In this comprehensive tutorial, Man Malan explores the powerful network analytics tool within the Analytic Kit Wallet Analytics platform. Learn how to use Ethereum blockchain data to gain actionable insights into customer behavior, smart contract interactions, and optimize your marketing strategies.

What you learn:

Navigate and use the Network Analysis tool in Analytic Kit.
Collecting and interpreting Ethereum blockchain data.
Visualization of smart contract interactions and customer engagement.
Improving marketing campaigns based on data-driven insights.
Main features discussed:

Daily data collection via the Ethereum blockchain.
Identify key influencers and customer engagement patterns.
Upcoming features for dynamic data manipulation and deeper insights.

Why watch?
Gain a comprehensive understanding of the usage of your Ethereum blockchain application.
Develop targeted marketing strategies based on real-time data.
Improve customer retention and community growth through data-driven decisions.

Who should watch?
Blockchain marketers, data analysts, Ethereum developers and anyone interested in blockchain analytics.
Sign up for more blockchain analytics tutorials and tools to revolutionize your approach to customer data.

Main links:
AnalyticKit website: https://analytickit.com
Analytickit SAAS platform: https://dpa.analytickit.com

Follow us on social media:
– Twitter: /analytical_kit
– LinkedIn: / 80256853

Tags:
/"Blockchain, Ethereum, Smart Contract, Wallet Analytics, Network Analytics, Crypto Marketing, Data Analytics, Customer Engagement, Analytical Kit/"

Hashtags:
#Blockchain #Ethereum #SmartContracts #WalletAnalytics #CryptoMarketing #DataScience #AnalyticKit

Key moments:
00:02 Introduction to the video and overview of network analysis
00:15 Purpose and benefits of the Network Analysis tool
01:02 Navigate the Analytic Kit platform and access Wallet Analytics
01:21 Explanation of data collection and storage
02:45 Visualization of smart contract interactions and customer engagement
03:52 Interpreting nodes and edges in the network analysis graph
06:00 Combining Web2 and Web3 data for deep insights
07:23 Identify key influencers and optimize marketing strategies
08:30 Building community and increasing customer engagement
10:00 Optimize marketing assets and target specific user segments
11:00 Future improvements and dynamic features in Network Analysis
18:51 Conclusion and additional resources

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