How ICODA Delivered 48% of All New Stakers Through Bitcoin DeFi Acquisition

What RootstockCollective Needed — and Why It’s a Different Brief Entirely

RootstockCollective didn’t need impressions. It needed stakers — real ones, with Bitcoin-layer history, willing to commit capital.

BTC-native DeFi users are the hardest audience in crypto to acquire:

• They’ve watched too many “yield on your Bitcoin” projects collapse
• They make allocation decisions inside communities they already trust — not from their Twitter feed
• Mass-reach campaigns built for Ethereum audiences actively repel them

The mandate: deliver verifiable staker growth with full on-chain attribution, in a flat market, with zero tolerance for Sybil contamination.

Project Goals

1. Acquire verified, high-intent stakers

wallets with active Bitcoin-layer history willing to commit capital, not airdrop hunters who exit on day one

2. Drive on-chain TVL signals

conversion counted only when a wallet executed a staking transaction. Form fills don’t count in Bitcoin DeFi

3. Double organic onboarding velocity

without lowering quality or inflating the funnel with Sybil wallets that poison TVL dat

4. Own the search landscape for Bitcoin DeFi

Featured Snippet, AI Overview, ChatGPT citations, and #1 Google rankings — all from one content strategy

The Strategy: Two Engines Running in Parallel

Engine 01 — The “Audience Dragging” Discord Funnel

• 15 curated Discord ecosystems — chosen for on-chain activity, not follower count
• Co-incentive structure: partner communities had a real reason to send members to RootstockCollective
• 100% manual Sybil verification — every wallet cross-checked against on-chain history before counting
• Unique attribution link per partner — knew exactly which Discord drove which wallet, reallocated mid-campaign

🔥 Result: 220 verified stakers

Engine 02 — PR-Driven Search & AI Dominance

• Content built around BTC-native objections: custody, merge-mining security, yield mechanics
• PR assets timed to on-chain milestones — hard data for media, fuel for the content graph
• Featured Snippet capture + Google AI Overview + ChatGPT citations — all from one content strategy
• SERP positions monitored weekly, publication calendar adjusted in real time

🔥 Result: #1 Google · Featured Snippet · ChatGPT

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Why Manual Sybil Verification Changed Everything

In Bitcoin DeFi, data quality is the product. One multi-wallet farm:

• Inflates staker count — looks good in a report, destroys TVL signal
• Poisons attribution data — you can’t tell what’s working if the funnel is full of bots
• Erases the signal value of 50 genuine participants in a single sweep

Every wallet ICODA attributed went through manual on-chain cross-check before being counted. No exceptions, no shortcuts. This is why the 220 number means something — and why it’s worth more than 2,000 unverified leads from a broadcast campaign.

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Owning the Bitcoin DeFi Search Landscape

While the Discord funnel was converting stakers, a parallel operation was running — making RootstockCollective the only answer a user sees when searching anything about Bitcoin DeFi staking. Not just ranking, but occupying every surface: Google organic, Featured Snippet, AI Overview, and ChatGPT citations.

Content That Works for a BTC-Native Audience

Standard DeFi content fails here. BTC-native users aren’t reading for inspiration — they want specifics: how PowPeg works, what the difference between rBTC and native BTC actually is, why merge-mining isn’t a bridge or a custodial solution.

ICODA built content around the real objections this audience has:

• Merge-mining mechanics explained without oversimplification
• Step-by-step staking guides — wallet-connect entry, no KYC, no CEX friction
• PR assets tied to on-chain milestones, giving media factual hooks to publish — not just press releases

The result: a single article on Ventureburn for the query “how to stake BTC on Rootstock” appeared in three places simultaneously.

Google Featured Snippet — RootstockCollective Listed as #1

For the query “best bitcoin defi projects for backers,” RootstockCollective didn’t just rank — it captured the Featured Snippet, with RootstockCollective named as the #1 platform where you can stake and fund builders.

ChatGPT Cites ICODA Content as Its Primary Source

When users ask ChatGPT about staking on RootstockCollective, the model responds — and in the sources panel, Ventureburn appears as the primary reference. Content placed as part of this campaign became part of the knowledge base LLMs use to answer Bitcoin DeFi questions.

💡 Three visibility layers from one content strategy: Google organic, Featured Snippet, and ChatGPT citations. This is what search dominance looks like in 2025 — and it keeps compounding after the campaign budget stops.

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Results: On-Chain Proof, Not Dashboard Numbers

The Before/After isn’t a slide — it’s the actual smart contract on the blockchain explorer.

