The Role Of Artificial Intelligence In Digital Demand Generation

Predicting the future is quite tricky when it comes to technology. The exemplary innovations and improvements keep rising to improve technology and make it work like human brains. A perfect example of this is the use of Artificial intelligence. AI today is everywhere, and most people have used it at some point. However, only a few people know and understand its role and contribution to demand generation for the eCommerce sector. Many lead generation software already use AI for lead generation and more. However, why businesses depend on AI for demand generation is still a mystery to many, and here is how to find out.

AI In Digital Demand Generation Reduces Bounce Rate

Most businesses suffer from high website bounce rates, especially those that rely on social media marketing. However, this doesn’t have to be a problem anymore. AI can help reduce the business bounce rate when marketers plate their part by contextualising and personalising content to target specific needs. AI uses tools like machine learning or Natural Language Processing to help users access and understand information without barriers.

Keeps Business Data Clean

Data is crucial for any business, which is why incorrect or unreliable data can lead to poor marketing and, thus, poor ROI. On the other hand, high-quality data is vital in business for several reasons: creating content, segmentation, and scoring leads. Therefore, businesses need to get rid of irrelevant data. AI comes into the picture to help eliminate irrelevant or inaccurate data from the beginning before it becomes a problem.

How? Business owners might ask.

When leads get into the business system, AI performs a checkup on it by opening different sources, e.g., LinkedIn, to confirm the legitimacy of the lead. It looks for contact information, the organisation and the job title. Having AI in place for businesses will help eliminate the problem that comes with bad data.

Reduces The Need For Scoring

Businesses understand that lead scoring can be demanding and daunting, especially if performed manually. But with AI in the picture, it helps process several data sets throughout with precision to prevent data loss. AI can work 24/7 analysing lots of data with its machine learning capabilities and still won’t make a mistake or lose the data. Furthermore, AI has some powered lead-scoring tools to help businesses score leads based on data insights. As a result, there is a better and more efficient digital demand generation process in minimal time.

Creates A Hyper-Personalised Experience For B2B eCommerce Lead Generation

Businesses rely majorly on personalisation. For example, B2B customers expect a hyper-personalised experience each time they go online, which includes the business’ lead generation website. A business’ shopping experience can improve with AI, thus generating more demand for the business. AI can help hyper-personalise the business experience to improve lead generation in these ways:

Exit-intent popups are personalised content suggestions that will help the business remember why the customers came to the business website. AI-enabled popups make sending new blog post alerts and emails easy to the customer’s feeds. It helps them get relevant information when they need it.
Adaptive content hubs – this is the best way to organise blogs. Perusing the blog section has become old. Businesses can now choose pain or vertical points for algorithms. It makes easily personalised suggestions based on customers’ knowledge of the business.
Self-nurturing lead pages – avoid overwhelming the page visitors with irrelevant content and only provide relevant, personalised content in exchange for the visitor’s email address. It makes a simple yet convincing and personalised way to make the page visitors continue to the next step.

AI plays a critical role in digital demand generation. Adapting to the buyer’s needs, hyper-personalised user experience, and using clean data are ways it achieves this goal. Therefore, businesses need to invest and implement better AI practices for better ROI and a good grasp of the competitive edge. It will help give a personalised way of connecting with customers and eliminating incorrect data.