Tag: amazon

One of the most important findings in this analysis is how customer engagement affects purchasing behavior. At a baseline level, the probability of a customer making a purchase is about 26%. However, when a customer clicks on a promotional banner, that probability increases to approximately 55.5%. This shows that engagement more than doubles the likelihood…

In promotional campaigns where a winner is selected, fairness is critical. In this scenario, each customer segment has an equal probability of 25% when selecting a winner from a pool of participants. While this ensures fairness in theory, there are still potential risks that must be managed. These include duplicate entries, system manipulation, or uneven…

Probability plays an important role in understanding customer behavior. In this dataset, approximately 51.25% of customers are female, showing a slight majority across the overall population. However, when looking at specific segments, the distribution changes. For example, only about 30% of customers in the Tech Enthusiasts group are female. This shows that individual segments may…

Amazon’s customer base can be divided into four main segments: Prime Loyalists, Value Seekers, Emerging Households, and Tech Enthusiasts. Each group has different behaviors and preferences. Prime Loyalists tend to purchase frequently and value convenience. Value Seekers focus on price and discounts, while Emerging Households prioritize essential items. Tech Enthusiasts are more interested in electronics…

Amazon can increase customer engagement and spending by introducing the Smart Basket Golden Ticket Event. Instead of offering traditional discounts, this strategy uses a reward-based system where customers receive entries into a prize drawing when they make qualifying purchases. This approach encourages customers to spend more while also increasing order frequency. Rather than focusing only…