The TRULY Most Lucrative Topics on Steemit (Proven by Data Analysis)

in #steemit7 years ago

I probably shouldn’t share this and keep it secret until I can take all the advantage from it,

but I have learned so much from so many of you that the least I can do is return the favor.

Most people believe that the most lucrative topics are “steemit”, “life”, “photography”, “art” because they often seem them at the top on the right column of the Steemit site.

However, these are NOT the most lucrative categories.

They do receive, as a category, the highest payouts, but

because they are so popular, they also have a larger amount of posts,

making each most less lucrative on average.

To find out which category is IN FACT the most lucrative for individual posts. I gathered all the data from the tags page and ran some simple formulas.

HIGHEST PAYOUT PER POST

First I divided total payouts by total posts for each category.

This showed me how much payout each post was receiving on average.

As you can see, “steemit” falls all the way to the 48th place, very far from #1.

The topic of “life”, which is thought to be the 2nd best topic to write about, is actually ranking as #95. “Photography” which is thought as #3, is actually ranking at #124.

Things are not what they seem, you got to dive deeper to find the truth. Here is the table showing how “topics” TRULY rank in terms of payout per post.

payout.png

MOST COMMENTS PER POST

The second thing I did was to analyze which topics are getting the most comments per post.

Once again, the “Steemit” topic ranked way lower than expected at #90, receiving less than 1 comment per post on average.

“Life” was found all the way at #137, with less than half a comment per post.

The most rational use of this information would be to use it to write about topics that average the most comments since comments lead to more comments, more upvotes, more followers and more monetary gains for everyone.

Here is all the data for your delight:

comments 2.png

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Literally jaw dropping, by seeing this post I can imagine the effort that you put just to compile such data. This is all for the minnows like me. It has been 1 week of struggling to find topics to post and this is the answer through you from the above! Thank you so much and more power to you @brunotreves.