Liquidity providers deposit funds into Osmosis and receive trading fees from traders (supply-side fees).

Osmosis is a non-custodial exchange protocol built on Cosmos ecosystem. Osmosis was launched in June 2021.

OSMO token holders own and govern the protocol. They currently do not take a cut of the total trading fees paid by traders (revenue).

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Osmosis

# Osmosis Average revenue per user (ARPU) Methodology

## 1. Overview

Average Revenue Per User (ARPU) measures the average revenue generated per daily active user on the Osmosis decentralized exchange protocol. The metric answers the business question: "How much revenue does each active user generate on average per day?" The calculation follows the standard ARPU formula: Total Daily Revenue ÷ Daily Active Users. However, in the current implementation, revenue is explicitly set to zero, resulting in an ARPU of zero across all time periods.

## 2. Data sources

The ARPU calculation relies on two primary data sources:

- **Daily active user data**: Scraped daily counts of unique transaction senders on the Osmosis protocol, representing users who performed at least one transaction on a given day
- **Fee collection data**: Transaction fee amounts collected from Osmosis DEX operations, including swap fees and other exchange-related fees from automated market maker activities
- **External processing**: Data aggregation and dimensional analysis to break down users by project level, chain level, and user type classifications

## 3. Step-by-step calculation

### Component A: Daily active user aggregation
- **Purpose**: Calculate the number of unique daily active users on Osmosis protocol
- **Logic**: Raw daily active user counts are extracted from Osmosis scraper data, where users are identified as transaction senders. The daily values are averaged to handle any duplicate or multiple records for the same day. The data is then processed to create three dimensional breakdowns: project-level aggregation (treating Osmosis as a single project), chain-level breakdown (identifying Osmosis as the chain), and user-type breakdown (categorizing users as "Transaction sender" type)
- **Key fields**: `timestamp` for daily granularity, `user_dau` containing the averaged daily active user count, `user_type` set to "Transaction sender", `chain` identified as "osmosis"

### Component B: Revenue calculation
- **Purpose**: Calculate daily revenue generated from Osmosis protocol operations
- **Logic**: Fee collection data is extracted from Osmosis DEX operations, capturing transaction fees from automated market maker activities. The fees are classified under "Exchange AMM" business line within the "dex" business segment. However, in the revenue metric calculation, all revenue values are explicitly hardcoded to zero, regardless of the actual fee collections. This means no revenue is attributed to the protocol for ARPU calculation purposes
- **Key fields**: `fees_spent` amounts from fee collections, `amount` field set to zero in revenue calculations, `business_line` set to "Exchange AMM", `market_sector_id` set to "exchanges"

### Final aggregation
- **Combining components**: The ARPU calculation uses the standard formula where daily revenue is divided by daily active users. Both metrics are joined on date and dimensional attributes to ensure proper alignment
- **Currency conversion**: Fee amounts are cast as bignumeric data type for precision, but since revenue is set to zero, no currency conversion impact occurs
- **Time aggregation**: Data is processed with daily timestamp granularity, with missing days filled using a "fill zeros" strategy to ensure continuous time series coverage
- **Final calculation**: ARPU = Daily Revenue ÷ Daily Active Users. Since revenue is hardcoded to 0, the result is 0 ÷ DAU = 0 for all time periods. The calculation includes data filtering up to June 20, 2024, and standardized schema application through finalization macros

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

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Average revenue per user (ARPU)

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