FIRST-PARTY CONTEXTUAL ONBOARDING
Dead / Abandoned — Abandoned — failure to respond (as of 14 Mar 2022)
What this means for you
This application is over — abandoned 01 Mar 2022. The name may be available, but check before relying on it — rights can also come from actual use, not only from the register.
Record
- Serial number
- 90727074
- Mark type
- Stylized text
- Filed
- 21 May 2021
- Abandoned
- 01 Mar 2022
- Attorney of record
- Ilya Libenzon
Goods and services
- Class 042 — Scientific and technological services: Providing on-line non-downloadable software for advertisers, publishers and data providers that have, and are currently using first-party audiences to inform their media and are looking for a way to continue to reach their audiences when cookies go away, thereby leveraging their investment in cookie-based data, generating reports to easily understand where the audience being targeted with first party data spends their time, performing data analysis and generating analytics reports optimized to only target contexts and signals that produced better than average results, optimized by avoiding contexts and signals that are bringing down the performance of your campaign, and optimizing the price you pay by context or signal, and increasing the bid price on inventory over performing, and reducing bid prices on inventory that is under performing, performing data analysis using natural language processing (NLP) and machine learning (ML) methods; Software as a service (SAAS) services featuring software for advertisers, publishers and data providers that have, and are currently using first-party audiences to inform their media and are looking for a way to continue to reach their audiences when cookies go away, thereby leveraging their investment in cookie-based data, generating reports to easily understand where the audience being targeted with first party data spends their time, performing data analysis and generating analytics reports optimized to only target contexts and signals that produced better than average results, optimized by avoiding contexts and signals that are bringing down the performance of your campaign, and optimizing the price you pay by context or signal, and increasing the bid price on inventory over performing, and reducing bid prices on inventory that is under performing, performing data analysis using natural language processing (NLP) and machine learning (ML) methods
Owner
- P39 Tech, LLC, New York, NY, US
Prosecution history
- 14 Mar 2022 — ABANDONMENT NOTICE E-MAILED - FAILURE TO RESPOND
- 14 Mar 2022 — ABANDONMENT - FAILURE TO RESPOND OR LATE RESPONSE
- 27 Aug 2021 — NOTIFICATION OF NON-FINAL ACTION E-MAILED
- 27 Aug 2021 — NON-FINAL ACTION E-MAILED
- 27 Aug 2021 — NON-FINAL ACTION WRITTEN
- 24 Aug 2021 — ASSIGNED TO EXAMINER
- 18 Aug 2021 — NEW APPLICATION OFFICE SUPPLIED DATA ENTERED
- 25 May 2021 — NEW APPLICATION ENTERED