There is a high demand for residential real estate because of India's 12,75 million backlog in 2020, which indicates that 12,75 million families do not own a home. Numerous residential real estate firms cater to the low-income market. One of them, a residential property developer for whom the author conducts research, is among the residential property firms currently facing a drop in sales. They sell homes in Chennai's low-income neighborhood. Therefore, this segment's purchasing power decreases when a pandemic strikes. They prioritize purchasing necessities like food and drink, delaying the purchase of a home until their economy improves. In this case, the business needs to either modify the product to remain affordable for this market segment or change the market segment to target new potential customers. According to initial research, the author discovered that people are increasingly using online channels instead of offline ones when looking for a home. Finding the elements that affect residential property company home sales and boosting home product sales are the goals of this study. Both qualitative and quantitative methods are used in this study. The business owner and employees were interviewed as part of the qualitative method used in the initial research. The quantitative approach used in questionnaires given to prospective clients. 200 respondents were selected for the study's sample using non-probability sampling. A five-level Likert scale, which represents an interval scale, will be used in the survey. Validity tests, reliability tests, and hypothesis testing with SPSS are the data analysis techniques that are employed. According to the study's findings, purchase intention is significantly influenced by product attributes, online and social media marketing, sales promotion, and advertising.