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Helio

# Helio Average fees per user (AFPU) Methodology

## 1. Overview

Average Fees Per User (AFPU) measures the average amount of fees paid per daily active user on the Heliopay payment platform. This metric helps evaluate user monetization and revenue efficiency by dividing total daily fees collected by the number of unique users who paid fees that day. The calculation uses Solana blockchain data to identify fee payments and active users, then applies currency conversion to provide USD-denominated results.

## 2. Data sources

The methodology relies on several key data sources:
- **Solana native transfers**: Native SOL transfer events on the Solana blockchain containing sender, recipient, amount, and transaction details
- **Solana SPL token transfers**: SPL token transfer events on Solana containing token transfers with owner and recipient information
- **End-of-day price feeds**: Token price data used for USD conversion of various tokens collected as fees
- **Token metadata**: Token information including decimal precision for proper amount calculations
- **Transaction data**: Solana transaction records containing transaction signers and timestamps

## 3. Step-by-step calculation

### Component A: SOL fee collection
- **Purpose**: Identifies SOL fees paid to Heliopay by filtering native Solana transfers
- **Logic**: Filters Solana native transfer events where the recipient address is the Heliopay fee collection account `FudPMePeNqmnjMX19zEKDfGXpbp6HAdW6ZGprB5gYRTZ`. Excludes transfers where the sender is also the fee account to avoid internal movements. Extracts the transaction signer as the fee payer and maps SOL to its canonical token address `So11111111111111111111111111111111111111112`
- **Key fields**: `block_timestamp` for timing, `transaction_signer` for user identification, `amount` for fee value, and hardcoded SOL token address

### Component B: SPL token fee collection  
- **Purpose**: Identifies SPL token fees paid to Heliopay using the same filtering logic as SOL fees
- **Logic**: Filters Solana SPL token transfer events where the recipient owner address is the Heliopay fee collection account. Applies the same exclusion rule for transfers from the fee account. Captures the actual token address from the transfer event and converts amount to proper numeric format
- **Key fields**: `block_timestamp`, `transaction_signer`, `token_address`, and `amount` converted to bignumeric

### Component C: Daily active user identification
- **Purpose**: Counts unique users who paid fees each day using transaction signers from both SOL and SPL fee transactions
- **Logic**: Combines transaction signers from both SOL and SPL fee transactions, groups by day using timestamp truncation, and identifies unique signers as daily active users. Uses HyperLogLog algorithm to efficiently count distinct users across multiple dimensional breakdowns including project-level, chain-level, user-type-level, and product-level aggregations
- **Key fields**: `timestamp` truncated to day, `signer` as unique user identifier, `chain`, `user_type` set to 'Payer', and `product_id`

### Component D: Fee aggregation and currency conversion
- **Purpose**: Combines all fees collected daily and converts them to USD for consistent measurement
- **Logic**: Unions SOL and SPL token fees, groups by day, chain, product, and token address, then sums the total amount for each combination. Applies decimal correction based on token metadata to ensure proper unit conversion. Converts all token amounts to USD using end-of-day price feeds for the respective date and token
- **Key fields**: `timestamp` truncated to day, `chain_id`, `product_id`, `token_address`, and `fees` amount in original token units before USD conversion

### Final aggregation
- **Combining components**: The final AFPU calculation divides the total daily fees in USD by the daily active user count using the calculate_arpu macro, which performs the mathematical division while handling edge cases like zero users
- **Currency conversion**: All fee amounts are converted to USD using end-of-day price feeds and corrected for token decimal places to ensure accurate monetary values
- **Time aggregation**: Data is aggregated to daily boundaries using timestamp truncation, with gaps filled using a 'fill_zeros' strategy to ensure continuous time series
- **Final calculation**: AFPU equals total daily fees in USD divided by the count of unique daily active users, where both numerator and denominator are calculated from the same underlying fee transaction data to ensure consistency

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

Helio

Average fees per user (AFPU)

Average fees per user (AFPU)

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