github

twitter

discord

website

Blockchains (L2)

Boba Network

# Boba Network Average revenue per user (ARPU) Methodology

## 1. Overview

ARPU measures the average daily revenue generated per active user on the Boba Network. This metric is calculated by dividing daily revenue (derived from gas fees) by the number of daily active users (transaction senders). The calculation provides insight into the economic efficiency and revenue generation per user for this Layer 2 blockchain network.

## 2. Data sources

The ARPU calculation relies on the following raw data sources:
- **Boba Network transaction records**: Complete transaction data including gas usage metrics, gas prices, sender addresses, and Layer 1/Layer 2 fee components
- **End-of-day token price feeds**: Daily USD price data for ETH, used to convert gas fees from native tokens to USD values
- **Token metadata**: ETH token information including decimals and contract addresses for the Boba Network native token

## 3. Step-by-step calculation

### Component A: Daily revenue calculation

- **Purpose**: Calculate total daily revenue from gas fees paid by users
- **Logic**: Extract transaction data from Boba Network and calculate gas fees using Layer 2 and Layer 1 components. For each transaction, calculate L2 gas fees as gas used multiplied by gas price, divided by 1e18 to convert from wei to ETH. Calculate L1 gas fees as L1 gas used multiplied by L1 gas price multiplied by L1 fee scalar, divided by 1e18. Sum L1 and L2 fees for total transaction fees. Convert fees from ETH to USD using end-of-day price feeds. Aggregate all transaction fees daily to get total revenue per day.
- **Key fields**: `gas_used` for L2 execution costs, `gas_price` for L2 fee rate, `l1_gas_used` for L1 data availability costs, `l1_gas_price` for L1 fee rate, `l1_fee_scalar` for L1 fee multiplier, `block_timestamp` for daily grouping

### Component B: Daily active users calculation

- **Purpose**: Count unique users active each day on Boba Network
- **Logic**: Extract transaction sender addresses from Boba Network transaction records. Identify unique daily users by collecting all sender addresses (`from_address`) for each day using timestamp truncation to day level. Use HyperLogLog sketches to efficiently count distinct users across different dimensional breakdowns including project level, chain level, user type, and product level aggregations.
- **Key fields**: `from_address` for user identification, `block_timestamp` for daily grouping, `user_type` set to "Transaction sender"

### Final aggregation

- **Combining components**: Join daily revenue totals with daily active user counts by matching on the same date
- **Currency conversion**: All gas fees are converted to USD using end-of-day ETH price feeds, with decimal correction applied by dividing wei amounts by 1e18
- **Time aggregation**: Both revenue and user metrics are aggregated daily using timestamp truncation to day boundaries
- **Final calculation**: ARPU is computed by dividing total daily revenue in USD by the count of daily active users for each corresponding day. Missing days are filled with zero values to maintain consistent time series data.

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

Boba NetworkBOBA

Average revenue per user (ARPU)

Average revenue per user (ARPU)

Competitive landscape