November 23, 2022

Improving customer experience with Artificial Intelligence

Find out how AI can help your business

Every time we need to learn something new or ask a particular question about a product or service to a company, we expect to interact with another person. But nowadays, technology has come so far that sometimes those “humans” behind the screen are built with code and wires instead of blood and bones, and the craziest part is that sometimes we don’t even notice. In these cases, machines are capable of talking to customers just as humans do, and we get to experience the power of AI at its full display. But there are still a lot of other things that AI can do for your company. 

5 ways to integrate AI into your customer experience

AI is still a fairly new invention, and even though we are still discovering its potential day by day, believe us when we say that this technology is growing fast. Yes, the possibilities are endless, but for the sake of this article, let’s just focus on customer experience data and how well AI can analyze and manage it. 

Virtual assistants or chatbots

If you are a regular internet user, chances are that you ended up speaking with a chatbot. Maybe you didn’t even notice it, or you did and realized that the responses were even faster than with a real person. Does that mean we will not be necessary in the coming times? Absolutely not, but now AI is starting to take over some minor or tedious tasks so that we can focus on the most important ones. Think about it, with the help of artificial intelligence, we can speed up processes, offer faster answers, and even conversation tags, which is a huge deal nowadays.

Automation of marketing campaigns

A great way to save time in your marketing campaigns comes with the help of automation. This technological miracle can manage a whole customer flow experience while meeting our leads’ needs, making them feel heard and cared for. Thanks to automation, you can send messages in key moments, understand the customer experience, and design a message for every stage of the buying process. In other words, you only have to design the path and let AI do the rest. 

Sentiment detection

Want to learn about another great technological advance? If you didn’t know, AI can now detect sentiment and mood. Yes, we are not making this up. That empathic soft skill previously reserved for humans (and maybe some cats and dogs) is now also part of the many things that AI can do. How? by adjusting answers to adapt and create the best environment for every chat or modify the product proposal. So maybe machines are not so cold and insensitive after all. 

Ads Personalization

Did it ever happen to you that an ad about something you recently thought or talked about popped up on your phone? Well, even without meaning to, we are constantly sending information about our likes and preferences. Companies use that information to show us products or services that fit our interests, which is not bad. Think about it, you will probably get exposed to thousands of ads anyway, so it would be best if you are at least interested in them.

Demand Prediction

Last but not least, technology has connected offline with online situations in a way we have never seen before. Buying something and then discovering that there’s no stock left for that product is frustrating. Luckily, AI can now predict when your inventory will run out, so you can prevent it from happening. That’s a considerable improvement for companies with very active e-commerce that must keep track of the products they sell and deliver. This way, no one will buy something from you if you don’t have the necessary stock. 

AI and Lead Management

According to a Marketing Sherpa study, almost 80% of leads never end up for sale. That’s a lot, right? Well, thanks to lead management, you can decrease this number. Lead management can be defined as a set of tools that help companies guide their potential buyers through the sales funnel. In order to achieve this, it is essential to have marketing automation tools that can correctly handle your potential customer´s data.

With lead management techniques and the support of AI, you will be able to capture data and then classify and segment them into different groups. This can be very valuable for companies because, according to Marketing Sherpa, lead management automation tools are much more critical when a company reaches 50 leads to manage. So, as you can see, to handle more than 50 leads, it is necessary to have software that centralizes the information to facilitate the task of the marketing team while also optimizing their time and budget.

Lead to Revenue Management

More sales, less money: Perfect match, don’t you think? That’s what you get when using Lead to Revenue Management (L2RM) strategies. This strategy guides the buyer from the beginning of the need to the final step: conversion. 

Of course, the most important part of L2RM is to trust in AI. Why? Because it will identify potential customers and understand their tastes and preferences. With this method, your company will be known for its assisted sales process (for instance, a chatbot), making your leads feel listened to and cared for. 

Assisting your leads is so important that a SAS study revealed that almost 70% of customers are willing to pay a bit more in order to have a better experience. Let AI handle your leads’ needs while you look for new ones. Fair deal if you ask me.

Register now and get your free $100 credit to try everything