MonthĬompare the above 6-month average with the average during the February experiment and you’ll see that there was a significant drop in all engagement stats: Month ![]() Here’s how my engagement stats for the February 2021 experiment compared with my averages for the previous 6 months. It’s hard to conclude anything from a small dataset of only 24 posts, but the view count measures over 3 hours and 7 days seemed to correlate well: in other words, 3-hour views were a good predictor of 7-day views.ĭuring this experiment, my 7-day view counts were on average 5.1× higher than the 3-hour view counts, and the variance was low (16 of the 24 posts were in the 4× and 6× range). I can’t see anything obvious to explain what happened in these cases. Posts 6, 7, 12, 18 and 20 had more comments than expected.Posts 3, 12 and 20 had more reactions than expected.The 3-hour stats for each post are a pretty good indicator of the 7-day performance. Here’s how the 3-hour stats (orange) compare with the 7-day stats (green). TextExpander – save time with your commonly used text snippets ![]() My personal posts are outperforming my work ones – now what?Ģ4. Good-looking personal branding coachesĢ3. Should you add captions to every LinkedIn video?Ģ1. LinkedIn audio pronunciation how-to & 25+ examplesġ9. Audio pronunciation examples needed for my blogġ8. ![]() Your LinkedIn posts are mini blog postsġ7. LinkedIn data analysis chat on Clubhouseġ4. LinkedIn scheduling experiment results for Jan 2021ġ3. How I handle some LinkedIn invitationsġ2. Use a secret word in your About statementĠ7. See my article that explains why sharing posts on LinkedIn isn’t effective. To save space, I’m not including data about shares, as the numbers are always low and never particularly interesting. Here are the posts made during February 2021, showing both the 3-hour stats and the 7-day stats for each piece of content. ![]() I could then compare this with the “final” stats that I gathered a full 7 days later, to look for any interesting correlations. I made a note of the time of publication of each post during February 2021 so that I could check the engagement stats after exactly 3 hours. This would involve deliberately avoiding replying to comments for the first 3 hours after each of my posts were published.Īs I stated in the January post to announce my plan to do this experiment: I wanted to test whether early responses to engagement on posts really mattered, so I decided to do an experiment in February 2021. This is good news if true because a widening of the engagement window would help to dilute the potency of engagement pods, which I rail against in my LinkedIn course. Recent speculation about changes to the LinkedIn algorithm seems to suggest that this window of opportunity – the golden hour – has been extended to be 2 or 3 hours. People have previously mentioned there being a “golden hour” directly after a post’s publication during which time comments should be left – both by your followers and by you in replying. It’s often said that you need to be around to reply to early engagement on your LinkedIn posts if you want those posts to have maximum visibility in the feed. My February 2021 experiment tested whether delaying replies to comments for the first 3 hours after publishing my LinkedIn posts would have a negative impact on the visibility and engagement on those posts.
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