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Data-driven marketing is a process used by marketers to gain insights and identify trends about consumers and how they behave — what they buy, the effectiveness of ads, and how they browse. Modern solutions rely on big data strategies and collect information about consumer interactions and engagements to generate predictions about future behaviors. This kind of analysis involves understanding the data that is already present, the data that can be acquired, and how to organize, analyze, and apply that data to better marketing efforts. The intended goal is generally to enhance and personalize the customer experience. The market research allows for a comprehensive study of preferences.
References
- ↑ "Wendy W. Moe Joins Maryland Smith Senior Leadership Team". www.prnewswire.com (Press release). Retrieved 3 March 2019.
- ↑ "As demand for big data analysts grows, schools rush to graduate students with necessary skills". Washington Post. Retrieved 26 April 2016.
- ↑ "Customers, Social Media and the Internet's Silent Majority". Freakonomics. Retrieved 26 April 2016.
- ↑ "Business Rx: Social media provide valuable way to get customer feedback". Washington Post. Retrieved 26 April 2016.
- ↑ "Emerging Research in Social Media Intelligence". MSI.org. Retrieved 26 April 2016.
- ↑ Vedantam, Shankar. "Encouraging TV Binge Watching May Backfire On Advertisers". NPR.org. Retrieved 26 April 2016.
- ↑ "Wendy Moe CV"
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