I had written about my experiment on LinkedIN about distribution. 1 week in and when I look at my analytics, I could see I am short of 65% of hitting my weekly goal. (Goal divided by 12 weeks on the 90 day experiment).
I knew I needed a quick course correction. In this pace, I wouldn’t be able to achieve even half of what the target was. That is not acceptable. Week 1 of 12 finished today.
Stats update
Impressions – 1000
Engagement – 13
Rolling 90 day Profile view as of 5th April 2026 – 102. An improvement by 10 profile views.
What course correction am I implementing?
Starting to use my old photographs, to see, if those photographs can grab people’s attention and read what I am writing. I will experiment with a set of data posts in this week (3) and (4)stories with questions at the end. Hopefully that increases the engagement.
Also, be a little mindful of noticing what kind of posts gather the most amount of engagement. Study a little about the LinkedIn algorithm.
Lets see what changes we see in the result after a week.
That’s how quickly you need to decide what tactical change needs to be made, if you are not seeing results moving towards your desired direction. As you could clearly see in my above experiment, I know there are too many factors at play here, but still I would need to measure basis on something! If I am optimizing for those data metrics, i.e. impressions, engagement, profile views, I had to optimize for the middle layer.
That is engagement. For my experiment it is engagement. Although the goal is to increase profile views, I can only get that increased if I start getting help from the algorithm. Once the algorithm pushes my content over to others, because my content has high engagement rate.
The next obvious question is, ‘How do I make the algorithm happy?’
Figure out ways to increase engagement on the platform. The longer the duration someone stays on the platform, the longer time companies will have to show ads. That’s what the platform wants. By getting engagement on content we post, we help the algorithm achieve its goal. More time on platform. That’s why I am optimizing for the middle of the funnel engagement layer.
I can make a dedicated post of how to choose your optimum funnel stage as your north star depending upon the type of campaign you are running. If you are curios why, let me know.
For you, it can be bookings, or, it may be a brand marketing campaign and you are measuring only top of funnel metrics. Basis on what you are optimizing for, you should be able to do small tactical changes in your strategy (like I explained I am doing in my case).
In marketing there’s no right or wrong. Just various experiments. The outliers which become successful will be what you may be remembered for. The rest will be failed attempts.