Using Data Analytics to Pass Voter Referendums

Description:

School districts in 37 states depend on voter referendums for financing but can struggle to pass these levies because they fail to identify, reach and motivate the voters. But analyzing readily available public data can identify missing voters, recognize trends and even predict voter turnout. This case study will focus on how three school districts (rural, suburban and urban) used public info to target potential voters and successfully pass $500+ million in operating levies.