11. DonaBlock Dashboard System

On DonaBlock Dashboard, Suppliers and volunteer can view crucial information about products and sales history. By disclosing information transparently, two parties are able to make a fair consensus on "ShopBack".

For the supplier, the list of volunteers provided is with their performance data such as Block-Fame level, the accumulated DonaBlock tokens in the latest 3 months, sales and target reach. Based on the information, the supplier can select the preferred Volunteer and request the promotion of their product.

The Volunteer accepts the reproposed "ShopBack" ratio or goes through a consensus process to propose a "ShopBack" ratio again.

Once the "ShopBack" agreement is made, the Volunteer will begin charity campaign and selling the product.

- After a "ShopBack" agreement is made with the supplier, the volunteer creates contents and promotes products on the personal shop or social media.

- For accurate tracking of volunteers’ sales activity, a link is generated for every product. This link is shared on volunteers’ social media and leads customers to sales page.

- Sales profit is donated according to "ShopBack".

- Sales record will be stored on the data layer and transaction data will be recorded on the block - Data such as sales performance, advertisement index, characteristics of main targets and user

behavior is collected and mined. This data is provided to suppliers while some of this data is charged a fee.

- Suppliers can search for volunteers with a customer pool that best matches their core target consumers.

- DonaBlock forms partnership with Suppliers and volunteers to integrate, accumulate, and

process data. Though such data is provided to participants in the ecosystem, part of this data will be disclosed only to those who pay tokens. Collected tokens will later be used to cover the operation cost.

When a volunteer starts charity campaign activities, customers’ activity data such as number of impressions, clicks, shopping carts, and their purchases per activity period, as well as sales performance data and conversion rate data can be all tracked down in the system. In addition, since it is possible to confirm the purchasing tendency of the customer who volunteer the volunteer's sales activity performance index, it is possible to predict the target group and the product group with high purchase conversion rate for each volunteer.