Are you able to understand your customers well and provide what they are looking for? Selling a product should solely be based on a customer’s needs and demands. For instance, if a customer is looking for a keyboard and you are recommending your top-selling product, an AI television set. Does it make sense?
Although your AI TV is making considerable noise in the market, you should only sell it to someone who is interested in buying a television.
It is essential to understand your audiences in a better way and make them seen, heard, and recognized to boost customer satisfaction for a long period of time.
So, what is the best possible way to provide a tailor-made experience to your customers?
Bringing a hyper-personalization strategy to business. It is the only way to retain valuable customers by providing them with customized products and services.
Read our other CRM trending blogs:
What is hyper-personalization
Hyper-personalization is the use of real-time data and AI to understand customer buying preferences and curate products and services based on that information.
When you hyper-personalize your products, you can understand unique tastes and preferences at an individual level. This can help you create exceptional customer experiences and guide them through their product discovery journey.
The more data you have, the better you will be able to serve your customers. Let’s suppose you want to provide a hyper-personalized experience to your customer who wants a keyboard. You should understand your customer by gathering information like:
- If he has purchased a keyboard from your business before.
- Is it for official purposes or personal use.
- Does he want a branded or a normal keyboard?
- Track the location and learn which types of keyboards are most popular among users in his area. Is it wireless keyboards, bluetooth keyboards, or something else?
Such details can be acquired using artificial intelligence, and machine learning algorithms from different sources and used to make better decisions. This information will be helpful in understanding customer sentiment, predicting consumer behavior, and more.
Learn more about the impact of AI in the business domain from our AI blog series.
Check out:
- AI for customer experience
- AI for customer support
- AI for sales forecast accuracy
- AI for content generation
- AI to build dashboards
- Lead management with AI
- AI in CRM
Personalization vs. hyper-personalization
In personalization, you can only trigger general recommendations based on basic information, whereas hyper-personalization allows you to create user personas seamlessly.
With personas, you will be able to understand customer pain points at a granular level and provide optimum solutions. You can create personas from the existing data by mentioning their behavior, goals, attributes, attitude, background, etc., this can help you realize that different people have different needs. This strategy can guide you toward building a customer-centric business model.
Since AI is expanding to all possible domains rapidly, its recommended to avail AI in CRM to boost personalized customer experiences.
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