<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">Gates Open Res</journal-id>
            <journal-title-group>
                <journal-title>Gates Open Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2572-4754</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/gatesopenres.12888.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>The impact of market segmentation and social marketing on uptake of preventive programmes: the example of voluntary medical male circumcision. A literature review</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved, 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes" equal-contrib="yes">
                    <name>
                        <surname>Gomez</surname>
                        <given-names>Anabel</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2428-8083</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>Loar</surname>
                        <given-names>Rebecca</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>England Kramer</surname>
                        <given-names>Andrea</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>AVAC, AVAC, New York City, NY, 10027, USA</aff>
                <aff id="a2">
                    <label>2</label>Independent Consultant, Independent Consultant, Austin, Texas, USA</aff>
                <aff id="a3">
                    <label>3</label>Independent Consultant, Independent Consultant, St Petersburg, Florida, USA</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:agomez@avac.org">agomez@avac.org</email>
                </corresp>
                <fn id="fn1">
                    <p>
                        <sup>*</sup>These authors have contributed equally to the work.</p>
                </fn>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>11</day>
                <month>12</month>
                <year>2018</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2018</year>
            </pub-date>
            <volume>2</volume>
            <elocation-id>68</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>29</day>
                    <month>11</month>
                    <year>2018</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2018 Gomez A et al.</copyright-statement>
                <copyright-year>2018</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://gatesopenresearch.org/articles/2-68/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold>The business world has long recognized the power of defining discrete audiences within a target population. However, market segmentation&#x2019;s full potential has not been applied to the public health context. While some broad elements of market segmentation (e.g., age, geography) are considered, a nuanced look at behavioural and psychographic segmentation, which could greatly enhance the possibility of lasting behaviour change, is often missing.</p>
                <p>Segmentation, and the associated mindset which acknowledges the multi-dimensional differences between people, allows service providers, implementers, policymakers, and government officials to target initiatives and lead to a greater likelihood of lasting behavioural change.</p>
                <p>This paper investigates what segmentation is, how it has been applied to voluntary medical male circumcision (VMMC), how it can be applied in development, and the challenges in both measuring and adopting segmentation as part of program design.</p>
                <p>
                    <bold>Methods:</bold> We performed a detailed search of peer-reviewed literature using PubMed, ProQuest, ScienceDirect, Google Scholar, and the abstract directories of the International AIDS Society (IAS) published between January 2015 and September 2018. We also accessed articles from business databases such as the Harvard Business Review. </p>
                <p>
                    <bold>Results:</bold> Results from a VMMC-focused intervention that successfully designed and delivered segmentation-based programs in two countries demonstrated that it is possible to adapt private sector approaches. However, within the sector of global development that is most familiar with segmentation, these efforts rarely go beyond basic demographic segments.</p>
                <p>
                    <bold>Conclusions:</bold> Existing published material tends not to measure the impact of segmentation itself, but the impact of the intervention to which segmentation was applied, which makes it challenging for the development sector to invest in the approach without evidence that it works. Nonetheless, the experiences of segmentation and demand creation for VMMC do highlight the opportunity for better integrating this approach in HIV prevention and in global development and measurement initiatives. </p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>HIV prevention</kwd>
                <kwd>segmentation</kwd>
                <kwd>social marketing</kwd>
                <kwd>demand creation</kwd>
                <kwd>innovation</kwd>
                <kwd>human-centred design</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/100000865">
                    <funding-source>Gates Foundation</funding-source>
                    <award-id>OPP1161329</award-id>
                </award-group>
                <award-group id="fund-2" xlink:href="http://dx.doi.org/10.13039/100000200">
                    <funding-source>United States Agency for International Development</funding-source>
                    <award-id>AID-OAA-A-15-00035</award-id>
                </award-group>
                <award-group id="fund-3" xlink:href="http://dx.doi.org/10.13039/100009054">
                    <funding-source>U.S. President&#x2019;s Emergency Plan for AIDS Relief</funding-source>
