Modern Growth Stack
The Modern Growth Stack is Naomi Ionita‘s taxonomy of the levers available to a growth function, organised as a hierarchy from top (acquisition) to bottom (referral). Its primary use is diagnostic: most growth teams over-invest in the top of the stack and under-invest in the middle and bottom, despite evidence that monetisation and retention have higher marginal returns at most company stages.
The five layers
Acquisition — channels that bring new users into the product. The most resourced layer in most companies; typically includes paid, organic, content, and partnership channels.
Activation — converting new users into active users. The gap between sign-up and the point of genuine value realisation. High acquisition with low activation wastes the top of the stack.
Monetisation — converting activity into revenue. Pricing, packaging, upsell mechanics, and payment flow. Ionita’s research finding [?]: a 1% improvement in monetisation has 4× the bottom-line impact of a 1% improvement in acquisition, because it operates on the full existing user base rather than on the marginal new user.
Retention — preventing churn. Keeping active users active. Structural retention (product has sticky use cases) is more durable than engagement-loop retention (product manufactures reasons to return).
Referral — turning existing users into an acquisition channel. Products with collaborative architecture generate referral naturally; antisocial products must manufacture it.
The monetisation gap
The disproportion between investment in acquisition and investment in monetisation persists for structural reasons: [§ Monetisation gap]
- Acquisition is measurable, attributable, and culturally exciting (growth metrics are visible in dashboards)
- Monetisation touches pricing, which is uncomfortable for many product and growth teams
- The finance team often owns pricing, separating it from the people with the deepest product and user knowledge
- The 4× impact ratio is counterintuitive — most people would expect acquisition and monetisation to have roughly symmetric returns
The practical implication: at most company stages, the next dollar of growth investment has a higher expected return if directed at monetisation than at acquisition.
Freemium calibration
The most common freemium failure mode is a free tier calibrated to maximise user satisfaction rather than to create a genuine conversion incentive. [§ Freemium]
Evernote is the canonical case: a free tier capable enough that most users had no material reason to upgrade. Large user base, low conversion, eventual company crisis.
Ionita’s diagnostic: if the primary reason users are paying is guilt, the free tier is too good. Guilt is not a durable retention mechanism — it erodes as users habituate and rationalise.
The correct calibration: the free tier should demonstrate value clearly enough to create desire, and create a genuine capability limit clearly enough to motivate conversion. Both are required; either alone is insufficient.
Collaborative architecture as a structural referral engine
Products with genuinely collaborative architecture generate referral and expansion revenue as a structural property, not as a growth hack. [§ Collaborative architecture]
Figma’s multiplayer editing is not a feature — it is the architectural foundation on which expansion revenue and referral dynamics rest. A designer who works in Figma naturally pulls in stakeholders, engineers, and other designers. Each entry point is an acquisition event.
Ionita’s claim: this architecture cannot be retrofitted. Products that start as single-user tools face structural barriers to genuine collaboration; the mental model, data model, and UX were all designed for individual use. The decision to build collaboratively must be made at the architectural level, before the product exists.