Often times, one of the primary reasons why someone starts an online business is because of the freedom and flexibility it seems to offer. But sadly, many online entrepreneurs fall prey to illusions of grandeur when they imagine how their lives will be once their e-commerce store takes off.
The reality is that running a successful online business takes a whole lot more than what meets the eye. You cannot simply create a website, offer some products, then sit back and watch sales flood in. An online store is operating 24 hours a day, seven days a week. Therefore, someone needs to be monitoring and taking care of things at all times. Whether it be answering inquiries and emails, fixing issues with the website, ensuring that orders are fulfilled, or managing marketing campaigns, there are plenty of tasks to be done that can take up much more time than a typical 40-hour work week allows.
This is why the rise of automation is so influential and important to take notice of. In fact, over half of all businesses today are using automation in some capacity, and nearly all of these companies have reported incredible benefits.
However, the only way to truly integrate automation into an online business successfully is through careful and strategic data application. Automated systems rely on relevant datasets to ensure things are done correctly.
So how can online companies implement automation with a data-first approach?
Sell Digital Products that are Optimized for Specific Segments
Again, one of the greatest benefits of running an online business is the fact that no physical storefront is needed. While this eliminates overhead costs like rent and utilities, it does not mean that an e-commerce store is entirely virtual. If you are selling physical products, you will need an inventory storage space along with equipment and supplies for shipping orders out to customers.
One of the most straight-forward ways to automate this process all-together is by eliminating the tasks of restocking, ordering, processing, and shipping by opting for no inventory required’ business ideas. For instance, selling digital goods like e-books, downloads, or online video courses will require no re-stocking or shipping, as orders are fulfilled the moment that a customer clicks the buy button.
Say that you want to start an online business selling fitness programs. Through customer behavioral analysis, fitness brands are able to take a look at specific data sets that can determine how to better target niche segments. For example, let’s say you notice a sizable segment of 30 to 40-year-old women that only visit the gym twice a week and are highly motivated by group discounts. An online at-home fitness program targeted for their age groups that offer bundle discounts would be an excellent niche product to meet this group’s needs. By using data analytics to identify this niche, this product can then be marketed and sold to this group through automated practices.
Utilize Supportive AI Chat Solutions
Chatbots are a hugely popular choice in terms of automated tools because they can easily save customer service teams tons of time. If programmed properly, AI-enabled chatbots can take over the majority of the tasks that are typically left to support teams. This includes answering common customer inquiries, offering product advice or suggestions, or resolving certain issues with orders and payments.
Once again, key data points need to be applied correctly in order to make a chatbot a valuable addition to your automated toolset. Although consumers are becoming more accustomed to using chatbot services, the majority still would prefer human (or human-like) interaction. This is why it is important to create a truly conversational chatbot that relies on data for NLP (natural language processing). This is best done by first analyzing past customer interactions to determine the most common questions and resolutions for a smoother conversational flow that offers customers the answers they are looking for.
Use Data for an Accurate Customer Journey-Based Marketing Plan
Many understand that automation can be extremely useful for marketing purposes. The key here to ensure that your automated marketing strategies are actually effective is, once again, using data correctly. Trigger-based marketing content is the perfect example of a strategy where automation and data must work together. You cannot simply create a trigger-based marketing strategy by guessing when, where, and how to contact your customers. Every message and behavioral trigger should be based on consumer data and journey mapping.
In order to create an optimized communication system, you will need to know the paths that customers typically follow that determine a conversion or a lost sale.
For instance, say that your customer arrives at your website through a search for a specific product. Once they browse your product page, they are left with several options: add the item to the cart, look for other products, or exit the website. After each of these steps, a well-planned and strategic marketing message may be just what is needed to re-engage the customer. Say that a customer arrives on your product page but their mouse starts to head towards the exit button. An immediate pop-up message reminding them of a sale or urging them to check out a recommended product may keep them on your site for longer.
This strategy can be implemented with thorough datasets that have been analyzed to see where the falling off points exist. With this insight, you can pinpoint the ideal ways to reach that customer through automatically triggered marketing.
Invest in Predictive Tech for Automated Decision Making
AI tools can be used to predict trends and changes in demand so you are always prepared. In the online marketplace, prices fluctuate on a much more frequent basis, and if your product is a mere few cents higher or lower than a competitor, it could make all the difference in your conversion rates.
AI technology is extremely useful for making number-driven decisions on pricing and inventory management. Rather than simply guessing on how much product to order to keep up with demand, online businesses can use AI programs to analyze current and past consumer behavior for a more streamlined approach. These tools can also measure fluctuations in demand and market pricing to adjust costs automatically. This will do wonders to keep your e-commerce products competitive and help maximize profitability.
Conclusion
Becoming an automated data-driven business is critical to success in the e-commerce market. Automation and data need to go hand-in-hand to make sure that every process is optimized and creating measurable changes. As an online business owner, it is important to understand how to tie in data to your automated practices for a more strategic approach to time-saving systems.
