Milestone 3

A Decentralized �Autonomous Marketplace �(DAM) �

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(c) Cyclic Media, Inc. — 2018 — 2024

Gavriel Shaw

http://cyclicmedia.com

https://medium.com/the-dam-dao

Explore CDP (customer data platform) data warehousing for the wide variety of filtering and matching required by end-users to drive their platform experience, and vendors to manage their e-commerce experience, possibly including supply chain and inventory management, user behavior analysis for advertising, marketplace insights (user trends, product demand, etc), and 3rd party integrations.

Conditions for Milestone 3

• The DAM platform’s data management capabilities will empower users, vendors, developers, advertisers, and premium content creators to manage data, monetisation strategies, and interactions effectively within the ecosystem.

This milestone will focus on creating a Customer Data Platform (CDP) and data warehousing solutions that allow:

1. User-controlled data privacy and monetisation;
2. Vendors and advertisers to access permission-based data for targeted campaigns and product development;
3. Supply chain and logistics integrations for B2B ecosystems, enabling operational efficiencies across value chains;
4. Premium content creators to monetise their offerings, track user engagement, and optimise their content based on analytics

End-User Requirements

Data Privacy and Control:

• As a User, I want full control over how my data is shared, including the ability to revoke or grant access for specific vendors or developers.
• As a User, I want the option to monetise my data and gain financial benefits from sharing it with vendors who meet my preferences.

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Data Access Enablement:

• As a User, I want to set detailed permissions on which aspects of my data can be accessed and under what conditions (e.g., duration, anonymisation).

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Monetisation of Personal Data:

• As a User, I want to earn from sharing my data with developers or vendors, with full transparency regarding which data is shared and how much I earn.

Vendor, Advertiser, and Developer Requirements

Platform Analytics for Product and Service Optimisation:

• As a Vendor or Advertiser, I want access to platform analytics that offer real-time insights into user behaviour, product engagement, and campaign performance to improve marketing and product decisions.
• As a Developer, I need detailed analytics on how users interact with my components, enabling me to optimise features and understand user needs better.

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Supply Chain and Logistics Integrations:

• As a Vendor, I need integration with supply chain management tools that allow me to monitor inventory, optimise logistics, and manage relationships with suppliers and manufacturers, ensuring smooth operations across the value chain.
• As a B2B ecosystem participant, I want the ability to collaborate with partners on a common platform that integrates inventory management, order fulfilment, and demand forecasting.

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Data Monetisation Transparency:

• As a Vendor, I want clear visibility into the cost of accessing user data, the specific data types I’m paying for, and how it contributes to my return on investment.

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Challenge

constructing a hybrid data architecture

1. Data flows between users, vendors, and developers, ensuring full compliance with user privacy preferences;
2. Analytics tools for vendors and developers that offer real-time insights into platform activity, product performance, and marketing effectiveness;
3. Supply chain and logistics integrations for vendors participating in B2B ecosystems, providing them with visibility and control over their operations within the platform.

This solution needs to ensure scalability and data transparency, while maintaining the privacy and consent-based approach that the DAM platform is built on.

Fully integrating the functionality for users, vendors, advertisers, developers, and premium content creators, with a focus on data privacy, monetisation, platform analytics, and supply chain logistics integrations for B2B ecosystems.

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Strategy - part 1

An advanced data framework that supports both personal data privacy and enterprise-level analytics and logistics management for B2B ecosystems.

Web2 Tools:

• Google Analytics 360 for tracking user behaviour across the platform, including product interactions, marketing campaign success, and user demographics.
• Amplitude for detailed user engagement insights, helping developers and vendors optimise their apps, widgets, and product offerings based on how users are interacting with them.

Platform Analytics for User and Vendor Insights:

Vendors, advertisers, and developers will gain access to detailed platform analytics. These tools will provide insights into user engagement, product performance, and the effectiveness of advertising campaigns, allowing businesses to refine their offerings based on real-time data.

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Web3 Tools:

• Chainlink Oracles for decentralised data feeds, allowing vendors to securely verify user data, ensuring that only consented data is used for analytics and decision-making.

