twitter

discord

website

Blockchains (L1)

Movement

# Movement 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 Movement blockchain. This metric provides insight into user engagement depth and fee monetization efficiency by dividing total daily fees by the count of unique daily active users. The calculation uses native Movement blockchain transaction data, applies gas fee calculations, converts to USD, and normalizes by daily user activity.

## 2. Data sources

The AFPU calculation relies on the following data sources:

- **Movement blockchain transaction records**: Complete transaction data including sender addresses, gas consumption, and gas pricing information for all Movement network transactions
- **End-of-day token price feeds**: Daily closing prices for Movement's native token to enable USD conversion of fee amounts
- **Movement native token metadata**: Token decimal precision and addressing information required for accurate fee calculations and conversions

## 3. Step-by-step calculation

### Component A: Transaction fee calculation
- **Purpose**: Calculate total daily fees paid in USD across all Movement network transactions
- **Logic**: Extract all Movement blockchain transactions and process gas fee information. The `gas_unit_price` field is normalized by dividing by 10^8 to convert from raw blockchain units to proper decimal representation. For each transaction, calculate the fee as `gas_used` multiplied by the normalized `gas_unit_price`. Aggregate these individual transaction fees by day using sum aggregation to get total daily fee amounts in native tokens. Apply end-of-day price feeds to convert native token amounts to USD values for standardized reporting.
- **Key fields**: Transaction `hash`, `sender` addresses, `gas_used` consumption amounts, `gas_unit_price` pricing, and `block_timestamp` for daily grouping

### Component B: Daily active user counting  
- **Purpose**: Count unique transaction senders per day to measure daily active users
- **Logic**: Identify unique `sender` addresses from Movement blockchain transactions grouped by day. Use HyperLogLog (HLL) probabilistic counting algorithm for efficient approximate distinct counting. Apply HLL initialization, partial merging, and extraction functions to handle large-scale user deduplication across multiple dimensional breakdowns. The system creates breakdowns by project level, chain level, user type, and product dimensions while maintaining consistent user counts.
- **Key fields**: Transaction `sender` addresses, `block_timestamp` for daily grouping, `user_type` classification as "Transaction sender", and dimensional attributes for breakdowns

### Final aggregation
- **Combining components**: The daily fee totals (in USD) are divided by the corresponding daily active user counts using the `calculate_arpu` macro, which performs the division operation to compute average fees per user
- **Currency conversion**: Native token fees are converted to USD using end-of-day price feeds, with the conversion applied after daily fee aggregation but before the final AFPU division
- **Time aggregation**: Both fees and user counts are aggregated to daily boundaries using timestamp truncation, ensuring alignment for the division operation
- **Final calculation**: AFPU equals total daily fees in USD divided by daily active user count, with standardization applied through the `finalize_metric_afpu` macro to ensure consistent schema formatting and zero-filling for missing dates

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

MovementMOVE

Archived

Average fees per user (AFPU)

Average fees per user (AFPU)

Competitive landscape