Real Numbers, Earnings, and a Data-Driven Growth Strategy for Medium Writers
I kicked off my journey as a writer focused on data science and AI on Medium in May 2024. Fast forward six months, and I’ve celebrated a significant achievement — reaching 3,000 followers! Let me tell you, I’m incredibly proud of how far I’ve come.
In this article, I’ll dive into how my writing journey started, the topics I’ve covered, and the valuable lessons I’ve gleaned along the way. As a data scientist, I have a knack for analyzing data, so I’ve compiled a dataset of my Medium statistics, including article views, reads, claps, and earnings. Let’s break down my Medium experience using this data and explore my data-driven writing strategies.
How It All Began
My writing journey predates my time on Medium. I’ve been nurturing my data science portfolio since 2018, which began when I started my first full-time job. I regularly post articles there and share them on LinkedIn to connect with friends and colleagues in the data field. Earlier this year, one of my articles discussing my experiments with custom GPTs garnered almost 10,000 impressions on LinkedIn. Not too shabby, right?
The initial spark that led me to start writing on Medium was my desire to reach a broader audience and enhance my engagement with the data science community. Medium’s platform provides ample opportunities to share insights, connect with like-minded individuals, and ultimately build a following that appreciates quality content.
Crafting Quality Content
So, what have I been writing about? Primarily, I delve into data science techniques, artificial intelligence applications, and insights on emerging trends. Each article is crafted with a clear focus on providing value to readers. Here are some effective strategies I’ve applied:
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Keyword Research: I target relevant keywords like "data science," "AI," and "machine learning" to reach individuals interested in these fields.
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Engaging Tone: I strive for a friendly and conversational tone. My goal is to keep readers engaged as if we’re chatting over coffee.
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Personal Anecdotes: Sharing personal experiences helps in relating to my audience. For example, I often discuss challenges I’ve faced in my data science career and the lessons learned from them.
- Unique Insights: By giving my expert opinion and offering fresh perspectives, I aim to stand out in a crowded space.
Analyzing My Growth
Now, let’s get to the fun part — the data! Tracking my Medium statistics has rewarded me with insights into what works and what doesn’t. Here’s a glimpse:
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Article Views: Monitoring views helps me gauge which topics resonate with my audience.
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Reads and Claps: These metrics are fantastic indicators of engagement. I’ve noticed that more relatable and practical content tends to garner higher engagement.
- Earnings: Understanding how my earnings fluctuate with different articles helps refine my strategy. Striking the right balance between quality and audience interest ensures continuous growth.
Conclusion: A Journey Worth Sharing
My adventure on Medium has been both enriching and rewarding. By focusing on data-driven strategies, I’ve been able to grow my presence and engage with a community that loves discussing data science and AI. I encourage aspiring writers to harness the power of data and storytelling in their writing.
The AI Buzz Hub team is excited to see where these breakthroughs take us. Want to stay in the loop on all things AI? Subscribe to our newsletter or share this article with your fellow enthusiasts.
