Why Consumer Behavior Analysis Is Essential For eCommerce business?
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• “Know Your Customer” is currently the success mantra for the eCommerce sector as they adopt innovative ways of tracking the customer’s online journey and how to serve them more efficiently. • As a result, analytical technologies like Cloud data analytics for eCommerce are being deployed to get a deeper understanding of customer behavior.
What is Consumer Behavior Analysis?
In simple language, consumer behavior analysis (also known as customer behavior analysis) is a data-powered observation of online consumers and how they interact with your company
Behavioral analysis in eCommerce can be used to categorize consumers on the 3 following behaviors, namely:
1: Browsing behavior
• How the online shopper is attracted to a particular eCommerce store? • What products do they search for on the eCommerce store? • How does a personalized landing page design influence their conversions?
2: Purchasin g behavior
• Buying patterns (example, seasonal purchases or a preference for a particular product category) • How shoppers respond to promotional activities like product discounting or special offers.
3: Email behavior
• The number of business emails that were opened by consumers • The number of users who opened (or clicked) the emails • The number of emails that prompted a website visit or an online purchase
How Consumer Behavior Analysis Benefits eCommerce Business
A notable eCommerce company needed the right technology to provide a comprehensive view of its customer behavior across different cloud-powered platforms and marketing activities.
Their current infrastructure lacked enough capability in achieving the following business objectives: • Managing and scaling the growing volume of business data from multiple sources. • Leveraging the complete benefits of online consumer behavior data. • Responding efficiently (with shorter lead times) to businessrelated queries from their internal processes.
 Which are the key metrics or KPIs that can be used to measure consumer behavior
1: Average Session Time
The average session time is a good indicator of how long consumers spend on your website. Longer session times indicate a higher likelihood that the session will end with an online purchase.
2: Pages per visit • This is an effective metric for analyzing customer behavior for measuring the number of pages (or content) being viewed by shoppers in every visit. • Based on this metric, you can identify the most (or least) viewed website pages and work on their respective strengths and weaknesses.
3: Traffic flow • The online traffic flow is an efficient metric in monitoring how consumers move (or navigate) through your store pages. • Traffic flow can indicate the online store pages that are most attractive to shoppers.
4: Customer Loyalty • Whether it is through free shipping or freebies, customer loyalty is an excellent yardstick for observing customer behavior. • Customer loyalty metrics can help you track the buying habits of each shopper and understand the merchandise preferred by each demographic group.
Conclusion
The role and impact of e-commerce on customer behavior is driving the industry-wide adoption of customer behavior analysis for attracting more shoppers and improving their shopping experience.
With its extensive expertise in customizing cloud-based data analytics for eCommerce customers, Countants is the right solution provider for implementing projects in cloud analytics and cloud visualization.