                    <award-id>AID-OAA-A-15-00035</award-id>
                </award-group>
                <funding-statement>This work is supported by the Gates Foundation [OPP1161329].&#13;
&#13;
The AIDS Vaccine Advocacy Coalition&#x2019;s (AVAC)  product introduction and access efforts are supported through grants from the Gates Foundation, via the HIV Prevention Market Manager grant agreement [OPP1135316], and by the generous support of the American people through the U.S. President&#x2019;s Emergency Plan for AIDS Relief (PEPFAR) and the U.S. Agency for International Development (USAID), via the OPTIONS Consortium Cooperative Agreement No. AID-OAA-A-15-00035). The content of this article is solely the responsibility of the authors and does not necessarily represent the views of the Gates Foundation, PEPFAR, USAID, or the United States Government.&#13;
&#13;
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.&#13;
</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec>
            <title>List of abbreviations</title>
            <p>AGYW&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Adolescent girls and young women</p>
            <p>EAMC&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Early adolescent male circumcision</p>
            <p>EIMC&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Early infant male circumcision</p>
            <p>HIV&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Human immunodeficiency virus</p>
            <p>IAS&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;International AIDS Society</p>
            <p>PrEP&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Pre-exposure prophylaxis</p>
            <p>VMMC&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;Voluntary medical male circumcision</p>
        </sec>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Defining discrete audiences within a target population is a marketing approach used widely in the commercial world, where strong understanding of a consumer segment is directly tied to profits. Even private sector giants have had massive failures due to poor consumer understanding: Coca-Cola&#x2019;s C2 drink is an example. In order for companies to make targeted marketing decisions they rely on segmentation, the process of dividing &#x201c;a market into smaller groups of buyers with distinct needs, characteristics, or behaviors who might require separate products or marketing mixes&#x201d;
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. Most commonly, markets are segmented by geographic, demographic, psychographic (psychological attributes such as values, attitudes, and beliefs), and behavioural factors
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. The resulting breakout can then be used to make strategic decisions about whom to reach and how to connect meaningfully with them through product and service experiences. A specific market segment includes individuals with similar preferences and characteristics, and different market segments are clearly differentiated (
                <xref ref-type="table" rid="T1">Table 1</xref> presents and discusses characteristics associated with useful market segments) so that the campaigns, products, and marketing tools applied to them can be implemented without overlap. Moreover, a set of criteria are typically used to define a segment &#x2013; to identify individuals who share those characteristics &#x2013; and those who do not fit that segment&#x2019;s criteria fall into a different segment. The value of these segments is to have clear characteristics associated with a set of marketing approaches and, in turn, to drive quantifiable outcomes
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>.</p>
            <table-wrap id="T1" orientation="portrait" position="anchor">
                <label>Table 1. </label>
                <caption>
                    <title>Characteristics of useful market segments.</title>
                </caption>
                <table content-type="article-table" frame="hsides">
                    <tbody>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">1) Identifiable/Differentiable. Customers in each segment should possess measurable key attributes &#x2013; such as usage and consumption
                                <break/>behaviours and purchasing preferences &#x2013; that clearly distinguish them from customers in other segments.</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">2) Substantial. According to Harvard Business Review&#x2019;s Gavett, &#x201c;It&#x2019;s usually not cost-effective to target small segments &#x2013; a segment,
                                <break/>therefore, must be large enough to be potentially profitable.&#x201d; In Gichuru&#x2019;s words, &#x201c;Marketing segments must be large enough to meet the
                                <break/>financial needs of the company and the product.&#x201d;</td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">3) Accessible. Are communication and distribution channels in place to reach each segment? To be useful, segments must be accessible
                                <break/>through promotional tools. </td>
                        </tr>
                        <tr>
                            <td align="left" colspan="1" rowspan="1">4) Sustainable. Gavett states that &#x201c;a segment should be stable enough for a long enough period of time to be marketed to strategically.&#x201d;
                                <break/>This points away from basing segmentation on attributes that tend to fluctuate, such as lifestyle.</td>
                        </tr>
                    </tbody>
