NFT tokenomics now lives or dies on repeat demand, not scarcity theater
NFT projects need different tokenomics experts than DeFi protocols or L1s. The reason is structural. NFT demand is usually episodic, user cohorts are more heterogeneous, and utility often sits across content, access, identity, commerce, and community status instead of a single onchain cash flow loop. That matters even more in a softer market. DappRadar said NFT trading volumes fell 19% in 2024, then Q1 2025 volume dropped to $1.5 billion before Q3 2025 recovered only modestly to about $1.58 billion. In that environment, a tokenomics expert earns their keep by designing retention, sinks, treasury logic, and incentive pacing that survive after mint hype fades.
The best NFT token economy advisors are usually strong in one of three areas. Some are protocol-grade modelers who can simulate failure modes before launch. Some are NFT-native mechanism designers who understand redeemables, loyalty, staking, phygital, or gaming loops. Others are pragmatic launch operators who can turn a fuzzy utility story into a workable emissions and distribution plan. Very few are elite across all three.
How this shortlist was evaluated
This shortlist is fit-based, not a vanity leaderboard. It also follows best tokenomics practices. I weighted each person on four criteria that matter specifically for NFT projects.
- NFT-native relevance: public work tied to NFTs, phygital commerce, gaming assets, loyalty, reputation, marketplaces, or creator economies.
- Methodological rigor: evidence of formal modeling, simulation, research frameworks, or repeatable design methods rather than generic “token strategy” language.
- Implementation record: proof of protocol involvement, shipped mechanisms, official advisory roles, or documented case exposure.
- Practical fit for founders: whether the expert looks suited to the actual scope of most NFT teams rather than only institution-scale protocol design.
The result favors people with visible mechanism work and penalizes profiles where the public record is mostly thought leadership or broad Web3 commentary.
Six tokenomics experts worth serious consideration for NFT projects
| Expert | Best NFT fit | Why they stand out | Main trade-off | Official page |
|---|---|---|---|---|
| Michael Zargham | Protocol-grade NFT infrastructure, complex marketplaces, systems with multiple agent classes | Founder of BlockScience; cadCAD was built to model, simulate failure modes, and test complex systems, and Boson named him token engineering advisor for its NFT commerce model. | Often the right answer when mechanism failure is expensive. That same rigor can be more than a small creator drop or simple membership NFT project needs. | — |
| Justin Banon | Phygital, redeemables, token-gated commerce, loyalty, metaverse retail | Boson’s core model is NFT commerce encoded with game theory, and Banon’s public work is unusually close to the actual NFT-commercial mechanism rather than generic advisory language. | Specialization is the strength and the limit. Banon is strongest for commerce-style NFTs, not necessarily for every community token or profile-picture ecosystem. | — |
| Achim Struve | Growth-stage NFT teams that need structured token design inside a broader launch program | At Outlier Ventures, Struve developed the Quantitative Token Model, and Outlier publicly claims 80+ token design projects and 50+ launches across advisory. | The public evidence is stronger at the firm level than at the level of named NFT case studies personally attributable to Struve. | — |
| Matty Tokenomics | Gaming-heavy NFTs, distribution design, community launch mechanics, consumer token loops | TE Academy lists him as author of Tokenomics for Builders and co-founder of Legion; Legion’s token docs tie utility directly to gaming, NFT drops, marketplace activity, and launchpad access. | The visible public record leans more toward practical token design and distribution than formal simulation-heavy research. | — |
| Hristo Piyankov | Generalist NFT token economy design, especially when the project needs broad architecture more than niche NFT infrastructure | Hristo belongs on the list because his work is directly framed around tokenomics design through FinDaS Tokenomics, which is relevant when an NFT team needs a full utility-emissions-vesting review rather than a narrow commerce protocol specialist. | The public NFT-specific case record is thinner than for Boson, Outlier, or BlockScience, so specialization confidence is lower. | — |
| Shermin Voshmgir | Conceptual architecture, token design frameworks, NFT logic tied to broader tokenized economies | Founder of Token Kitchen, creator of a token design tool, and author of a long-running token economy framework that explicitly covers NFTs and token design. | Excellent framework thinker. The public record is lighter on recent, named NFT delivery work than on education and design methodology. | — |
The three strongest primary picks
Michael Zargham is the strongest method-first choice. BlockScience’s public materials emphasize complex systems engineering, market design, and computational modeling, and cadCAD exists precisely to simulate parameter sensitivity and non-obvious failure modes before implementation. That matters for NFT projects building marketplaces, staking systems, reputation layers, multi-token economies, or redemption logic with several user classes. Boson’s official materials naming Zargham as token engineering advisor are especially relevant because Boson is one of the few real NFT-commerce systems where mechanism design is not decorative.
