Covalent: Data-Alchemist-Boot-Camp

• Fantom & Ethereum mainnet Analytics dashboard (FTM/ETH)

Link: Fantom Analysis

Link : Ethereum Analysis

Introduction

• Here I'm going to share my Data-Alchemist dashboard report, with the most popular chains in the web3.

• My analysis was focused on Ethereum a decentralized blockchain platform that establishes a peer-to-peer network that securely executes and verifies application code, called smart contracts allow participants to transact with each other without a trusted central authority. Transaction records are immutable, verifiable, and securely distributed across the network, giving participants full ownership and visibility into transaction data. Transactions are sent from and received by user-created Ethereum accounts. A sender must sign transactions and spend Ether, Ethereum's native cryptocurrency, as a cost of processing transactions on the network.

• Second chain on my analysis is Fantom a fast, scalable platform for decentralized applications (dApps) draws its speed from a unique consensus mechanism called Lachesis. Fantom also offers tools that make it easy to integrate existing dApps, a nuanced system of staking rewards, and a suite of built-in decentralized finance (DeFi) tool,

Description Challenge - using for Reach, Retention, and Revenue analysis to

1. Benchmarking a project against itself over time
2. Benchmarking a project against its peers

My research analysis was follows: ETH/FTM

1. Reach:

   • Compare the number of transactions count Eth vs FTM
   • Compare the number of active address Eth vs FTM
   • Comparing contract deployed Eth vs FTM

2. Retention:

   • Compare the stickiness ratio Eth vs FTM
   • Comparing new vs existing address Eth vs FTM
   • Comparing cohort retention Eth vs FTM

3. Revenue:

   • Compare token price over time Eth vs FTM
   • Compare total gas spent Eth vs FTM
   • Compare the number gas paid per user Eth vs FTM

In this Data-Alchemist I did take into consideration that Ethereum chain is older, establish than Fantom mainnet due to the fact that Fantom is fast, scalable platform for decentralized applications, easy to integrate existing dApps, and a suitable for building decentralized finance (DeFi) tools, which can primary attract more users and developers resulting in mass adoption for Fantom to grow - that what we want to measure here.

1. Reach

• If we compare the number of transactions and active addresses, we can far see that last 30 days Fantom chain mass adoption is growing to the point that its reaches above 900k in transaction, moving close side with Ethereum, also well we can also see that active addresses is half of what Ethereum is. which shows us that Fantom is growth is scalable even in a bearish rang.

2. Retention

• Here we can see that stickiness ratio for Fantom looks good compare to Ethereum. But the new users vs existing we can see its not very clear for Fantom, as for Ethereum look really stable and receiving new user. This could be caused by the new upgrade to Ethereum.

3. Revenue

• To conclude our analysis we say that comparing Ethereum and Fantom helped learn and understand the nature of these chains. And get see the performances of these chains using covalent increment.

Thank you Happy Data-Alchemist-Analysis