Chapter 29 · What Crypto BD Actually Connects
Does BD produce contacts or a resource network?
- Capabilities practiced
- ResearchSystem Thinking
- Hands on
- Draw a protocol's resource network: where chains, wallets, exchanges, market makers, foundations, and developers fit.
- AI Lab
- Have AI draft a partnership proposal. Add the part that explains why the other party should agree.
A Real-World Problem
Two BD professionals, the same protocol, the same quarter.
The first reports over 400 new contacts, six industry conferences, more than thirty prospective partnerships, and twelve joint announcements. Every announcement says “strategic partnership,” with attractive graphics.
The second reports only three lines:
A wallet added an entry point to our protocol on its asset page
A market maker began continuous quoting on two trading pairs
Widely used infrastructure integrated our data interfaceThree things in one quarter. The first person's presentation is clearly thicker.
Six months later, none of the first person's twelve announcements corresponds to a measurable curve change. Using Chapter 23, active addresses, volume, and inflows show no discernible change around announcement dates.
Each of the second person's outcomes corresponds to a curve: wallet-originated calls become a major source of new users; typical-trade slippage drops an order of magnitude after market making starts; three new products integrate the data interface without needing discussions.
The same role and period produced entirely different outputs.
This chapter asks: what is BD's output if it is not contact count, and how do you know it occurred?
Thought Experiment
You open a bakery in an unfamiliar city. During the first week, you list whom you need.
The list splits into categories, each wanting entirely different things:
Suppliers. Flour, butter, packaging. They want stable orders and timely payment. You offer predictable purchasing and evidence that the shop will survive.
People who sell for you. Delivery platforms, the neighboring café, office receptionists. They want something that pleases their customers without creating work. You offer consistent quality and an effortless handoff.
People who make you visible. A mall places your sign at its entrance or in a basement corner. It wants entrance tenants who bring traffic without damaging its reputation.
People lending money. They want repayment. You offer credible accounts.
People teaching or endorsing you. A respected baker lending their name wants protection of their reputation.
Notice: you want partnership, but nobody else wants partnership itself. Each wants a specific outcome tied to their own evaluation.
Every negotiation therefore fits three lines:
What I want: Which of my curves it affects
What I offer: Which of their curves it affects
Why they agree: Where this ranks among their evaluation criteriaWithout the third line, cooperation will not happen—or will not be executed if agreed.
Add one layer: the mall signs a strategic partnership agreement and both issue announcements, but it ultimately places you in the basement.
The announcement is real; the partnership is not. The difference is a concrete action completed and visible to a third party.
Replace the bakery with a protocol and the model applies unchanged. One difference: on-chain, third parties can usually verify completed actions directly.
Your Decision
A new protocol has one BD professional and three months. Choose the first of four routes.
What Happens
The routes differ, but all outputs fit three categories:
BD connects liquidity, distribution, and integration—not the length of an address book.
| Output | What changes | Typical counterparties | Verification |
|---|---|---|---|
| Liquidity | Actual trade execution | Market makers, liquidity providers, venues | Measure depth and slippage on-chain and in order books |
| Distribution | How many can conveniently use the product | Wallets, aggregators, ecosystem placements | New-user curves by call origin |
| Integration | Whether others can use you as a component | Infrastructure, protocols, developers | External calling contracts and call volume |
The practical common property: all are third-party verifiable, mostly on-chain.
Apply four questions to any partnership:
| Check | Question | If unanswered |
|---|---|---|
| Visible on-chain? | A corresponding contract, transaction, or address? | Perhaps only an announcement |
| Clickable in the product? | Can you find the entry point in their product? | Perhaps still on the roadmap |
| In their documentation? | Do their official docs mention it? | They may not consider it a partnership |
| Did a number change? | Which curve, by how much, starting when? | No business impact |
The industry's blunt but accurate name for partnerships answering none is announcement as delivery.
Announcements themselves have value for hiring, fundraising, and community mood. The problem is evaluating them as BD output. They are a partnership's byproduct, not the partnership.
