Making Predictions with Matchbook
When to use Predict
Most organizations already collect valuable information — from how voters respond to your candidate, to who donates, unsubscribes, or signs up to
Data
creating lookalike audiences
We built Matchbook to help you raise more money. To us, that means reaching people who actually want to hear from your campaign or organization.
response bias in recent surveys
Earlier this year, in late June and early August, we conducted two different surveys to a random population of registered voters (first in California, and
introducing a new way of identifying issue support
Issue support scores – indicating how likely a person is to support a given issue, such as immigration reform or abortion access – have now been a
predicting presidential support: navigating the final stretch for Kamala Harris
With a new candidate, we need a new support model. This one produces a score showing the likelihood each individual will vote for Kamala Harris