AI To Use Emotion To Learn Customer Exp. (Here’s How?)

Artificial Intelligence (AI) To “Using Emotion” To Improve The Customer Experience & Increase Sales

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by Alan Jackson — 1 year ago in Artificial Intelligence 4 min. read
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Customers are hysterical species and mostly make decisions on emotions (positive or negative) towards any subject.

There is no doubt in saying that we as human beings rely on machine intelligence to get our chores done.

As scientists discover more valuable and comprehensive innovation, solutions, and discipline using Artificial Intelligence each day, the demand and needs of ‘robots intelligence’ has increased greatly.

AI-based innovation has catered to many significant industries to revolutionize their strategies, management, and methodologies to achieve objectives in an undisputed manner.

In the concept of business-term, where the end objective is to sustain a better relationship with the customers and stakeholders.

Artificial Intelligence is promisingly performing graciously optimizing the relation between brand, customers, and company’s stakeholders.

If we look closely, AI can be seen as a bridge between your brand and customers.

Understand in this way…

Customers are hysterical species and mostly make decisions on emotions (positive or negative) towards any subject.

Interpreting customer’s emotions using Artificial Intelligence can give you better understanding than the human brain.

It is because AI uses Machine Learning technology and keeps learning every second and enhances itself to deliver better results by interpreting millions of sentiments and data(s) – and marketers love data as its best weapon.

So, let’s get into it and talk about how AI-based facts and methodologies can help marketers and sales teams in shortening sales cycles.

But first, let’s understand a bit about the Sales Cycle.

What Is the Sales Cycle & Why It Is Important?

Sales cycle process

A sales cycle is a circular-chain of tactical processes that a sales reps follow to turn a lead into a prospect. This means that salespeople follow a set of principles and tactics to convert a lead into business revenue.

This drive is critical because the channel helps salespeople to engage with the lead frequently, help them better understand customer’s requirements, and thereby converting potential one for business.

How AI Helps Increase Sales?

There are a number of software and tools made available for effective sales development or increase sales through AI.

And mostly all of them are AI-accredited which means less human inputs and high-yield results from AI-driven methods.

Sometimes, sales can be complicated to achieve, even developing effective strategies and tactics.

This is because of lack of information or hindrance due to complications.

An artificial intelligence-driven methodology seamlessly provides an effective way to a sales team to nurture the process without any snag.

Here’s how AI can be a game changer for businesses:

1) Helps in collecting the right information at the right time

Data is very important for the sales team, and if they fail to organize in the right time, decreasing sales revenue is no big observance to give attention to.

Therefore, many sales professionals rely on AI-based softwares that helps them to get qualified data about the customers. Additionally, AI interprets data based on customers sentiments, emotions, and behavior as they interpret with ads, or others.

By getting these data on time, sales reps can examine their target audience very well. Even they can even design failproof plans to strengthen further sales cycle processes.

In conclusion, this allows sales representatives to form meaningful alliances with beliefs.

2) Leverage predictive analytics to improve lead quality

Predictive analytics is a must for sales professionals.

Using artificial intelligence’s advanced analytics, the sales team can analyze the shape of the curve that tends to be in the future according to planned strategy combined with historical data.

The aim to leverage this tactic is just to understand the pattern of the collected data. In simple terms, the data with manipulated ideas gives how effective and beneficial for business in long terms.

3) AI driven tactic avoid missing out any opportunity

AI is still improving itself to prove its worth… but as much of now it proved is adequate to say that AI works better than humans.

It can read faster, anticipate faster, understand better than human minds, etc.

In the context of customer experience, it learns their sentiments seamlessly. Also, help sales reps to counter every possible task in a meaningful manner such as predicting what prospects are more likely to buy, how much they can spend, what type they are, and much more.

In this manner, AI gauge salespeople with 360 degree luminous intelligence.

What else can AI do in terms of “Using Emotion” to Improve The Customer Experience & Increase Sales?

Selling is often connected with a customer’s emotion and decision making.

There are a lot of connections with various intentions hovering in the mind of the customer before making a purchase. And that’s tempted to figure out exactly.

In this scenario, AI uses algorithms to know how to reach consumers emotionally; artificial intelligence has become a great neighborhood.

  • AI determines the right product based on the customer’s past purchases and cart value regression.
  • AI combined with machine learning assists store owners determine what to cross-sell and whom to cross-sell.
  • The intelligent tools also provide insightful data about shopper’s behavior.

In Conclusion

Salespeople can’t avoid the use of AI to refine their sales channels.

Since AI being exponentially helpful driving valuable insights and results, it is likely to be used by more and more industries in coming years.

To use AI in a sales campaign, it is necessary to first learn about AI workability and methodology.

It is also advised to derive a well sales cycle plan before using AI data to see impact. Although, read this guide whenever you are hindered with confusion.

Thanks for reading my blog 🙂

Alan Jackson

Alan is content editor manager of The Next Tech. He loves to share his technology knowledge with write blog and article. Besides this, He is fond of reading books, writing short stories, EDM music and football lover.

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