On-chain Marketing Analytics¶

The activation pipeline: turn wallet behavioral signals into personalized growth campaigns at scale - intent scoring, churn detection, and 1:1 LLM messaging per wallet.

For the analytics dashboard - seeing who is connecting, segment distribution, and cohort metrics - see Web3 User Analytics.

23M+
Wallet Personas

8
Chains Covered

2yr+
Pair History Depth

1:1
LLM Personalization per Wallet

The Pipeline¶

Step 01 - Wallet Ingestion
Connect a wallet list, contract address book, or live on-chain event feed from your protocol.

Step 02 - Behavioral Scoring
Each wallet is scored for DeFi experience, intent (borrow / yield / trade), and risk tolerance.

Step 03 - Segmentation
Wallets cluster into actionable growth segments - churn risk, win-back, high-value, exploratory.

Step 04 - Personalized Activation
Growth Agents generate 1:1 messaging calibrated to each wallet's sophistication and intent.

Core Capabilities¶

Intent Scoring¶

Classifies wallets by product intent - lending, yield-seeking, trading, or exploratory - so growth teams target the right CTA to the right user. Intent is derived from on-chain transaction patterns across 2yr+ of pair history, not from self-reported data or page clicks.

Experience Grading¶

Distinguishes DeFi-native power users from newcomers, calibrating messaging sophistication automatically. A Power Trader who sees a beginner tutorial is lost. A newcomer who sees a fee-tier comparison is overwhelmed. Experience grading removes both failure modes.

Risk Profiling¶

Surfaces conservative vs. aggressive risk appetite across a user base, informing both messaging and product positioning. High risk willingness and capability unlocks high-yield framing; conservative wallets see stability-first messaging.

Churn and Win-back Detection¶

Identifies dormant, at-risk, and reactivation-ready wallets that standard on-chain monitoring misses. 70% of DeFi users never return after their first transaction - churn detection surfaces which of those are worth a win-back campaign and what message will work for each cohort.

One Dataset, Two Product Lines¶

On-chain Marketing Analytics runs on the same behavioral intelligence platform as ChainAware's Fraud and Risk products. One dataset, two buyer profiles:

	Fraud and Risk Line	Growth Line
Buyer	Security / Compliance	Growth / Product / Marketing
Core output	Rug pull and fraud probability, Agent Trust Score	Intent, experience, and risk segmentation
Underlying dataset	Same 23M+ wallet persona graph, same 8-chain coverage, same 2yr+ history
Benchmarked against	Chainalysis, Elliptic, TRM Labs	Traditional Web3 growth / CRM tooling

Both product lines compound in value as the dataset grows - every new wallet scored and every prediction validated against real outcomes makes the model more accurate for both buyers.

External Validation¶

Validator	Recognition
CB Insights	Placed on the AI Fraud Prevention Market Map
BNB Chain Kickstart	Validated marketing services use case
AWS and Google Cloud	Global Fintech Accelerator and $250K Cloud award