Alex Schultz: retention tops metrics

Growth advice gets fuzzy fast. Everyone says “find product-market fit,” then they hand you a pile of vague signals — excitement, signups, waitlists, maybe a few power users. Alex Schultz’s framework cuts through that. Don’t start with traffic. Don’t start with virality. Start with retention. If people don’t keep coming back, the rest is theater. (startuparchive.org) ### What is Schultz actually saying? Schultz’s core claim is blunt: retention is the single most important thing for growth. Not because acquisition does not matter, but because acquisition only compounds if users stick. His practical test is to graph the percentage of monthly active users on the y-axis against days since acquisition on the x-axis. That turns “do users like this?” into something you can actually inspect. (startuparchive.org) ### Why monthly active users? Monthly active users are a useful lens when the product is not meant to be used every day. A lot of founders accidentally grade a healthy weekly or monthly habit as failure because they are staring at daily usage. Schultz’s point is not that MAU is always the right metric. It is that the metric has to match the product’s natural rhythm, or the retention curve lies to you. (startuparchive.org) ### What does a good curve look like? The magic shape is a curve that drops, then flattens. Schultz describes it as asymptoting to a line parallel to the x-axis. Basically, some users churn — that is normal. But a real product keeps a durable base of people who continue to get value. If the line just keeps decaying toward zero, you do not have a stable habit yet. You have temporary interest. (startuparchive.org) ### Why is that such a big deal? Because growth can hide weak products for a while. Paid marketing, launch buzz, referrals, and founder hustle can all stuff users into the top of the funnel. But if the bucket leaks, the system never really scales. Schultz’s warning is that teams often think they have product-market fit when they do not. Then they waste time optimizing onboarding, channels, and virality before they have earned repeat use. (startuparchive.org) ### Where does Dharmesh Shah fit in? Shah’s version of the same idea starts one step earlier — before retention, ask whether the problem already has urgency in the customer’s head. His “strong market need” framing says a weak early product can still win if demand is strong enough, because users will pull the (startuparchive.org)al demand shows up in behavior, not compliments. (swipefile.com) ### And what about “subtract features”? That part is less a formal framework and more a product instinct. If activation is the first moment of value, extra features can delay it. Gamma’s own product team talks about users needing to see something magical in the first five minutes, and the company measures downstream conversion and retention from that early experience. So the “sub(swipefile.com)value loop clearer and faster. (launchdarkly.com) ### So what should a PM or founder do with this? First, pick the right returning-user metric for your product. Then chart retention by cohort and look for flattening, not just a high day-one spike. Next, pressure-test demand — are users already searching for fixes, hacking together alternatives, or paying for ugly substitutes? Finally, cut anything that delays the first obvious win. If the first session is muddy, retention will tell on you later. (startuparchive.org) ### What’s the bottom line? Retention is the lie detector. Signups can be bought. Features can be shipped. Praise can be polite. But repeat usage is harder to fake — and that is why Schultz’s metric still tops the stack.