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By leveraging technology, customer loyalty programs can help your business provide detailed customer data, without having to pay market-research firms thousands of dollars. Know how technology can help build and nurture customer relationships.
Customer loyalty is, in essence, something that all companies should work towards. After all, starting a for-profit company is to attract and retain customers who buy your products to drive revenue.
Attracting and maintaining loyal customers is becoming increasingly difficult as more and more businesses join the market looking for a piece of the customer loyalty pie. Not only is it important to maintain a degree of customer loyalty to stay competitive, but it helps with costs too.
It costs five times more to acquire new customers than to retain existing ones. It’s also far easier to sell to existing loyal customers since 50% are more likely to try a new product of yours and spend more than 31% more than new customers.
Traditionally, businesses would largely have to rely on word-of-mouth marketing to attract new customers. In the past, a new competitor entering the market would cause panic, and a business would have to compete by cutting prices. So, what has changed? How can businesses build and maintain customer loyalty? And in what ways has technology supercharged their ability to build and nurture customer relationships for the long haul?
Technology advancements have changed how customers buy from and interact with businesses and brands. From online shopping to virtual personal shoppers and the new ability for businesses to deliver exquisite customer care on a large scale, customers are more loyal than ever, and here’s how.
Artificial intelligence has helped retailers increase customer engagement, boost contemporary consumer demand, and individually deliver personalized, targeted messaging. Most companies have already jumped on the AI bandwagon. According to a Teradata report, 80% of enterprises say their organization already has some form of AI in production. The same report showed that one of the top planned uses for AI was customer experience.
Predictive analysis is a branch of advanced analytics that uses big data to effectively predict future events. By integrating data mining, statistics, machine learning, AI, and modeling, data can be analyzed to predict future trends.
At the heart of every successful marketing strategy is a company’s ability to understand the needs of its customers. With the help of artificial intelligence, companies can now get deeper insights into their customer’s behavior and predict what they will likely be looking for.
Through machine learning, algorithms explore customers’ previous buying habits to predict their future preferences. Using this technology, companies can identify potential threats that may affect their buyers’ journeys and plan for their next purchase.
Like many companies, Sephora uses predictive analysis for their email marketing campaigns. However, they have taken personalization a step further by keeping track of individual customers’ purchasing histories and then calculating how long it will take for the product to run out - they then swoop in with an email reminder on what products a customer should try next.
They’re not alone. Many big brands use this AI strategy to enhance the buying experience and keep customers on their side. You may have noticed that Spotify has recently implemented AI to provide personalized playlists based on listeners' liking.
One of the main factors that make customers loyal to a brand is a superior customer experience. Traditionally, a business would only be able to care for a customer’s queries, questions, problems, complaints, or compliments on a one-to-one basis. It wasn’t feasible to provide excellent care to every customer.
Chatbots are able to handle multiple customer queries and resolve them instantly on a 24/7 basis. Recently, such technology has become more advanced in its ability to answer simple questions.
Today, chatbots can inform customers about new products, events, discounts, and more. They’ll even notify customers about the status of their order. These virtual spheres of information to which customers can turn create a sense of security and commitment. Customers want to be cared for and are likelier to remain loyal to the brands they know they can turn to.
The amount of information and data available today shouldn't go to waste. Deep learning algorithms can record it whenever a customer takes action, be it buying, viewing, or reviewing. This information can be analyzed to create specific customer personas segmented by age, interests, location, and more.
With this information in-store, companies can generate better personalized customer incentives that are far more effective. Rather than offering a one-size-fits-all program, AI lets companies tailor precisely what they offer customers in a meaningful way. A company with five different customer personas can create five different loyalty programs.
Furthermore, AI transforms customer loyalty programs by digitizing them. Move loyalty programs online with chatbots- as done successfully by Marriott International. They linked their loyalty program to their chatbot, which is available on Facebook Messenger and Slack. Customers can ask about room availability; even if they don’t book a room, the chatbot can send them links to content they may be interested in.
Customer loyalty depends on customer engagement with your products or services. The idea is that when a customer engages with your product, you elicit an emotional response. When this happens, a sale becomes far more likely. After the sale, and depending on the strength of the emotion, you’re likely to have gained that elusive customer loyalty.
When rich media like audio and video first hit the internet, several studies reported that moving images were the most effective way of grabbing and keeping a viewer’s attention. Today, Virtual Reality takes this a step further.
The most powerful customer engagement tool is no longer within the internet. Of all the intuitive content, cookies, and questionnaires imaginable - it’s all 2D. The immersive capabilities of VR have become the most exciting marketing innovation in over a decade.
A study by Nielsen found that consumers demonstrated a deeper emotional connection with VR content than with traditional 2D media. For many, it was the new and exciting prospect of being immersed in a new virtual environment. VR marketing allows companies to control what the customer sees and feels. They literally enhance the experience by creating an entirely new and immersive one.
Many companies are already working with technology developers to implement VR and AI in their marketing campaigns. Don’t let your customer loyalty dwindle while they supercharge theirs.
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This post was submitted by a TNS experts. Check out our Contributor page for details about how you can share your ideas on digital marketing, SEO, social media, growth hacking and content marketing with our audience.
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