Strategy - part 2

Web2 Tools:

• NetSuite for end-to-end supply chain and logistics management, enabling vendors to track inventory levels, manage procurement, and monitor delivery timelines.
• Salesforce for integrating customer relationship management (CRM), ensuring that vendors can streamline their customer engagement processes alongside logistics operations.

Supply Chain and Logistics Integration for B2B Ecosystems:

• To support B2B value chains, the platform will integrate supply chain management systems that enable vendors to track inventory, manage logistics, and collaborate with suppliers or partners in a unified ecosystem.
• These integrations will drive operational efficiency and allow businesses to respond quickly to supply chain disruptions or changing demand patterns.

Web3 Tools:

• OriginTrail or VeChain for decentralised supply chain management, allowing vendors to track product movements and ensure transparency across the value chain, ensuring all participants in the B2B ecosystem have access to real-time logistics data

Strategy - part 3

Web2 Tools:

• AWS Redshift or Snowflake for managing large-scale data storage and processing, ensuring that both user and vendor data is handled efficiently.
• Stripe or PayPal for managing micropayments to users who monetise their data, ensuring they receive compensation in real time.

Data Privacy and Monetisation Framework:

• The platform will provide tools for users to control their data, offering options for monetisation or full restriction of access.
• Users will be able to view how their data is being used, who is accessing it, and how much they are earning from data sharing.

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Web3 Tools:

• Ocean Protocol for decentralised data monetisation, allowing users to share data only when permissioned and to track the usage of their data through smart contracts.
• Self-Sovereign Identity (SSI) for allowing users to set, revoke, or modify data-sharing permissions, giving them full control over their personal data in a decentralised framework.

General Plan

1. Building the Foundation for Data Sovereignty

The first step is creating a robust framework where users retain full sovereignty over their data, ensuring that they can monetise, share, or restrict access as they see fit.

To achieve this, we will develop a Data Privacy Dashboard that functions as the control centre for all user interactions with their data.

This dashboard will offer granular permissions, enabling users to opt into or out of monetisation schemes while seeing real-time data usage by vendors and advertisers. The goal is to empower users, giving them confidence that their data decisions are transparent, secure, and profitable where applicable.

This foundational element sets the stage for users to take control of their digital footprint in an environment where Web3 decentralisation meets traditional, user-friendly interfaces.

General Plan

2. Expanding Vendor and Business Capabilities through Smart Data Insights

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For vendors, data-driven business decisions are paramount. The DAM platform will deploy advanced platform analytics tools that go beyond basic user interaction tracking, introducing AI-driven insights that will forecast trends, optimise inventory, and enhance product-market fit based on real-time user behaviour.

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These tools will enable businesses to leverage aggregated and anonymised data for predictive analytics while safeguarding individual user privacy.

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Additionally, vendors participating in B2B ecosystems will benefit from integrations with supply chain logistics tools (e.g., NetSuite, Salesforce), allowing them to manage operations more efficiently. By integrating decentralised supply chain technologies, such as OriginTrail, vendors will have increased visibility into their operations, enabling rapid responses to disruptions or demand shifts.

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General Plan

3. Premium Content Creators: A Monetisation-First Ecosystem

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One of the more novel aspects of this milestone is the creation of a distinct environment for premium content creators. Rather than simply offering them a static space to sell their content, the DAM platform will transform the monetisation journey into a dynamic, evolving process.

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By utilising tools such as Superfluid for real-time payments and self-sovereign identity for subscriber management, content creators will be able to offer personalised, on-demand content while keeping privacy concerns at bay.

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In tandem with this, the introduction of content engagement analytics will enable creators to continuously refine their offerings, tailoring courses, newsletters, coaching, and community memberships to better meet user demand. This feedback loop of engagement and improvement ensures that creators are not just monetising content but fostering lasting user relationships.

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General Plan

4. Enabling Data-Driven Collaborations with Governance Models

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An essential evolution of the DAM platform will be the introduction of data governance mechanisms.

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Through the use of user-driven data cooperatives, individuals can pool their data, negotiating better terms for access or monetisation while collectively influencing the broader ecosystem.

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The platform will support governance tokens, allowing users to vote on key decisions regarding data usage, ecosystem policies, and monetisation strategies. This turns data from an isolated asset into a collaborative resource.

