Auctioneers create auctions on Bounce Finance which users can participate in.

Bounce Finance is a non-custodial auction protocol built on Ethereum and other adjacent blockchains. Bounce Finance was founded by Ryan Fang & Jack Lu and launched in 2020.

AUCTION tokenholders own and govern the protocol. They currently take a cut of the total auction fees paid by auction creators (revenue). Bounce Finance's investors include Coinbase Ventures, Binance Labs, Pantera Capital, etc.

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Bounce Finance

# Bounce Finance Average fees per user (AFPU) Methodology

## 1. Overview

Average Fees Per User (AFPU) measures the average amount of fees generated per daily active user on Bounce Finance, a decentralized auction platform. This metric answers the business question "How much fee revenue does each user generate on average per day?" and is calculated by dividing total daily fees by the number of daily active users across all supported blockchains.

## 2. Data sources

- **Blockchain events**: Parsed BounceFixedSwap contract events from Arbitrum, Avalanche, BSC, Ethereum, Fantom, Gnosis, Optimism, and Polygon blockchains
- **Contract events**: Specifically `Created`, `CreatorClaimed`, `UserClaimed`, `Swapped`, and `Reversed` events from BounceFixedSwap contracts
- **Transaction data**: Token transfer events from multiple chains to identify payment token denominations
- **External data**: End-of-day token price feeds for USD conversion and token metadata for decimal corrections
- **Default tokens**: Wrapped native token addresses for each chain when no token transfers are detected

## 3. Step-by-step calculation

### Component A: Daily active user calculation

- **Purpose**: Identifies and counts unique users interacting with Bounce Finance auctions daily
- **Logic**: Extracts user addresses from the `sender` field of five types of BounceFixedSwap contract events across eight blockchains. Users are categorized by interaction type: auction creators (`Created` events), buyers (`Swapped` events), creator claimers (`CreatorClaimed` events), user claimers (`UserClaimed` events), and refunders (`Reversed` events). Each user address is associated with a specific user type and chain. Daily aggregation truncates timestamps to day granularity and uses HyperLogLog functions to efficiently deduplicate user addresses within each day
- **Key fields**: `sender` addresses from contract events, `block_timestamp` for daily grouping, `chain` for multi-chain tracking, and `user_type` for interaction classification

### Component B: Fee calculation  

- **Purpose**: Captures and converts auction fees to USD for revenue measurement
- **Logic**: Extracts fee amounts from the `txFee` field in `CreatorClaimed` events, which represent fees collected when auction creators claim their proceeds. Each fee event is joined with token transfer data from the same transaction to identify the payment token denomination. When no matching token transfers are found, the system defaults to the wrapped native token for that chain. Fee amounts undergo decimal correction based on token metadata and are converted to USD using end-of-day price feeds
- **Key fields**: `txFee` amounts from `CreatorClaimed` events, `token_address` from transfers or default wrapped tokens, `block_timestamp` for daily aggregation

### Component C: User aggregation across dimensions

- **Purpose**: Aggregates daily active users across different breakdown dimensions while avoiding double-counting
- **Logic**: Uses HyperLogLog merge operations to aggregate user counts across four dimensions: project-level (total users), chain-level (users per blockchain), user-type-level (users by interaction type), and product-level (users by product). This approach enables efficient aggregation of large user datasets while maintaining accuracy through probabilistic counting methods
- **Key fields**: HyperLogLog sketches for user deduplication, dimension identifiers for breakdowns

### Final aggregation

- **Combining components**: Daily fees are summed across all chains and auction types, while daily active users are counted using the project-level aggregation to avoid double-counting users who interact across multiple chains or user types
- **Currency conversion**: All fees are converted to USD using end-of-day price feeds with proper decimal adjustments based on each token's specifications
- **Time aggregation**: Both fees and users are aggregated to daily boundaries using timestamp truncation, with missing days filled with zero values to maintain complete time series
- **Final calculation**: AFPU equals total daily fees in USD divided by total daily active users, producing the average fee revenue generated per user each day across the entire Bounce Finance platform

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

Bounce FinanceAUCTION

Average fees per user (AFPU)

Average fees per user (AFPU)

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