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The Role of Twitter Medium in Business with Regression Analysis and Statistical Modelling
Jia Cong1, Zubair Ahmad2, Basim S O Alsaedi3
1Marketing Department, Management School, Lancaster University, Lancaster, UK.
Twitter advertising positively impacts sales, according to this study. Researchers used linear regression and statistical tests to analyze Twitter's effect on sales, introducing a new statistical model for financial applications.
Area of Science:
- Marketing and Sales Analytics
- Statistical Modeling
- Social Media Marketing
Background:
- Marketing strategies are crucial for promoting brands and influencing sales.
- Online advertising, particularly on social media, is a key component of modern marketing.
- Twitter is a significant online platform for marketers to reach potential customers.
Purpose of the Study:
- To investigate the impact of Twitter advertising on product and service sales.
- To assess the statistical significance and utility of Twitter advertising campaigns.
- To introduce and validate a novel statistical model for financial and sales data analysis.
Main Methods:
- Simple linear regression modeling was employed to analyze the relationship between Twitter advertising and sales.
- Statistical tests, including the t-test and correlation test, were utilized to validate hypotheses.
- A new statistical model, the exponential T-X exponentiated exponential distribution, was developed.
Main Results:
- Twitter advertising demonstrates a statistically significant positive impact on sales.
- The newly introduced exponential T-X exponentiated exponential model exhibits heavy-tailed characteristics.
- The proposed model's applicability was successfully demonstrated using sales data.
Conclusions:
- Twitter advertising is an effective tool for increasing sales.
- The novel exponential T-X exponentiated exponential model offers valuable properties for financial and sales-related analyses.
- The study confirms the positive influence of social media marketing on business outcomes.
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