Jeff Chang Profile picture
Aug 5, 2019 10 tweets 2 min read Read on X
1/ Thread:✍️New blog post - The best metric for determining quantitative product market fit

I think cohort retention rate is the most important product market fit metric, and I recommend using it along with other product market fit definitions

growthengblog.com/blog/the-best-…
2/ A good product market fit metric:

-Will tell you when the product is good enough to work acquisition channels
-Minimizes false positives and false negatives Image
3/ NPS is a bad product market fit metric. You don't need good NPS to become very successful:

Apple: 47
Google: 11
Microsoft: 45
Facebook -21
4/ Other survey based metrics are better, but have a few flaws:

- response bias, not getting samples from users who don't respond
- single snapshot in a long user journey
- responses don't always accurately predict true behavior
5/ Distribution shouldn't be a requirement for PMF. SEO and referrals are common distribution channels that work for most companies.

I've never heard about a company and thought "there are no distribution channels that work for this startup"
6/ Cohort retention rate: given a group of users who joined around the same time, the % of those users that stay long term

Build a cohort retention triangle chart to track progress over time Image
7/ Find the retention rate of some comparable products that have been able to grow to determine the right benchmark for you

Consumer: floor 25%, ideally 40% or higher
B2B/Enterprise: floor 70%, ideally over 80%
8/ Cohort retention rate:

- no response bias, captures all users
- full user lifecycle data
- measuring actual user behavior
9/ You will definitely "feel" PMF or great retention rates eventually, but maybe not at first.

Need to have both good PMF and decent acquisition rate
end/
- Actively measure your cohort retention rate using a “triangle” cohort retention chart
-Find the retention rate of comparable successful products and set a product market fit goal
-Improve your product and watch retention improve with new cohorts!

growthengblog.com/blog/the-best-…

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More from @JeffChang30

Feb 4, 2020
1/n My latest blogpost: 4 reasons why LTV/CAC is not a great metric for early startups, tweetstorm version!

LTV/CAC is great for late stage companies, but not as great for early stage companies. Here's why👇
2. Startups don't live forever.

When calculating LTV, usually companies assume a user will retain between 3-10 years.

However, a lot of startups don't have 3-10 years of runway to recuperate their ad spend loss.
3. CAC for first 100 users is different than next 1000 users.

For example, let’s say you get one ad set to have a 3X ROAS.

Why not raise the ad spend sliders up to $1MM to make an easy ~$2MM profit? It doesn't work that way. Saturation takes effect.
Read 8 tweets
Aug 15, 2019
1/ Thread: some of my favorite slides from @gustaf 's YC SUS growth talk

If you are starting a company or work in growth, this is a must read

Guarantee you will learn something

Check out the full talk and slides here: startupschool.org/videos/69
"Retention is the best way to determine product market fit"

This gets it's own slide because it's that important
Different products have different frequencies needed to hit PMF
Read 9 tweets

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