Campaign Performance Summary

KPI	Result
ICODA direct contribution	220 stakers — 48.3% of total
Total new ecosystem stakers	455
Organic growth multiplier	~2x vs baseline
Ecosystem partnerships activated	15 Discord communities
Sybil verification	100% manual, on-chain
Live participants growth	60,000+ (3,650% increase)
Google ranking — “Bitcoin DeFi Staking”	#1
Featured Snippet captured	“Best Bitcoin DeFi Projects for Backers”
AI visibility	ChatGPT · Google AI Overview

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Conclusion

60,000 participants entered the funnel. 220 staked on-chain. Nearly half of everything Rootstock’s ecosystem gained across Phases 1 & 2 came from a single, attributable campaign — and every number in that sentence is verifiable on the blockchain, not in a dashboard.

The results speak for themselves: STRIF holders grew from 1,095 to 1,550. Live campaign participants surged 3,650% to 60,000+. The “Audience Dragging” funnel delivered 220 manually verified stakers — 48.3% of total ecosystem growth — with 100% Sybil-resistant verification and unique attribution per each of the 15 Discord partners. Organic onboarding velocity doubled. And running in parallel, the PR-driven content strategy secured the #1 Google ranking for “Bitcoin DeFi Staking,” captured the Featured Snippet for “best bitcoin defi projects for backers,” placed RootstockCollective content inside Google AI Overview, and got cited by ChatGPT as the primary source when users ask how to stake BTC on RootstockCollective.

That’s not a campaign that delivered results and stopped. The on-chain stakers are permanent. The search positions are live. The AI citations are indexed. Every new user who searches Bitcoin DeFi staking today gets routed toward RootstockCollective content — long after the campaign budget closed.

🚀 In a market full of vanity metrics, 220 on-chain stakers and a #1 Google ranking don’t need a disclaimer.

🎯 Ready to Launch Your Token the Right Way?

Let’s build a crypto KOL marketing strategy that goes beyond hype

Talk to Our DeFi Team

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Frequently Asked Questions

ICODA is publishing their own case study. How do I verify any of this actually happened?

The on-chain data is public. Go check it. STRIF holder counts on the Rootstock blockchain explorer moved from 1,095 to 1,550. That’s a live smart contract, not a dashboard screenshot. Wallet counts on a public ledger can’t be faked the way impressions in an ad report can. The only thing you take on trust is ICODA’s attribution methodology, which assigns wallets to specific Discord sources. The total growth figure is independently verifiable by anyone with a blockchain explorer.

Manual Sybil verification sounds good in a pitch deck. What does it actually mean in practice?

It means cross-checking every attributed wallet against on-chain history before it enters the count. They look at wallet age, prior transaction activity on Bitcoin-layer chains, and patterns that suggest one person running multiple addresses. An address created the day the campaign launched with zero prior activity gets flagged and dropped. This is slow work, which is why most campaigns skip it and report inflated numbers instead. The cost is time. What you get back is a count that actually reflects people with existing BTC positions rather than airdrop hunters who spun up fresh wallets for points.

Why would a real BTC holder even be in a Discord? Isn’t that audience full of degens, not actual HODLers?

The channel isn’t the problem; the targeting criteria are what matter. ICODA didn’t hit generic crypto Discords. They chose 15 communities based on the on-chain activity of actual members, not follower counts. A 3,000-member server where 40% of members have active Bitcoin-layer transaction history is a completely different audience than a 100,000-member hype server. BTC-native users are on Discord; they just congregate in different places than ETH retail does. The unique attribution links per partner meant underperforming communities could be dropped mid-campaign rather than waiting for the final report.

How does ICODA prove their Discord campaign drove those specific wallets and not just organic growth that happened at the same time?

Each Discord partner got a unique attribution link. Every wallet that came through that link is tagged to that source. When a wallet executes a staking transaction, ICODA traces it back to the specific Discord that sent it. That’s what lets them say “15 Discord communities” with actual numbers behind each one and reallocate budget mid-campaign to channels that are converting. Organic growth ran separately and accounts for the other 235 of the 455 new stakers. That separation is what makes 220 mean something rather than being absorbed into a larger unattributed number.

The article claims ChatGPT citations as a marketing win. Isn’t that just SEO people inventing a new vanity metric?

ChatGPT citations matter when the conversion event requires research before someone commits capital. A BTC holder new to Rootstock isn’t clicking an ad. They’re asking an LLM “how does staking on Rootstock work” or “is RootstockCollective legit.” If the answer cites your content and describes your protocol accurately, that’s word-of-mouth at scale with no ongoing cost after the article goes up. The vanity version is getting cited for queries nobody types. What ICODA built here is different: the Ventureburn placement answers the specific question someone asks right before they decide whether to stake.

The #1 Google ranking — how long does that hold once the campaign budget stops?

Rankings built on actual published content with real domain authority don’t disappear when the budget closes. The Ventureburn and FinanceFeeds placements are indexed articles on established publications, and those hold their positions as long as nothing better comes along for the same queries. Featured Snippets and AI Overviews work the same way: they update when a stronger answer shows up, not when someone stops paying. That’s also the real risk. If a competitor publishes more thorough content on the same keywords, positions shift. The compounding advantage is real, but it assumes the protocol stays worth writing about and the existing content doesn’t get outranked.