All articles
Cases
A show-case analysis of a large YouTube channel

I love YT Analytics. It tells stories. About content, about the channel, about the viewers, about the channel's author, and even about the global economy.

Content is a product. The efficiency of the channel's economy lies in how well a "unit" of effort in content production converts into the desired result - views, dollars, etc.

At the core of this economy is the viewer. If we understand our viewer, it means we can satisfy them, and that means everything is fine 🔼 And vice versa 🔽

This is the key task of channel development - to produce content that viewers want to return to, which means the algorithm will recommend it.

YouTube allows you to look at the viewer's journey from different angles. Let's look at the screenshot attached. For privacy reasons, the channel name will remain unknown.

▶️ In the 30 day period (April 5-May 5) the channel received:

  • 26,188,812 views, which generated
  • 4,971,865 unique viewers, of which
  • 4,183,379 are returning viewers (those who have watched the channel's content before) and
  • 727,096 are new viewers (who have not watched the channel's content before this period), of which
  • 36,873 subscribed to the channel, while at the same time
  • 31,833 unsubscribed, which in turn resulted in
  • 5,040 - net subscriber growth on the channel during this period

These are the facts. The most interesting and useful part is their interpretation. This is where stories and opportunities for development are born.

Source: YouTbe Analytics

⚠️ What conclusions can be drawn?

Obvious ones:
  1. Average number of views per viewer = 26,188,812 views / 4,971,865 unique viewers = 5.3. How many channels do you watch 5 times a month?

I’m sure not many. This is a very good indicator. It is an example of an exceptionally loyal audience that trusts.

So how can we convert this trust into even better results?
  1. The share of new viewers = 727,096 / 4,971,865 = 15%. So despite the channel's existing popularity, there is still room for organic growth, and it is succeeding quite intensively.

Are we using our potential to the fullest? How can we verify this?
  1. The ratio of subscriptions to unsubscriptions = 36,873 to 31,833. Despite the positive net of 5,040, this is a threatening situation in the long term.

Why is this happening? What needs to be done today to change this situation?

Data leads to conclusions, which generate questions, which convert into solutions, creating new opportunities.

I love YouTube Analytics!
Anyone like that?
June 3, 2024

Comments

Thank you for your comment! Comment will be up on the site soon
Упс, щось пішло не так