Data Structures and Algorithms

   

Whitepaper V.1.2

Authors: Lucidity

The digital advertising ecosystem isn’t in a great place. While growth in digital is booming, the most essential members of the ecosystem (namely advertisers and publishers) are frustrated and powerless in the face of an increasingly apparent reality: digital advertising has a transparency problem. In an age where measuring the performance of ad campaigns is paramount, marketers are unable to fully understand the value they deliver. As has become true for most industries, data is the key to measuring performance. But in advertising, data is trapped and siloed in black box technologies, causing data disagreements and opening the door for fraudulent activities. The end result? Waste. Wasted money. Wasted time. Lucidity has built a blockchain-based solution (with five patents filed) that solves these issues. We provide advertisers with a unified set of data, free of discrepancies and fraud, that they can use to gauge their effectiveness. We provide publishers with a way to prove the value of their inventory and avoid identity theft. And we’ve built the only advertising focused blockchain technology to-date that doesn’t require advertisers and agencies to change their work flow or set up integrations. In the following whitepaper, we will outline in detail the problems we’re solving, how we solve it, and the team that’s bringing it all together.

Comments: 17 Pages.

Download: PDF

Submission history

[v1] 2019-05-13 12:12:22

Unique-IP document downloads: 33 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus