YoroNet

Introduction

eCommerce involves the use of the internet by businesses or consumers to decide supplies, choose products and services, complete financial transactions, or obtain services. The rapid growth of eCommerce is being driven by technological advancements, convenience for consumers , and the global reach it offers organizations. Again, eCommerce has transformed the retail environment, prompting enterprises, especially traditional brick-and-mortar retailers to adapt, and set up a dedicated virtual presence in the form of an eCommerce business.

Having an online platform provide Internet businesses with the opportunity to gather valuable customer details. Consumer data is the information, often created through the activities of shoppers on the eCommerce company website or social media pages. And end-user particulars include name, DOB, IP address, email address, income, location, gender, education, product preferences, purchase history, newsletter clicks.

The analysis of these facts enable online store owners to gain insights into their clients. However, looking for that understanding requires the right tools because humans are incompetent at detecting patterns, and only Analytical tools can identify trends. By harnessing the capabilities of website Analytics such as Google Analytics in tandem with dedicated Social media Analytics tools like Hootsuite, eCommerce brands can experiment and introduce new ideas; make email marketing more effective; and enhance business processes, facilitating the launch of new products or services, among other benefits.

A/B Testing

By taking advantage of patron records, E-businesses, instead of dreaming up marketing ideas and probing them to in-market audiences, they can assess them in a virtual marketplace built by real-life, live data. And if it fails, they do not lose much since the cost of failure is negligible compared to the benefits of achievement.

That is, the availability of buyers’ data makes it easy for online retailers to test and create. For instance, rather than forming marketing decisions on one’s intuitions, an online marketplace can run an A/B testing to see what the data says. The A/B test will help isolate failed perspectives before money is spent on them. The A/B test works by showing two sets of users (assigned at random when they visit the digital storefront) two versions of a piece of content. While tracking and collecting facts on user behavior, conversions, and other core benchmarks. Then the test analyst, ideally with a statistical background interprets the data returned from the A/B testing marketing software to decide whether it makes sense to act on it. And if senior management opts to apply those results, it can take less than half an hour for a web designer to implement them. Most of all, if real-life figures do not match the test results, it is always possible to revert to a previous version of the element being tested.

A/B testing can be conducted on pieces of marketing content such as product images, email subject lines, CTA buttons, and so forth. For example, if we wanted to find out if changing the color of a CTA button increases its click-through rate. We’d create an alternative CTA button with a different color. Then we will show these two CTA versions to similar size audiences over a specific time period and see which button color caused more visitors to click.

Although, A/B tests are basic and clear-cut, care should be taken to avoid mistakes such as responding to early statistics without letting the test run its complete course; looking at too many metrics instead of focusing on the ones that matter the most; and not doing enough retesting to be certain to avoid false detections.

Moreover, in order for the A/B test to be constructive, we must have a clear goal. For example, lower cart abandonment rates. A complicated checkout process is often one of the reasons for cart abandonment. Thus, by A/B testing different product photos, checkout page designs, or where shipping costs are displayed; an eCommerce brand can discover hurdles or issues that prevent customers from completing their transactions and use this knowledge to amend the checkout process.

Email Marketing

A successful email marketing involves the use of A/B testing to find the most convincing email copy. And to effectively utilize email marketing, it is essential that digital stores encourage shoppers to create user accounts on their digital platform. This will enable them to collect useful information such as names, email addresses, and demographic details. The data gathering can be further enhanced through subscription forms by sending emails offering incentives and asking consumers about their particular liking or interests. Provided with this evidence, web shops can then execute targeted marketing campaigns and deliver personalized experiences.

For instance, based on their specific enjoyments and penchant, shoppers can be segmented. This segmentation allows eCommerce companies to customize email subject lines, graphics, and suggest products to be consistent with their individual interests. It is important to note that the more information the email contains, the more likely it is to be opened, read, and  potentially acted upon. Hence, incorporating information about shopper’s birthday, and  membership anniversary in emails can considerably lift the open rates. Moreover, we can increase engagement if the email contains the recipient’s first name. Likewise, including complex facts like site browsing history can allow virtual stores to drive conversions by sending follow-up emails reminding end-users of products they have browsed; or offering similar products or relevant bargains.

