Organization Name – Safary Club

Category – Logistics

About

powered by irmaAI

Safary is a Web3 growth analytics platform launched in 2022 that combines on-chain data with social and marketing intelligence to help protocols understand their acquisition and retention funnels. Co-Founder Justin Vogel is verified. The Safary Summit — an industry event co-organised with Hype and Trust Wallet — signals genuine ecosystem engagement beyond the product itself. The VBTS of 3.59 at the 19th percentile and no MES data available indicate limited transparency. This profile appears under logistics in the VaaSBlock directory — a category misclassification; Safary is a marketing… intelligence tool. The core positioning centres on the distinction between vanity metrics (follower counts, impressions) and growth-rigor metrics (conversion rates, cohort retention, attribution-corrected acquisition costs).

The empowered product team at a Web3 protocol needs to understand what is actually driving user acquisition and retention — not what looks impressive in a slide deck. The crypto industry has an unusually severe vanity-metrics problem: social followings inflate through bot activity and airdrop farming, Discord member counts grow through giveaway campaigns that produce zero-retention users, and on-chain transaction counts spike during incentivised programmes that disappear once rewards end. A protocol that cannot separate real growth from metric inflation cannot make good product decisions. Safary’s value proposition is that it can make this separation by combining on-chain transaction analysis with attribution data across the marketing funnel.

The challenge for any analytics product in the Web3 space is the methodology gap: what assumptions are embedded in the attribution models, and are they disclosed? An analytics platform that reports “X users came from campaign Y” without explaining how that attribution was made — when wallet addresses do not map to identities, when on-chain activity can be gamed, and when the same wallet can behave differently across campaigns — is presenting a number that sounds precise but may not be. Our own Marketing Effectiveness Score methodology addresses some of these attribution challenges. Safary is Unverified under VaaSBlock’s RMA framework. The problem it is solving is real and important for protocol teams making resource allocation decisions. Read More