Marketing Glossary

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Big Data

Definition: Extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions.

In Practice: Retailers like Walmart use Big Data to predict what products you will buy based on weather forecasts, past purchases, and search history, allowing them to stock shelves proactively.

Consumer Psychology

Definition: The study of how people’s thoughts, beliefs, feelings, and perceptions influence how they buy and relate to goods and services.

ROI

Definition: Return on Investment. A performance measure used to evaluate the efficiency of an investment.

Funnel (Marketing Funnel)

Definition: A model describing the various stages of a customer’s journey from the first interaction with a brand to the ultimate purchase.

In Practice: Using a blog post to attract visitors (Top of Funnel), offering an ebook to get their email (Middle of Funnel), and sending a discount code to close the sale (Bottom of Funnel).

Big Data: How Stores Know What You Want Before You Do

Have you ever felt like a store or an app read your mind, suggesting exactly what you needed right before you even searched for it? This is not magic; it is the mathematical power of modern consumer research.

The Core Concept

Every single day, we generate massive amounts of information. Every time you swipe a credit card, use your smartphone’s GPS, or interact on social media, you leave a digital footprint. The collection and analysis of these extremely large datasets is known as Big Data. Marketers use this incredible amount of information to make precise predictions about what products you will buy and when you will buy them.

The Marketing Lens & ROI

Let’s look at how this creates a massive Return on Investment (ROI) using a famous example from Walmart. Walmart stores massive amounts of information on the 100 million people who visit its stores each week.

When analyzing how shoppers’ buying patterns react before a major hurricane, Walmart’s data revealed something surprising: sales of strawberry Pop-Tarts increased by about 700%, and the top-selling product was actually beer. Based on these insights, Walmart did not just wait for customers to arrive. They proactively loaded their trucks with toaster pastries and six-packs to stock local stores before the storm hit.

By understanding Big Data, companies do not just guess what you want—they know it. This allows them to move quickly, meet consumer needs instantly, and maximize their financial returns.

(Data source: The New York Times)

Question for You

Have you ever received a product recommendation online that felt a little too accurate?

May 2026
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