Build a Model
Resource Network: Six Roles
Map the resources around a protocol into six roles:
- Chains and ecosystems
- Wallets and entry points
- Market making and liquidity
- Trading venues
- Foundations and funders
- Developers and integrators
Expand them. This table is the chapter's core; write it down:
| Role | What they have | What they want | What you offer | Smallest completed outcome |
|---|---|---|---|---|
| Chains and ecosystems | Users, developers, support, promotion | Active applications and real usage | Deployment and genuine transactions | Formal ecosystem inclusion |
| Wallets and entry points | Daily-used distribution placements | Asset safety, consistent UX, revenue | Stable product, clear permissions, revenue share | A live clickable entry point |
| Market making and liquidity | Capital, quoting, cross-venue inventory | Predictable returns and controlled risk | Fees, token loans, data, contract support | Continuous quoting on one pair |
| Trading venues | Users, price discovery, awareness | Volume, real projects, manageable compliance | Liquidity support, campaigns, disclosure | A live trading pair |
| Foundations and funders | Funding, support, endorsement, promotion | Ecosystem success and showcase cases | An operating project and citable data | A funded, public grant |
| Developers and integrators | Ability to integrate you into products | Stable interfaces, docs, predictability | Interfaces, examples, support, sometimes revenue share | An external contract begins calling |
Column four is most BD professionals' weakest because it requires understanding your product: depth, permissions, interface stability, and available data.
This is why BD appears in stage five: without liquidity from Chapter 15, permissions from Chapter 24, and revenue allocation from Chapter 26, column four stays blank. BD can then only discuss column one.
Exchange Model: Three Questions
Before the first email, answer:
1. What metric evaluates the counterparty? Their year-end number, not their vision.
2. Can I directly improve it? If yes, how? If no, find another angle.
3. If not, what is this partnership? Probably PR; execute and evaluate it as PR.The first question is the model's center and most often skipped.
Wallets measure retention and revenue; market makers measure risk-adjusted returns; foundations measure ecosystem projects and usage; venues measure volume and compliance risk; integrating developers may simply ask whether integration creates extra work.
Sending identical materials to all six roles is a common inefficient habit.
Prioritize by Dependence on Market Sentiment
BD resources are limited. A better ordering criterion than pursuing the biggest partner is:
| Priority | Work | Reason |
|---|---|---|
| First tier | Integrations, wallet entry points, developer access | Lasting effects independent of sentiment or campaign endings |
| Second tier | Market making, depth, venues | Clear effects requiring continued investment and favorable conditions |
| Third tier | Joint announcements, co-branded campaigns, conferences | Temporary effects highly dependent on attention |
In Chapter 28's funnel, tier one affects distribution with no expiry date; tier three affects attention, whose half-life is measured in days.
An exception: during bootstrapping, tier two often precedes tier one. Without depth, wallets and integrators stay away. Reach acceptable depth before pursuing distribution.
Proposal Structure
An effective proposal has four paragraphs within one screen:
Paragraph one: Who we are, one sentence with a verifiable number.
Not “leading,” but “X addresses completed Y transactions in
the past thirty days, verifiable here.”
Paragraph two: The specific action we want.
Not “explore cooperation,” but “add this route to your swap page.”
Paragraph three: Which of your metrics it improves, and why.
The letter's core and most commonly missing paragraph.
Paragraph four: What is already ready.
Interface docs, audit, testnet, contact, and schedule.Paragraph three cannot be outsourced to a template. It requires knowing the counterparty's evaluation, inferred from products, public materials, and past partnerships.
Paragraph four lowers their startup cost. Many partnerships are postponed indefinitely rather than rejected because preparation is burdensome. Do it beforehand and become a ready option rather than a request.
What It Is Called
Two parties each exchange something, resulting in a completed concrete action.
The concrete action is everything. Test it through on-chain visibility, clickable product access, documentation, and a changed metric.
With no answers, it is PR rather than a partnership. PR has real value; it simply needs different evaluation criteria.
Someone depositing assets in a pool, bearing price risk, and earning fees.
Chapter 15 explained those risks. For BD, they are businesspeople, not supporters. They decide by risk-adjusted returns. Your bargaining tools are fees, incentives, and lower risk through better data or predictable parameters.
Do not mistake them for community members. They follow returns, as the capital departing after incentives in Chapter 26 illustrates.
A professional institution continuously quoting both sides and earning spreads.
Distinguish it from a liquidity provider: providers are passive, depositing into formula-priced pools; market makers are active, adjusting quotes and managing inventory and risk.