                </table>
                <table-wrap-foot>
                    <fn>
                        <p>
                            <italic toggle="yes">
                                <bold>Sources:</bold>
                            </italic> 
                            <ext-link ext-link-type="uri" xlink:href="https://hbr.org/2014/07/what-you-need-to-know-about-segmentation">https://hbr.org/2014/07/what-you-need-to-know-about-segmentation</ext-link>
                        </p>
                    </fn>
                    <fn>
                        <p>
                            <ext-link ext-link-type="uri" xlink:href="http://ijecm.co.uk/">http://ijecm.co.uk/</ext-link> ISSN 2348 0386</p>
                    </fn>
                    <fn>
                        <p>
                            <ext-link ext-link-type="uri" xlink:href="https://www.iiste.org/Journals/index.php/EJBM/article/viewFile/647/540">https://www.iiste.org/Journals/index.php/EJBM/article/viewFile/647/540</ext-link>
                        </p>
                    </fn>
                </table-wrap-foot>
            </table-wrap>
            <p>While some broad elements of segmentation, such as age and geography, have been applied in the development sector, the power of behavioural and psychographic segmentation has been largely overlooked. According to Samuel, &#x201c;psychographics, which measure customers&#x2019; attitudes and interests rather than &#x2018;objective&#x2019; demographic criteria, can provide deep insight that complements what we learn from demographics&#x201d; (see 
                <ext-link ext-link-type="uri" xlink:href="https://hbr.org/2016/03/psychographics-are-just-as-important-for-marketers-as-demographics">Harvard Business Review article on psychographics</ext-link>). This type of segmentation provides a deeper understanding of the desires, needs, and decision-making considerations of a potential user of a product or service. Applied correctly, it could enhance efficacy of public health initiatives, ensure new products reach the people most likely to need and use them, and increase the likelihood of lasting behavioural change. Using the example of voluntary medical male circumcision (VMMC), this paper shows how segmentation has been applied in development and discusses the challenges in both measuring and adopting segmentation as part of program design.</p>
            <p>In an era of constrained funding for HIV primary prevention basics like demand creation for male and female condoms, there is a need to be more targeted with resources in order to reach the right people with the right intervention &#x2013; a higher priority than reaching all people. Groups sharing common attributes are more likely to respond similarly to a given demand creation strategy, but addressing all men aged between 15&#x2013;19 as if they are identical is unlikely to result in cost-efficient, relevant, or relatable communication, whether it takes place at an interpersonal (e.g., peer educator) or mass level.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <p>To better understand what the literature reveals about the barriers to and benefits of segmentation, both for VMMC in particular and for demand creation for HIV preventive interventions more broadly, we queried scholarly databases, health and innovation journals, and other publications for studies, analyses, and peer-reviewed articles on segmentation published between January 2015 and September 2018. The types of literature considered included case studies, systematic reviews, meta-analysis, and journal articles. We performed a detailed search of the existing peer-reviewed literature using 
                <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/pubmed/">PubMed</ext-link>, 
                <ext-link ext-link-type="uri" xlink:href="https://www.proquest.com/">ProQuest</ext-link>, 
                <ext-link ext-link-type="uri" xlink:href="https://www.sciencedirect.com/">ScienceDirect</ext-link>, 
                <ext-link ext-link-type="uri" xlink:href="https://scholar.google.co.uk/">Google Scholar</ext-link>, and the abstract directories of the International AIDS Society (IAS). We searched these sources for keywords including HIV prevention, segmentation, demand creation, demand generation, innovation, behaviours, human-centred design, segmentation evaluation, campaign qualitative evaluation, campaign success, campaign failure, target audience, social marketing, campaign lessons learned, and VMMC. Our primary application of interest was VMMC, with a secondary emphasis on HIV prevention programs related to adolescent girls and young women (AGYW). Sub-Saharan Africa was the priority region of interest, with examples elsewhere in low and middle-income countries a subordinate focus. The hundreds of results generated by these criteria were then individually examined and collated by subject-matter experts for relevance to different main aspects of this particular piece of work; full citations were developed for 61 select articles, along with complete summaries of their significance. A second round of keyword searching was conducted, this time expanding sources queried from the listed databases to include premier marketing journals and publications in order to provide more complete information regarding existing applications of segmentation (as an approach predominantly employed and evaluated predominantly within the context of private sector work). The resulting, updated bibliography included 40 sources and was reviewed a second time to produce the comprehensive list of sources (44) which informed initial drafting of the literature review text. After subsequent rounds of writing and editing, including extracting information deemed unnecessary and as a result eliminating some citations, this literature review&#x2019;s current bibliography has been updated to represent its use of 37 carefully curated sources. It should be noted that this literature review did not include a need to address consent issues.