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

Aptos is a smart contract platform for decentralized applications (a blockchain). Aptos was founded by Mo Shaikh and Avery Ching and launched in 2022.

APT token holders own and govern the protocol. They currently don’t take a cut of the total transaction fees paid by users (revenue). Aptos’ investors include Binance Labs, Jump Crypto, Apollo, etc.

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Aptos

# Aptos Average revenue per user (ARPU) Methodology

## 1. Overview

Average Revenue Per User (ARPU) measures the daily revenue generated per active user on the Aptos blockchain. This metric answers the business question: "How much revenue does each active user generate on average per day?" The calculation divides total daily transaction fee revenue (in USD) by the number of daily active users, providing insight into user monetization and network economics.

## 2. Data sources

The ARPU calculation relies on the following raw data sources:

- **Blockchain transaction data**: Aptos blockchain transaction records containing transaction hash, sender address, block timestamp, gas used, and gas unit price information
- **Price feeds**: End-of-day APT token price data from two sources:
  - Chainlink price oracle feeds for APT (from August 10, 2023 onwards)
  - CoinGecko daily market data for APT (historical data before August 10, 2023)
- **Token metadata**: APT token decimal configuration (8 decimals) for proper price normalization

## 3. Step-by-step calculation

### Component A: Daily active users calculation

- **Purpose**: Counts unique transaction senders per day to determine daily active users
- **Logic**: Processes all Aptos transactions to extract sender addresses, then groups by day and counts distinct senders. Uses HyperLogLog (HLL) probabilistic counting for efficient aggregation across multiple dimensions. Applies a hardcoded genesis timestamp of October 12, 2022, to properly categorize pre-mainnet transactions that may have incorrect timestamps. Transactions are classified by user type as "Transaction sender"
- **Key fields**: `sender` address for user identification, `block_timestamp` for daily grouping, `user_dau` for the unique user count

### Component B: Daily revenue calculation

- **Purpose**: Calculates total daily transaction fee revenue in USD terms
- **Logic**: Extracts gas consumption data from each transaction and calculates fees by multiplying `gas_used` by `gas_unit_price`. Normalizes gas unit prices by dividing by 10^8 to account for APT's 8-decimal precision. Aggregates fees daily and converts to USD using end-of-day APT price feeds. Price data sourcing switches from CoinGecko (historical) to Chainlink feeds (August 10, 2023 onwards) for improved accuracy and reliability
- **Key fields**: `gas_used` and `gas_unit_price` for fee calculation, `fee_amount` for daily aggregation, price data for USD conversion

### Final aggregation

- **Combining components**: Daily revenue and daily active user metrics are processed through a specialized ARPU calculation macro that performs the division operation
- **Currency conversion**: All revenue calculations are performed in USD using end-of-day APT price feeds, ensuring consistent currency representation
- **Time aggregation**: Both revenue and user metrics are aggregated to daily boundaries using timestamp truncation
- **Final calculation**: ARPU equals daily revenue divided by daily active users, with zero-filling applied to handle missing data points and ensure complete time series coverage

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

AptosAPT

Average revenue per user (ARPU)

Average revenue per user (ARPU)

Competitive landscape