Comments on: Twitter Engagement Unmasked: A Study of More than 4M Tweets

By: David

David — Mon, 11 Sep 2017 02:49:05 +0000

This is great post, clearly define statistics like a crystal ball. Thank you !

By: Arthur Esvael

Arthur Esvael — Mon, 05 Jun 2017 19:49:13 +0000

Great post! Some interesting results in there. Surely the time of day results depends on what industry you are in though, there will be quite a few industries when posting at the right time of day as a big impact. I’m thinking deals websites here as there customers aren’t going to be as active on social media during the day as they will be during the evening.

By: fazi

fazi — Sat, 15 Apr 2017 14:14:57 +0000

Thanks Perficient Digital Team for such an informational post…… happy for the article 🙂

By: Fox

Fox — Wed, 15 Feb 2017 01:42:07 +0000

The idea is that perhaps people are more engaged on weekends. Could be totally false.

By: Brett Cairns

Brett Cairns — Thu, 13 Oct 2016 21:42:58 +0000

I do not yet fully understand how to best use twitter but I did try to add pictures and hash tags and the engagement did increase slightly. Clearly there is much more to learn about using this social media platform especially on the business side. An article on how to best use it for business purposes would be enlightening

By: Mark Traphagen

Mark Traphagen — Fri, 12 Feb 2016 19:48:12 +0000

In reply to Russ Jones. Thanks, Russ. Those are all things we want to look at more deeply in the next iteration of this study.

By: Russ Jones

Russ Jones — Fri, 12 Feb 2016 13:49:40 +0000

Fantastic work! I do wonder about confounding factors. For example, did you control for presence of images when looking at hashtags or vice versa? Is it possible that simply *better* tweet content is likely to be accompanied by hashtags or images?
Sounds like it is time to do experiments! Awesome work as always.

By: my PR Site

my PR Site — Tue, 01 Dec 2015 20:59:37 +0000

What an amazing article! We spend so much time working with our clients twitter accounts, it’s always so cool to see these types of reports that make actionable steps to be taken from raw data.
Thanks again!

By: AndyMaddocks

AndyMaddocks — Thu, 08 Oct 2015 21:19:17 +0000

Having developed proprietary tools for social analytics and social campaign optimization methods using large scale data collection, this is one of the best recent public studies presented in a non-juried publication format that I have seen.

By: Karl Bantleman

Karl Bantleman — Wed, 28 Jan 2015 09:34:10 +0000

In reply to Mark Traphagen. Ah ok, very good point then. People often ignore the "off" hours and I think that's where the social media scheduling tools comes into play.

By: Blair Kuhnen

Blair Kuhnen — Tue, 27 Jan 2015 20:32:08 +0000

Did you look at Day of Week? Would be interesting to see. The idea is that perhaps people are more engaged on weekends. Could be totally false.

By: Mark Traphagen

Mark Traphagen — Tue, 27 Jan 2015 17:34:22 +0000

In reply to Karl Bantleman. Glad you enjoyed the post, Karl. Yes, as with any big data study, "your mileage may vary" as they say. These results are averaged across a great many accounts of all types. However, keep in mind that unlike most other studies, what we're showing here in "time of day" is not the average number of retweets you can get at each hour, but the chances (or probability) of getting retweeted at a given time. So what we're really revealing here is that while there certainly may be times of day when you will get more RTs (because more of your followers are active), you shouldn't ignore the off hours when your chances of getting at least one RT may be higher. Make sense?