Blue Apron had quarterly revenue growth and catastrophic cohort retention at the same time. The P&L lied...

Blue Apron had quarterly revenue growth and catastrophic cohort retention at the same time. The P&L lied. The bank account didn't.

Think Big Minute #32

Reed Hastings runs Netflix on cohort retention. The average $1M business owner can't tell you how their March customers are behaving in June.

Guess which one knows what's coming.

Customers who bought in March behave differently than customers who bought in June. Cohort tracking is the math nobody runs.

Why do you think that is?

The default view in every tool you use is aggregate. QuickBooks shows you a P&L. Stripe shows you MRR. Your CRM shows you total customers. None of them default to a cohort view. You have to go pull the data and slice it yourself, and most business owners don't realize they could.

Total revenue isn't a number. Total orders isn't a number. They're aggregates that hide what's actually happening underneath.

Your business doesn't have an average customer.

It has cohorts. Every cohort behaves differently from the next.

Reed Hastings has said publicly that retention is the metric Netflix runs on. Every signup is tracked for years against every other cohort. Netflix is worth over $300B largely because they know how their 2018 subscribers are aging compared to their 2024 subscribers.

Stewart Butterfield used Slack's retention numbers to fundraise. He could show investors that users from 3 years prior were still active. The cohort curves were the proof. Salesforce paid $27B for the company a few years later.

Drew Houston discovered through cohort analysis at Dropbox that referral users had dramatically lower churn than paid acquisition. He built the referral program directly into the product on that finding. Dropbox IPO'd at $9B.

Ben Chestnut bootstrapped Mailchimp for two decades on retention data. No venture capital. No funding rounds. Sold to Intuit for $12B in 2021.

Then look at what happens to companies that skip the math.

Quibi raised $1.75 billion from Disney, Warner, NBCUniversal, Goldman, JPMorgan, and Alibaba. Launched April 2020. Downloads looked fine. The cohort retention was catastrophic and nobody at the top wanted to look at it. Shut down 6 months later. $1.75 billion gone.

Blue Apron reported quarterly growth in total orders while every cohort retention curve got worse. The aggregate looked great. The cohort told the truth. They sold for parts to Wonder Group in 2023.

Quibi and Blue Apron both watched aggregate numbers go up while every cohort got worse. They had what most $1M businesses have right now sitting in their database.

A growth mask.

The aggregate hides the cohort decay underneath. By the time the aggregate catches up to what the cohorts have been doing, you're already 18 months too late to fix it.

I'm guilty of this.

For years at Legiit I watched the totals go up and assumed everything was working. Orders up. Revenue up. Active buyers up. I'd see the big numbers and feel fine about the business.

The aggregate told a story that wasn't the actual story.

When you process over a million orders the cohort data is sitting right there in the database waiting for someone to look at it. We weren't looking at it the way we should have been.

That's different now. The instinct is still to look at the big number and feel good though. The big number was never the truth.

Here's why business owners are bad at this specifically.

Every accounting class, every quarterly statement, every financial review is built around the P&L. Revenue at the top. Expenses in the middle. Net profit at the bottom.

It's an aggregate document by design.

It doesn't know what a cohort is. It can't tell you that your customers from one channel are worth 3x the customers from another. It can't tell you that your June customers are 2x more likely to churn than your March customers. It sums everything and hands you one number.

That number becomes the story of the business.

The actual story is happening one layer underneath in customer cohorts the P&L doesn't see.

By year 5 the aggregate and the cohort are telling completely different stories. Most business owners only read one.

Here's how to actually run this in your business.

1. Pick your timestamp. The date each customer first transacted. Signup date. First purchase. First order. Whatever marks the beginning of the relationship.

2. Group customers by month. The January 2024 cohort. February 2024 cohort. So on. Monthly is the standard. Quarterly works for slower-moving businesses.

3. Pick 2 to 3 metrics that matter. Retention rate. Repeat purchase rate. Average order value. Lifetime value to date. Don't track 20 things. You'll never look at it.

4. Compare cohorts at the same age. Your January cohort at month 6 against your June cohort at month 6. The comparison only works at equal time-since-acquisition.

5. Slice by acquisition channel. Facebook ad cohorts behave differently than referral cohorts. Organic cohorts behave differently than paid. Same business. Completely different math underneath.

6. Look for the cliff. If newer cohorts retain worse than older cohorts, something is breaking. Could be the product. Could be onboarding. Could be that your channel mix is shifting toward worse customers.

7. Find the why behind the curves. The data points to a problem. Your job is to find the cause. Did onboarding change? Did the ad creative change? Did you start running on a channel that brings worse customers?

8. Look at it weekly. Cohort analysis isn't a one-time exercise. The patterns only become useful when you watch them move.

Stop watching totals.

Start watching cohorts.

The aggregate is what kills your business while telling you it's healthy.

Think Big

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