REVAGROW Trademark
Serial Number: 86330120
Trademark Classes
Class 9 - Computers & Electronics
Scientific, nautical, surveying, photographic, cinematographic, optical apparatus and instruments
Class 42 - Computer & Scientific
Scientific and technological services; industrial analysis and research services
Class 35 - Advertising & Business
Advertising; business management; business administration; office functions
Owner Contact Info
Legal Representation
Trademark Details
Filing Date
July 7, 2014
Registration Date
Not Registered
Published for Opposition
June 9, 2015
Goods & Services
Computer software that provides access to services through a web operating system or portal interface, namely, process and optimization software, and more particularly to computer predictive models of consumer, healthcare provider, and payer segment data to generate a flexible, responsive and adaptive promotional campaign for growing and retaining the value of prescription brand drugs during the drug's lifecycle including its launch phase, growth phase as well as the phase around the time of loss of exclusivity
Business consulting and advisory services in the field of life sciences; Market research and marketing consulting services in the field of life sciences; Business management consulting services in the field of life sciences
Software as a service (SAAS) services featuring software in the field of life sciences featuring finance, analytics, metrics and business strategy tools, namely, process and optimization software, and more particularly to computer predictive models of consumer, healthcare provider, and payer segment data to generate a flexible, responsive and adaptive promotional campaign for growing and retaining the value of prescription brand drugs during the drug's lifecycle including its launch phase, growth phase as well as the phase around the time of loss of exclusivity; Cloud computing featuring software for use in the field of life sciences featuring finance, analytics, metrics and business strategy tools, namely, process and optimization software, and more particularly to computer predictive models of consumer, healthcare provider, and payer segment data to generate a flexible, responsive and adaptive promotional campaign for growing and retaining the value of prescription brand drugs during the drug's lifecycle including its launch phase, growth phase as well as the phase around the time of loss of exclusivity
