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Show GH: I analyzed over 2,400 front-page GrowthHackers posts to gain insight about the ecosystem. This is that insight.
Read the entire analysis here
This is an amazing analysis!
Biggest takeaway for me was:
"63% of the GrowthHackers.com posts from Jan 5th to July 21 came from just 11 authors representing just 1.6% of the users that submitted posts that made it to the front page (650)."
Need to work on getting more people to contribute rather than just consume and make it easier to find good content from new contributors to surface new content sources.
Prior to March 1st it seemed that even posts that had less than 4 votes still made it to the front page. After March 1st it appears they did not. It looked like post authors began to diversify dramatically more recently.
Yep, we changed the front page algorithm on 3/1 to fight spam attacks with people submitting a ton of low quality content that would overwhelm the front page and kill engagement and visits.
Wow this is great. Still think @AnujAdhiya is really a robot, what a machine. Thanks for the insights.
Hah! I've been chuckling all day over this comment.
Can't wait to dive into this!
Great post by the team at Ambassador. Web scraping and data analysis are a great way to learn about common trends around the web. @francoismathieu did a similar analysis of GrowthHackers to find some common themes. He also used KimonoLabs to create the API. Here's the link to the original post: http://hub.francoismathieu.ca/h/i/16222907-hacking-into-growthhackers-analyzing-6-000-links/
and the GH link: http://www.growthhackers.com/hacking-into-growthhackers-com/
Wow, that's really cool. I didn't realize that @francoismathieu had already did a similar analysis. I wish I had thought to analyze the most common sources for content. I can't believe I missed that.
Nice graphs. Good idea to package the raw data as an offer, kudos.
Great analysis. Thanks! Loved reading this.
Your analysis regarding the "Must Read" category makes sense but you will notice that "Must Read" is not a category option when publishing content here.
In fact, the reason why the analysis showed such great numbers for the MR category is because (I believe) only posts that hit a certain threshold are tagged with that category. Not sure if it is manual or automatic but the user does not get to decide. Notice how only posts with 20+ upvotes are in that category.
Also, did you do a day / time analysis? I think you would find that this submission would have received many more upvotes if posted here on a Mon to Weds.
Thanks for the feedback @benhoffman! re: "Must Read" I thought that was the case but wasn't certain so I just hopped over it.
I did not do analysis by day, however that wouldn't be very difficult since I extracted the post date.
Very insightful @jordanskole!
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