No matter the size of your district, there will always be some variation in the turfs you plan to canvas. Certain areas may have a higher concentration of targeted voters, making them easier to cover and more likely to yield better results. Fortunately, the PDI platform offers a user-friendly tool to help you identify the most effective turfs based on your saved universe criteria.
The simplest way to use this tool is by analyzing the same saved universe you used to create your canvassing project. This method is ideal for identifying areas with high concentrations of targeted voters and understanding turf density.
Additionally, consider exploring other universes that could offer complementary insights, such as Democratic Party registration, Spanish speakers, ID’d supporters, or other key demographic groups with strategic value. You can tailor these options to your needs by creating saved universes for each target group.
We highly encourage users to experiment with this tool, as it provides unparalleled insight into your district. However, please note that the tool is only compatible with PDI Turfs and Precincts, as they have a fixed relationship with the PDI voter file.
Creating a Color Coded Map
From the Assign PDI Turfs or Precincts from Maps page, click on the Show Turf Priorities by Color button.
To begin, select any Saved Universe and click the "Process Buckets" button. This action will analyze and organize turfs into five distinct groups, or buckets, based on recommended percentile ranges. You also have the option to group turfs by raw household counts.
After processing the buckets, click the Load Map button to display them on the map. A legend will also appear, defining both the universe and bucket ranges.
After a few seconds, the color coded map will appear.
This feature offers valuable insights into your district and your campaign's effectiveness. The true advantage, however, lies in the ability to interact directly with the coded map, allowing you to assign or group high-value turfs into Assignment Zones.