Active Wallet Growth (7d/30d)

Measures growth rate of unique active wallet addresses.

Methodology

What We Look For

Unique wallet growth indicates real user adoption and retention.

Evaluation Criteria:

• Unique wallet addresses that interacted in last 7 days vs previous 30 days
• Apply proof-of-humanity filters to exclude bots
• Look for varied interaction patterns
• Verify diverse user behavior

Anti-Sybil Filters:

• Irregular timing patterns (not bots)
• Varying transaction amounts
• Diverse interaction patterns
• Exclude sequential/identical behavior

Data Sources:

• Dune Analytics
• Flipside Crypto
• Nansen
• Block explorers

Guide

Finding Information

Step 1: Access Analytics Platform

Use blockchain analytics tools:

• Dune Analytics (create or find existing dashboard)
• Flipside Crypto
• Nansen
• Custom queries on block explorers

Step 2: Count Unique Wallets

For last 7 days:

• Count unique wallet addresses that interacted with your contracts
• Apply bot filters

For previous 30 days:

• Calculate 7-day equivalent: (30-day unique count / 30) × 7

Step 3: Apply Bot Filters

Exclude addresses with bot-like behavior:

• Identical timing between transactions
• Same transaction amounts repeatedly
• Sequential patterns
• No variation in gas prices

Step 4: Calculate Growth Rate

Calculate the percentage change in unique wallets between the recent 7-day period and the equivalent period from the previous 30 days.

Submitting Evidence

When submitting wallet growth:

1. 7-Day Unique Wallets: Count for last 7 days

2. 30-Day Average: Calculated 7-day equivalent

3. Growth Percentage: Calculated change

4. Data Source: Link to Dune dashboard, Flipside query, etc.

5. Bot Filtering: Describe how bots were excluded