Donald Trump

Presidential Campaign

Targeting and Messaging with Data Driven Concepts

Developed a model identifying potential Donald Trump supporters who had not previously voted in a Republican primary. Logistic regression identifying 142,000 individuals was developed from polling data. The model predicted a 72 percent propensity to support Trump. Test Universe received a total of seven contacts (5 email 1 phone call and 1 text message).

Modeling Process

  • Clean list with maximum enhancements: Vote History, Raw Census, Commercial Data and Boutique Data
  • Tagged polling
  • Construct models
  • Verification - a vital step
  • Segment Refinement

Results

By focusing on a modeled universe; not only did the test generate first time primary voters for the desired candidate; but it also was done at lest than half the cost of the next lowest expenditure per vote.

  • Generated first time primary voters for the desired candidate
  • Done at lest than half the cost of the next lowest expenditure per vote