Case Study: a large internet retailer boosts sales lead targeting with MAQ Software's AI model

Large Internet Retailer - Customer Case Study

MAQ Software partnered with a large internet retailer to address the challenge of generating sales leads from its base of over 20 million US small businesses. The client needed to identify which businesses were most likely to purchase new products, but their traditional lead generation methods were expensive and time-consuming. They required a way to analyze vast amounts of customer data to predict future purchase intent accurately.

The solution implemented by MAQ Software used machine learning models with multiclass classification algorithms to sort customers into high, medium, or low purchase intent categories. The ML model was highly effective, correctly identifying low-intent customers with 84.1% accuracy. This allowed the client to focus their sales efforts more effectively, resulting in significantly reduced sales expenses and more focused marketing. MAQ Software delivered a quick, low-cost method that saved the client time and resources.