Armed with these data, Essess advises its clients—cities, schools, the U.S. Department of Defense—on how to fix the leaks. Essess software is able to tailor its advice to a certain budget or timeframe. In one interesting service, Essess uses trend data to tell utility companies not only which utility customers are leaking heat, but which ones are the most likely to do something about it. Essess analyzes data about households across the U.S., including their mortgage payments, their members' ages, and their utility bills, to figure out who's most likely to buy new attic insulation, for example. It's kind of a weird use of predictive data, but ultimately, the results mean energy savings for households and for the environment.