Transformation of Consumer Buying Interest After The Pandemic COVID-19 in Shopee E-Commerce
Abstract
Digital marketing has become one of the most effective strategies for influencing consumer purchasing decisions in the digital age. The development of technology and the internet has significantly changed how companies communicate with consumers, allowing them to reach a wider audience through various digital platforms such as social media, websites, and e-commerce. In addition to increasing brand awareness, digital marketing can influence consumer preferences and behavior through a more personalized approach and customized experience. This study aims to analyze the effect of price, social media usage, and location on consumer buying interest on the Shopee platform. The research method used is quantitative, with primary data collection through electronic questionnaires distributed to 100 respondents. The collected data is processed using SmartPLS software with multiple linear regression analysis. The analysis results show that the price variable positively and significantly affects consumer buying interest, with a coefficient of 0.503, a t-statistic of 6.234, and a P value of 0.000. Meanwhile, the social media usage variable shows a positive but insignificant effect, with a coefficient of 0.138, a t-statistic of 1.404, and a P value of 0.164. On the other hand, the location variable has a positive and significant influence on consumer purchase intention, with a coefficient of 0.316, a t-statistic of 3.634, and a P-value of 0.000. This study concludes that price and location play a more significant role in influencing consumer purchasing decisions in post-pandemic e-commerce. The findings provide important implications for marketing strategy development and business adaptation, especially by emphasizing the importance of competitive pricing and delivery convenience as the main factors driving consumer purchase intention.
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