List of Data Metrics

On-chain Impact Analysis

This category looks at how different key onchain metrics are impacted when defined network events occur such as incentive programs, liquidity programs, grants, etc.

Total Transactions

• Total number of transactions processed on the network.

• Indicates overall network activity and adoption.

Total Value Transacted

• Cumulative value of all transactions on the network.

• Reflects the economic activity and liquidity within the network.

TVL

• Total amount of assets deposited across the network.

• Indicates the health and growth of the ecosystem.

Gas

• Cost to perform transactions on the network.

• Reflects network congestion and user costs.

Unique Users

• Number of distinct addresses interacting with the network.

• Indicates user adoption and network growth.

Application Process Analysis

This category looks at the entire grant application process of a grant program.

Categorization of Applicants by Sector

• Classification of applicants based on sectors such as DEX, Yield, etc.

• Helps in understanding the diversity and focus areas of the applicants'.

Distribution of Posts, Activity, and Effort

• Analysis of the number and type of posts, engagement levels, and the effort from applicants during the grant process.

• Provides insights into the engagement and resource allocation throughout the application timeline.

Classification of Effort into High vs Low Value

• Evaluation of the perceived value or impact of applicants' contributions and activities.

• Identifies key contributions that significantly add value to the program.

Grouping and Classification of Feedback/Critique topics or categories

• Organization of feedback or critique into relevant themes or subjects.

• Enables targeted improvements and addresses common concerns effectively.

Network Activity

This category focuses on users or wallets as the measurement of activity on a network

Categorization by TX Reason

• Identifying the underlying purpose behind each transaction made by users.

• Assists in understanding user intent and behavioral trends.

Categorization by TX type

• Classification of transactions into types such as transfers, swaps, or contract interactions.

• Highlights the nature and variety of activities occurring within the network.

Categorization by TX Direction

• Determining whether transactions are inbound or outbound within the network.

• Provides insight into the flow of assets and interaction types among users.

Categorization by Users

• Categorizing users based on their activity levels or roles within the network.

• Helps in tailoring network services and support to different user groups.

User Analysis

This category delves into understanding user behavior and patterns.

Segmentation

• The process of dividing users into distinct groups based on specific criteria to tailor strategies.

• Facilitates targeted marketing and personalizing user experiences.

Acquisition

• Tracking the methods and channels through which new users discover and start using the network.

• Assists in optimizing onboarding strategies and improving user acquisition rates.

Churn

• Analyzing the rate at which users stop interacting with the network, and identifying the reasons behind it.

• Aids in developing retention strategies to minimize user loss.

User Acquisition Cost

• Evaluating the costs involved in acquiring new users to optimize marketing and onboarding strategies.

• Ensures cost-effective growth by balancing spending with user growth outcomes.

Governance

This category explores the dynamics and structure of decision-making processes within the network.

Participation

• Examining the rate and manner in which stakeholders engage in governance activities.

• Ensures active involvement in decision-making, enhancing decentralized management.

Concentration of Power

• Assessing the distribution of influence among network participants

• Prevents power imbalances and promotes equitable decision-making.

Distribution and Network Analysis

• Analyzing how power and resources are distributed across the network, and studying the network’s topology for better planning and execution of governance policies.

• Supports strategic governance by understanding the structural characteristics of the network.