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Dhanasekar MJ
Head - Digital Marketing | Growth Marketing | HBR Advisory Council | PMA Ambassador | Performance marketing | SEO Marketing
Dhanasekar MJ is a Digital Marketing Manager with over 8 years of experience, currently working as the Director of Growth Marketing at Honey Universal Digital Pvt Ltd.2 He specializes in SEO (Search Engine Optimization), SEM (Search Engine Marketing), and SMO (Social Media Optimization).2
On social media, Dhanasekar MJ is active on both LinkedIn and Twitter:
Social Media Presence
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LinkedIn: His LinkedIn profile uses the username "dhanasekarseo".2 In 2018, he reached a milestone of 10,000 connections on the platform.3
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Twitter: His Twitter handle is @dhanasekarseo, where he describes himself as a Director of Digital Marketing, Consultant, and Advisory council member for Harvard Business Review and PMM Alliance.4
Expertise and Interests
Dhanasekar MJ appears to be well-versed in various aspects of digital marketing:
- Search Engine Optimization (SEO)
- Search Engine Marketing (SEM)
- Social Media Optimization (SMO)
- Digital marketing strategies
- Product marketing
- SaaS (Software as a Service) marketing
He often shares insights and tips related to digital marketing on his social media profiles. For instance, he has tweeted about optimizing CTA (Call-to-Action) buttons for better conversions.1
Dhanasekar MJ's extensive experience and active presence in the digital marketing space suggest that he is a knowledgeable professional in his field, regularly engaging with industry trends and best practices.
Highlights
LinkedIn has named me a "Top Search Engine Marketing (SEM) Voice"
After months, I began sharing the content and am really late to the party:)
Thank you to everyone who's engaged with my posts on SEM for the past few months 🙏.
Even those of you reading without hitting the like button, your time is appreciated 😁
The advantages of the LinkedIn Top Voice badge are:
📍 Improves credibility, visibility, and networking. 📍 Improves personal branding.
Here's how I got it:.
My friend asked me to contribute to LinkedIn's collaborative digital marketing article.
On weekends, I submitted no more than three to four articles. I also understand that we don't have much control on getting this badge. The LinkedIn team makes the final decision on this. Anyway, I'm glad that I acquired this badge.
Have you participated in a LinkedIn collaborative article?
P.S. What is your opinion of the LinkedIn Top Voice badge?
#SEO #digitalmarketing #SEM #Searchengine #Google #bing #googleads #TopSEMVoice #SEMVoice #linkedin #Influencer
𝗚𝗼𝗼𝗴𝗹𝗲 𝗦𝗲𝗮𝗿𝗰𝗵’𝘀 𝗶𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗵𝗮𝘀 𝗹𝗲𝗮𝗸𝗲𝗱 𝗮𝗻𝗱 𝗯𝗲𝗲𝗻 𝗮𝗻𝗮𝗹𝘆𝘇𝗲𝗱 𝗯𝘆 Michael King & Rand Fishkin.
Many of these have been denied to be used by 𝗚𝗼𝗼𝗴𝗹𝗲!
Key takeaways for marketers who care about Organic Search Traffic • 𝗖𝗹𝗶𝗰𝗸-𝗕𝗮𝘀𝗲𝗱 𝗠𝗲𝗮𝘀𝘂𝗿𝗲𝗺𝗲𝗻𝘁𝘀: Used as signals to drive more successful clicks. • 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗖𝗹𝗶𝗰𝗸 𝗗𝗮𝘁𝗮: Stores the longest clicks during a session. • 𝗡𝗮𝘃𝗕𝗼𝗼𝘀𝘁 𝗮𝘀 𝗮 𝗦𝘁𝗿𝗼𝗻𝗴 𝗥𝗮𝗻𝗸𝗶𝗻𝗴 𝗦𝗶𝗴𝗻𝗮𝗹: Identified as one of Google's strongest ranking signals.
- 𝗖𝗵𝗿𝗼𝗺𝗲 𝗕𝗿𝗼𝘄𝘀𝗲𝗿 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Google uses data from Chrome users to assess the popularity and relevance of web pages. High engagement rates from Chrome users can significantly boost a site’s search rankings. 𝗖𝗼𝗻𝘁𝗲𝗻𝘁 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗛𝘂𝗺𝗮𝗻 𝗥𝗮𝘁𝗲𝗿𝘀: The EWOK platform allows human quality raters to provide feedback directly integrated into Google’s search algorithms. Data from human raters influences various quality signals, impacting how content is ranked and displayed in search results. • 𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗖𝗹𝗶𝗰𝗸𝘀: Successful clicks using a broader set of queries earn more link diversity. • 𝗔𝘂𝘁𝗵𝗼𝗿𝘀𝗵𝗶𝗽 𝗮𝘀 𝗮 𝗦𝗶𝗴𝗻𝗮𝗹: Authorship markup is now visible in the documentation. • 𝗟𝗶𝗻𝗸 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: Fresh and high-quality pages are considered more valuable for link-building. • 𝗟𝗶𝗻𝗸 𝗦𝗽𝗮𝗺 𝗩𝗲𝗹𝗼𝗰𝗶𝘁𝘆 𝗦𝗶𝗴𝗻𝗮𝗹𝘀: Measures used to identify spikes in spam anchor text. • 𝗣𝗮𝗴𝗲 𝗖𝗵𝗮𝗻𝗴𝗲 𝗛𝗶𝘀𝘁𝗼𝗿𝘆: Stores all changes seen for a page. • 𝗛𝗼𝗺𝗲𝗽𝗮𝗴𝗲 𝗣𝗮𝗴𝗲𝗥𝗮𝗻𝗸 𝗮𝗻𝗱 𝗧𝗿𝘂𝘀𝘁: Google decides link value based on how much they trust the homepage. • 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗧𝗼𝗸𝗲𝗻 𝗖𝗼𝘂𝗻𝘁𝗶𝗻𝗴: counts the number of tokens and the ratio of total words to unique tokens in the document body. • 𝗢𝗿𝗶𝗴𝗶𝗻𝗮𝗹𝗶𝘁𝘆 𝗼𝗳 𝗖𝗼𝗻𝘁𝗲𝗻𝘁: Scores short content for originality using the OriginalContentScore. • 𝗣𝗮𝗴𝗲 𝗧𝗶𝘁𝗹𝗲𝘀 == 𝗤𝘂𝗲𝗿𝗶𝗲𝘀: Compares page titles against queries using a titlematchScore. • 𝗗𝗮𝘁𝗲 𝗮𝗻𝗱 𝗔𝗴𝗲: Associates dates with pages for freshness. • 𝗦𝗶𝘁𝗲 𝗩𝗲𝗿𝘀𝘂𝘀 𝗣𝗮𝗴𝗲: Measures how on-topic a page is by comparing the data about the page to what it knows about the site. • 𝗦𝗺𝗮𝗹𝗹 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹 𝗦𝗶𝘁𝗲𝘀: Google has a flag for "small personal sites."
A must read for SEOs, check it out: Michael King wrote a mind-blowing article after getting his hands on leaked internal Google docs - https://lnkd.in/grP6_mBK Rand Fishkin's blog for another perspective - https://lnkd.in/gmYrgh59
#SEO #Digitalmarketing #Google #Search #algorithm
