Write For Us: Linked In Guest Posts Accepted

Are you looking to publish your LinkedIn marketing wisdom to an engaged readership? Possess an insightful topic, marketing advice, or a distinctive case study that you believe our readers would find compelling? Inform us, and you might just be our upcoming guest writer! We are continually in pursuit of adept authors in the LinkedIn marketing realm.

 

How Did You Discover Us?

If your expertise aligns with ours in mastering organic search engine optimization strategies, you grasp the significance of guest blogging on other pertinent, authoritative websites. This is precisely the opportunity we present – a stage for your marketing insights. A venue to share your marketing-focused articles, whether on your own behalf or for your clients.

You possibly Googled one of the following:
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If so, congratulations, you’re in the right place. Be sure to thoroughly review the following contributor guidelines and reach out to us to submit your first post.

Criteria for Accepting a LinkedIn Guest Post

Our team is constantly in search of distinctive, pertinent, and well-crafted submissions – original content only, please avoid submissions previously published elsewhere. We prefer submissions that exceed 1000 words, are meticulously proofread for spelling and grammar accuracy, and can successfully undergo a Copyscape examination.

The most effective contributions will offer practical advice, current trends, and comprehensive analysis. Any assertions made must be supported with credible statistics and/or research studies.

Only after your contribution is featured on our platform are you allowed to republish it on other sites. In such cases, it’s mandatory to acknowledge Linkedin Daily as the first publisher and include a hyperlink to the original post on our website.

Please note that all submissions may undergo minor adjustments by our editorial team.

Submissions can include several links to authoritative and relevant websites for support. However, you’re limited to one (1) link within the article body that directs to your or your client’s website. We strictly prohibit AFFILIATE links.

For the article’s featured image, we will supply an appropriate stock photo. Any additional images or graphics you wish to include must be of high quality and at least 800 pixels in width.

 

Guest Post Topics We Cover

  • Content Marketing
  • Digital Marketing
  • Social Media Marketing
  • Pay-Per-Click Marketing
  • Email Marketing
  • Video Marketing
  • Personal Development Marketing
  • Financial Marketing

At Linkedin Daily, we’re interested in small/medium business marketing related posts for the most part. We specialize in articles in the following industries:

  • Legal Marketing Guest Post Articles
  • Financial Marketing Guest Post Articles
  • Insurance Marketing Guest Post Articles
  • Real Estate Marketing Guest Post Articles
  • Non-Profit Marketing Guest Post Articles
  • Healthcare Marketing Guest Post Articles
  • Tech Marketing Guest Post Articles
  • Web Design & Development Marketing Guest Post Articles
  • Digital Marketing Guest Post Articles
  • General Business Marketing Guest Post Articles

As you can see, we do accept articles across a very a big spectrum of industries. If you’re not sure whether or not your article is a fit for our platform, please feel free to reach out with a brief overview. Normally we’ll accept any relevant well written articles touching upon the above industries and popular sub-niches such as:

And much more…

Please make sure to follow all directions and submit your articles as a Microsoft Word document or Google Doc link using the form on our Contact Page. All articles to be submitted to our contact page CLICK HERE FOR CONTACT PAGE

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Pain Points with Linkedin

LinkedIn, as a leading professional networking platform, faces several challenges that users should be aware of, particularly concerning privacy, algorithmic bias, and job matching effectiveness. Here are some key issues:

Privacy Concerns

LinkedIn has been criticized for various privacy issues, which are common in social media platforms but particularly concerning given the professional nature of LinkedIn:

  • Target for Threat Actors: LinkedIn is a ‘target-rich’ environment due to its use by many senior business people and Fortune 500 companies. This makes it attractive for threat actors who may use the platform to gather sensitive information for malicious purposes.
  • Fraud and Phishing: Job seekers on LinkedIn are often targets for fraud and phishing attacks, as cybercriminals use social engineering tactics to exploit personal information. Citation
  • Data Breaches: LinkedIn has experienced significant data breaches in the past, where user information was exposed and potentially misused by hackers.
  • Data Sharing: As LinkedIn is owned by Microsoft, there are concerns about data being shared across various platforms without users’ explicit consent.

Algorithmic Bias

Algorithmic bias on LinkedIn can affect how content and profiles are displayed, potentially leading to unequal visibility and opportunities for users. This bias can stem from the algorithms prioritizing certain types of content or profiles based on incomplete or skewed data, which can disadvantage certain groups of users.

Ineffective Job Matching

Despite being a platform designed for professional networking and job searching, LinkedIn’s job matching can sometimes be ineffective. Users often report receiving job recommendations that do not align with their skills or career interests, which can be frustrating and time-consuming.

Common User Mistakes

Users often make mistakes that can hinder their LinkedIn experience:

  • Incomplete Profiles: Many users fail to complete their LinkedIn profiles fully. A comprehensive profile is crucial as it serves as a digital resume. Including work experience, education, skills, and certifications is essential for making the most of LinkedIn’s networking and job search capabilities.

Addressing these pain points involves both individual actions—such as improving profile completeness and managing privacy settings—and broader platform changes to enhance security, reduce bias, and improve job matching algorithms.