AI

Benefits of Using AI for B2B Lead Generation

While the past two years have seen exploration and hype over the emergence of AI and machine learning technologies, the years ahead will definitely be times of their implementation. 

Now, are you wondering how all these can help your sales and marketing teams? What are these in the first place? And more importantly, how does it apply to lead generation and help you in getting more B2B leads faster? 

Hold on to that thought and allow us to shed light on this matter. Here are some AI B2B lead generation benefits that you could reap if you embrace the said innovation. 

  1. Improves Lead Quality

Aside from lead generation, one essential aspect of B2B sales and marketing is lead scoring. The question that begs to be answered is always, “Among all the leads that have been generated within the month, how many of these do translate to sales?”

With this, it is important for your sales and marketing team to determine which of the leads are worth pursuing. AI enters the picture with the benefit of helping your team identify which of these prospects are most likely to purchase. 

Employing it during the process of lead scoring enables companies to account for the behavior of a number of stakeholders. The predictive analysis serves as the bridge between vast customer data and what your team will do with it. AI, for its part, monitors what patterns and trends there are; thereby, allowing your team to concentrate on efforts that do matter instead of a one-size-fits-all approach for each lead. 

  1. Provides Valuable Customer Insights

When you build and optimize a lead generation funnel, the first step is to understand the journey of your customer because you will want to be on the same page with them in every sales phase with pertinent content. Try to know their challenges, the solutions that are ideal for them, and yes, even their manner of talking regarding these challenges that they encounter.

Aside from making sense of roughly mapped personas and generalizations, AI is changing our perceptions around a customers’ wants with the aid of machine learning. An example of this is social listening integrated with AI detection. This can aid in digging into the specific language adopted by social platforms to determine trends and keywords that are common. 

There are also AI companies that have developed software capable of recognizing voice patterns, which helps telemarketers in calculating the interest level of a prospect so that they can determine where to focus their efforts.

  1. Helps with Personalization

Big data in B2B marketing focus on centralization. To maximize it, your company needs to steer away from siloed systems and employ machine learning to distinguish patterns across the whole. It is worthwhile to note that such practice is the reason for the success of account-based marketing. 

Having your team getting insights from one source allows them to work together in creating targeted, personalized messages that address the particular needs of a business. When B2B customers encounter a more personalized buying experience, the sale cycle is shortened because there is now the establishment of trust between both parties. As a result, there is no need to spend too much time researching about a prospect and efforts can now be concentrated on the implementation

  1. Helps Nurture Relationships

B2B marketing personnel are familiar with one pain point – that is customer relationship management, both before and after-sale. 

One of the things that marketing personnel struggle with is responding to customer emails effectively; but thanks to AI software solutions, it is now possible for a two-way engagement without real individuals involved. This innovation does an analysis of the responses of customers to gauge their intentions and generate responses that will maintain the active status of conversations. 

You might have heard of some companies using chatbots too, which is another application of AI. When this is integrated among all channels that handle customers, they can be automated to answer generic FAQs and boost sales-minded content. 

Therefore, in conclusion, it is safe to say that people would definitely be reaping AI B2B lead generation benefits. Why? Because aside from mere data collection, B2B marketers have acknowledged the need for actionable insights. So it is quite a given that the coming years would see more and more marketers opting to go for automation and personalization to correctly determine which prospects to spend their efforts on. 

Schedule a meeting with our sales team today and see how can help you get qualified sales leads:
 https://meetings.hubspot.com/alex-otte/inbound-cat-meeting-with-alex

 

 

 

artificial intelligence for lead generation

3 Ways To Use Artificial Intelligence for Lead Generation

Artificial Intelligence for lead generation is here to stay and is revolutionizing the marketing and sales processes that we know and have practiced over the years. In a published report by Demandbase, it says that 80% of the respondents have expected AI to change the dynamics of marketing.
AI

Benefits of Using AI for B2B Lead Generation

While the past two years have seen exploration and hype over the emergence of AI and machine learning technologies, the years ahead will definitely be times of their implementation.

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