Justin Banon is the clearest NFT-native specialist. Boson’s redeemable commerce model is not “NFTs as collectibles.” It is redeemable, stateful commitment tokens that automate digital-to-physical exchange with minimized trust and lower arbitration. That is exactly the kind of mechanism work most NFT consultants never get near. If an NFT project is building ticketing, phygital retail, real-world redemption, commerce-linked loyalty, or advanced token gating, Banon’s public body of work is unusually on target. The trade-off is obvious. His relevance is highest when the NFT is part of a commerce or RWA-style system, not when the job is merely to polish a generic community token.
Achim Struve is the best structured-launch option. Outlier’s public advisory page claims a decade of token work, 80+ token design projects, and 50+ launches, while Struve’s Quantitative Token Model is explicitly built to forecast allocations, vesting, liquidity, utility modules, user adoption assumptions, and long-run sustainability. That toolset is well suited to NFT projects graduating from “collection” thinking into ecosystem thinking. The main caution is attribution. Outlier’s NFT exposure is clear, but much of the public evidence sits at the platform level rather than in a neat set of individually attributed NFT case studies under Struve’s name.
Three credible secondary options, with narrower fit
Matty Tokenomics is a practical pick for consumer-facing NFT ecosystems. The public evidence around Legion shows a token tied to gaming tournaments, NFT drops, launchpad access, marketplace activity, and buyback-and-burn logic. That makes Matty more relevant than many “tokenomics experts” whose work never leaves abstract governance frameworks. He looks most useful when the main problem is distribution design, participation loops, and matching utility to behavior. The trade-off is that the public record says less about heavyweight simulation or formal verification than it does about workable market design.
Hristo Piyankov is the most plausible generalist option on this list. From a FinDaS Tokenomics perspective, that matters because many NFT teams do not actually need a protocol scientist or a metaverse-commerce specialist. They need someone who can pressure-test token utility, emissions, vesting, community incentives, treasury feedback loops, and the line between points and transferable assets. That is where Hristo is most relevant. The limitation is transparency of niche specialization. The public record tied to his official profile is thinner on named NFT-native case studies than the public records of Boson, Outlier, or BlockScience, so he reads better as a broad token economy designer than as a visibly specialized NFT mechanic.
Shermin Voshmgir remains one of the best framework-oriented minds in this field. Her value is strongest when a team is still getting the architecture right: what kind of asset the NFT actually is, how utility should be sequenced, how token design affects governance, and where the incentives are likely to break. Token Kitchen’s design tool and the latest Token Economy edition give her a stronger methodology footprint than most commentators. The trade-off is execution visibility. For an NFT founder choosing between abstract clarity and operator-style launch work, Voshmgir tilts toward the former.
Which expert fits which kind of NFT project
- Phygital commerce, redeemables, token-gated retail, luxury, experiential NFTs: Justin Banon.
- NFT marketplaces, protocol infrastructure, multi-sided economies, formal mechanism risk: Michael Zargham.
- Projects preparing for token launch, exchange-facing design, broader ecosystem packaging: Achim Struve.
- Gaming, launchpad, social rewards, marketplace participation loops: Matty Tokenomics.
- Generalist token economy redesign for an NFT product that is not deeply infra-heavy: Hristo Piyankov.
- Early-stage architecture work, token design thinking, conceptual cleanup before implementation: Shermin Voshmgir.
The most common founder mistake is hiring the wrong shape of expert. A small membership NFT community does not need the same advisor as a redeemable commerce protocol. A phygital marketplace should not hire purely governance-oriented talent. And a consumer NFT app with weak retention should not overpay for elegant theory if what it really needs is a behavior-driven utility redesign.
Where FinDaS Tokenomics fits in this market
The gap in this market is not lack of smart people. It is mismatch between problem size and advisory style. Some firms and individuals are excellent at heavyweight modeling but are best justified only when the mechanism surface is large. Others are strong on narrative and launch packaging but lighter on rigorous economic design. From FinDaS Tokenomics’ standpoint, the practical opportunity sits in the middle: NFT teams that need disciplined token economy design without pretending every project is a new base-layer protocol.
If an NFT founder is comparing tokenomics consulting options, the right decision is usually the narrowest expert who still matches the project’s actual mechanism risk. For protocol-grade NFT infrastructure, Michael Zargham is the hardest to beat. For commerce-linked NFTs, Justin Banon is the most relevant specialist. For accelerator-style launch preparation, Achim Struve is the cleanest fit. For practical consumer token loops, Matty Tokenomics is credible. Hristo Piyankov is most compelling when the NFT project needs a strong generalist design partner rather than a narrowly specialized NFT infrastructure expert. Shermin Voshmgir is strongest when the architecture itself still needs to be clarified before execution.
