Abstract Increasing attention is being paid to the Paris Climate Agreement and the impacts of Nationally Determined Contributions (NDCs) intended to limit global warming to 1.5 °C. However, the nature and evolution of existing policy mixes that underlie NDCs remain poorly understood. This critical issue has emerged from the outcomes of the Talanoa Dialogue for Climate Ambition, where little progress was made in building a comprehensive, evidence-based foundation for effective climate policy. To a large extent, this is due to the nature of the process, and a lack of data related to policy interventions in the pre-2020 period, notably their composition, coverage, and orientation. We seek to address these shortcomings by applying a directed content analysis to a dataset of national and city-level policy interventions. The aim is to quantify the nature and evolution of policy efforts that promote the adoption of low-carbon energy technologies (LCETs) globally. Fifteen databases, containing more than 10,000 policies and measures were reviewed. Our findings highlight the rapid spread of policy portfolios and an international convergence towards economic incentives (notably subsidies). At the city level, technology and infrastructure policies dominate. However, it is unclear to what extent behavioural factors (i.e., cognitive, motivational and contextual aspects) that affect the choice and use of LCETs are taken into account in policy design. This is particularly important because studies that model the feasibility of the 1.5 °C target reveal behavioural changes and the rapid adoption of low-carbon lifestyles as critical enabling factors. In response to the outcomes from the Talanoa Dialogue, we argue that policymakers need to go beyond stringent policy mixes and rapidly re-think their traditional economic-driven policymaking approach. Far more attention needs to be given to behavioural factors when designing, evaluating and implementing LCET policies.