Benefits of Embracing the Big Data for Ecommerce Sales

Any internal or external data that is generated while a customer interacts with a company (at any point, in any way), is there to assist with decision-making. But is data alone enough for strategy and goal setting?

What benefits are there incorrectly utilizing this Big, Bold, and Beneficial Data? And what does it augur for firms based largely on online interactions and technology such as e-commerce companies? Don’t stay behind the pack and learn how to gain an edge over the plethora of ecommerce companies and increase your ecommerce sales by correctly harnessing Big Data.

The Big Data is, of course, enormous and has layers and layers of information stored, which is a very strong determinant of your future ecommerce success. Some companies are flabbergasted just by its sheer volume. And till the time data only rests in folders, it is of no value. Only when the companies start sorting through and analyzing this data, for better customer interactions and branding strategies, does it become invaluable.

Connecting data to human experience is crucial for greater ecommerce sales.

Big Data has the ability to make experiences personal and helpful. To realize the true value of data, it is important to find insights to connect back to the customers from where the data is derived. It can help to understand the customer journey and buying patterns to make important decisions for every contact route and touch points. Several metrics can be used to analyze the data and formulate highly digitized, customized, and targeted campaigns for customer acquisition and retention, internal management, and cost controls.

As an ecommerce company, you have a very large volume of data in your databases, including everything from customers’ browsing history to their wishlists, purchasing history, pages they browsed for longer, abandoned shopping carts, etc. Correctly sifting through this data and formulating actionable insights can skyrocket your ecommerce sales with minimal additional investment.

UNDERSTANDING CUSTOMER PERSONAS AND PATTERNS

Businesses need to harness the sea of data at their disposal for their profitability and sustainability. An enhanced bottom line is not enough if your business cannot create and retain a loyal customer base. A very basic form of information that can be derived through simple analytics is customer demographics and customer personas.

A successful real estate firm Movoto not only uses the demographic data for itself but also allows its customers to search the demographic information of the neighborhood they are interested in, through a search tool to help them make a better and more informed decision. This example shows how data can be used for building reliability and success through relevance. It aids in target market segmentation and informed decision making.

Categorizing data according to demography, analysts can give it a human face to comprehend and bring it as close to understanding customers’ behaviors as possible. Building customer personas from data can give marketers several sets of the target audience with specific characteristics.

Your ecommerce firm does not physically interact with customers, so the only way you can create correct customer profiles and then strategize on creating the highest value for these customers is by analyzing Big Data. The key to sustained growth in ecommerce sales is utilizing this data correctly and in a timely fashion.

UNDERSTANDING PURCHASE JOURNEY AND CUSTOMER EXPECTATIONS

Ecommerce sales have created a very complex customer journey. It is not linear and certainly not simple. The Big Data arms the decision makers to make strategies to reduce customer churn and make improvements at every customer contact point.
A customer goes through various stages of purchase and use of a product or service. To make sure that your product will become a permanent part of a consumer’s choice set, it is crucial to prioritize understanding the customer’s preferences and tastes.

Purchasing is only one phase of the customer journey. It starts with comparisons, and research and attitudes, which are followed by need recognition, and finally purchase. After this starts the post-purchase phase. And this is when the customers are hardest to handle. Here the relationship furthers into a new phase of the customer-brand relationship and where customer service center support comes in.

As the customer experiences your product or service, they develop an opinion and when they need to contact your company, they need the customer service to be as fast, professional, and personalized as possible. This cultivates brand loyalty and customer service becomes the major reason for customer retention. This is most crucial for online companies; where responsive communication is one of the most important causes of increased ecommerce sales.

Most companies in the US that use data efficiently report the highest customer satisfaction scores. Integrating in-house and external data can help identify unique customer traits and behaviors. A careful mix and match of data can give better resolutions. This can then help understand how to deal with such customers successfully. This information can be used in real time support and creating an understanding during and for troubleshooting processes. Customer service analytics make it possible to anticipate the expectations of your customers and deal with them proactively and greatly influence support effectiveness.

Customer predictive analysis can also help in cutting down the overwhelming amount of processing required in customer service. Data mining can help create an experience that customers have come to expect and in this digital age, it gives them a lot of freedom in terms of their time and costs preferences.

TARGETED ADVERTISEMENTS AND MARKETING

A targeted and personalized campaign means better efficiency and money savings. The key is to target high-potential clients with the right products at the right time of their purchase cycle.
Think about Netflix here. How many times do you get a recommendation list that resonates with your preferences? Almost always, right? 80% of Netflix streaming is influenced by its recommendation algorithms. After carefully analyzing your search and watch history, Netflix sends you personalized suggestions to attract you and detain you for a longer period.
A well-researched, timed, and targeted marketing not only gains customers but also avoids the financial losses of inefficient marketing campaigns.

Validated with purchasing behavior and traits, campaigns can target clients for appropriate and effective reach, avoiding huge losses.

RISK MANAGEMENT

Increasing ecommerce sales through better marketing and customer service center is not enough if your company is not using the same data to anticipate trouble and mitigate risks.
The persisting volatility of the business environment makes risk management necessary. Big Data helps your company identify risky areas. Smart integration of data leads to timely identification of problems and potential risks. It helps in the quantification of everyday risks and developing risk management models to base strategic decisions on.

It is most convenient to work with partners who can work in the Big Data space, especially to augment your ecommerce sales. Work with experts who can gather and augment data for your firm, formulating timely reports with actionable insights. Not only will this create a better understanding of the entire customer journey but will also lead to informed decision making.