tomevault-io 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
- Current growth metrics (activation, retention, referrals, LTV/CAC).
- Channel inventory (owned, earned, paid, platform-native, on-chain incentives).
- Behavioral archetypes and motivations.
Workflow
- Loop mapping
- Enumerate existing loops (content, UGC, social proof, rewards, UGC marketplaces, token sinks/sources).
- Identify leakage points and missing steps.
- 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).
- Prioritization
- Score loops on strategic fit, time-to-learn, defensibility, and required capabilities.
- Select one core loop + one accelerant loop for near-term experimentation.
- 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.
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