Many crypto teams assess their market, competitors, and traction with on-chain metrics that are partly synthetic. We develop research that distinguishes real users from farmed volume, so token design, positioning, and go-to-market decisions are grounded in something real.
The Challenge
Wash trading and farming distort on-chain metrics
TVL, volume, and holder counts get inflated by wash trading, airdrop farmers, and sybil wallets long before a team looks at the numbers. A protocol can look like it has real traction while most of the activity is farmers cycling the same capital through multiple wallets to qualify for a future token. Teams that plan roadmap, liquidity incentives, and fundraising narratives off these numbers are planning against a fiction. When the farming stops after an airdrop or incentive program ends, the metrics collapse and nobody understands why.
Competitive intelligence is fragmented across chains, Discords, and governance forums
A competitor's real signal – fee revenue, actual retention, treasury runway, protocol changes – is split across block explorers, governance proposals, Discord announcements, and Twitter threads instead of one comparable dataset. Teams either skip this work entirely or rely on secondhand takes from crypto Twitter, which is itself full of incentivized narratives. Without a disciplined read on where competitors are actually winning users versus just winning mindshare, positioning gets built on vibes instead of evidence.
Market sizing keeps shifting amid regulatory uncertainty
What counts as an addressable market for a token, a stablecoin product, or a DeFi primitive shifts every time a jurisdiction changes its stance on securities classification, custody, or KYC requirements. A market that looks winnable in one regulatory posture can shrink or disappear under another, and most teams size their opportunity once and never revisit it. That leaves fundraising decks and go-to-market plans built on an addressable market that may no longer exist by the time the product ships.
No one distinguishes mercenary liquidity from genuine product-market fit
High APY and token incentives attract capital and users that leave the moment a better yield shows up elsewhere. Teams frequently mistake this mercenary activity for genuine demand and build roadmap decisions around retaining users who were never going to stay. Without research that isolates behavior after incentives taper off, a protocol can spend a year optimizing for the wrong user and miss the smaller cohort that would have stuck around for the actual product.
How We Can Help
We begin by assessing what your current data truly reveals versus what it seems to show. During the first 30 days, we pull your on-chain activity, holder base, and competitive set, then apply a real-user filter – distinguishing wallets with organic transaction patterns from farming clusters, wash-trading pairs, and sybil behavior.
Strategy development uses that clean baseline to address the decisions you're actually considering – which chains to enter, how to price a token launch, and which competitor is truly winning your users rather than merely capturing headlines. Instead of delivering a generic market report, we scope research around those specific bets.
Execution is where we conduct the fieldwork.
Measurement means connecting every finding to a decision your team needs to make. A holder-cohort study has value only if it changes how you structure the next incentive program. A competitive teardown matters only when it changes your positioning or roadmap.
What sets this apart from an off-the-shelf research report is that we operate as an embedded team, rather than a vendor that hands over a PDF. The person conducting the wallet analysis is in the room when you choose the incentive structure. The person monitoring your competitor's treasury joins the conversation when you set pricing.
We also develop your team's ability to continue this work after the engagement. Real-user filtering, competitive tracking, and regulatory monitoring are established as repeatable processes your team can operate, rather than a one-off deliverable that becomes outdated as soon as incentive structures shift again.
What we deliver
- Real-user filter that separates organic holders and traders from wash trading, farming, and sybil clusters
- Wallet-cohort retention analysis tracking behavior before, during, and after incentive programs
- Competitive teardown combining on-chain fee revenue and treasury data with off-chain community and governance signal
- Regulatory-adjusted market sizing that gets revisited as jurisdictional posture shifts
- Repeatable research process your team owns after the engagement, not a one-time report
The holder total shown on your dashboard is not your market. Unless you remove wash trades and farming wallets, you cannot know how many genuine users you have – and neither can the competitor you're measuring yourself against.
Our Methodology
Our market research for crypto and DeFi teams is delivered as a 90-day sprint centered on one initial question: which parts of your current data are real? Phase one, covering roughly the first 30 days, establishes a clean baseline. We pull on-chain activity and analyze wallet behavior to distinguish organic users from farmed and wash-traded activity, ensuring every later decision rests on a figure you can trust.
