Humanity flies to Mars, creates the first artificial heart, and the Leadfeeder team is eternally lost in their quest to create the world's first automated lead generation software for B2B firms.

Or, at least, that's what we prefer to do in our leisure time. You know, as a pastime. There's no shortage of buzzwords and terms to keep track of in a world characterized by hashtags and acronyms like ABM, SEO, and CLV. And, once AI and Machine learning, in sales and marketing has been a hot topic of discussion.

People have been forecasting the arrival of the Fourth Industrial Revolution for several years, a movement fueled by the emergence of AI and Machine learning. Neither technology appears to be slowing down.

The Case for Artificial Intelligence and Machine Learning in B2B Marketing and Sales

In terms of marketing, there is some crossover between B2B and B2C enterprises. They are both dependent on not only the number of leads they generate, but also the volume of qualified leads. If the ultimate goal is to increase income, success is directly related to whether what you're selling is aligned with the individuals who are most inclined to buy. Other vanity metrics and KPIs are meaningless.

AI and Machine learning in sales and marketing can help both sides of the business better understand their consumer base. However, it’s even more so the case for B2B companies operating off longer and more complex buying cycles.

AI and Machine learning enhances lead quality in two ways: sourcing and scoring.

Everyone wishes to generate more leads. It's the driving force behind most marketing strategies that rely on numbers.

The more interested prospects you have to connect with, the more likely you are to close a transaction — unless the prospects are irrelevant to your firm in the first place. Lead scoring is an important aspect of B2B sales and marketing that goes beyond merely producing leads. How many of the leads produced in a month actually result in sales? The eventual goal of better understanding lead source quality and score with limited time and resources is a more efficient, automated sales process.

Using AI and Machine learning to improve digital advertising

In B2B marketing, the amount you spend on digital ads is closely related to relevancy. When you engage audiences to take action, you get the greatest bang for your buck.

AI and Machine learning is transforming this industry by removing the guesswork from targeting and optimization. Marketers can utilize this technology to offer consumers the adverts that are most relevant to them, lowering ad costs.

If the last two years have been defined by excitement and investigation of emerging AI and Machine learning and machine learning technologies, the coming year will be defined by implementation.

Conclusion

Perhaps you're a marketer or a salesperson who wants to learn how to apply AI or Machine learning. That's what it is. How it may make you appear more professional in front of your supervisor. Future advantages and disadvantages

And, more significantly, how you can make your job easier and faster in order to generate more B2B leads. Instead of simply gathering data, B2B marketers are realizing the importance of actionable insights.