Growth¶
DeFi protocols face a conversion problem that no amount of paid acquisition solves: the majority of wallets that connect never execute a single transaction. ChainAware's growth stack fixes this at the wallet level, in real time, without relying on identity data — through three deployment paths that fit any team and any stack.
Connect-to-transact rate
Industry baseline
Engagement uplift (SmartCredit.io)
Wallet profiling latency
The Problem: 90% of Connected Wallets Never Transact¶
A wallet connects to your protocol — genuine intent demonstrated. Then nothing. No transaction, no return visit, no engagement.
This happens 90% of the time across DeFi. The reason is not that users are uninterested. It's that different wallets want fundamentally different things, and a generic one-size-fits-all experience serves almost no one well.
A seasoned yield farmer wants APY data, strategy depth, and protocol reliability signals. A DeFi newcomer wants safety messaging, a clear starting point, and low-commitment first steps. A power trader wants liquidity depth, fees, and execution speed. Showing all three the same landing experience means you're relevant to none of them.
ChainAware identifies what each wallet is — and gives you three ways to act on that.
Three Ways to Deploy¶
| Approach | Best for | Setup time | Engineering required |
|---|---|---|---|
| Growth Agents via GTM | Personalised on-site CTAs & messaging | 30 min | None |
| Prediction MCP | Custom AI agent workflows | Hours | Yes — your own prompts |
| 31 Ready-made Agents | Drop-in AI agent library | Minutes | None |
Approach 1: Growth Agents via Google Tag Manager¶
The fastest path to wallet-level personalisation. No backend engineering. No API integration. The entry point is the ChainAware Pixel — a tag you install once in your GTM container that handles all Web3 wallet connect tracking and analytics automatically.
How It Works¶
- Add the ChainAware Pixel tag to your GTM container (one Custom HTML tag, fires on All Pages)
- The pixel automatically detects wallet connect events across all major wallet libraries — no changes to your dApp code
- ChainAware profiles the connecting wallet against 14M+ behavioural records in under 100ms and pushes segment data to your GTM data layer
- Use GTM data layer variables in your existing tags to personalise content, CTAs, banners, and flows
Setup time: under 30 minutes. This is the integration SmartCredit.io used to achieve 8x engagement.
What Gets Personalised¶
On-connect CTAs — the call-to-action shown at wallet connect is written specifically for this wallet's segment. A Power Trader gets fee-tier messaging. A DeFi newcomer gets a safety-first guided start. A Yield Farmer gets your best APY in the first three words.
Banner personalisation — show different creative to different wallet types in the same session, without any code changes. Swap headline copy, hero images, and feature highlights per segment.
Experience-based routing — skip onboarding for expert wallets entirely; route newcomers into a guided simplified flow. Veteran wallets get fast-tracked to the power features they're looking for.
Re-engagement triggers — detect when a wallet connects but does not transact within a session, and automatically fire a re-engagement sequence through your existing GTM setup.
Campaign suppression — exclude already-converted wallets and fraud-flagged addresses from retargeting and paid campaigns, reducing wasted spend.
Wallet Behavioural Segments¶
At wallet connect, ChainAware classifies every wallet across 14M+ behavioural profiles:
| Segment | Profile | Wants | Responds To |
|---|---|---|---|
| Power Trader | High-frequency, high-volume, sophisticated | Deep liquidity, low fees, fast execution, API access | Performance metrics, fee comparisons, advanced tooling |
| Yield Farmer | DeFi-native, APY-optimised, capital-efficient | Best risk-adjusted yield, protocol reliability | Yield comparisons, auto-compound features, strategy guides |
| DeFi Curious | Newer wallet, limited DeFi history, cautious | Safety, simplicity, low initial commitment | Educational content, guided flows, trust signals |
| Long-Term Holder | Low frequency, accumulation-focused | Reliability, staking, no complexity | Security credentials, simple staking UX, long-term messaging |
| Institutional / Whale | Very high value, complex portfolio | Compliance, large liquidity depth, dedicated support | Compliance credentials, account management, direct contact |
Each wallet is also scored for:
- Experience level (0–100) — beginner through expert
- Predicted next action — high / medium / low probability for trading, staking, bridging, NFT activity
- Protocol usage history — which DeFi protocols they already use, and how actively
The Numbers¶
At 10,000 monthly wallet connections:
| Without ChainAware | With ChainAware | |
|---|---|---|
| Transacting users | ~1,000 (10%) | 4,000–6,000 (40–60%) |
| Treasury efficiency | baseline | 4–6x improvement |
Approach 2: Prediction MCP¶
For teams building their own AI agent workflows. The Prediction MCP gives you direct programmatic access to ChainAware's wallet intelligence — and you write the prompts, the logic, and the actions yourself.
What It Is¶
The Prediction MCP is a Model Context Protocol server that exposes six tools to any MCP-compatible AI agent (Claude, GPT, or any agent framework):
| Tool | What It Returns |
|---|---|
predictive_behaviour |
Full wallet behavioural profile — segment, experience level, DeFi categories, intent scores |
predictive_fraud |
Fraud risk score + red flags for any wallet |
predictive_rug_pull |
Rug pull risk for token contracts and LP pools |
credit_score |
AI-driven crypto trust score (1–9) for lending and credit decisions |
token_rank_list |
Ranked token list by holder community quality |
token_rank_single |
Deep holder analysis for a single token |
Why Use It for Growth¶
The predictive_behaviour tool is the core growth signal. It returns everything you need to make a personalised decision — what kind of wallet this is, how experienced they are, what DeFi products they use, what their predicted next action is, and what risk profile they carry.
