To a large extent, a company's success depends on its ability to generate and maintain loyal and profitable customers. To do this, it is crucial to identify potential customers who are most likely to become "good customers" and focus sales efforts on them. However, this is not always easy.
Many companies have attempted to implement internal solutions to identify the most promising potential customers, but with little success. However, thanks to artificial intelligence and machine learning, at BRAINTRUST, we have developed a highly accurate and comprehensive algorithm called GUD, which uses advanced techniques to assess the likelihood that a lead will accept contact, make a purchase, and behave like a "good customer." After three years of development and training models with millions of real cases, GUD has become an essential tool for many companies in multiple industries and geographies.
The best thing about GUD is that it can be used as a service, which optimizes resources and implementation times. All you have to do is provide it with lead data, and GUD will provide accurate information on how likely they are to become "good customers." With a lift of 4, GUD multiplies the ability to make sales to leads by 4 times. Best of all, it can start delivering results in just a couple of weeks.
Artificial intelligence and machine learning are changing the way businesses interact with customers and sell their products. Evaluating leads for mass sales is just one of the many areas where AI is making a big difference. Across all industries, from e-commerce to finance and insurance, AI is helping companies identify more promising sales opportunities and build longer-lasting relationships with customers.
Downloadthe GUDpresentation here
