Jason Cohen on Diagnosing Stalled Growth, the Hidden Multipliers Framework, and the Elephant Curve

Jason Cohen — four-time founder, including two unicorns (SmartBear, WP Engine), investor in ~60 startups, and author of Hidden Multipliers — joins Lenny’s Podcast to walk through a five-question diagnostic sequence for stalled product growth. The framework is sequenced deliberately: each question must be answered satisfactorily before the next is worth addressing, because fixing a downstream issue while an upstream one persists yields no durable gain.

Source: Lenny’s Podcast Speaker: Jason Cohen

Key ideas

1. Logo churn has a mathematical ceiling. The maximum number of customers a company can ever have equals new customers added per period divided by the monthly cancellation rate. At 5% churn and 100 new customers/month, the ceiling is 2,000 customers — and growth slows dramatically as you approach it. Unlike marketing, cancellations scale automatically with company size, which is why they always eventually overtake growth. Onboarding is the highest-leverage churn intervention: fixing the first 30–90 days has disproportionate downstream impact.

2. Pricing probably too low, and the number is the least important part. Patrick Campbell: “Your prices are way too low because you just guessed and you haven’t changed them.” But positioning matters more than the number. The same product can command 8× the price if pitched as “double your leads” rather than “cut your costs in half” — because selling growth unlocks buyer budgets that saving money cannot. Pricing selects the market segment; low prices signal low quality to the buyers with the largest budgets.

3. NRR has a hidden flaw. Net Revenue Retention is mandatory for large SaaS companies (median IPO NRR = 119%) but misleading as a sole metric. A 20% cancellation loss requires a 25% upgrade gain to recover — NRR arithmetic treats them as equal. Logo churn is therefore the stricter and more important number, because it cannot be masked by expansion revenue, and it tracks whether the fundamental product-market promise is being fulfilled.

4. Marketing channels follow an elephant curve, not an S-curve. What looks like a classic S-curve (slow → fast → plateau) actually sags into decline as channel saturation, audience exhaustion, and competitive crowding set in. The practical implication: you cannot simply flog existing marketing channels to reignite growth. New channels or new products are often required — Constant Contact grew by doing in-person workshops; HubSpot built agencies into 50% of revenue.

5. The final question is existential: do you need to grow? “If you’re not growing, you’re dying” may apply to you the person as much as to the company. Some companies (Bootstrap, 37Signals) are legitimately correct to optimise for profit rather than revenue growth. Others discover that stagnation is a signal to change their own chapter, not the company’s metrics.

The diagnostic sequence

On cancellation exit surveys

Multiple-choice cancellation forms are noise — Cohen ran an experiment at SmartBear where randomising the answer order resulted in all options being selected equally. The correct question is “What made you cancel?” (not “Why did you cancel?”) — this prompts attribution to the product, not a generic excuse. The most common exit reason (“too expensive”) is almost never the real cause; they already bought the product at that price. Dig for root-er causes.

On A/B testing (Contrarian Corner)

A/B testing mostly produces false positives. Even at 95% statistical confidence, when the true effect rate is low, false positives dominate. Most A/B testing programmes show apparent wins that evaporate on audit — even Shopify’s team found that ~30% of A/B wins disappear on re-check. Valid at massive scale with rigorous methodology; mostly noise otherwise.

See also

• Jason Cohen — speaker page
• Product Positioning — pricing and positioning cross-reference