It is every marketer’s dream to get a perfect picture and real-time layout of all current and potential customers. This near-fantasy mission of turning routine tasks of marketers into fast and effective solutions is helped by AI. That’s why the publication of experts from Reply about ai for sales can also help many people to move to the next level in their business. And try completely new technologies. However, we will talk about one aspect of AI. Namely about the possibilities associated with lead scoring. And its high level of automation, we will also tell you about a specific technology in this direction that has been working successfully for quite a long time.
How to use AI to automate lead scoring
Of course, not every lead will become a customer, much less a product customer. But how do you answer the eternal question of marketers: who should you spend time and effort on, and who shouldn’t? Where to put the most effort? Analytics show that about 80% of leads will not be the ones who will give their money and resources to purchase. How then to sort out potentially useless contacts?
It is the use of artificial intelligence that can help find the answers to these questions. Unlike conventional analytics using mathematical models, AI is more flexible. It considers more than just the usual statistical data. It uses a whole set of data to build quality lead scoring:
- all current known information about a potential customer, if available in public sources;
- contact analysis;
- data that is available, including after meetings or purchases have been made.
Based on this information, artificial intelligence builds a model and calculates, given the large amount of information, the probability of conversion. AI develops highly accurate predictions that correspond most reliably to actual events.
How AI systems work for sales: examples of call centers
AI-enabled lead scoring systems work successfully in many automated call centers. AI-powered platforms help effectively estimate the chances of conversion based on all incoming and external data.
They are used to pre-qualify and miscalculate leads to increase the likelihood of a sale during a call and other communication methods, creating a flexible and highly sophisticated system for grading a company’s leads with a high level of efficiency.
