Progress in Machines and Systems Hani K. M, Abd El-Salam 6 2 2017 http://www.dline.info/pms/fulltext/v6n2/pmsv6n2_1.pdf The extravagance of the nano-Product electronic channel media and/or digital data is no longer a (nano- Product-big-data) facet, where “True Satisfaction” green understanding of an green Electronic Marketing (e-M) (datainformation- knowledge strategic-to-operational) management; is provoking and sharing the green satisfaction multidimensional inter-disciplinary and cross-disciplinary, resources data, experience information, consequences knowledge implications of all participant actors in an nano-Product e-M satisfaction true process environment. The “True Satisfaction” logic argues; that operational qualitative information research facilitates and illustrates strategic quantitative data research, and quantitative research does the same rote, where both approaches shape the available User Satisfaction (US) green functional data-information suitability and nano-composite Product Satisfaction (PS) context strategic-to-operational completeness interoperability, in an accumulative e-M Environment (e-ME) knowledge ability, to shape an green intentional logical satisfaction perspective knowledge. While the framework semantic; convoys that, “Green nano-composite e-M implementation research methodology is; the green satisfaction projection and projection inferences of, US qualitative strategic physiological requirements, upon the PS quantitative operational physiological requirements, for a nano entity investigation of green theoretical, intentional perspective and philosophical satisfaction backgrounds.”. Consequentially, the implementation technology mechanism; is, deciding the US measurements and targets, linking US strategies too PS processes, and US green nano-composite strategy formulation, of both green quantitative and qualitative satisfaction research approaches, where they are strategically alignment, convoyed with integrity development, and implemented consuming transformation logic evaluation, in parallel with satisfaction web analytics knowledge production, validation process and integration perspective’s; nonetheless the data-information-knowledge web analytics evaluation, of green “true satisfaction” inference implication, for US over PS research mechanisms is obtainable in the same one, green semantic process methodology.