The Dayta Dapp will enable user to manage, monitor and trade their personal data for a profit. Users will be able to manage who has their data, monitor where it is being used and why and trade access to their personal data in exchange for remunerative recognition of our greatest commodity, our identity.
Contracts totalling over $1,000 per month are realistic in a data and marketing industry with significant funding.
Dayta Dapp services will include:
- Login / Authentication
- Personal Data Menu
- Personal Data Locker
- Personal Data Usage
- Dayta Mart
- Dayta Contracts
- Dayta Consent Agreements
- Dayta Store
Note: The prototype will have reduced functionality until the ICO succeeds in building the Dayta token ecosystem
Marketing services spending worldwide in 2018 is projected to surpass $600 billion. In the US advertising spend will hit $300 billion from 2018. This comes to a cost of between $1,000 to $1,500 per person.
At such cost, with so many intermediary marketing and advertising agencies, data analytics companies, data storage and customer research agencies, should companies not share some of the cost with us?
Our data is being used to produce expensive demographic and behavioural data, including our personal data, with each company you have a relationship with profiting from trading this data amongst thousands of others.
Based on our analysis, each user of the Dayta Dapp can profit from $250 to $1,000 / month from c50 contract agreements to share their data with companies, many of whom they already have a relationship with.
The figures cited are realistic in that companies will understand the value of a customer that commits to actively sharing their data for commercial reasons such as marketing or customer research.
As companies realise Dayta-engaged customers respond better to marketing and are proactive with their brand awareness and recognition, more and more companies will want to list their requests to the Dayta Mart.
It is time we truly disrupted the marketing industry from the outside in and decentralized the power of our own data.