Guide

Funnels describe how a user moves through stages: visit → signup → activation → payment. They are useful for diagnosis. They are a weak model of how a product grows, because a funnel does not explain where the next visitor comes from.

Growth loops close that gap: the output of one cycle becomes the input of the next, so growth can compound instead of depending forever on more ad spend. Reforge's framing — "growth loops are the new funnels" — is the mental model behind most modern growth orgs.

Concept

A growth loop is a causal cycle where usage or revenue produces more distribution. Cycle time (how fast the loop turns) matters as much as the conversion rates inside it: a viral loop with K = 0.8 that turns daily can outgrow one with K = 1.1 that turns monthly.

The big idea

A funnel is open-ended. You push traffic in the top; conversions fall out the bottom; to grow you push more. Channels, product and monetization get optimized in silos.

A loop is a closed system:

Input → Action in product → Output → Reinvested as new input

Examples: user invites friends → friends sign up → they invite more. User creates a public page → SEO indexes it → new users arrive → more pages. User pays → revenue funds ads → new users → more revenue.

Funnels still matter inside a loop (invite landing conversion, activation after signup). Think of funnels as the gears; the loop is the engine layout. For channel strategy more broadly, see distribution.

Pair any loop with solid retention: a loop that acquires users who immediately churn is a noisy acquisition machine, not a business. If new users do not reach value fast enough for the loop to turn again, you do not have a loop problem — you have an activation problem.

Walking through the three questions

  1. What does a happy user naturally produce (invites, content, revenue, data, status)?
  2. How does that output reach someone new?
  3. Does the new user reach value fast enough for the loop to turn again?

If you cannot answer (1), you are staring at a funnel and hoping. If (3) fails, fix activation before you tune invites.

Common mistakes

  • Loop theater. A share button nobody uses, counted as "we have virality."
  • Optimizing the funnel in silos while nobody owns where the next visitor comes from.
  • Ignoring retention inside the loop. Invitees who bounce make week-1 math look fine and week-4 math useless.

Check yourself

You improved signup conversion 20% and still cannot say where next month's visitors come from. Funnel or loop problem?

Loop. The funnel got better; the engine still needs an output that becomes new input.

K = 0.8 daily vs K = 1.1 monthly. Which can grow faster?

The daily 0.8. Cycle time compounds generations. A slower K > 1 waits longer to show it.

Key takeaways

  • Funnels diagnose steps. Loops explain compounding growth.
  • Cycle time matters as much as the rates inside the loop.
  • If invitees do not activate and retain, you are tuning the wrong system.

Further learning

Next, the viral math: K-factor.