This article discusses the social marketing planning process and strategies used to design a preconception health campaign, Show Your Love, launched in February 2013. Developing a social marketing strategy for preconception health is a challenging endeavor, in part because preconception health represents a set of diverse behaviors and the audience for the campaign is quite large, encompassing all women of childbearing age whether they intend to become pregnant or not. The network of organizations implementing the campaign, the National Preconception Health Consumer Workgroup, required a broad audience segmentation strategy; therefore, two large audiences were selected. This commentary describes the two primary audiences selected for the campaign based on the Transtheoretical Model-intenders (those in contemplation, preparation, and action) and nonintenders (precontemplators)-and explores how levels of knowledge, motivations, the campaign product, and the campaign goals are distinct for each audience. Additionally, the authors describe potential extensions to the segmentation strategy that could offer finer grained approaches for social marketers who may be building on the Show Your Love campaign or designing other programs in this area.
This article shares an in-depth summary of a formative evaluation that used quantitative data to inform the development and selection of promotional ads for the antismoking communication component of a social marketing campaign. A foundational survey provided cross-sectional data to identify beliefs about quitting smoking that campaign messages should target, as well as beliefs to avoid. Pretesting draft ads against quantitative indicators of message effectiveness further facilitated the selection and rejection of final campaign ads. Finally, we consider lessons learned from the process of balancing quantitative methods and judgment to make formative decisions about more and less promising persuasive messages for campaigns.
Objectives: A common commercial marketing segmentation technique is to divide a population into groups based on psychographic characteristics (i.e., attitudes and interests). We used this approach to define segments of female and male college students and examine substance use differences.
Method: We administered an online survey to 24,055 students at six colleges in the Southeastern United States (response rate 20.1%, n = 4,840), obtaining complete data from 3,469 participants. We assessed sociodemographics, psychographic factors such as those used by the tobacco industry to define market segments, and substance use (cigarettes, other tobacco products, alcohol, and marijuana). Cluster analysis was conducted among females and males using 15 psychographic measures (sensation seeking, Big Five personality traits, and nine measures adapted from tobacco industry documents), identifying three segments per sex.
Results: Safe responsibles were characterized by high levels of agreeableness, conscientiousness, emotional stability, academic achievement, and religious service attendance. Stoic individualists were characterized by low extraversion, sensation seeking, and openness. Thrill-seeking socializers were characterized by high levels of sensation seeking and extraversion. Among females, thrill-seeking socializers were significantly more likely than safe responsibles to have used any substance in the prior 30 days (odds ratio [OR] = 2.04, 95% confidence interval [CI] [1.65, 2.52]; Nagelkerke R2 = .084). Among males, stoic individualists (OR = 1.50, CI [1.08, 2.08]) and thrill-seeking socializers (OR = 1.53, CI [1.09, 2.13]) were more likely than safe responsibles to have used substances in the past 30 days (Nagelkerke R2: .109).
Conclusion: Psychographic segmentation can identify young adult subgroups with differing psychographic and substance use profiles and inform health campaigns and messaging targeting youth.
Carbon monoxide (CO) poisonings in the United States consistently occur when residents improperly use portable gasoline-powered generators and other tools following severe storms and power outages. However, protective behaviors-such as installing CO alarms and placing generators more than 20 feet away from indoor structures-can prevent these poisonings. This study identified knowledge, attitudes, and beliefs that lead consumers to adopt risk and protective behaviors for storm-related CO poisoning and post-storm generator use. Four focus groups (32 participants in total) were conducted with generator owners in winter and summer storm-prone areas to explore home safety, portable generator use, CO poisoning knowledge, and generator safety messages. Discussions were transcribed, and findings analyzed using an ordered meta-matrix approach. Although most generator owners were aware of CO poisoning, many were unsure what constitutes a safe location for generator operation and incorrectly stated that enclosed areas outside the home-such as attached garages, sheds, and covered porches-were safe. Convenience and access to appliances often dictated generator placement. Participants were receptive to installing CO alarms in their homes but were unsure where to place them. These findings suggest a deficit in understanding how to operate portable generators safely and a need to correct misconceptions around safe placement. In terms of behavioral price, the simple installation and maintenance of inexpensive CO alarms may be the most important strategy for ultimately protecting homes from both storm-related and other CO exposures.