Growth Loop Architecture

Intent

• Replace funnel-only thinking with self-reinforcing loops that compound over time.
• Align channel, product, and community mechanics into measurable systems.

Inputs

1. Current growth metrics (activation, retention, referrals, LTV/CAC).
2. Channel inventory (owned, earned, paid, platform-native, on-chain incentives).
3. Behavioral archetypes and motivations.

Workflow

1. Loop mapping

- Enumerate existing loops (content, UGC, social proof, rewards, UGC marketplaces, token sinks/sources). - Identify leakage points and missing steps.

1. Loop design

- For each desired loop, define Trigger → Action → Reward → Investment elements and measurable KPIs. - Ensure loops respect platform policies and economic constraints (app stores, blockchain gas, privacy laws).

1. Prioritization

- Score loops on strategic fit, time-to-learn, defensibility, and required capabilities. - Select one core loop + one accelerant loop for near-term experimentation.

1. Experiment blueprint

- Specify instrumentation, success gates, and fallback plans. - Align cross-functional owners (product, marketing, community, data).

Verification

• Every loop diagram has explicit metrics and data sources.
• Risk review covers abuse vectors, spam, and platform violations.
• Experiment backlog reflects selected loops with timelines and owners.