Attitudes about climate change are the product of many factors, such that single measures are generally inadequate for predicting pro-climate outcomes. We applied Latent Class Analysis (LCA) in a nationally representative sample of Canadians (N = ~2000) to reveal distinctions across the population on the issue of climate change. We identified five segments of Canadians from 13 measures of climate change-related beliefs, risk perceptions, affect, social norms, perceived self-efficacy, and self-reported willingness to take individual action in support of mitigation. Two thirds of the sample, labelled Committed (~25%) and Supportive (~37%), are most motivated in support of climate action. One third of the population (31%) represents a potentially “moveable middle”. These segments, labelled Ambivalent (~18%) and Indifferent (~13%), are not particularly motivated or engaged but might support collective action. A further small minority are Resistant (7%) to climate action and strongly disbelieve in climate change. LCA reveals differences among the five segments in their support for climate mitigation policy, climate literacy, susceptibility to climate-related misinformation, estimates of social consensus, and uptake of pro climate behaviours. This has identified key signals that suggest priority areas for further research, such as leveraging data-driven approaches to audience segmentation to build support for major policy initiatives.