Founder Playbook · Sub Club by RevenueCat

9 tactics from Sean Ellis & Ethan Garr

Breakout Growth PodcastSean coined "growth hacking"; Ethan grew RoboKiller to acquisition by IAC

8 Principles for Sustainable Growth — Sean Ellis & Ethan Garr

Watch the full episode
Product
If you just focus on revenue and value is not moving at the same pace as revenue then eventually revenue is going to crash. If you can focus on how do I keep growing that footprint of value and have revenue be a function of that value then revenue is going to be much more sustainable.

North Star Metric Reflects Value Delivered — Revenue Is a Lagging Shadow of It

Sean Ellis defines a north star metric as the single measure of aggregate value delivered to customers — not a revenue proxy. Revenue lags value; when value stalls, revenue collapses later. The NSM forces every team to ask 'does this move the thing users actually care about?' instead of optimizing local metrics that don't translate to sustainable growth.

Idea validation
The only way to know if it's a must-have is to get it in the hands of potential customers and ask them how they would feel if they could no longer use it. If they wouldn't care then your product's not a must-have.

The "Very Disappointed" Survey Is the Only Reliable Must-Have Signal

Sean Ellis coined the PMF survey question used by hundreds of companies: if more than 40% of users say they'd be 'very disappointed' if the product disappeared, you have enough signal to build a growth engine. Below that, you're still iterating toward must-have. The threshold isn't magic — it's the minimum observed level where sustainable growth is consistently achievable.

Product
We would actually ask that question as a part of a survey every week while we were growing RoboKiller. Companies fail because they don't find product market fit but they also fail to grow because they don't understand their product market fit.

Run the PMF Survey Weekly — Product Market Fit Is a Dial, Not a Gate

At RoboKiller, Ethan Garr ran the PMF survey every single week and cross-referenced results against every product change — not to find PMF once, but to continuously deepen understanding of it. Most founders treat PMF as a binary gate they pass through. The more useful mental model: a dial you keep turning, with each product change moving it up or down for different user segments.

Onboarding
We had to figure out what was the right narrow use case that we could onboard people into. Once we converted them on that use case then spoon feed the rest of the product to them kind of one at a time.

Onboard to One Use Case — Spoon-Feed the Rest After Activation

At Dropbox, Sean Ellis found that showing new users everything the product could do actually scared them off. The fix: pick the single narrowest use case most likely to create an aha moment, get users converted on that one thing, then sequentially introduce each additional feature when contextually relevant. Breadth kills activation; narrow + deep opens the door.

Product
Just being deliberate and saying every single day have at least one customer conversation is super powerful to stay plugged in and not just think of people as a bunch of numbers.

Talk to a Customer Every Single Day — Data Without Context Runs Blind Experiments

Sean Ellis discovered this discipline at Logged Me In: a VC who kept asking 'when did you last talk to a customer?' forced him into daily conversations. The payoff wasn't just softer insights — he ran measurably better experiments because he had so much more context. The survey identifies which customers to call; the call gives the qualitative texture the survey can't capture.

Product
If the majority of the people you get in the door never actually experience the product then they contribute nothing to that north star metric. Activation — how do I actually get them to experience that value the first time — is a big part of that engine.

Map Your Value Delivery Engine Before Optimizing Any Single Funnel Step

Sean Ellis's 'value delivery engine' diagram maps acquisition, activation, engagement, referral, and revenue as interlocking loops — each one able to move the north star metric. The exercise reveals where the real leverage is: most companies invest in acquisition while leaving a broken activation step that means most new users never reach the aha moment and therefore never count toward real value.

Onboarding
It's really speed to delivering on the value proposition in a credible way. It doesn't always mean fewer steps. The aha moment for them is really hard to get to the point where you truly believe you're going to lose the weight.

Speed to Value Doesn't Always Mean Fewer Steps — Noom Needed 60 to Create Belief

Noom's 60-step onboarding makes no sense unless you understand the job: get users to genuinely believe they will lose weight. Each step builds psychological investment and refines an increasingly personalized prediction. Sean Ellis helped Noom early and watched it test its way to this counter-intuitive insight: for habit-change apps, a longer onboarding that builds conviction converts and retains better than a short one that skips the belief-formation step.

Retention
In the subscription space it leads to high churn. If you burn your users you're going to lose them. You need to respect your users and take a principled approach to business.

Principles Before Profits: Dark Patterns Drive Short-Term Revenue and Long-Term Churn

Sean Ellis and Ethan Garr list 'principles before profits' as the eighth growth principle because the subscription model exposes the cost of burning users more nakedly than any other model. Churn is the direct, measurable consequence of mistreating customers — a dark pattern that tricks someone into subscribing just creates an annoyed churner in the next billing cycle. Transparent, user-respecting growth is also better growth.

Distribution
You can have product market fit but kind of not fully understand it. Building that initial growth flywheel is a pretty different skill set than the operational side. You have to figure out who and why and then what channels.

Start Building the Growth Flywheel Before You Operationalize — They Require Different Skills

Sean Ellis draws a sharp line between building the first growth flywheel (who needs this, why, which channel works, what business model fits that channel) and operationalizing growth (dashboards, team accountability, scalable systems). Most founders skip straight to ops. The flywheel phase requires deep qualitative insight and channel hypothesis testing; only after one channel proves out do dashboards have anything to manage.