⭐⭐⭐ EARNET ⭐⭐⭐ An Cutting-edge Web Advertising Platform ⭐⭐⭐

⭐⭐⭐EARNET⭐⭐⭐

EARNET is an cutting-edge web advertising platform that aims to resolve various issues
in the existing performance marketing industry and to create brand new values with the use of blockchain and AI.

Resolving Issues in the Existing Performance Marketing

Increasing Transparency

By releasing all the transaction data and automating the approval process with the use of an AI,
EARNET will bring transparency to web advertising.

Reducing Intermediate Fee

EARNET will reduce fees and increase return rate by utilizing an AI and samrt contracts.

Faster Payment Cycle

Tokenizing rewards will enable faster payment cycle.

Discovering New Values

An Ecosystem Built by Consumer, Publisher, and Advertiser

On EARNET, consumers, who have previously been involved only in consumption,
will be able to earn reward by participating in the advertisement network
(through actions, such as viewing ads, making purchase, and/or applying for membership).

Creating Brand New Points of Performance

With elements like blockchain, AI, and consumer participation,
EARNET will enable performance advertising with brand new points of performance.

Worldwide and Fair Trade

All values created on EARNET can be transfered using the EARNET token.
In other wards, advertisers and publishers will be able to
conduct global marketing without worrying about borders and fiats.

Technology to Support EARNET

Blockchain

Various performance-related factors are recorded on our blockchain.
(i.e. consumer actions, dates of actions, transaction results and reasons for results, etc.)
so that we can provide transparency in the marketplace.

AI

We will develop AI technology to automate and simplify the action approval process.
By utilizing our AI, phone conversation analysis and location-based service
can be used throughout the action approval process, resulting in the creation
of a variety of new performance measurements.

Known Issues

Low Transparency

Action approvals are NOT transparent at present because of human bias.

High Margins

Exploitative practices by intermediaries have been, and are still, a persistent problem.

Slow Payment

The cash conversion cycle is too time-consuming.
Additionally, minimum charges can create problems for media.

Solution

High Transparency

Various performance-related factors are recorded on our blockchain
as unchangeable data in order to bring about transparency in the marketplace.
For performances formerly judged by human (i.e. phone conversation and store traffic),
the action approval process will be automated by our AI and location-based service analysis.

Low Margins

In the existing performance marketing, there are Publishers (including individuals), Merchants,
and intermediaries (ASPs) that connects them.
Although some mediating process is necessary, EARNET will reduce the intermediate fee
as much as possible by automating the action approval process
and payment through the use of AI and smart contracts (SCs).

Fast Payment

The complicated triangle relationship between Merchants,
ASPs, and Publishers cause reward payment cycle to get delayed.
Also, due to the minimum payment threshold, small media and individual bloggers are often unable to receive reward.
On EARNET, rewards are paid in tokens on the spot when the action gets approved,
so the only transaction time it requires is the data transfer time between wallets.

Service

EARNET is a platform for decentralized advertisement marketing,
in which Merchants and Media Publishers can connect directly without intermediaries.
1. Media publishers can select the product and service advertisements
from  Merchants that they wish to promote on their sites and blogs from Merchants.
2. Consumers view ads published by Media.
3. Consumers perform an action set.  (i.e. purchasing services and products, applying for membership, etc.)
4. EARNET tokens are paid to Publishers from Merchants as Consumers' actions are approved.
Quality Controller: Gains EARNET tokens as rewards for controlling quality across the platform.
(i.e., reviewing advertisement quality.)

Benefit For Users

EARNET will be an advertisement platform with benefits for merchants, publishers, and consuemrs.

Benefits for Merchants

- In addition to be able to fix cost-effectiveness, which should be the original purpose of performance-based advertisement,
merchants will be able to significantly cut down on intermediate fees.

- There is no initial and monthly fees, so they only have to pay rewards when the pre-set approval conditions are met.

- Merchants can check up on publishers’ traffic and performance rate on the blockchain, and evaluate which publishers are effective affiliates.

- Since EARNET will enable easy deployment of global ad compaings, merchants can engage in global marketing with ease.

- In the cases of PPC ads and store traffic, which have been extremely difficulty to assess performances, the AI and consumer participation will realize fair and transparent assessment.

- The recovered tokens could be reinvested in to the next ad campaign.

Benefits for Publishers

- Publishers will be able to see merchants’ approval rates and other past records from the transparent database, and choose which ads to post.

- A fair performance assenssment will be done on PPC ads by using the AI.

- Since publishers’ performances are tokenied, they will be albe to receive rewards much faster than in the existing system.

Benefits for Consumers

- Consumers can ear the EARNET token as they participate and contribute to the platform.

- The earned tokens could be spent at the participating stores, EC, and onlie flee markets.

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Team

HORIGUCHI Yoshihiro / CEO

When the Internet begun to spread rapidly in Japan in 2000,
Horiguchi participated in founding an IT venture firm.
Horiguchi has involved in designing and managing an automobile database,
which covers all the automobile sales in Japan, and creating a website for a leading publisher.
After these projects, he has gone into the mobile phone industry and launched and managed
more than 40 projects of carrier official websites.
To pull in more customers, he has also involved in the development and operation of affiliate websites.
Meanwhile, from as early as 2006, he has designed a CMS for his firm’ s web-magazine and experienced SEO and UI design.
Eventually, he also has started editing the magazine.
From extensive knowledge in server and system of web service, operation, editing,
and PR, Horiguchi has practical experiences in various fields.

HIGA Norito / CTO

Higa is an engineer specializing in project management.
He has developed a product management system at a major web marketing firm.
After that, he became a director and project manager of an online-appointment system for medical institutions.
With a strong belief in blockchain as an innovative technology that will create a new future,
he has started researching the technology and its use-cases from 2017.
In addition, he has an experience in managing various projects for establishing nearshore posts and offshore development.

ENDO Ryuta / COO

After becoming salesperson at a major advertisement media firm and then at a human resource consulting firm,
Endo has involved in the project plannings and launches of a P2P communication application, PPA-based portal site,
and closed ASP, experiencing a supporting role for product promotion in various industries.
In order to resolve the issues and inconveniences of PPA advertisement business, he joined the EARNET project.

MASUMURA Daiki / CMO

After graduating from college, Masumura joined an IT company.
While he was involved in website building for domestic clients,
he felt that there is an imbalance between the large number of ongoing tasks
and the immaturity in web marketing business as a whole.
Now, he puts most of his energy in web marketing.
In terms of contents SEO, he has won the first place at big-word search result.
Masumura has joined the EARNET project to bring about an innovation in web-marketing strategy,
such as community formation and AirDrop, which follow the stream of existing social marketing and freemium model.