TY - BOOK AU - Acosta, Alyssa AU - Camporedondo, Lennox AU - Hernandez III, Reynaldo AU - Mendoza, Camilla Angela TI - Effects of online marketing and selling to the sales revenue of local apparel businesses in Tagaytay City KW - online marketing KW - selling KW - sales revenue KW - business KW - social media KW - apparel N1 - I. ABSTRACT Since most people rely on social media, everything they need can be found online. Different businesses, such as local apparel, also engage in online marketing and selling. Through online marketing and selling, companies could boost their products, gain more buyers, and increase their sales. This study aims to know the effects of online marketing and selling on the sales revenue of local apparel businesses. This study used a descriptive research design. The researchers used adapted questionnaires. The total number of respondents was 55 local apparel business owners in Tagaytay City. Frequency count, percent, and weighted mean were the tools used to analyze the data. Analysis of variance (ANOVA) was also used to assess variance from several groups. As the data gathered were analyzed, the researchers concluded that most respondents were 4-6 years old and 7-9 years old in their businesses. Also, 25,001-50,000 was the majority of the monthly sales of the respondents. They use Facebook to sell and promote their products online. Local apparel business owners agreed that having good customer relationships helps them increase their sales revenue by having faster communication with customers. Moreover, improving customer satisfaction also helps them boost their sales. New customers and increasing productivity in making the brand known are also factors in business growth. The researchers suggest that local apparel business owners must maintain knowledge regarding the effects of online marketing and selling on their sales revenue. However, even though the brand awareness category has a very high effect on increasing sales revenue, local apparel business owners should also focus on improving it because it has the lowest mean of all the categories ER -