Two common partnership structures are service fees for spread and depth commitments, and token loans with purchase options exercisable at a set price within a period.
Calculate the latter yourself. Costs hide in the option and increase with price. Before negotiating, tabulate what each party receives under several price scenarios. If you cannot, do not sign.
A token beginning to trade on a venue.
It brings price discovery and awareness, not product usage. Remind the team: buying your token does not mean using your protocol.
List all costs: fees, market-making assets, operations, and disclosure. Many terms are private, so seek first-hand accounts from teams that have done it.
Funding from an ecosystem, foundation, or protocol treasury for a project or specific action.
Usually a bundle of money, technical support, and endorsement, with the latter two often worth more.
Treat the application as a delivery plan: what you will do, the deliverable, deadline, and showcase value to their ecosystem.
Commitment is an implicit cost and should be chosen explicitly.
Hands-on
Choose a protocol live for at least six months with several partnership announcements, since you will test them.
Create six role categories and fill each.
| Role | Specific entity | Did it happen? | Verification |
|---|---|---|---|
| Chains and ecosystems | |||
| Wallets and entry points | |||
| Market making and liquidity | |||
| Trading venues | |||
| Foundations and funders | |||
| Developers and integrators |
Source priority: their product interface > their official docs > on-chain records > joint announcements. Announcements come last.
Test announcements individually.
List the past six months' partnerships and ask four questions for each:
| Announcement | Visible on-chain? | Clickable in product? | In their docs? | Changed metric? |
|---|---|---|---|---|
Column two is easiest and most effective: open their product and search yourself. If absent, it is absent.
Count announcements passing all four and passing none. This ratio measures the quality of actual BD work.
Check integrations: who calls the protocol?
This category is most directly answerable on-chain.
select
tx_from as caller,
count(*) as calls,
count(distinct tx_hash) as txs
from <platform event table>
where contract_address = <protocol main contract>
and block_time >= now() - interval '30' day
group by 1
order by 2 desc
limit 50Inspect top callers in an explorer and distinguish contracts from individuals. Contract callers are integrators; identify their products.
Often major sources of calls never appeared in an announcement, while prominently announced partners contribute zero calls.
Check liquidity: depth and slippage.
Find major pairs and record pool depth and slippage for a typical transaction.
Most interfaces display estimates when an amount is entered. Try small, medium, and large sizes and record each.
These three figures reveal actual liquidity performance, more accurately than market-making announcements.
Draw the map.
Place the protocol at the center, six roles around it. Label each connection:
Label: The specific entity
Thickness: Actual contribution: calls, depth, or share of user origins
Color: Verified / announcement only / unavailableLook for thick and dotted lines. Commonly, heavily announced connections are thinnest, while the thickest was never promoted.
Write three conclusions.
Strongest resource category: ______, supported by ______
Weakest category: ______, supported by ______
As its BD, next quarter I would prioritize: ______, because ______Ground the third in the priority table: which layer it affects and whether it depends on sentiment.
Use this map in two places: the ecosystem-position section of research, and your own first BD work plan.
AI Lab
The division of work is familiar: models can write structure but not the counterparty's motivation.
Their evaluation metric is not in public training data. Infer it from their product, materials, partnerships, and hiring. The model cannot supply this essential part for you.
Draft a four-paragraph partnership proposal, no longer than one screen.
Us: <protocol, purpose, one verifiable datapoint and source>
Them: <identity and which of the six roles>
Specific proposed action: <one sentence with a deliverable>
Paragraph one: Who we are, with a verifiable number and lookup location.
Paragraph two: The concrete action, deliverable, and timing.
Paragraph three: Which of their metrics this improves.
State their likely core metric, then how this advances it.
If unknown, write “I do not know”; do not invent it.
Paragraph four: Ready materials: docs, audits, test environment, contact, schedule.
Rules:
- Avoid “leading,” “revolutionary,” and “strategic partnership.”
- Make no promises we cannot fulfill.
- Invent no precedents or data; source every figure.
- If paragraph three is impossible, state the missing information.Go directly to paragraph three. The proposal succeeds or fails there.
Three possible results imply three actions:
| What it writes | Meaning | Your action |
|---|---|---|
| This gives your users more choices | Rephrasing our benefit | Rewrite completely |
| Your metric may be X; this improves X | An inference | Verify it |
| I do not know their metric | Honesty | Research it yourself |
The third is best: the prompt worked and your next action is clear.
