Web3 User Analytics¶

Traditional web analytics tools — Google Analytics, Mixpanel, Amplitude — tell you what users did on your site. They can't tell you anything meaningful about who they are, because in DeFi your users are pseudonymous wallets, not email addresses or Google accounts.

ChainAware's Web3 User Analytics turns every wallet connection into a rich behavioural profile. The moment a wallet connects to your protocol, you know their experience level, risk appetite, DeFi history, fraud risk, primary protocol usage, and which product category is most likely to convert them.

The Analytics Dashboard¶

ChainAware's analytics dashboard gives you a real-time view of your user base at the wallet level.

What the Dashboard Shows¶

Segment Distribution
What mix of wallet types is connecting to your protocol? Power Traders, Yield Farmers, DeFi Curious newcomers, Long-Term Holders, and Institutional wallets all have different conversion rates, different needs, and different messages that work for them. Knowing your mix tells you where to focus.

Experience Level Breakdown
Novice / Intermediate / Experienced / Veteran — how sophisticated is your actual audience? A protocol with 70% novice wallets needs fundamentally different onboarding than one with 70% veterans. Without this data, you're guessing.

Conversion by Segment
Which wallet types transact? Which don't? This is the most actionable metric in DeFi — and it's invisible without on-chain behavioural data. Once you know that Yield Farmers convert at 55% while DeFi Curious wallets convert at 8%, you know exactly where to invest your messaging and product effort.

Fraud and Bot Analysis
What proportion of your connections are non-human? Bots, farm wallets, and fraud addresses inflating your connection numbers look identical to real users in standard analytics. ChainAware surfaces them separately so you're not optimising for fake traffic.

Retention Cohorts
Which segments return? Which connect once and never come back? Understanding retention by wallet type enables targeted re-engagement campaigns focused on the segments worth winning back.

Protocol & Category Usage
What DeFi products has your audience used before — lending, DEX trading, yield farming, bridging, NFTs, governance? This maps your existing users to your product catalogue and surfaces which features each cohort is most likely to engage with.

Wallet Segments¶

When a wallet connects, ChainAware instantly classifies it into a behavioural segment based on its on-chain history across 14M+ profiles:

Power Trader¶

High transaction frequency, high volume, sophisticated protocol usage across multiple chains. Uses advanced features, sensitive to fees and execution speed. Converts on: technical performance claims, fee comparisons, API access, depth of liquidity.

Yield Farmer¶

Multi-protocol DeFi native, APY-optimised, moves capital efficiently between opportunities. Understands risk-adjusted returns. Converts on: yield comparisons, auto-compounding features, risk transparency, strategy guides.

DeFi Curious¶

Newer wallet, limited DeFi history, cautious transaction behaviour. First or second protocol engagement. Converts on: safety messaging, step-by-step guidance, small initial commitment CTAs, educational content.

Long-Term Holder¶

Low transaction frequency, accumulation-focused, holds through volatility. Prioritises security over optimisation. Converts on: trust signals, security credentials, simple staking, low-maintenance yield.

Institutional / Whale¶

Very high wallet value, complex portfolio, compliance-conscious, low transaction frequency. Converts on: compliance credentials, dedicated account management, large liquidity depth, formal onboarding.

Dormant / Inactive¶

Wallets with no meaningful recent activity. May have been active previously. Re-engages on: "what changed while you were away" messaging, specific new features, concrete yield numbers.

Ten Behavioural Cohorts (Advanced Segmentation)¶

For deeper analysis, ChainAware segments wallets into ten distinct behavioural cohorts using the chainaware-cohort-analyzer agent:

Cohort	Signal	Engagement Strategy
Power DeFi User	Heavy multi-protocol interaction	Advanced features, governance, integrations
Yield Farmer	Staking, vaults, LP positions	APY comparisons, auto-compound, risk clarity
NFT Collector	OpenSea, Blur, high NFT volume	NFT-backed yield, fractionalization
Multi-Chain Explorer	Bridge activity, 4+ chains	Cross-chain features, unified dashboard
Active Trader	Frequent DEX swaps	Fee tiers, execution speed, liquidity depth
Casual User	Low frequency, small amounts	Simplicity, safety, one-click flows
Dormant/Inactive	No activity 90+ days	Win-back with concrete value proposition
New/Fresh	<30 days on-chain	Guided onboarding, education first
Excluded (Fraud/Bot)	Fraud flags, scripted patterns	Remove from targeting entirely

The cohort distribution of your user base tells you more about your protocol's health than any traffic metric. A user base trending toward Power DeFi Users indicates growing sophistication and loyalty. A base trending toward New/Fresh wallets suggests you're winning acquisition but losing retention.

