JLL Case Study | Deeper Insights

JLL, a leading real estate and investment management company, was facing difficulties in gathering accurate and timely information about its customers’ activities in order to drive deeper customer engagement in sales meetings. The company’s insights teams were struggling to keep up with the vast amount of data available online, and traditional press clipping services were often outdated and provided insights too late for the sales and marketing teams to effectively use.

To overcome this issue JLL partnered with Deeper Insights, specialists with vast experience in developing advanced media monitoring platforms utilising artificial intelligence and machine learning technology. Using cutting-edge AI solutions they created a custom platform that scanned over 100,000 news sources on a daily basis, using natural language processing and predictive analytics algorithms to detect relevant events such as personnel changes, acquisitions, and expansions that would be valuable for JLL’s sales teams to act upon.

During the pilot phase of the platform, JLL’s sales teams closed 8% more business compared to their performance without the system. Additionally, the insights staff experienced a significant reduction in manual tasks, with time spent on research being cut by over 70% thanks to the platform’s automation capabilities.

Overall, working with Deeper Insights allowed JLL to leverage the power of technology to gain a deeper understanding of their customers and use that knowledge to drive stronger customer engagement in sales meetings.

“We have lots of researchers and people who generate insights for our clients, Deeper Insights helped us improve the speed at which we get insights and have better conversations with our clients.”

Chris Zissis, CIO Jones Lang LaSalle