Examples of Fraudulent Traffic in a sentence
Publisher Fraud Publisher will establish, implement and use all commercially reasonable technology and methodologies to: (i) prevent Fraudulent Traffic (as such term is defined below); (ii) detect Fraudulent Traffic should it occur; and (iii) promptly take steps to prevent continuation and/or recurrence of occurrences thereof.
The aim of this system is to eliminate illegal and Fraudulent Traffic Terminated in these Countries and increase traffic reporting transparency.
The design document should include an O&M Plan identifying the mitigation goals and objectives, performance measures, and contingencies.
The Administrator shall be entitled to determine, upon its absolute and sole discretion when the activity of the Affiliate or its results are deemed to be Fraudulent Traffic.
Administrator shall be entitled to determine upon its absolute and sole discretion when the activity of the Affiliate or its results are deemed to be Fraudulent Traffic.
In the context of ad verification, two types of fraud can be encountered – Placement Fraud and Fraudulent Traffic.
Fraudulent Traffic includes, but is not limited to, Spam or Unsolicited Promotions, deposits generated by stolen or lost payment cards / hacked crypto wallets, collusion, offers to share the Affiliate Fee to become a Qualified User, unauthorized use of any third parties’ accounts or intellectual property of the Group and/or any third party.
Fraudulent Traffic is machine generated traffic which is not observable by a user that increments ad measurements inappropriately.
Fraudulent Traffic includes, but is not limited to, Spam or Unsolicited Promotions, deposits generated by stolen or lost payment cards, collusion, offers to share the Affiliate Fee to become a Qualified Trader, unauthorized use of any third parties’ accounts or intellectual property of the Group and/or any third party.
Furthermore, each database has a specific introduction and critical comments [the “Stand-alone Quality Report” after (McCoy, 2017)], which contains detailed infor- mation on the data’s quality and nature, collection methodology, strengths, pitfalls and gaps.