Case Study: ALM achieves actionable, privacy-safe customer insights with IBM Watson and IBM Blockchain

In response to Web 3.0, ALM evolves marketing strategies to meet new data privacy standards

ALM, an information and intelligence company serving the legal industry and other markets, needed to replace cookie-based tracking with a privacy-safe way to understand audiences, support revenue growth, and improve targeted marketing. To do this, ALM worked with IBM and IBM Business Partner Sherloq, using IBM Watson technology to help turn customer data into actionable insights while respecting data privacy standards.

IBM and Sherloq implemented an AI-driven solution built around Lawyerpages, a permission and cognitive fabric, and an IBM Blockchain-based compliance ledger on IBM Cloud. The result was a 360-degree view of data, 99.8% accuracy in predicting the source of consumer data, a 45% increase in signed intake for one law firm customer, more than 50% year-over-year growth for Lawyerpages, nearly 5.29 million impressions in six months, and a development cycle shortened by at least 1.5 years.

ALM

Matt Weiner

President of Marketing Services