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.

governance

github

twitter

etherscan

website

Infrastructure

Bounce Finance

# Bounce Finance Active users (daily) Methodology

## 1. Overview

The Bounce Finance Daily Active Users (DAU) metric measures the number of unique addresses that interact with Bounce Finance's fixed swap auction contracts on any given day across multiple blockchain networks. This metric answers the business question: "How many distinct users are actively engaging with Bounce Finance's auction platform daily?" The calculation aggregates user addresses from various auction-related activities including creating auctions, participating in swaps, and claiming tokens.

## 2. Data sources

- **Bounce Finance contract events**: Parsed `BounceFixedSwap` contract events from eight blockchain networks: Arbitrum, Avalanche, BSC, Ethereum, Fantom, Gnosis, Optimism, and Polygon
- **Event types tracked**: 
  - `Created` events when users create new fixed-price token auctions
  - `Swapped` events when users purchase tokens from active auctions
  - `CreatorClaimed` events when auction creators claim their proceeds
  - `UserClaimed` events when auction participants claim their purchased tokens
  - `Reversed` events when users process refunds for failed or cancelled auctions
- **Blockchain transaction data**: Block timestamps and transaction hashes from each network to establish timing and uniqueness
- **Smart contract logs**: Event emission logs containing user addresses (`sender` field) and auction interaction details

## 3. Step-by-step calculation

### Component A: User interaction extraction
- **Purpose**: Identify all unique user interactions with Bounce Finance auction contracts across multiple chains
- **Logic**: Extract user addresses from the `sender` field of five distinct event types emitted by `BounceFixedSwap` contracts. Each event type represents a different user behavior: `Created` events identify auction creators, `Swapped` events identify token buyers, `CreatorClaimed` and `UserClaimed` events identify users claiming tokens, and `Reversed` events identify users processing refunds. Data is collected from eight blockchain networks simultaneously and unified into a single dataset.
- **Key fields**: `block_timestamp` for timing, `transaction_hash` for uniqueness, `chain` for network identification, `user_address` extracted from the `sender` field, and `user_type` classification based on the specific event type

### Component B: User classification and normalization
- **Purpose**: Standardize user interactions with consistent business metadata and classifications
- **Logic**: Classify each user interaction by type based on the originating event: auction creators, buyers, creator claimers, user claimers, and refunders. Apply consistent business classifications marking all interactions as 'Auction' business line under 'infrastructure' market sector. Normalize timestamps and ensure consistent data types across all chains.
- **Key fields**: `user_type` derived from event classification, `business_line` set to 'Auction', `market_sector_id` set to 'infrastructure', `business_segment_id` set to 'other'

### Final aggregation
- **Combining components**: Union all user interactions from the eight supported blockchain networks into a comprehensive dataset, maintaining chain-level granularity for analysis
- **Time aggregation**: Truncate block timestamps to daily boundaries using day-level granularity, grouping all interactions within each 24-hour period
- **Distinct user counting**: Count unique user addresses within each day, removing duplicate addresses that may have performed multiple interactions on the same day while preserving their user type classifications
- **Chain filtering**: Apply chain availability filtering to exclude data from periods where blockchain data may be incomplete or unreliable, ensuring accurate DAU counts
- **Final calculation**: The daily active user count equals the number of distinct `user_address` values per truncated daily timestamp, segmented by chain and user type for detailed analysis

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

Unique revenue-generating users over a fixed 24-hour window.

Bounce FinanceAUCTION

Active users (daily)

Active users (daily)

Competitive landscape

Chain breakdown