Scoring Types

The various scoring types of Merkl campaigns

What is Scoring?

Scoring types define how individual user contributions are measured and converted into reward shares. While distribution types determine the overall reward model and budget allocation, scoring types control how each user's activity is scored within that model.

At its core, Merkl computes time-weighted integrals of user balances or contributions—essentially tracking how much liquidity or assets each user provided over time.

Scoring Types Overview

Merkl supports various scoring methods, allowing campaign creators to choose how individual user contributions are measured. Each scoring type applies a different function to the time-weighted integrals, creating distinct reward allocation patterns.

• Default scoring (1:1 mapping): By default, Merkl uses a proportional scoring system where a user's share of rewards equals their share of the total time-weighted contributions. For example, if a user contributed 10% of the total liquidity-time across all participants, they receive 10% of the rewards (in a variable APR campaign).

• Custom scoring functions: Campaign creators can apply different scoring functions to transform these integrals before calculating reward shares. Examples include:

  • Maximum balance cap: Taking the minimum between a user's time-weighted balance and a predefined cap—this limits how much eligible balance counts toward rewards, preventing excessive concentration.

  • Logarithmic scoring: Applying a logarithmic function to the time-weighted integral—this reduces the advantage of large contributors, creating a more equitable distribution where smaller participants receive proportionally higher rewards relative to their contribution size.