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How to time your Sphinn Submissions Perfectly to Hit Front Page

As you guys have probably understood, Kelvin and I are seriously addicted to social media, and Sphinn in particular. I am so obsessed with making the front page, (please fuel my addiction) that I have captured data every hour for the past two weeks in order to compile a good, up to date, illustrated, informative analysis of Sphinn traffic and posting times. They should help understand how Sphinn is used, and when to post in order to give maximum exposure to your story. Kelvin also recently wrote some great recommendations for Sphinn users, and I have seen a few Sphinn analyses already.

 

Sphinn is an SEM orientated social media network which allows users to publish links and comments about blog posts and news stories. I have recently noticed that Sphinners are not posting their own stories as much as they used to anymore; the shift occured after a discussion topic mentioned that Digg users who submitted their own content were frowned upon, and their story could end up being burried.

This means that posts are generally submitted as and when users read news stories (as opposed to when they are finished writing their own blog),which has an impact on the way they interact with content: instead of actively promoting a post that will drive traffic to their website, Sphinn users are actively promoting information that is relevant to their industry and community, ultimately giving the entire network more value and authority. Social Media is about engaging and discussing, not pushing advertising onto your colleagues!

  • 1. Posts Per Hour – Whats your PPH ratio?

In order to understand how a story gets maximum exposure on Sphinn, I have compiled data so Kelvin and I could analyse and discuss the “Sphinn-metrics”. This data is pretty clear, it details how many posts per hour, for each hour of the working day. (Figures are averages, as data is from 7-10 days).

The largest amount of stories are published between 11and 12 (just before a lunch break) and between 3 and 4. This means that in order to get a maximum amount of users online, but a minimum amount of them posting stories ad bumping yours down under to fold or on to the second page, you should post “on a slope” meaning just after the peak period. That way you benefit from the traffic as well as the reducing number of submited posts.

  • 2. Intervals between Posts – IBP and display

In order to give your story maximum exposure, you want to find out how long stories stay at the top of the upcoming page, and how long they take to go under the fold. If I have several stories to publish, I choose not to do it in a row as I think that has a negative effect on your post. Instead, every time I am gone under the fold, I will post my next news story.

Here,the smaller the interval between two posts, the less exposure your post will get. This said, there are more users online at these times given that as we said earlier, Sphinners now post other people’s stories instead of their own and you can see this is done during or after lunchtime.

Stories posted between 9-10 get around 32 minutes exposure in the first spot before another post replaces them. This will increase slightly until 11-12, which is when I assume morning bloggers have finished their posts, and 10am starters finish purging their rss reader.

The 1-2 peak is therefore a great time to publish your story, as most people are off the lunch, but will probably check Sphinn on their return. You can also see that 2-4 is a very busy time, with another wave of blogs reducing the intervals between posts to an average of 5 minutes (I have seen 8 posts in 9 minutes before..)

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24 Comments
  • Caroline Middlebrook on October 11, 2007

    What time zone does this data apply to? I’m from the UK so I’m not familiar with default US times.

  • Caroline Middlebrook on October 11, 2007

    What time zone does this data apply to? I’m from the UK so I’m not familiar with default US times.

  • Eloi on October 11, 2007

    I forgot to mention in the blog that the data captured is relative to UK time. There you go, done!

  • Eloi on October 11, 2007

    I forgot to mention in the blog that the data captured is relative to UK time. There you go, done!

  • Zak Nicola on October 11, 2007

    I’ve always felt that there are better times to post and submit than others. Nice report on your findings.

  • Zak Nicola on October 11, 2007

    I’ve always felt that there are better times to post and submit than others. Nice report on your findings.

  • Rory on October 12, 2007

    When you talk about best time, what is your time zone reference.

  • Rory on October 12, 2007

    When you talk about best time, what is your time zone reference.

  • Jeff Quipp on October 12, 2007

    Excellent analysis! I’ll definitely be testing it out.

  • Jeff Quipp on October 12, 2007

    Excellent analysis! I’ll definitely be testing it out.

  • Geoff on October 12, 2007

    You guys are so funny. This comes the day after you do a post about spending more time writing and less time reading. I see Sphinn has become a real addiction.

    Great post, though, I’ve been intuiting the same “ideal times” myself. Nice to have some numbers to back it up.

    Love what you guys do.

  • Geoff on October 12, 2007

    You guys are so funny. This comes the day after you do a post about spending more time writing and less time reading. I see Sphinn has become a real addiction.

    Great post, though, I’ve been intuiting the same “ideal times” myself. Nice to have some numbers to back it up.

    Love what you guys do.

  • Kelvin on October 12, 2007

    Apparently according to Eloi his time researching was actually writing in a way because it contributed to the blog!

    Still a great piece and like you say Geoff backs up a lot of general impressions I’d got.

  • Kelvin on October 12, 2007

    Apparently according to Eloi his time researching was actually writing in a way because it contributed to the blog!

    Still a great piece and like you say Geoff backs up a lot of general impressions I’d got.

  • Eloi on October 12, 2007

    Thanks for the kind words everyone!

  • Eloi on October 12, 2007

    Thanks for the kind words everyone!

  • Dan Thies on October 12, 2007

    So now that we have a map of posts per hour, we just need a map of Sphinns per hour, to determine the optimal timing. The best time to actually Sphinn something might be when the most people are looking, not when the fewest people are posting.

  • Dan Thies on October 12, 2007

    So now that we have a map of posts per hour, we just need a map of Sphinns per hour, to determine the optimal timing. The best time to actually Sphinn something might be when the most people are looking, not when the fewest people are posting.

  • Kelvin on October 12, 2007

    Sounds like we need an API!

  • Kelvin on October 12, 2007

    Sounds like we need an API!

  • Dev Basu on October 12, 2007

    Great Analysis! I’ve been waiting for a detailed sphinn-analytics post for a while now :) — Dev

  • Dev Basu on October 12, 2007

    Great Analysis! I’ve been waiting for a detailed sphinn-analytics post for a while now :) — Dev

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