You then write the prompt that turns that data into the action your platform needs:
You are a growth agent for [your protocol].
A wallet just connected: {address} on {network}.
Call predictive_behaviour to profile them.
Based on the result:
- If they are a veteran yield farmer → show them our Pro Vault CTA
- If they are a new wallet → trigger the guided onboarding flow
- If they are a whale → flag for immediate VIP outreach
- If fraud score > 0.6 → suppress from all campaigns
Integration¶
claude mcp add --transport sse chainaware-behavioral-prediction \
https://prediction.mcp.chainaware.ai/sse --header "X-API-Key: YOUR_KEY"
Get your API key at chainaware.ai/pricing.
Full Prediction MCP Documentation →
Approach 3: 31 Ready-made Agents¶
If you want to skip writing your own agent logic entirely, ChainAware ships 31 pre-built Claude Code subagents that wrap the MCP tools with focused prompts. Clone the repo, drop the agents into your project, and start using them immediately.
git clone https://github.com/ChainAware/behavioral-prediction-mcp.git
cp -r behavioral-prediction-mcp/.claude/agents/ .claude/agents/
Growth & Marketing Agents¶
| Agent | What It Does |
|---|---|
| chainaware-wallet-marketer | Generates one hyper-personalised ≤20-word message for any wallet — a veteran yield farmer gets a different message than a casual NFT buyer |
| chainaware-platform-greeter | Writes a context-aware welcome message when a wallet connects to your specific platform type (DEX, lending, yield, NFT, launchpad, etc.) |
| chainaware-upsell-advisor | Identifies the best upsell opportunity for an existing user — scores upgrade readiness 0–100, recommends the exact next product, sets the trigger event |
| chainaware-lead-scorer | Qualifies a wallet as a sales lead — Hot / Warm / Cold / Dead tier with conversion probability and recommended outreach angle |
| chainaware-cohort-analyzer | Segments a batch of wallets into behavioural cohorts (Power DeFi, Yield Farmer, NFT Collector, Active Trader, Dormant, etc.) with per-cohort engagement playbooks |
| chainaware-marketing-director | The orchestrator — takes a wallet list and campaign goal, delegates to all the specialist agents, and returns a complete Marketing Campaign Brief |
DeFi Intelligence Agents (Growth-relevant)¶
| Agent | What It Does |
|---|---|
| chainaware-onboarding-router | Routes each connecting wallet to the right onboarding flow — skip for veterans, guided for newcomers, VIP for whales |
| chainaware-whale-detector | Classifies wallets into Mega Whale / Whale / Emerging Whale / Retail tiers — flags who needs immediate VIP treatment |
| chainaware-defi-advisor | Recommends the DeFi products most likely to resonate with a wallet's behaviour profile |
| chainaware-reputation-scorer | Returns a numeric reputation score (0–4,000) — useful for tiered access, loyalty programmes, and reward prioritisation |
| chainaware-wallet-ranker | Global experience rank and leaderboard placement — useful for gamified retention |
Example: Full Campaign in One Prompt¶
Plan a re-engagement campaign for these 500 wallets.
Goal: increase TVL from existing users.
Platform: our DeFi lending protocol on Ethereum.
[wallet list]
The chainaware-marketing-director agent will return a complete brief covering audience quality score, cohort breakdown, hot lead list with TVL potential, whale roster, per-cohort message playbook, upsell targets, and onboarding route allocation — in a single output.
All 31 Ready-made Agents → Growth & Marketing Agents →
Web3 User Analytics¶
Before running any campaign, understand who is actually connecting. ChainAware's analytics layer answers the questions most DeFi protocols can't:
- Segment distribution — what mix of Power Traders, Yield Farmers, and newcomers is connecting?
- Experience level breakdown — how sophisticated is your current audience?
- Conversion by segment — which wallet types transact? Which churn? Which never return?
- Fraud and bot proportion — what share of your connections are non-human?
- Cohort retention curves — track re-engagement rates by segment over time
Case Study: SmartCredit.io¶
SmartCredit.io, a DeFi lending platform, integrated ChainAware's Growth Agents via Google Tag Manager in under 30 minutes. By segmenting connecting wallets by behaviour and delivering personalised on-chain messages to each segment, they achieved in six months:
- 8x increase in user engagement
- 2x improvement in primary conversions
- Full attribution visibility — which wallet segments convert and why
Further Reading¶
- DeFi Onboarding in 2026: Why 90% of Connected Wallets Never Transact
- Web3 User Segmentation & Behavioral Analytics for DApp Growth
- Why Personalization Is the Next Big Thing for AI Agents
- Web3 Growth Platforms Compared 2026
Book a Growth Demo → Growth Agents Deep Dive →
See also: Compliance | Analytics | Web3 User Acquisition Use Case