Amazon doesn't just collect data

[taniyabithi]

Purchase History: The most obvious and influential factor. Amazon tracks what you've bought, allowing for highly targeted recommendations for complementary products or repeat purchases.
Browse Behavior: What products are viewed, for how long, and how often? This provides insights into customer interests and purchase intent.
Engagement Levels: This includes frequency of visits, time spent on the site, clicks on emails, and interactions with different features.
User Status (e.g., Prime Members vs. Non-Prime): Prime members are a highly valued segment, demonstrating higher purchase frequency and loyalty due to benefits like free shipping and streaming services country email list Amazon tailors exclusive deals and content for this group.
Cart Abandonment: Customers who add items to their cart but don't complete the purchase are a prime target for re-engagement efforts, often through personalized email reminders or discounts.
Device Usage: Whether a customer shops on a desktop, mobile app, or smart speaker can influence the type of content and offers they receive.
Psychographic Segmentation: Delving into the psychological traits, values, interests, and lifestyles of customers. This provides a deeper understanding of their motivations.

Interests/Hobbies: Beyond direct purchases, Amazon can infer interests from Browse patterns (e.g., a customer consistently looking at hiking gear might be interested in outdoor lifestyle products).
Values/Beliefs: While harder to directly measure, some products or brands appeal to specific values (e.g., eco-conscious consumers might be targeted with sustainable products).
Lifestyle: Whether a customer is a busy professional, a stay-at-home parent, or a fitness enthusiast influences their needs and purchasing habits.

it actively uses it to implement powerful strategies:

Personalized Recommendations: The iconic "Customers who viewed this item also viewed" or "Recommended for you" sections are powered by collaborative filtering and machine learning algorithms that analyze vast amounts of behavioral data.
Targeted Promotions and Discounts: Specific customer segments receive tailored offers, such as discounts on frequently purchased items, promotions to re-engage inactive customers, or exclusive deals for Prime members.