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Key Engagement Challenges in Web3 The attention economy defines modern Web3. Billions in incentives flow across networks each year, yet projects still struggle to understand who their users are and what they truly value — in an ecosystem that remains fragmented. Projects invest heavily to attract attention but lose it immediately when rewards stop. Loyalty, intent, and truth remain invisible. The question isn’t whether users are engaging — it’s why they are, how they behave, and what keeps them coming back.
Key Challenges
  • Behavioural Visibility: Most analytics stop at wallet-level tracking. They can’t reveal patterns, intent, or loyalty behind the data.
  • Data Fragmentation: User activity is spread across chains, platforms, and protocols — making cross-network attribution slow, inconsistent, and often unreliable.
  • Signal Authenticity: Bots, farmers, and opportunistic users distort key metrics, obscuring who contributes genuine value and who exploits incentives.
  • Retention Measurement: Current tools capture events, not relationships. There’s no system that quantifies commitment or measures sustained engagement over time.
Splice redefines how engagement is understood and valued. It measures intent, verifies loyalty, and makes user behaviour transparent, measurable, and actionable. By transforming fragmented signals into structured insight, Splice turns engagement into a shared, verifiable, and meaningful resource, enabling teams, communities, and ecosystems to grow sustainably.