Why Does B2B Marketing Need AI and Machine Learning (ML) for Lead Generation?

Lack of coordination among sales teams makes it hard for your company to align coverage, and limited data and knowledge sharing mean reps lack timely information and insights to inform their sales approaches.

ML gives you the ability to identify customer specific pain points at scale and uses the information to give sales reps the ability to share best practices, access valuable customer insights, and expedite sales processes that can make a meaningful difference to their bookings.

Innovative ML technology gives companies customer acquisition capability via the ability to extract, collate and convert relevant sales signals into ML algorithms to predict where the best customers are

ML capability with the right B2B database software provides a prioritised view of different types of leads and can guide you to balance quality leads and prospects to drive revenues.

Create hyper personalised experiences – 85% of buyers say they expect brands to personalise the first touchpoint. It’s impossible to create a truly personalised experience without help from machine learning.

Although content and research are important, without machine learning to deliver the content via a hyper-personalised experience, it won’t work.

The buyer’s journey is not linear, and buyers only spend about 17% of it meeting with any potential suppliers and the 56% of millennials working in B2B, familiar with technology, expect a modern and accommodating experience from your B2B website.

They don’t want to pick up a phone just to get a question answered – they expect to get all the answers from your website.