CX (Customer experience) has become a competitive focal point of the business ecosystem in this digital era. Many app development companies find themselves left behind if they do not adopt AI-enabled methods of engaging with their customers. You will agree that marketing has always been about making a personal and emotional connection with customers. Artificial Intelligence enables this in a way marketers of the past could only dream of by allowing modern marketing professionals to tailor their outreach to individuals truly. 

Now the question is, how can you provide people with a unique experience and make them feel special in a way that will make them a client for life? 

Mobile App Development Companies that once used conventional marketing strategies now find themselves unable to reach broader consumer bases or even maintain current customers. In addition, they often struggle with the lack of customer personalization, marketing automation, customer insights, and the building of brand loyalty,  all of which create barriers that challenge their formula for success.

Through the power of developing an AI (artificial intelligence) mobile app and ML (machine learning), we can overcome these barriers and understand what drives consumer behaviour, allowing app development companies to recognize what their consumers want and need. As AI shifts the marketing and customer retention paradigm, we recognize its tremendous potential to impact countless applications. Nowadays, many AI-powered customer retention strategies can positively impact how companies interact with their customer base.

Moreover, AI solutions free up employees to focus on tasks that need a human touch. From there, it’s a hop, skip, and jump to harnessing the awesome power of AI algorithms to work wonders for customers. Here, I’ve mentioned a few innovative ways to drive customer loyalty through AI.  

AI Marketing Strategies To Drive Customer Loyalty 

1. Personalization and Branding

Powerful data collection processes through implemented AI systems enable mobile app development companies to personalize marketing methods that use a customer’s data to customize their experience. It’s as simple as recognizing a customer’s name, offering suggested product options or presenting consumers with rewards and benefits based on consumption patterns. 

For example, Spotify is an international media services provider, and the company has tailored the CX (customer’s experience) based on consumer patterns and identification processes. Every time a customer selects a song or clicks into a playlist, Spotify will then use data collection to provide recommendations based on these preferences. 

Spotify has currently developed their streaming platform suggestions for upcoming artists that are similar to playlists which the user is already listening to, and soundtracks that are closely related to songs they rated highly in the past. This AI marketing strategy provides a personalised experience and boosts Spotify’s brand loyalty by providing a unique experience for consumers along the way. Also, it essentially replaces the need for mass marketing and conventional marketing tactics.

2. Marketing Automation

Subscription-based marketing campaigns introduced customers to a company’s product selection before AI became integral to personalization. However, while subscription-based marketing was able to recognize names and locations, it couldn’t pinpoint and address the particular requirements of an individual. As a result, this provided a slight probability of up-sell opportunities, and it didn’t provide customers with the tailored experience that they seek today in product navigation.

Marketing automation matches well into Artificial Intelligence implementation strategies for developing a personalized CX (consumer experience). Indeed, marketing automation segments a consumer base, and it also recognizes purchase patterns, specific product inquiries, and general interest in company services. Moreover, automation enables companies to manage marketing campaigns across several channels, while segmenting customers to recognize which individuals are more likely to purchase particular products. 

For example, in marketing automation, Delta Airlines has been an AI industry leader. In Delta, when you are purchasing a flight, it requires you to sign up for a free account. This ensures that Delta can collect your data and store it for future reference. Then, Delta pays close attention to your purchase history and flight searches and any points that you accrue throughout doing business with them. Their marketing automation can then segment you based on these separate criteria and provide cross-sell or up-sell opportunities to you. 

3. Emphasize The Rewards

What Consumers Think About AI survey reveals that nearly 72% of respondents are afraid of AI somehow and around 68% of people want more AI if it makes their lives easier. This is why companies must educate consumers on how AI benefits the CX (customer experience). Examples include getting faster customer service, better product offers, more relevant messaging from favourite brands, and many more.

4. AI-Enabled Analytics for Customer Insights

As many companies started addressing the need for new and advanced technologies to help their marketing strategies, Artificial Intelligence app development has provided a way to consume massive amounts of data and provide insights to assist in customer retention. AI-powered analytics provides marketing teams with the appropriate computing power and statistical evidence of trends to understand what is seen across their consumer base and make it easily consumable. 

By understanding these trends, companies can manage large amounts of customer data and leverage many more business opportunities that would normally be buried in the underlying data.

5. Competing On Price

Price is the decisive factor in any sale – and also any repeat sale. Fortunately, with the introduction of AI, pricing managers can now amalgamate the information contained in price fluctuations to better handle customer supply and demand. Machine learning, Deep-learning algorithms and artificial intelligence software solutions can perform huge calculations that take into account a dizzying array of variables, including contextual factors, competitor prices, past sales, and many more. 

Conclusion

So, yes, after reading this article, you will agree that the potential AI holds is infinite, and the need for it is not going away. AI drives customer loyalty by adding value and making them happy, from a seamless customer experience to increased customization. Also, Machine learning and big data minimise company costs and improve the user experience beyond recognition. So, if you want to increase customer loyalty and retention through AI in your business, hiring an expert artificial intelligence app development company is the best option.