Key Metrics the Dashboard Surfaces¶

Audience Quality Score¶

A composite score (0–100) measuring the overall sophistication and legitimacy of your connecting wallets. Tracks week-over-week to show whether your acquisition is attracting higher or lower quality users over time.

Fraud Rate¶

The percentage of wallet connections flagged as bots, fraud addresses, or farm wallets. Industry average is 15–25%. Protocols with high fraud rates are wasting significant marketing budget on non-convertible traffic.

Segment Conversion Rates¶

Connect-to-transact rates broken down by segment. The gap between your best-converting segment and your worst-converting segment is your personalisation opportunity. Most protocols see a 5–10x difference across segments.

Experience Distribution¶

Novice / Intermediate / Experienced / Veteran breakdown. Shifts in this distribution are leading indicators of whether your protocol is attracting or retaining quality users.

Integration¶

Google Tag Manager (No-Code)¶

The fastest path — no backend engineering required. Add the ChainAware pixel to your existing GTM container and it fires on wallet connection events, returning the full behavioural profile to your dataLayer.

Setup:
1. Add ChainAware's GTM tag to your container
2. Set the trigger to your wallet connect event
3. ChainAware returns wallet segment, experience level, fraud score, and behavioural profile to the dataLayer
4. Use dataLayer variables in any existing GTM tag — personalise copy, fire different pixels, suppress certain users from ads

Setup time: under 30 minutes. This is the integration used by SmartCredit.io to achieve 8× engagement improvement.

REST API¶

Full programmatic integration for custom stacks:

GET /v1/behaviour/{wallet_address}?chain=ethereum

Response:
{
  "segment": "YIELD_FARMER",
  "experience_level": "EXPERIENCED",
  "risk_profile": "MODERATE",
  "fraud_score": 0.04,
  "primary_categories": ["defi_lending", "dex_trading"],
  "top_protocols": ["Aave", "Uniswap", "Curve"],
  "onboarding_route": "POWER_USER",
  "recommended_messaging": "yield_optimisation"
}

Prediction MCP¶

For protocols already building with AI agents, the predictive_behaviour tool in the Prediction MCP exposes the full behavioural profile to any Claude agent — enabling autonomous decisions about how to present the UI, what to recommend, and how to message each wallet.

From Analytics to Action¶

Analytics alone is data. The power of Web3 User Analytics comes from acting on it in real time:

Instant personalisation — use segment data at wallet connect to show different UI copy, feature highlights, and CTAs to different wallet types. Veterans skip the tutorial. Beginners see step-by-step guidance.

Personalised messaging — generate hyper-relevant on-chain or off-chain messages calibrated to each wallet's exact behaviour profile using the chainaware-wallet-marketer agent.

1:1 targeting — deliver different ad creatives and on-chain messages to different segments. Suppress already-converted wallets from campaigns. Exclude fraud and bots from paid traffic entirely.

Re-engagement campaigns — identify dormant wallets by segment and build win-back sequences tailored to what that cohort responds to.

The full workflow — from analytics to segmentation to personalised action — is covered in 1:1 Targeting and DeFi Growth Tech.

Case Study: SmartCredit.io¶

SmartCredit.io integrated Web3 User Analytics via GTM in under 30 minutes. After segmenting their audience by on-chain behaviour and delivering personalised messages to each wallet type, results over six months:

8× increase in user engagement
2× improvement in primary conversions (connects to active transactions)
Clear attribution — visible which segments converted and at what rate

Read the Full Case Study →