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Appendix: Feature Descriptions

Vendor Features

• Platform Analytics Dashboard: Provides vendors with real-time insights into user behaviour, product engagement, and the effectiveness of marketing campaigns.
• Supply Chain and CRM Integration: Enables vendors to integrate their supply chain and CRM systems, helping them optimise inventory management, customer relationships, and logistics.
• Data Monetisation Dashboard: Tracks how vendors are paying for data access and measures the ROI from data-driven marketing or product decisions.

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User Features

• Data Privacy Dashboard: Allows users to manage permissions for data access, view who has accessed their data, and track earnings from data sharing.
• Monetise My Data Dashboard: Provides users with control over which data they share with vendors and developers, offering the potential to earn compensation.
• Earnings Tracker: Displays how much users have earned from sharing their data, showing which vendors accessed it and how much they paid.
• Data Monetisation Opt-Out: Allows users to opt out of data monetisation entirely, ensuring full privacy for those who prefer not to share their data.

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Appendix: Feature Descriptions

Developer Features

• Customisable Widgets, Apps, and UX Skins: Developers can offer customisable components to users, allowing them to personalise their platform experience.
• Real-Time Component Performance Analytics: Developers can track how users engage with their components, allowing for continuous optimisation and improvement based on user interactions.
• Third-Party API Integration: Developers can integrate external services with their components via third-party APIs, enhancing functionality and user experience.
• Monetisation Strategies: Developers can choose between multiple monetisation options, including offering free, subscription-based, or one-time payment models for their components.

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Advertiser Features

• Ad Campaign Customisation: Allows advertisers to create targeted ad campaigns based on user data (with explicit consent) and track campaign performance through real-time analytics.
• User-Specific Targeting: Advertisers can refine campaigns by focusing on users’ behaviour and preferences, provided users have opted in.
• Ad Performance Insights: Provides detailed reports on ad effectiveness, including conversion rates and the overall return on investment.

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Premium Content Creator Features

• Monetisation Dashboard: Enables content creators to manage the monetisation of their offerings, such as courses, coaching, newsletters, and communities, with flexible pricing models like subscriptions or one-time fees.
• Content Engagement Analytics: Provides detailed insights into how users interact with premium content, such as completion rates for courses, engagement in community forums, and subscriber growth for newsletters.
• Data Privacy and Subscriber Control: Content creators can control the privacy of their subscribers’ data and manage data-sharing permissions for vendors or third parties based on user consent.

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Appendix: Expansion Opportunities

1. Data Portability and Interoperability

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Cross-platform Data Portability: Users can export their data to other platforms, ensuring ownership and control across ecosystems. Interoperability Standards: The platform supports standardised data formats for seamless integration with other Web2 and Web3 services.

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2. Data Monetisation Marketplaces for Personalisation

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Data Licensing for Aggregate Data: Users can monetise anonymised data clusters while maintaining privacy. Dynamic Pricing Models: Introduce dynamic pricing for higher-value data, rewarding users for more valuable insights.

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3. Enhanced AI and Machine Learning Data Insights

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AI-driven Recommendations: Machine learning models provide personalised recommendations for users based on data behaviour. Predictive Analytics for Vendors: Vendors gain predictive insights to optimise inventory and marketing strategies.

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4. Decentralised Identity and Trust Verification (Verifiable Credentials)

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Verifiable Credentials (VCs): Users can hold cryptographically verified credentials, validating identity without compromising privacy. Decentralised Reputation System: Users build a reputation score based on data contributions, increasing the value of their data in the marketplace.

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5. Federated Learning for Data Privacy and Security

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Federated Learning for Vendors: Vendors can train AI models across decentralised user data without accessing individual-level data, preserving privacy.

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6. Contextual Data Monetisation Based on Real-Time Events

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Event-Based Data Sharing: Users can monetise data related to real-time events for tailored offers and rewards.

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7. Governance and Data Co-op Models

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User Data Co-operatives: Users can pool data to negotiate better rates or benefits with businesses. Governance Tokens for Data Usage: Users vote on how collective data pools are monetised or accessed by third parties using governance tokens.

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