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To paint a complete picture of the sales impact, both quantitative and qualitative data are needed. The quantitative data provides concrete numbers, and the qualitative provides the 'why' behind the numbers. Quantitative data includes sales figures, market share data, and financial performance metrics. Analysis of this data can help determine the size of the impact on Coca-Cola's bottom line. For instance, did the boycott cause a significant drop in revenue or a decrease in profits? Did the stock price take a hit? These figures give a tangible measure of the boycott's effect. Qualitative data provides context and explains the reasons behind the numbers. This data includes media coverage of the boycott, consumer sentiment expressed in social media, and customer feedback. By analyzing this data, we can understand the factors that influenced consumer behavior during the boycott. For example, why did some consumers stop buying Coca-Cola products, while others did not? Did the boycott effectively raise awareness about the issues at hand? Did it change the company's reputation? Combining these two types of data provides a thorough understanding of the sales impact of the boycott. The numbers tell the story, and the context explains it.
