Serial Number
90646252
Owner
PROPENSELY INC.Attorney
Shih-Chun HouFirst Use Date
Jul 1, 2020
Filing Date
Apr 14, 2021
PROPENSELY Trademark
Serial Number: 90646252 • Registration: 6882557
Trademark Classes
Owner Contact Info
Legal Representation
Attorney of Record
Shih-Chun HouTrademark Details
Filing Date
April 14, 2021
Registration Date
October 25, 2022
First Use Anywhere
July 1, 2020
First Use in Commerce
July 1, 2020
Published for Opposition
August 9, 2022
Goods & Services
Business advisory services in the field of data collection, preparation, composition, storage, processing, acquisition, and provision of business information into databases; Business consulting services in the field of management and marketing, including business website traffic, website e-commerce, website e-commerce checkout management, and conversion rate optimization (CRO); Business marketing consulting services; Business monitoring and consulting services, namely, tracking web sites and applications of others to provide strategy, insight, marketing, sales, operation, product design, particularly specializing in the use of analytic and statistic models for the understanding and predicting of consumers, businesses, and market trends and actions; Collection and compilation of information into computer databases in the field of marketing and business management consultation; Compiling of information into computer databases; Consultation services, namely, creative and strategic consultation regarding development and production of marketing campaigns for others; Data processing services; Data processing services in the field of marketing and business management
Software as a service (SAAS) services featuring software using artificial intelligence for website traffic data acquisition, marketing performance and advertising revenue optimization analysis, generation of strategies for advertising placement personalization, advertising content targeting, consumer behavioral targeting for marketing purposes, analysis of market segmentation of consumer product purchases, predictive analytics of consumer purchasing behavior, A/B testing, and multivariate testing with machine learning on or through websites and applications