Executive Summary
Animoca Minds is entering an already saturated AI market with a genuinely differentiated product, yet its go-to-market execution is currently failing to translate that advantage into traction. The issue is not the product itself, but how it is being brought to market across the entire funnel. There is minimal awareness, meaning the product is not cutting through the noise or reaching the right audiences. Where attention does exist, there is a lack of clarity, users struggle to understand what the product actually does or why it matters. As a result, interest does not convert into meaningful usage, and curiosity drops off before action is taken. Underpinning all of this is inconsistent and overly abstract messaging, which dilutes positioning and leaves the market without a clear, compelling reason to engage.
The result is predictable:
Users see it, don't fully get it, try it lightly, and leave.
This is not a product problem.
It is a positioning, messaging, and conversion system problem.
AI Minds (Protocol Research)
What We See
The challenge is not just low traction.
It is misaligned communication across the entire funnel.
1. Awareness Problem: No Cut-Through
Animoca Minds is competing in a saturated AI narrative where:
- "AI agents" means nothing to most users
- Messaging blends into every other AI product
- There is no sharp, memorable hook
Result:
- Low recall
- Weak differentiation
- Poor top-of-funnel performance
2. Clarity Problem: Too Abstract
Even when users land:
- The product feels conceptual, not practical
- Benefits are implied, not explicit
- No clear "this is what it does for you today"
Users are left asking:
"What do I actually use this for?"
3. Conversion Problem: No Defined Path
There is no structured journey from:
Interest → Setup → Value → Habit
Instead:
- Users experiment briefly
- No immediate payoff
- No reason to return
Result:
- High drop-off post-signup
- Low activation depth
- No retention loop
4. Messaging Problem: Confusion at Every Layer
Current messaging is:
- Too broad ("AI agents", "always-on")
- Too technical for mainstream users
- Not outcome-driven
It does not answer:
- What is this?
- Why should I care?
- What do I get from it today?
Implication
Without fixing these four issues:
- More distribution will not fix growth
- More features will not fix adoption
- More content will not fix conversion
You will scale confusion, not usage.
Opportunity
The opportunity is not to "market harder".
It is to simplify, clarify, and operationalize the product into something immediately understandable and usable.
Our Job
Make Animoca Minds simple to understand, obvious to use, and immediate in value, then build a structured system that converts this clarity into consistent engagement and sustained usage over time.
Solution Framework
1. Simplify the Product (Clarity First)
Problem: Too abstract
Solution: Reduce to clear, tangible use cases
Shift from:
"AI agent platform"
To:
"AI that does [specific job] for you every day"
Examples:
- "Your AI that finds crypto opportunities daily"
- "Your AI that runs research while you sleep"
- "Your AI that manages your workflows"
One agent = one job = one outcome
2. Fix the Narrative (Awareness Layer)
Problem: No cut-through
Solution: Build a sharp, repeatable narrative
Core message:
"Stop prompting. Start delegating."
Supporting:
- "Your AI works while you don't"
- "Deploy your first AI operator in 60 seconds"
- "This isn't ChatGPT. It runs tasks for you"
Focus on contrast and simplicity
3. Make It Obvious to Use (Conversion Layer)
Problem: No clear starting point
Solution: Pre-built, outcome-driven entry points
Replace:
"Create an agent"
With:
"Pick what you want your AI to do"
- Find alpha
- Do research
- Automate tasks
Remove decision friction entirely
4. Compress Time-to-Value (Activation Layer)
Problem: No immediate payoff
Solution: Force early success
- First output within 24 hours
- Pre-configured agents
- Guided onboarding
User must see value instantly or they churn
5. Build a Conversion Formula (Repeatable System)
This is the key shift.
Every user flow should follow:
- Clear job → "What this AI does"
- Immediate output → "What it produced"
- Reinforced value → "Why this matters"
- Next action → "Make it better / do more"
6. Create Habit Loops (Retention Layer)
Problem: No reason to return
Solution: Continuous value delivery
- Daily: "Your AI did X today"
- Weekly: performance summaries
- Progressive unlocks
Move from usage → reliance
Execution Plan
Workflow executed across two months so you can see exactly what is running and when.
Objectives & KPI's
Awareness
Conversion
Retention
KPIs
* These figures are directional benchmarks only. Actual results may vary depending on market conditions, product readiness, campaign performance, and Company participation.
User Acquisition Strategy
Loyalty Program Launch
Loyalty Program LaunchOpen the points to Credit Pack economy publicly. Every onboarding action earns points. Points redeem for 20, 50, 100, or 200 Cognition Credit Packs that fuel the user's actual Mind. The reward is the product itself, which makes activation and retention the same motion.
