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Unlocking the Power of Tags: Insights from 1,500+ Tag Analysis

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Understanding the Importance of Tags

Recently, I shared an article examining over 1,570 tags to explore whether utilizing low-competition tags can enhance readership. But the question remains: Are tags really significant? This article aims to address this inquiry.

Visual Representation of Tags

To delve deeper, I created a visual representation of my articles alongside their corresponding tags. The green dots represent my 237 articles, while the white dots denote the 179 unique tags I've employed. The size of the green dots indicates each article's earnings.

Tag analysis graph showing articles and their earnings

Zooming into Individual Articles

To better comprehend this, let's examine one of my articles titled "As an AI Student: I Am Terrified of AI." In this piece, I utilized five specific tags: Artificial Intelligence, Technology, AI, Ethics, and Science.

Tags used in the article about AI

Identifying Frequently Used Tags

The graph allows us to identify my most commonly used tags by observing the number of connections to each tag (represented by white dots).

Chart displaying frequently used tags

Analysis of Tag Value

For instance, the tag "Digital Life" stands out as a low-competition, high-value tag with a substantial follower count but limited stories, while "Medium Partner Program" is characterized by high competition. My hypothesis is that leveraging low-competition tags can positively influence earnings. We can evaluate the value of a tag using the formula:

VALUE = FOLLOWER / STORIES

Applying this formula yields the following results:

  • Digital Life: 338,000 Followers / 5,800 Stories = 58.28
  • Medium Partner Program: 3,800 Followers / 9,200 Stories = 0.41

If my theory holds true, the former tag is significantly more advantageous.

Testing the Hypothesis

Next, we will examine the correlation between a tag's value and both the readership and earnings of articles. Essentially, we are investigating whether low-competition tags lead to increased engagement and revenue.

In the first analysis, we graph the number of reads for each article against the average tag values.

Correlation graph between tag value and reads

The upward trend suggests that low-competition tags indeed result in higher readership. Does this trend extend to earnings? We will create a similar graph, this time placing earnings on the y-axis.

Correlation graph between tag value and earnings

Once again, we observe a positive trend, indicating that low-competition tags also enhance earnings.

Conclusion of Findings

In summary, this article illustrates how it's feasible to create a graph showcasing all our articles and their associated tags. The analysis supports the idea that using low-competition tags can lead to increased earnings, although this conclusion is based solely on my data. If you're interested in discovering more low-competition tags, I recommend checking out the following articles:

  1. I Created a Graph of 1,570 Tags: Discover the Top Tag on Medium.

    A comprehensive tag analysis, highlighting the best low-competition tags available on Medium.

  2. 20 High-Value Tags Uncovered.

    If you're struggling to find effective tags, explore this list of 20 valuable tags alongside 20 ineffective ones.

In this video titled "YouTube Tags Don't Work...DO THIS Instead To Rank In Search!", discover alternative strategies to optimize your tag usage.

The second video, "What NOBODY Will Tell You About YouTube Tags (+ How to RANK YOUR VIDEOS Higher with YouTube SEO)," reveals essential insights for maximizing your video performance.

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