A company has many functions, such as production, research, and development. Marketing is another function of a company. Nowadays, technology is changing at a much faster rate. And, artificial intelligence (AI) is the new face of modern technology. Most companies are using AI in their business. Marketing is one of the leading sectors that have gained a lot of benefits from AI.
It helps the management to understand the needs of customers. It also helps them to align their production and persuade people to buy their products. AI has the capacity to enhance its capabilities dramatically. So, companies are accepting the usage of AI in their marketing strategies. Most essay writing services firms also use AI in their to improve efficiency and better user experience.
This article aims to discuss the top three ways how the company can use AI in its marketing strategy. It also aims to discuss these ways with examples. Let’s discuss in detail:
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Customer Experience with Chatbots and Virtual Help:
One of the prime focuses of any company is to provide a better customer service experience. Chatbots are another amazing aspect of Artificial Intelligence. These are becoming so popular around the world. Business companies and their managements are accepting the usage of chatbots. Chatbots usually work with the help of the Natural Language Process. According to a 2019 survey, 62% of Americans used the chatbots feature.
They used it to get in touch with different businesses. There are some of the leading companies that are using this technology. Companies like Starbucks and eBay started using this technology in recent times. International airlines like Qatar Airways are also using chatbot technology.
Example:
The Johnson and Johnson family of companies has a website. The name of this website is BabyCenter UK. It is one of the trusted pregnancy and childcare websites in the whole UK. It helps the moms to calculate their due dates and provide pregnancy-related articles. This company is using different bots to get in touch with its customers. It has Facebook Messenger Bot that asks questions about the child. Once you get in touch with this bot, it will ask you the age of the child. Apart from this, it may ask any question that you are facing as a parent. After knowing the answers, it will advise you.
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Prediction of the personality:
It is another effort of Artificial Intelligence to predict the actions of a user. In this regard, it will use the previous conversation and chatting behaviour. It is also helping the company to improve the customer service experience. It is not only helping the company but also helping the customers too. When they get in touch, they will see the improvement. They will also feel that this particular experience is just designed for them.
It is important to note that this usage of technology is used for online shopping customers. In this regard, the bot will analyze the customer behaviour with the help of data collection. It may also include the amount of time a customer is spending on the website.
Example:
Apart from online shopping, entertainment websites are also using this Artificial Intelligence feature. One of the prime examples in this regard is Netflix. You can notice this thing while you are making an account. There is always a recommendation section. This section always includes popular TV shows and movies. The reason is AI does not have enough information about your personality. Once you start using your account, it will collect all information. It will collect information about your favourite movie genre and shows. Every time you will log in to your account, it will recommend movies and shows.
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AI-Enable Analytics for Crucial Customer Insights:
Most of the time, companies face issues with Customer Relationship Management (CRM). In this regard, Artificial Intelligence again provides valuable insights. It will help the company to feed intelligence into its CRM. It will also provide insights into marketing automation and other operational tools. Once the company incorporates these things into its system, it improves customer engagement. In this regard, the company can use different tools too. Tools like facial recognition and text analytics can help the company. This way it will meet the requirements of the customers.
Example:
In this regard, we can present the example of Facebook. In recent times, Facebook deployed AI and machine learning across its platform. It will help the company to interact with its customers in a better way. The company is all set to test recommended responses in Messenger Application. It will offer a logical response to those who get in touch with the company. It will help the company to analyze the customer response to make its CRM better.
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Visual, Voice and Text Engagements with the Customers:
Nowadays, companies are all set to get in touch with the customer through visual options. AI is again providing a helping hand to the companies. It will help the companies to deal with the customer in a better way. It will also help the company to improve its marketing strategies. Artificial Intelligence will analyze facial expressions in face-to-face and video chat conversations. Companies will use AI algorithms for better communication and customer satisfaction.
Example:
One of the best examples in this regard is the video conferencing service Zoom. It uses AI visuals and voice technology. It will also help you to track the emotions of conference attendees. It will help you know when they are losing interest, and it looks like they are confusing. AI technology will help the company to improve customer satisfaction with visual technology.
Conclusion:
Nowadays, the business world is adopting new technologies. These new technologies are helping employers to improve their marketing strategies. Marketing is the core element of any business. In this regard, they are seeking help from Artificial Intelligence. It is helping them to enhance their CRM after engaging them in different ways. Chatbots are one of the leading examples. Apart from this, AI technology will keep a record of previous conversations. It will help the company to predict customer behaviour and improve the experience.
