UBEX Bounty & Airdrop

Advantages of Ubex in comparison with other advertising exchanges:

Neural networks maximize purchasing efficiency: At the heart of Ubex’s advertising purchasing algorithms lie neural networks that process information about each visitor to the member networks’ websites. The neural networksevaluate the interests of users, calculate the likelihood of targeted actions for all advertiser offers, and choose the most suitable advertisement.

Blockchain-based smart contracts minimize participants’ risks: Ubex aims to solve the problem of low confidence in the purchase of digital advertising. Smart contracts allow for making the relationship of advertisers and publishers (owners of ad slots on sites) as transparent and fair as possible, as well as minimizing the risks for all parties.

The market
What is programmatic advertising? In plain English, it is buying real-time advertising on the basis of an auction. The concept of the software is definitely broader and includes limited auctions and direct sales of advertising as well. In general, programmatic advertising is a set of methods for purchasing advertisements on the internet using automated systems and algorithms to make decisions about a transaction without human participation based on socio-demographic and behavioral data about users available to both the platform and the advertiser.

Advertisers: problem and solution
Advertisers lose money on every attracted buyer because of the traditional approach to advertising purchases. In most cases, advertisers are forced to incur excessively high costs to attract buyers for three reasons:

1. Presence of brokers => high commissions (Effect on customer acquisition cost: ± 30%) There is no single instrument by which a large advertiser could easily filter out the most effective websites for their advertising and remain certain that their media budget for digital
   advertising would be spent efficiently. In addition, the budgetary policies of large companies often do not possess sufficient flexibility to allow employees to purchase advertising slots on various websites (which belong to different legal entities) in the volumes necessary.
2. Pay per click => Risk of fraud (Effect on customer acquisition cost: ± 30%) There are various models of payment for digital advertising. In most cases, advertisers are forced to accept the pay-per-click model, and thus carry the publisher’s risk of fraud. Despite its convenience for publishers, the pay-per-click model often creates incentives for fraud. Fraud, in its most basic form of explanation, is an imitation of the actions of real users, aimed at achieving KPIs set by the advertiser, thus inflating targeted actions artificially,
   and, as a result, obtaining higher payments for no concrete feedback at the expense of the advertiser. The amount of fraud in the programmatic segment has reached critical levels.
3. Weak algorithms => Inefficient targeting (Effect on customer acquisition cost: ± 20%) Current algorithms demonstrate advertising to users who do not constitute part of the target audience of the advertiser’s product. This reduces conversions to purchases, both with the pay-per-click model, and when paying for targeted actions (in the event that the targeted action is higher in the conversion funnel than the actual purchase)

Publishers: problem and solution
Publishers are not getting enough revenue from their advertising slots because of a suboptimal sales system. There are several barriers that prevent publishers from maximizing revenue and contributing more funds in the growth of user engagement:

1. Low efficiency of purchasing algorithms => Suboptimal loads of advertising slots Even in the case of a high volume of high-quality user traffic, whose profile is ideal for certain advertisers, according to both socio-demographic parameters and interests, publishers may experience problems with loading ad slots. Such “gaps” in the effectiveness of current sites, allocated for the purchase and sale of
   advertising, arise because of the imperfect nature of algorithms designed for distributing offers among publishers’ advertising slots.
2. Inefficient targeting => Low number of targeted actions Due to the imperfections of the targeting algorithms available on the market, with some rare exceptions, advertisers are forced to adhere to the proverbial strategy of “shooting sparrows from cannons”, trying to reach their target audience with a certain margin to spare. In addition to the irrational use of advertising budgets, the reverse side of this approach is the immense amount of irrelevant advertising on publishers’ websites, which means that each ad slot attracts a relatively small number of targeted actions. In turn, the less targeted the ad slot attracts, the lower the publisher’s revenue via the COST PER ACTION payment model.
3. Lack of transparency on the part of advertisers => Problems of non-payment of advertising costs Three key risks exist for publishers when working on the basis of the COST PER ACTION model:
   (a) Shaving is the concealment, by the advertiser, of the fact of fulfillment of a targeted action by a user, attracted by advertising to the publisher’s website. (b) Failure to pay for advertising for verified targeted actions by both parties leads to court
   lawsuits on debt collection, which in itself is an expensive and laborious process for the publisher.
   (c) Late payment of advertising is more common than failure of payment in principle, but also detrimental to the financial performance of the publisher (increase in the volume of illiquid accounts receivable in assets to the detriment of additional working capital). The solution to the problem of shaving risks, non-payment for services or delays in payments for advertising by advertisers is achieved in Ubex through the application of three mechanisms based on blockchain technology:
   (i) Tracking. When connecting to the Ubex advertising exchange, advertisers and publishers install tracking services. It is possible to track user behavior at all stages of the conversion funnel with the help of such tracking services.
   (ii) The rating mechanism. A multi-level system of rating of counterparties on the Ubex advertising exchange takes into account all the transactions that system participants had ever concluded, the volume of these transactions, the timeliness of payments, as well as all
   complaints, claims and reviews following the results of fulfilled or canceled transactions.
   (iii) Escrow / factoring. Ubex solves the problem of late payments through the use of a crypto-financial platform allowing instant payments and verification of smart contracts on the one hand and keeping advertisers’ budgets in escrow on the other.