Some people say AI will bring a basic shift in how B2B marketing is done, whilst others opine that it will simply garner traditional methods. So, who is right? And importantly, what you should be doing to stay ahead of the curve?
So that being said, there is no magic wand that will drastically solve all problems. If you need to bring AI onboard, just focus on proven and used cases where it’s absolutely useful.
1. AI reduces the headache of scoring in lead generation
Normally, lead scoring is a drawn-out and tedious process. You spend time, reach to information overload and get the most crucial factors. For instance, you may focus on email opens or link clicks instead of checking every tiny detail.
Through AI, you can process data sets 24/7 without any loss of accuracy or fatigue and this is especially helpful for substrate suppliers.
What’s more…? Thanks to machine learning abilities AI only gets better at its task because it analyzes more data.
AI-generated lead scoring tools pick up on fine details (humans ignored them otherwise), such as scoring leads on the back of data-driven insights instead of marketers’ sixth sense. In this way, AI reduces time spending drastically, which results in an efficient lead scoring process, offers a more reliable, objective, and accurate method of lead scoring.
2. AI in lead generation minimizes website bounce rate and improves engagement
How the bounce rate of your website looks like? In the case of a high bounce rate, you’re not alone. Average bounce rates vary from industry to industry. However, if social media is your go-to option, your bounce rate might be over 50% and that’s where AI can help massively; especially if you are among the top scintillation detectors suppliers.
Marketers can customize and contextualize their content as per specific requirements. Tools like machine learning and Natural Language Processing (NLP) help customers in accessing information without barriers.
AI can search customer details such as browsing behavior and buying history. This provides marketers intuitive insights into customers’ requirements and also eradicates the need to get in touch with salespeople. That suggests customers buy when they feel ready and not when a marketer convinces them.
It’s important to have a low bounce rate. People will stay on your website longer if they are interested in your content, products, and company. The longer someone spends on your website, the more likely they are to become a lead and nurture themselves.
3. Collect better information on leads
It’s an open secret that one of the challenges B2B companies like substrate manufacturers face is to search how to use data in the best way. In a few cases, data is unavailable from different sources, or it is not possible to create an informational cross-section. It empowers B2B companies to pick which data to ignore and what information to use.
AI aids in solving this problem by factoring-in various data types that can create a better understanding of your visitors, leads, and customers. For instance, an organization can use AI to gather educational data from a business blog and gel it with LinkedIn information.
Similarly, automated email lists by AI help in figuring out how often a lead clicks, their email-open rate, and what they normally do in reaction. The more valuable or interesting the content is for them, the more odds they will move forward with it!
If you have a new lead, the AI system can quickly verify their contact information and assist you in determining your Total Available Market (TAM).
It’s also crucial to look back at previous conversations to learn more about your target audience. You can figure out who chats with you and how often they do so by using markers like region, occurrence frequency, or word strings.
AI is an amazing technology for lead generation, but the focus must be on identifying and minimizing customer churn. Laser focus on the needs of an existing client will make a more significant impact than getting a new lead.
4. AI offers a hyper-customized experience for B2B lead generation
Personalization is the business’s future. B2B buyers anticipate a hyper-personalized experience when they go online, and that contains the B2B lead generation website as well. On one platform, you get access to complete and rich information about the individual customers while you can offer them what they need.
Following are some ways you can use AI for improved lead generation:
Adaptive content hubs:
An ideal way for your blog organization! If you feel tired of scrolling pages and pages of blogs, this AI technique will be a unique experience. You can pick any pain point for the algorithms for making it easy to provide customized suggestions based on what they know about you so far.
Self-nurturing landing pages:
Before making a decision, the average buyer consumes at least 13 pieces of content from a single vendor. Landing pages are an excellent way to collect visitors’ contact information without overwhelming them with irrelevant information. You can ensure that your audience won’t get bored before deciding by providing personalized, relevant information in exchange for survey responses or an email address. They will also give valuable client insights!