Supply the paragraph through three steps:
- Study their product. Recent launches and homepage emphasis reveal priorities.
- Read public materials. Blogs, governance proposals, quarterly updates, and ecosystem goals.
- Inspect hiring. Underestimated evidence: who a team hires indicates what it plans to do.
Four common errors, ordered by danger:
- Calling our benefit theirs. Fluent wording hides it. Remove “your” and see whether the sentence praises us.
- Inventing precedents. Models readily claim integrations with leading wallets. If the counterparty discovers the fabrication, the partnership ends.
- Unfulfillable promises. Confirm shares, support response times, and data scope internally.
- Excessive length. Completeness is a weakness here. Beyond one screen, readers rarely reach past paragraph three.
Request versions for a wallet, market maker, and foundation. If paragraph three is nearly identical, the model has not considered the audience, the same failure as mass-mailing identical materials.
Verify these points yourself after using AI
- Is the opening verifiable number real or a placeholder? Have you checked it?
- Does paragraph two propose a concrete action or vague exploration without a deliverable?
- Most importantly, does paragraph three address their metrics or rephrase our benefits?
- Does it identify their actual evaluation metric? If not, do not send it
- Can we fulfill promises about revenue shares, data, or technical support?
- Has it invented existing partnerships? Check every claimed precedent
- Are the preparation materials in paragraph four actually ready?
- Does it exceed one screen? Extra length usually describes ourselves
Real-World Case
A popular wallet includes a protocol. New users by call source show a structural change: the new entry point becomes a major source, maintaining its share for months.
Compared with incentives, the campaign curve is a spike followed by a cliff (Chapter 28); this curve is a step.
A step does not expire unless the wallet removes the entry point.
This explains first-tier priority for integration. Purchased attention disappears; established distribution remains.
The barrier is mainly product quality: the wallet bears reputational responsibility and examines audits, permissions, and incidents. Half of BD's work here is driving those improvements internally.
A project lends tokens to a market maker, who quotes and receives an option to buy them at an agreed price during a period.
The project focuses on avoiding cash payment. But this is not free: above the option price, exercise effectively sells the tokens at that price. If prices remain low, tokens return and the project bears temporary liquidity costs and possible market effects.
The structure itself is common and legitimate. The problem is signing without calculating outcomes across price scenarios.
The lesson: BD must understand term structures. Convert uncertainty into a table of price ranges and each party's outcome. Do not sign if you cannot fill it, matching “not assessed” in Chapter 24.
A token lists on a new venue. Announcements, price movements, and community excitement follow.
Yet on-chain liquidity becomes thinner over the next weeks: resources move to the new order book, while passive pools receive no replacement.
There is another venue, but execution inside the protocol is worse.
Liquidity is finite and allocated across venues rather than automatically added. Chapter 18 explained that different venues do not ensure diversification. For BD, ask where resources come from for every new venue.
Evaluate listings through on-chain depth and slippage thirty days later, not announcement-day prices.
Rank contract callers over thirty days and inspect them. Often the largest contributors never appeared in partnership announcements.
They did not need negotiations: they read open documentation, coded, and integrated without contacting anyone. The third constraint in Chapter 27 becomes a gift.
Two practical implications follow.
Part of BD is lowering integration cost, not negotiating. Clear docs, complete examples, stable interfaces, and accessible support let integration happen by itself.
Regularly check who calls you. Unknown leading callers are excellent prospects: they already use you, so the conversation starts at step two.
Change One Variable
Half the bargaining tools disappear: token incentives, token-funded market making, and token listings.
The durable half becomes clearer. Partnerships without tokens depend on product usefulness or genuine volume you can provide.
This is a filter: partnerships still feasible under this constraint are usually real, with no token-price speculation motivating acceptance.
Typical priority is integrations and developers first, needing interfaces rather than tokens; ecosystem grants next, since ecosystems support pre-token projects; liquidity afterward.
Chapter 30 explains proving use without a token before deciding to issue one. BD implements this through integration and distribution first.
You give up other partnerships for greater investment. It can be worthwhile when their investment requires exclusivity to recover costs and is large enough.