Phase two, from days 31 to 60, applies that clean data to the specific choices you're considering. We conduct competitive teardowns using on-chain and off-chain signals, develop cohort retention analysis to identify who remains after incentives decline, and monitor regulatory posture as it affects your addressable market. This is fieldwork rather than desk research – including direct interviews with genuine holders and users identified through the cleaned dataset.
Phase three, spanning days 61 to 90, brings the findings together in a decision brief addressing chain expansion, positioning, incentive design, or fundraising narrative, depending on what your team is evaluating. Rather than delivering a report and leaving like a research vendor, we transfer the filtering and tracking process itself, enabling your team to maintain clean data as both the market and regulatory environment continue to evolve.
Our Working Process
Initial engagements last 60 to 90 days because creating a dependable real-user filter and conducting primary interviews with actual holders requires genuine fieldwork, not a desk report assembled in a week. The first 30 days create the clean baseline. From days 31 to 60, we conduct competitive teardown, cohort analysis, and holder interviews. Days 61 to 90 turn the findings into decisions and transfer the ongoing tracking process to your team.
Our team consists of a research lead responsible for wallet-behavior analysis and synthesis, an analyst handling on-chain data pulls and competitive teardown, and an operator with experience running token launches and incentive programs who converts findings into roadmap and go-to-market decisions. From your team, we require read access to your on-chain analytics stack, wallet-level data when available, and time with the person responsible for tokenomics or incentive design.
Weekly working sessions compare developing findings with active decisions – if cohort analysis already indicates that a chain expansion is less promising than expected, we raise it before day 90 rather than hiding it in the final readout. A mid-engagement checkpoint presents the clean-baseline figures early, because those numbers alone frequently alter a decision.
Within 60 days, most crypto teams gain a decision-grade understanding of their real user base and competitive standing, with the complete sizing and positioning brief delivered by day 90. Afterward, your team retains the filtering and tracking process, so you do not need to commission a new study whenever incentive structures change.
- A trustworthy read on real user and holder growth, separated from farming and wash-traded noise
- Competitive position benchmarked on fee revenue and retention, not follower counts
- Incentive programs designed around users who actually stay, not mercenary liquidity
- Market sizing that accounts for regulatory posture instead of assuming a static addressable market
If your crypto / defi company needs market research & insights leadership, we should talk.
Expand your marketing team output with our experts
Let us take a custom approach to your growth goals by assembling and leading the best-in-class marketing team to support your next stage.
Frequently asked questions
What does a crypto market research engagement cost?
Engagements use a project fee based on the number of chains, competitors, and holder cohorts included in scope, structured similarly to hiring a senior researcher but without the expense of full-time headcount. The largest cost drivers are the on-chain data pull and the number of direct holder interviews needed to produce a credible cohort analysis.
How soon will we begin seeing results?
The clean-baseline figure – your genuine user count after removing farming and wash trading – is typically available within the first 30 days and often changes how a team views its traction by itself. Competitive teardown and cohort retention analysis are completed by day 60.
How will your team collaborate with our current tokenomics and growth staff?
Rather than working as an external vendor, we embed with the person responsible for tokenomics, incentive design, or growth on your team. The analyst extracting wallet data uses your existing on-chain analytics stack, while the operator converting findings into decisions participates directly in your incentive-design and roadmap discussions.
How is this different from a conventional market research firm or crypto data dashboard subscription?
A dashboard subscription provides raw on-chain figures without identifying which ones are genuine; a conventional research firm often lacks an understanding of wallet-level behavior or the specific ways wash trading and farming distort crypto metrics. We pair wallet-behavior filtering with direct holder interviews and competitive teardown designed around how crypto protocols actually create and fabricate traction.
How is the ROI of a market research engagement measured?
We connect each finding to a defined decision – whether a chain-expansion choice, an incentive redesign, or repositioning against a competitor – then monitor whether the decision changed and what risk it helped the team avoid. The most obvious return usually comes from preventing a token launch, liquidity mining program, or fundraising narrative based on inflated holder figures, because fixing that after launch costs far more than identifying it beforehand.
What kind of crypto or DeFi company is best suited to this service?
The ideal fit is a protocol or token project with an effective scale between $5M and $100M that is preparing to make a meaningful bet – such as a token launch, chain expansion, incentive redesign, or repositioning against a competitor – and must determine whether its current metrics are trustworthy before committing. If your team believes some holder growth may be farmed, or has never distinguished mercenary liquidity from users who genuinely remain, this service is designed for you.
