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3 Comments

Is this cohort analysis good or bad?

Since our official product launch in November, The Bit has been able to sign up over 200 users to our platform. I would love any help interpreting our cohort analysis, so I can better our user's journey using our platform. In your experience, is the analysis below concerning or normal?

on December 13, 2019
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    Hey @fionaw look at you bein data-driven! 🤜🤛

    Ok so a couple of thoughts about analyzing your dataset:

    • Outliers: what did you do for onboarding the Nov10 cohort, and for re-engaging the Oct27th cohort 4 weeks later? What did you do for the Oct27 cohort that increased their engagement week-over-week? And likewise, what changed for the future cohorts?
    • Cohort filtering: it's tough to look at users all-in. How about filtering folks for specific marketing copy, or demographic (gender/age) - do the engagement percentages vary among the filtered cohorts?

    You're on a really good track with the data your team is collecting. Might make sense to pick the filtered-cohort that had the best engagement rate and do the same thing every week for a few weeks - you goal is to get a consistent cohort analysis (ie. week1 always 15% +/- something, week2 always 10% +/- something) because then you can work with growth person to predictably explode user numbers

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      This is great, thank you!

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    Cohort analysis can be a very powerful tool to understand user retention and drop offs.

    In this case, I think it depends a lot on how many users you've gotten so far, so the results are statistically significant.