Simple Tips For Utilizing Big Data Analytics For Your Business Growth
It is important to keep your customer happy and satisfied with your online store for grabbing maximum conversions among your competitors. Customer service can play a big role in accomplishing the above goal in a seamless manner. In this tough business scenario, you need to show your customers that they are valued by your business entity for improving the business fortunes. Analysis and monitoring have become an important part of every website for taking crucial decisions and can affect their long-term business plans. Big data can help in building a strong customer- company relationship in a coherent manner. Let us discuss the various areas where the use of big data can be of great help. Helps in repairing the broken website- If you want to offer a smooth user experience to site visitors, it is important to check if your website is properly maintained or not. E-Commerce site owners need to be extra vigilant by checking the validity of a promotional code, proper arrangement of product pages, quick processing of the customer payment, missing pages or broken links in a site for keeping customers engaged and loyal to your site. If your website is not properly accessible to your customers, it will degrade their confidence, trust, and loyalty towards your website that could affect your conversion and sales chances. You need to analyze the problem tickets, server log files and validation process on your site for maintaining your website in a proper manner. This complete analysis of the site will help in proper indexing of your site by search engine crawlers and will ensure you effective place in search engine result pages (SERPs). Apart from this, you need to
automate the various processes and mechanisms that are utilized for handling a broken website. Thus, timely analysis and site monitoring through web analytics tools can be a great help for your online business and can help in repairing the broken website in a smooth manner. By simplifying the product return requests- It is a common scenario in eCommerce stores where customers want to return a particular product due to reasons like wrong product delivery, a defect in product size, color and stitching, late product arrival, getting the same product at a cheaper price or any other factors. If you want to reduce the product return requests on your site, you need to analyze the product returning requests of your customers. Big data analysis can be a big advantage in this area for improving your customer service. You can analyze the product returning requests of your customers and vendors for finding out the defaulters who carry out the return requests without any reason. It is important to utilize the real-time analytics services for handling the product returning requests in the best possible manner without hurting your site conversions and sales. Further, analysis of customer product return requests will help you in the proper understanding of their grievances for facilitating speedy resolution of these issues. Minimizing the fraud instances on your site- Online businesses and transactions are always in the shadow of being attacked by hackers which increases their vulnerability to a great extent. There are increased chances of online transactions being intercepted and the required changes can be done in the payment amount. Further, hackers can collect the crucial payment details of the customers to initiate various fraudulent activities. Big data can be used here to analyze the online purchases of customers, system log files to find out the location, IP address, browser and operating system and real-time analysis of online transactions. You can also track the online transactions through real-time analytics tools for blacklisting unsecured network, servers, IP addresses, user email addresses and other such mechanisms for ensuring a fool-proof security in online payments. With the help of this crucial information, store owners can reduce the chances of fraudulent transactions for improving customer service and engagement on their eCommerce site. Ensuring the timely product delivery- There are several occasions where customers are unable to achieve their desired product as per the scheduled delivery time. The reasons could be anything from the unavailability of the desired shipping carrier, customer location is not covered by a particular shipping option, ordered products became out of stock or any other factor that affects the timely product delivery. You can take the help of big data to provide the tracking information of products ordered by customers for ensuring swift delivery. Besides, you need to analyze the possible reasons for the late product delivery one by one and should take the required actions accordingly for boosting conversion rate optimization and product sales. Adopting the analytics tools for handling the product delivery requests will help you garner trust and loyalty among customers that can take your online business to far off places.
Conclusion It is the right time to utilize the services of big data for the growth and expansion of your eCommerce store. By taking help of big data analytics in these crucial areas, you can improve the customer service on your site to a great extent. So, involve big data analysis for your eCommerce store and achieve rewarding business results.