Validators process transactions and receive fees from users (supply-side fees).

Conflux is a smart contract platform for decentralized applications (a blockchain). Conflux was founded by David Chow, Fan Long, Ming Wu, and YuanJie Zhang and launched in 2020. Note that this dashboard only includes Conflux Core Space.

CFX holders own and govern the protocol. They currently do not take a cut of the total transaction fees paid by users (revenue).

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Conflux Core Space

# Conflux Core Space Average fees per user (AFPU) Methodology

## 1. Overview

Average Fees Per User (AFPU) measures the average amount of transaction fees paid per daily active user on the Conflux blockchain. This metric is calculated by dividing the total daily transaction fees (in USD) by the number of daily active users (DAU). AFPU provides insight into user behavior and fee monetization, helping assess how much value each active user contributes through transaction fees.

## 2. Data sources

The calculation relies on two primary data sources:

- **Raw Conflux transaction data**: Complete transaction records from the Conflux blockchain containing transaction senders, fee amounts, success status, timestamps, and transaction hashes
- **End-of-day price feeds**: Token price data from CoinGecko API for CFX token (`conflux-token` ID) to convert native fees to USD values
- **Chain availability metadata**: Data quality indicators that determine when Conflux chain data is considered complete and reliable for metric calculations

## 3. Step-by-step calculation

### Component A: Daily active user counting
- **Purpose**: Calculate the number of unique users who initiated transactions each day
- **Logic**: Extract all transaction sender addresses from raw Conflux transaction data, grouping by day. Use HyperLogLog (HLL) sketches to efficiently count distinct users while enabling cross-dimensional aggregation. The system truncates timestamps to daily boundaries and counts unique `sender` addresses as active users. Users are classified as "Transaction sender" type and associated with the "blockchains_l1" market sector
- **Key fields**: `block_timestamp` for daily grouping, `sender` address for user identification, `transaction_hash` for transaction linking

### Component B: Daily fee aggregation  
- **Purpose**: Calculate total transaction fees paid each day in USD
- **Logic**: Sum all transaction fee amounts from raw Conflux transaction data on a daily basis. Extract the `fee_amount` field (cast as bignumeric for precision) from all transactions, regardless of success status. Group by daily timestamps and sum fees. Convert the aggregated CFX amounts to USD using end-of-day price data from CoinGecko for the CFX token. The conversion uses the `convert_to_usd_cg` process with the `conflux-token` CoinGecko identifier
- **Key fields**: `fee_amount` for individual transaction costs, `block_timestamp` for daily aggregation, `coingecko_id` for price conversion

### Component C: HyperLogLog aggregation
- **Purpose**: Enable efficient distinct user counting across multiple dimensional breakdowns
- **Logic**: Process daily user data through HyperLogLog sketches to support aggregation at different levels (project-wide, by chain, by user type, by product). Initialize HLL sketches for each day's user set, then merge and extract counts for each dimensional breakdown. This approach prevents double-counting users while supporting flexible aggregation patterns
- **Key fields**: `user_dau` addresses processed through HLL functions, dimensional identifiers for grouping

### Final aggregation
- **Combining components**: The AFPU calculation divides total daily fees (in USD) by the daily active user count using the `calculate_arpu` macro. This performs the division operation while handling edge cases like zero users
- **Currency conversion**: CFX fee amounts are converted to USD using end-of-day CoinGecko prices for the `conflux-token`, ensuring consistent currency representation
- **Time aggregation**: All data is aggregated to daily boundaries using timestamp truncation, with both user counts and fees calculated for the same daily periods
- **Final calculation**: AFPU = Total Daily Fees (USD) ÷ Daily Active Users, with zero-filling applied for days with missing data to maintain consistent time series reporting
- **Data quality**: Chain availability filters ensure only reliable data periods are included in the final metric calculation

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

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Average fees per user (AFPU)

Average fees per user (AFPU)

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