[FAQ]

I know how to find my video stats on LinkedIn, and I can see the basic metrics like views and completion rate. My question is, what’s the best way to actually use this data to make better videos in the future? How do you translate these numbers into actionable changes in your content strategy?

I’m looking for a process to analyze the data and figure out what’s working and what’s not. Thanks for any insights!

[Jeff Bullas]

That is an excellent question.

Quick Answer: You use LinkedIn’s video analytics by focusing on two key reports: the retention graph to see what content is engaging, and the viewer demographics to see who is watching. This tells you what to make more of and for whom.

Looking at your analytics is not just about seeing how a video performed; it is about gathering intelligence to make your next video even better. Here is how to turn that data into action.

First, you need to analyse the viewer retention graph. This is your most direct feedback. Look for where the graph has a significant dip. Go to that exact timestamp in your video and see what was happening. Were you rambling, or was it a boring visual? That is what you should avoid in future videos. Then, look for any flat spots or small spikes where people re-watched a section. That is your most valuable content; make more of it.

Second, you must study the viewer demographics. LinkedIn provides powerful data on the job titles, companies, industries, and locations of your viewers. If the people watching your videos are your ideal target audience, you know your content is resonating. If they are not, you may need to adjust your topics or your messaging to better attract the right professionals.

Third, you should look at the overall performance of different video topics and formats. Go through all your past videos. Which topics consistently get the highest completion rates? Which formats, like interviews, tutorials, or short tips, perform best? This data should directly inform your content calendar.

And fourth, use the insights to optimise your hooks. Check your analytics to see the ’10-second view’ percentage. If this number is low, it is a clear sign that the first few seconds of your videos are not strong enough to stop the scroll.

In summary, you should use the retention graph to refine your video’s structure, the demographics to refine your audience targeting, and the overall performance data to refine your topic selection. It is about turning data into a repeatable creative process.

Cheers,

Jeff

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