn Algorithm for Strategic Success

LinkedIn advises that when strategizing for B2B content marketing, “the overarching objective of building trust and meaningful relationships should always be a factor.”


Understanding and aligning with the LinkedIn algorithm involves creating high-quality, relevant content that resonates with your target audience and encourages active engagement. By doing so, B2B marketers can significantly enhance their presence on the platform, driving greater visibility, engagement and, ultimately, marketing success.


For instance, if your goal is to establish thought leadership, focus on publishing in-depth articles, sharing industry analyses and contributing to trending professional discussions that showcase your expertise and insights.


Proof of the effectiveness of a strategic, data-driven approach on LinkedIn is the success story of one of our clients, Tensentric. Thanks to a meticulous marketing strategy that included A/B testing and a focus on data analytics, Tensentric witnessed a remarkable improvement in its LinkedIn performance. Within a few weeks, their connection acceptance rate skyrocketed from 5% to an impressive 25%. But the achievements didn’t stop there; throughout a three-month span, they also saw a 4.5% increase in followers, a 5.71% increase in organic impressions and a 71% increase in page views. These statistics underscore the power of building meaningful connections and engaging with your audience through a growth marketing approach tailored for LinkedIn.


Overcoming B2B Marketing Challenges with the LinkedIn Algorithm

Powered by its sophisticated algorithm, LinkedIn’s platform provides an unparalleled opportunity to address and overcome the common challenges faced in B2B marketing. Understanding and leveraging the algorithm to your advantage can significantly enhance your brand’s visibility and authority in the digital space.


As a summary, consider the following strategies to utilize the LinkedIn algorithm to your advantage:

  1. Engage and Grow Your Network: Regularly interact with content from your connections and engage in industry-relevant groups. 
  2. Publish Value-Driven Content: Focus on creating content that directly addresses your target audience’s needs, questions and interests. 
  3. Utilize LinkedIn Features: Use LinkedIn’s various features, such as LinkedIn Live, polls and articles, to diversify your content format and engage your audience differently. 
  4. Analyze Performance Data: Use LinkedIn analytics to track the performance of your posts and understand what resonates with your audience. 

Jennings Social Media & MarTech Can Help with Your LinkedIn Marketing

Understanding the nuances of the LinkedIn algorithm and effectively applying this knowledge can be challenging. Jennings Social Media & MarTech’s expertise in navigating the complexities of LinkedIn’s platform enables us to tailor strategies that resonate with your target audience, ensuring your content reaches, actively engages and grows your professional community.


If you’re looking for a digital marketing agency in Overland Park, KS, part of the Kansas City Metro area, Miami Beach, Florida or Orange County, California, JSMM can help you transform your LinkedIn presence, amplifying your brand’s voice and accelerating your path to success in the digital marketplace.


Contact us today to learn more about how we can elevate your LinkedIn marketing efforts and help you achieve your business goals.

Written by

Valerie Jennings, founder and CEO of Jennings Social Media & MarTech (JSMM), is a trailblazing entrepreneur who established her agency in 2003 at just 24 years old. A pioneer in leveraging social media for marketing since 2005, Valerie has transformed JSMM from a niche PR firm into a globally recognized digital marketing powerhouse. Her strategic foresight and commitment to innovation earned her accolades such as the Top Women in Media Honoree and Marketing Executive of the Year by the Stevie Awards. An advocate for AI in marketing, Valerie holds an AI Certification from Coursera, led by Andrew Ng of Stanford University.

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