Relationship marketing is a framework in which marketers aim to build two-way bonds with their customers, with the result of long-term benefits to both parties. The rise of social media and the prominence of digital marketing in general, including targeted ads, commercial websites, and email campaigns, has increased the potential for brands and organizations to build such relationships with current and potential customers over time. In the realm of politics, digital marketing has been brought to the mainstream throughout the last decade and its prominence in presidential campaigns has increased ever since, closing the gap in communication between voters, organizations, and candidates. This thesis is an exploration of the effect digital marketing had on Arizona State University students’ perceptions of the presidential candidates and political organizations targeting them during the 2020 election season. The ASU Young Democrats, ASU College Republicans, ASU Undergraduate Student Government, and the 2020 Trump and Biden campaigns were studied through three methods: an analysis of each organization’s marketing tactics through the lens of relationship marketing, interviews with each ASU subject, and a survey of 328 students. The conclusion offers recommendations to each subject based on hypotheses formulated from the analyses and discusses the interrelationship that subjects’ relationship marketing strengths and weaknesses had with students’ views of each organization relative to their desired perceptions.
This work details the process of designing and implementing an embedded system
utilized to take measurements from a water cooler and post that data onto a publicly accessible web server. It embraces the Web 4.0, Internet of Things, mindset of making everyday appliances web accessible. The project was designed to satisfy the needs of a local faculty member who wished to know the water levels available in his office water cooler, potentially saving him the disappointment of discovering an empty container.
This project utilizes an Arduino microprocessor, an ESP 8266 Wi-Fi module, and a variety of sensors to detect water levels in filtered water unit located on the fourth floor of the the Brickyard Building, BYENG, at Arizona State University. This implementation will not interfere with the system already set in place to store and transfer water. The level of accuracy in water levels is expected to give the ability to discern +/- 1.5 liters of water. This system will send will send information to a created web service from which anyone with internet capabilities can gain access. The interface will display current water levels and attempt to predict at what time the water levels will be depleted. In the short term, this information will be useful for individuals on the floor to discern when they are able to extract water from the system. Overtime, the information this system gathers will map the drinking trends of the floor and can allow for a scheduling of water delivery that is more consistent with the demand of those working on the floor.