How would you determine the success of the blue check marks that denote Verified Users on Instagram?
- Gerard Kolan
Instagram has a high level goal of increasing Revenue (total and ARPU), Engagement (posting, sharing, commenting, liking) and DAUs/WAUs
With that said, I would define the goal of Blue check marks to contribute to one or more of the above metrics. The one that makes the most sense for me is engagement.
State the goal – As I understand, one of the most important goals for the Blue Check Mark (BCM) is to increase engagement for the users with the BCM but also for IG as a platform.
I would focus on the below metrics:
- Number of users with a BCM – While this metric is something that is controlled directly by IG (since they approve/verify) BCM users, it would still give me a sense of the use of the feature
- Number of followers per BCM account – engagement on an account is very highly correlated to the number of followers. This will also help me get a sense of the quality of the BCM user profiles/content. (Better content = more followers)
- Number of engagement per BCM account (over some time period) – This helps me get a sense of the egnagement these accounts are driving for IG
- Number of engagement per post/reel/story from a BCM account – This should give us a good sense of the quality of the content being posted. It also gives me an opportunity to identify the 20% BCM accounts that are driving 80%of BCM engagement. If there are certain types of posts/behaviours that these accounts display, maybe we can create featrues to encourage that behaviour
I would also like to look at the incrementality that the BCM accounts drive for the entire platform, so maybe create a cohort of users who are engaging with a 10+ BCM posts a day. Analyse if these users have higher engagement on all of IG than the rest of the platform. If yes, then this might be a signal for me to make awareness/discovery of BCM accounts even more easier.
Tradeoffs:
- The above metrics have no direct way of measuring the quality of the BCM users and the content they produce. However, #2,3,4 above will act as a good proxy for that.
- No way to ensure that the content from these accounts is not offensive/inappropriate/illegal, etc. I will look at the number of “report account/content” for BCM accounts and validate if this is a big enough problem to worry about.
- Quality of engagement – I feel a lot of the BCM posts have comments that are unrelated and low quality(like “please follow me”, “I was the first to comment”). So maybe have a deeper metric for #4 above which looks at an extra dimension of “Number of high quality engagement per post/reel/story from a BCM account” High quality can be defined as likes, comments with likes/replies.
- The last aspect that the above doesnt cover is #of new follows because of BCM accounts. Since there is a lot of engagement on BCM posts, maybe users discover other non BCM accounts with similar interests and start following them. So I’d make #3 a little broader to also include “follow requests” that could be attributed to BCM related posts.

Meta