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دور تحليل البيانات الضخمة Big Data في توقع سلوك المشتري قبل ما يقرر الشراء

دور تحليل البيانات الضخمة Big Data في توقع سلوك المشتري قبل ما يقرر الشراء

Sahl Tuesday,07 Oct 2025
دور تحليل البيانات الضخمة Big Data في توقع سلوك المشتري قبل ما يقرر الشراء

In today's e-commerce world, success no longer depends solely on product quality or beautiful website design. The secret lies in big data analysis—the technology that enables online stores to understand their customers so deeply, they can predict what they will buy before they even click "add to cart"!
In Saudi Arabia, with the expansion of online stores and the support of Vision 2030 for digital transformation, data analysis has become an essential element in building a sophisticated and intelligent shopping experience.
1. What is meant by big data?
Big data is all the information that stores collect about their customers:
* What products do they browse?
* How often do they visit the website?
* What items do they add to the cart?
* Even their browsing times and purchasing habits!
All this data, when collected from thousands of users, becomes a huge treasure trove that retailers can use to predict each customer's next move.
2. How does big data help understand buyer behavior?
Data analysis is not just numbers; it's a tool for understanding the customer's "buying mindset." For example:
If the system notices that Saudi customers purchase certain products more often in the evening or on weekends, the store can prepare special offers for that period.
If it discovers that a certain segment is interested in related products, it can suggest "similar products" to them and increase smart sales without direct advertising.
3. Predicting Before a Purchase Decision
Modern technologies such as artificial intelligence and big data analytics can predict buyer behavior.
For example, if a customer frequently visits a specific product page, the smart system can send them a notification or a simple discount to encourage them to purchase.
Thus, the store is one step ahead of the customer's thinking and turns their intention into an actual purchase.
4. Examples from the Saudi Market
Many online stores in Saudi Arabia, such as fashion, perfume, and electronics stores, have begun to rely on big data analytics systems.
These systems monitor user activity, infer their purchasing patterns, and use them to customize offers to each customer based on their interests.
For example, a Saudi store might send a special offer for a new perfume based on the customer's purchase of a similar perfume two months ago—this is smart marketing.
5. The Role of Data in Building a Long-Term Customer Relationship
Big data analysis doesn't stop at the point of purchase; it continues even after the transaction.
The store can determine which products the customer liked, which ones they returned, and how many times they visited the website after purchase.
All this information is used to build an ongoing relationship with the customer through personalized offers and follow-up messages, which increases customer loyalty and trust in the store.
6. The Challenge: Privacy and Data Protection
Despite the significant benefits of data analysis, a significant challenge remains: protecting customer privacy.
Saudi stores are required to follow strict data protection systems, especially with the new regulations in the Kingdom that aim to protect consumers from data misuse.
Therefore, the optimal solution is to use modern technologies such as blockchain or data encryption to ensure complete security.
7. Supporting Vision 2030 for Smart Digital Transformation
The Kingdom's Vision 2030 supports innovation and reliance on smart data analysis in various sectors, most notably e-commerce.
Through big data, Saudi stores can provide a personalized and globally competitive shopping experience and improve the quality of services provided to Saudi and resident customers.
Big data analytics has become a strategic weapon for e-commerce stores in Saudi Arabia. It not only helps them understand what customers want, but also predicts what they will buy next. With the ongoing digital transformation and government support for modern technologies, stores that invest in data analytics today will be at the forefront of the market tomorrow, because they possess the most important thing in the world of modern commerce: understanding the customer before they decide to buy.

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