Ask scope (category or all, one chain or all), duration (three months differs radically from three years), and verifiable commitments (priority promotion is vague; a specific homepage placement for six months is concrete).
The third matters most. Your sacrifice is certain; their investment is often vague. This asymmetry is the principal risk.
Tie exclusivity to delivery: continue only while verifiable metrics are met, otherwise terminate automatically. A trust issue becomes a contractual one.
The constraint is smaller than it seems: three roles barely depend on personal connections.
Developers and integrators want interfaces and docs; foundations and funders often have open applications judged on the project; chains and ecosystems actively seek projects.
Wallets, market makers, and venues rely more on trust, but their prerequisites are still product stability, depth, and credible permissions.
The best first quarter may therefore be writing integration docs, checking Chapter 24's ten risks, and finding existing users from call-source data, rather than collecting contacts. The last is particularly underrated.
Reports immediately look thinner: two or three lines, perhaps including no change.
But goals become verifiable, each with a curve and method; priorities reorder, announcements earning little credit; and cross-functional work increases, as integrations depend on product and security readiness.
The third is the biggest, least anticipated gain. Counting partnerships pushes BD toward work needing no internal coordination, often the least effective category.
The role may look unproductive in the short term. Surviving that period depends on the team's belief in first-tier outcomes.
Takeaway Questions
The concrete method is checking who calls you on-chain.
Leading contract callers are actual integrators. Unfamiliar ones are the best prospects—they already use you, so conversations start at step two. Most teams never check.
For BD: who bears the partnership's costs?
Hidden costs include purchase options, market-making assets for listings, ecosystem commitments, and opportunities lost to exclusivity. Explicitly recording each partnership's cost is an especially valuable habit.
This changes from studying others to building yourself: where does your liquidity come from, and why do providers stay?
Chapter 15 explained risk. Turn it into negotiable fees, incentives, and risk reductions. Remember they follow returns; good relationships alone do not retain them.
For BD: what incentivizes your partner?
Their year-end metric, not their vision. Identical materials assume identical incentives across six roles. That assumption is almost always wrong.
Chapter Check
Liquidity, distribution, and integration.
- Liquidity changes execution: measure depth and typical-trade slippage.
- Distribution changes access: inspect new-user curves by source.
- Integration changes component use: count calling contracts and volume.
They are third-party verifiable, mostly on-chain.
Test partnerships through on-chain evidence, clickable access, documentation, and changed numbers. No answers means PR rather than partnership.
PR benefits hiring, fundraising, and community mood; simply do not evaluate it as BD output.
It is the only paragraph about them; the others describe us.
It requires their evaluation metric, not publicly available as a direct answer. Infer it from their product, materials, and hiring.
Study the product, recent features and homepage priorities; read public materials, blogs and updates; inspect hiring, revealing future plans.
Remove “your” from paragraph three. If it becomes self-praise, it contributes nothing.
Their effects are lasting and independent of sentiment.
In Chapter 28's funnel, they affect distribution with a step-shaped curve, lasting until removed. Announcements affect attention with a short-lived spike.
Market making and venues are second tier: clear effects requiring continuing resources and favorable conditions.
Bootstrapping is an exception: second-tier depth often enables first-tier distribution. Reach acceptable depth first.
Make a table: price ranges and each party's outcomes.
It is not free. Above the option price, exercise sells your tokens at that price; below it, tokens return and you bear period costs and market effects.
The common, legitimate structure is not the problem; failing to calculate it is.
Do not sign if you cannot fill the table, matching the “not assessed” principle in Chapter 24. Treating unknowns as risk-free is an expensive habit.
BD needs financial and mechanism fundamentals, which is why the course places it after four foundational stages.
There is no standard answer. Check:
- Did you fill every category, or only announced ones?
- Is evidence from their product, documentation, on-chain records, or announcements? Announcements belong last.
- Did you inspect their product for the entry point? Absent means absent.
- Did you collect call-source data and inspect leading addresses?
- Did you record depth and slippage at three sizes?
- Did you test each announcement? How many passed all four checks or none?
Commonly, the most announced lines are thinnest and the thickest was never promoted. Actual value may lie somewhere even the protocol does not recognize.
Then draw the same map for your project. It reveals whom to contact and what to prioritize next quarter.
Key idea
BD connects liquidity, distribution, and integrations, not just names in an address book.