Why Consumer Behaviour Analysis Is Essesntial For eCommerce business?

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.