- Whitelabel loyalty layer goes live with full task tree
- Tasks tiered across awareness, activation, retention, advocacy
- Credit Pack shop redemption tied to real Mind usage
- Live leaderboard for top earning loyalty profiles
Collaborations via Alphabot
Collaborations via AlphabotOnboard 200+ collaboration partners through Alphabot across a mix of Alpha Groups and web3 communities. Alphabot runs the full pre-launch giveaway flow end to end: entries, task verification, and winner selection, all coordinated across partner communities to build awareness.
- Identify and confirm 200+ collaboration partners
- Mix of Alpha Groups and Web3 Communities
- Entry tasks: raid posts, share alpha calls, attend AMAs
Broadcast, Clipping and UGC Content
Broadcast, Clipping and UGC ContentBuild a content engine that runs on real trader activity. The goal is to create shareable moments that market the protocol organically without it looking like marketing.
- Broadcast: Coordinated Animoca Minds across all channels
- Clipping: Short-form video of key usage of agents and skills
- UGC: Users share agent insights, use cases, and how it helps them and their circles.
Distribution Strategy
Core Engine:
Alpha Groups & Web3 Communities 'The Leverage Layer'
Activate 200+ communities through a structured giveaway campaign, turning alpha groups and web3 communities into coordinated demand drivers. Alphabot underpins distribution, gating access and validating participation.
Tasks are designed to drive market presence: coordinated posting, alpha dissemination, and AMA participation.
- Alphabot giveaway infra
- Post raiding for reach
- Alpha calls in group chats
- Community AMAs / Spaces
- Tweet amplification tasks
- 200+ targeted communities (Per Activation)
Alphabot: The Coordination Engine
Alphabot acts as the orchestration layer across all partner communities, standardising participation through task verification, entry gating, reward allocation, and performance tracking. The result is a clean, scalable system where incentives and actions are directly measurable. Read the Alphabot Docs →
Loyalty as a Conversion Engine
The loyalty program is not a side incentive. It is the core conversion mechanic and the bridge between awareness and active product usage. Tasks pull users from social-only engagement into the product. Points convert into Credit Packs that fuel actual Mind usage. The reward currency is the product itself, every redeemed Credit Pack creates an active user.
Loyalty Program Architecture
Why this works: the points map directly to product depth
Every task tier maps to a real funnel stage. Awareness tasks are cheap and high-frequency. Activation tasks reward the moment a user becomes a real product user. Retention tasks compound on daily product use, which is the only metric that matters for an always-on agent. Advocacy tasks turn power users into distribution. The Credit Pack Shop is the genius layer, Credits are the actual fuel of the product. Redeeming points for Credits keeps users inside the loop, deepens their Mind's memory, and turns the loyalty program into a self-funding flywheel rather than a giveaway.
Reward paid subscribers with bonus Credits stacked on top of every Cognition tier during the launch window. Bigger tiers get bigger bonuses, mirroring the Stripe pricing structure on Animoca Minds and pulling users toward the Recommended plan.
* Limited time launch offer. Applies to monthly subscriptions and one-time purchases. Bonus Credits delivered on first billing cycle.
Investment Bundle
All-inclusive, excluding loyalty platform.
What's Included
- Distribution to 200+ web3 native communities
- Short-form content creation & distribution
- Project Management
- Strategic advisory
Terms
- 2-month minimum commitment
- Transitions to a month-to-month arrangement after Month 2
- First month payable upfront on signing
- All subsequent monthly fees are due in advance at the start of each billing cycle
- External ad spend settled directly by Animoca Team
Case Studies
dYdX
GROWTH- 100M+ in direct volume generated < 10 weeks
- 600M+ Volume generated through B2B Partnerships
- From 8% to 32% user retention rate
- Pocket Pro bot launch support
- Referral / Ambassador program initiated
NitroGraph
GROWTH- Activated 800+ token-gated communities
- 2M Onchain transactions < 4 weeks
- 1.5M+ Wallets Connected
- 800K+ Agentic identities minted < 6 weeks
- Rolled out a high-leverage B2B partnership strategy
Previous Campaigns by CoConnect
View our go-to-market case studies across DeFi, trading, and Web3 infrastructure. Real results from real campaigns, with on-chain proof where available.
CoConnect is a hybrid incubator–accelerator for on-chain teams, combining strategic incubation with hands-on execution. We embed alongside founders from early traction through post-TGE to drive user acquisition, liquidity, and ecosystem growth.
Our focus is on building compounding growth systems that convert attention into TVL, trading volume, and retained users, while shaping positioning to support both a high-impact launch and durable, post-TGE growth.