Behavioral Economics has in recent years played a key role in informing the design of non-price interventions aimed at promoting energy conservation behaviors in residential housing. Some of the most influential contributions of the discipline in an applied setting have centered around the development of norm-based interventions. The success that these interventions have had in specific contexts presents an opportunity to exploit them as tools for tackling a prevalent type of poverty at the EU level: energy poverty. Recent contributions to the literature highlight the role of inefficient energy behavior as a significant driver of this particular type of poverty, which is characterized by an inability to afford the basic energy services necessary to guarantee a decent standard of living. Therefore, the effectiveness of norm-based interventions in vulnerable populations merits further investigation to determine whether this approach can suitably address the behavioral components of energy poverty by promoting efficient energy consumption and conservation efforts. This study reports on a pilot conducted in an exemplary social housing context (located in Bolzano, Italy) with the aim to assess the effectiveness of social comparison interventions in energy vulnerable groups. Our investigated cohort covers an initial small sample of apartments with a large representatives of elderly individuals and other energy-vulnerable groups. Using a design that combines appeals to injunctive and descriptive norms embedded within In-Home Devices (IHD) in recently retrofitted homes, our objective is to set a basis for the assessment of effectiveness of these types of interventions in social housing populations. Our study seeks to provide useful methodological insights to policy makers on how to effectively design behaviorally informed interventions aimed at tackling energy poverty. Despite the current data limitations, our results do seem to suggest that uniformly applied norm-based interventions may have potentially backfiring effects in small-scale implementations. Therefore, they suggest that attention needs to be paid to household composition and pre-existing levels of consumption, when designing behavior-change interventions in these groups.