Using Data Analytics to Pass Voter Referendums

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.

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  1. Identify barriers school districts face when passing operational levies.
  2. Understand which data points and demographics are critical to identify and target potential voters.
  3. Learn techniques to use specific data points to increase a district’s chances of passing voter referendums.


  • Fil Anastasio, Marketing & Business Development / Data Analytics, SHP
  • Shea McMahon, Columbus Director and Campaign Analytics Consultant, SHP


Tory Kennedy, Account Executive, Wordsworth Communications

Meta Information:

  • Tags: civic engagement, policy
  • Event: SXSW EDU
  • Format: Case Study
  • Track: Data
  • Session Focus Area
  • Level: Basic Understanding
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