An example of an online marketplace that has successfully leveraged email marketing is the eCommerce’s giant Amazon. Amazon takes advantage of customers’ data by sending marketing emails with, among other devices, personalized subject lines, and customized content with the aim to foster a relationship and possibly persuade them to purchase.

Uncover Development Opportunities

While collecting customer data from a variety of sources is necessary for a functional email marketing campaign. Rather, when it comes to achieving specific business goals, eCommerce organizations should concentrate on the data that will help them succeed. For example, focusing on gathering data from customer service logs, browsing, and transactions can aid internet businesses discover pockets of growth. To put it differently, online retailers can exploit their customer data insights to identify lapses in operations, improve customer service, and develop new products or services, to mention a few.

One of the most basic uses of consumer data is to help out eCommerce businesses discover and resolve issues that otherwise may be intricate to uncover. For instance, by spotting patterns in when customers express dissatisfaction and what they complain about, E-businesses can discover opportunities to enhance processes, or provide additional training to  underperforming  staff members. However, for eCommerce brands to successfully bring to light what they are doing wrong; they ought to ensure that customer data is adequately merged to identify genuine patterns rather than anomalies. In fact, storing or organizing customer data in a way that is easy to access makes it uncomplicated to surface actionable insights. Which can then be used by eCommerce executives to improve core operations.

In addition to the customer data use case outlined above, digital commerce companies can utilize support data combined with data from transactions to enhance their customer service. But, in order for online sellers to efficiently resolve customer issues, it is important they take into consideration something customers have already told them. And the only way to uncover that information is by delving into customer service records to see how customers have interacted with the support team in the past. Equipped with this data, a support agent can understand the whole relationship with them and see at a glance what products they have, what current obstacles they have encountered and annotations or commentaries from the sales, or support team with respect to the account. Hence, a care agent’s response to a customer who is contacting the company to raise a concern will be better since she has facts about the client. This is why it’s so necessary for eCommerce brands to be able to consolidate customer insights in real time.

And finally, Mining data from customer care interactions can also be a goldmine for facilitating the launch of new products or services. Moreover, the interactions that support persons have on a daily basis with end-users are invaluable for understanding how a product is used and what features may be missing. For instance, complaints, queries, feedback, and even praises produce insights that can be used as a key input to create a well-designed product, or attribute that truly resonates with consumers. Because these facts reveal pain points, unmet needs, product issues and areas of satisfaction or discontent.

Conclusion

All in all, as an eCommerce business, it is difficult to compete without a data effort. Data should be a continuous source of inspiration and a decision-making tool in the rapidly evolving world of eCommerce. Moreover, Information about the habits, preferences and attitude of the potential buyers is a treasure trove that online retailers need to be able to leverage for the entire business. Indeed, E-businesses are continually seeking innovative ways to make use of customer data to build better customer relationships and increase sales.

For instance, American retailer, Patagonia uses customer details to help them make the right choice. Patagonia’s “Fit Finder” feature requests inputs on height, weight, build, age, and desired fit. It then use those inputs, coupled with purchase, and returns data to advise on what size to buy.

Similarly, Netflix has adopted an innovative approach to embedding customers’ insights into its business. Netflix relies on customer data to hone its art of personalization, suggesting television programs that fit its users’ distinct taste.

However, capitalizing on customer data involves obstacles. The first challenge is that often, online sellers do not know how to match the data with the customer despite their ability to track all the interactions that the consumer has with them across several touchpoints. Because each point of contact produces a distinct piece of data. And this means that they are unable to make more personalized offers. Another common challenge, among others, is the growth of privacy regulations and the building of Google new internet privacy standards in preference to phasing out third party cookies. While these developments are welcome to many consumers, they will have a harmful effect on advertising ROI for online businesses.

As Google continues to further develop its privacy sandbox, competition for customer attention is intensifying and the pressure is rising on eCommerce brands to craft winning strategies using data from the shopper points of contact they administer, such as their own websites and apps. To be sure, the specific path to success will be different for each online retailer but the deciding concept should be to increase transparency, provide value in exchange for consumer data, and put in place IT systems that automatically update a customer’s profile each time she interacts with them at a given point of contact.