Most protocols work backward into their fee model – a percentage chosen at launch, followed by a governance vote that never reexamines it – rather than designing pricing around unit economics, gas sensitivity, and competition with token-subsidized rivals. We create pricing strategy that stands up both in a DAO vote and in the market.
The Challenge
Fee models are chosen once at launch and rarely reassessed using real data
A protocol's fee structure is often set before there's any real usage data to inform it, then left unchanged for years because touching it requires a governance vote nobody wants to initiate without strong justification. Teams end up running on pricing decisions made under launch-stage guesswork long after they have the transaction and revenue data to make a much better one.
Gas fee sensitivity skews how users actually experience pricing
A protocol fee that looks small in isolation can feel enormous when it's stacked on top of network gas costs during a period of congestion, and teams that price without accounting for this combined cost sensitivity end up with usage that craters during exactly the moments the network is busiest and revenue potential is highest. Pricing strategy that ignores gas context is pricing strategy built on an incomplete picture.
The fee-switch governance debate makes pricing a political battle rather than an economic decision
When a protocol considers turning on or increasing a fee switch, the debate inside a DAO frequently becomes a battle between token holders wanting yield and users or LPs worried about being priced out, with no shared economic model both sides can evaluate against. Without a real pricing framework grounded in elasticity and competitive data, the vote comes down to whoever argues loudest rather than what the data actually supports.
Competition from token-subsidized rivals can make fair-value pricing seem uncompetitive
A competing protocol subsidizing usage with token incentives can offer an effectively negative fee that no sustainable pricing model can match head-on, and teams that don't have a clear story for why their fee is justified end up either matching an unsustainable subsidy or losing users to it. Pricing strategy has to account for the fact that some competitors aren't actually charging a sustainable price at all.
What We Do
We begin by assessing your existing fee structure against actual usage data – transaction volume, price elasticity signals, and gas cost context during the periods when users are most active – to determine whether the current model reflects reality or launch-stage assumptions.
Strategy development involves creating a pricing model based on real elasticity data and competitive context, including a candid assessment of which competitors charge sustainable fees versus those using token subsidies that can't be matched directly, along with a clear explanation of the value users receive for the fee.
Execution includes developing the economic case and modeling for any fee-switch or pricing adjustment, ensuring a governance vote is based on shared data rather than competing narratives, and creating tiered or usage-based structures where appropriate instead of relying on a flat, one-size-fits-all fee.
Measurement involves monitoring how usage reacts to each pricing change relative to the model's forecasts, then reviewing the fee structure on a regular, data-driven cadence rather than leaving it unchanged until another crisis forces the debate to start again.
Unlike a standard pricing consultancy, we develop models that directly incorporate gas fee context and token-subsidized competition, two considerations absent from traditional SaaS or consumer pricing work but decisive in crypto.
We also develop the governance communication layer together with the pricing model, because even a technically sound pricing change must still secure a DAO vote, which requires expressing the economic model in terms token holders and users can meaningfully assess.
What we deliver
- Fee structure audit against real usage and elasticity data
- Pricing model that explicitly accounts for gas cost context and token-subsidized competitors
- Economic case and modeling for any fee-switch or pricing change, built for governance review
- Tiered or usage-based pricing design where a flat fee is leaving value or users on the table
- A recurring pricing review cadence tied to real data instead of crisis-driven re-litigation
When a fee switch debate is decided by whoever argues most loudly in a governance forum, it's a sign the protocol never created a genuine pricing model. The economics should determine the vote before rhetoric takes over.
Our Methodology
Our pricing strategy engagements for crypto and DeFi protocols operate as a 90-day sprint built on usage data rather than launch-stage assumptions. Phase one, covering the first 30 days, audits the current fee structure against actual transaction volume, elasticity signals, and gas cost context, while mapping the competitive landscape to distinguish rivals with sustainable pricing from those using subsidies.
Phase two, spanning days 31 to 60, develops the pricing model and, when a fee-switch or structural adjustment is under consideration, creates the economic case and governance-ready materials needed for a data-driven vote rather than a rhetorical contest.
Phase three, from days 61 to 90, provides support for the governance process when a vote is active and establishes a recurring review cadence, ensuring the fee structure is regularly reassessed using real data instead of remaining static until another crisis. Unlike a conventional pricing consultancy, every phase treats gas fee sensitivity and token-subsidized competition as first-class model inputs.
Our Process
Initial engagements typically last 60 to 90 days. During the first 30 days, we audit current pricing against actual usage data. Days 31 to 60 focus on developing the pricing model and, when applicable, the governance-ready economic case. Days 61 to 90 support any governance process and establish an ongoing review cadence.
Our team brings together a pricing strategist responsible for economic modeling, an analyst who gathers and organizes on-chain usage and elasticity data, and an operator experienced in fee-switch governance debates who can translate an economic model into terms a DAO vote can meaningfully assess. From your team, we require access to transaction and fee data, insight into any upcoming or active governance process, and time with the person coordinating the DAO vote if one is underway.
Weekly working sessions test the developing pricing model directly against real usage data – if an elasticity assumption doesn't align with actual transaction patterns, we identify and correct it before it reaches governance materials, rather than after a failed vote. A mid-engagement checkpoint evaluates the competitive landscape analysis to ensure the model reflects the competitors users are actually considering.
Most teams receive a data-grounded pricing model within 45 days, with governance-ready materials and, when relevant, a supported voting process completed by day 90.
- A fee structure grounded in real usage and elasticity data, not launch-stage guesswork
- Governance debates settled by shared economic modeling instead of rhetoric
- Pricing that accounts for gas cost context and token-subsidized competitors
- A recurring review cadence so pricing evolves with real data over time
If your crypto / defi company needs pricing strategy leadership, we should talk.
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Frequently asked questions
What does a pricing strategy engagement cost for a crypto or DeFi protocol?
Engagements are generally structured as a project fee based on the fee structure's complexity and whether governance support for a fee-switch vote is part of the scope, comparable to hiring a senior pricing or economics professional without the cost of full-time headcount. Governance support is typically defined as an add-on connected to a specific vote timeline.
How soon will we have a usable pricing model?
The usage-data audit generally identifies the most significant pricing problems within the first 30 days, often immediately reshaping how a team approaches an upcoming fee-switch debate. The complete pricing model and any governance-ready materials are typically available by day 60.
How will your team work with our current tokenomics and governance staff?
We partner directly with the person responsible for tokenomics or protocol economics on your team, while coordinating with governance facilitators or core contributors overseeing an active DAO vote to ensure the economic model becomes material the community can meaningfully assess.
How is this different from working with a traditional pricing consultancy?
Traditional pricing consultancies don't factor in gas fee context layered on top of protocol fees, or the fact that certain competitors use unsustainable, token-subsidized pricing that cannot be matched directly. We incorporate both factors into the model from day one because they determine outcomes in crypto.
How do you evaluate the ROI of a pricing strategy engagement?
We measure whether usage reacts to a pricing adjustment as the model forecast and whether governance votes on fee changes are settled using shared data rather than contentious, rhetoric-led debate. The most obvious return often comes from preventing a fee-switch decision that could have pushed users away or left meaningful revenue on the table.
Which type of crypto or DeFi company is the best fit for this service?
The strongest fit is a protocol with an effective scale between $5M and $100M that hasn't reviewed its fee structure since launch, is approaching a fee-switch governance debate, or is losing users to token-subsidized competitors and needs a credible economic case explaining why its pricing is justified.