</p>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <p>Our findings indicate that market segmentation has, to date, most often been applied to global health fields that function for profit and, as such, tend to view their clients as customers, with preferences to discover and cater to, rather than as patients with needs that are often assumed to be homogenous within a broadly defined population, such as by diagnosis or perceived need. The latter view is associated with interventions designed from the top down. However, areas of global health with a development focus or non-profit structure and culture have been slower to adopt or apply market segmentation. Moreover, existing published materials on its applications tend not to measure the impact of segmentation itself, but the impact of the intervention to which segmentation was applied, generally through uptake measures.</p>
            <p>On top of the traditional difficulties of measuring impact in the global health and development space (e.g., long observation times, difficult data gathering, complex influences on decision-making), segmentation requires additional thought to isolate the impact of the strategies themselves. While we are able to observe that using segmentation strategies offers a framework to design more nuanced and resonant interventions, it is difficult to isolate the impact of segmentation from the many other steps, methodologies, and strategies that are part of a robust human-centred design process. As multi-disciplinary consortiums take on multi-year projects, it becomes increasingly difficult to isolate specific contributions when evaluating overall efficacy.</p>
            <p>It is also difficult to measure impact because a segmentation strategy is not a product or a message or an experience on its own; it is a vehicle for developing them. In this way, the segmentation step is not tested directly, but indirectly through the things it produces &#x2013; making it challenging to draw an objective cause and effect relationship.</p>
            <p>Because the value and impact are difficult to isolate, segmentation is often overlooked or attempted unsystematically. Sgaier 
                <italic toggle="yes">et al.</italic> determined that approaches to demand generation were inconsistent, not evidence-based, and poorly coordinated. This work goes on to say that &#x201c;political and social factors, including ignorance of the need for strategic demand generation, may contribute to inadequate funding and focus.&#x201d; The authors found that there was scant evidence on approaches to demand generation for VMMC, both in terms of understanding drivers of demand and in terms of evaluating existing interventions
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>.</p>
            <p>In a later article for the Stanford Social Innovation Review, Sgaier 
                <italic toggle="yes">et al</italic>. expanded on these issues, citing particular cases. For example, in Niger, a limited understanding of the value of segmentation at the highest levels caused discussions with governments and partners to drag on for more than three years before segmentation could begin to be implemented. Even once segmentation is underway, Sgaier 
                <italic toggle="yes">et al</italic>. note myriad issues, including restricted ability to design the research, limited number of people with experience in the segmentation process, and difficulty transferring the findings into large-scale programs
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. In the case of HIV prevention, the psychographic measures of risk perception and belief about the efficacy of a particular intervention proved to be a more effective approach to the segmentation of men into target audiences than basic demographic distinctions. Designing a program of social promotion that is tailored for groups based on these values, attitudes, and decision-making requirements creates the greatest likelihood for change in HIV-related behaviours among each segment
                <sup>
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>.</p>
            <p>Meanwhile, Terris-Prestholt and Windmeijer looked at interventions that promote behaviour change. They determined that the impact of interventions aimed at the ongoing behaviours that are relevant to prevention are slow to take hold and should therefore be evaluated over a longer timeframe
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. However, current funding mechanisms generally do not allow sufficient time for such change to take place and be observed, making interventions based on segmentation hard to evaluate.</p>
            <p>Though there are difficulties in exact measurement, the most compelling evidence for the efficacy of segmentation is to look at when and how it is used. Specifically, it is often brought in when nothing else is working or when there is a drop-off in the efficacy of an intervention. This typically occurs when generalized, homogenous efforts have reached the most easily persuaded among the target audience and nuanced interventions are needed for more resistant members of the target audience. This was the case with VMMC, where early adopters of the procedure had been reached and demand was plateauing (
                <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Annual number of voluntary medical male circumcisions, 2008&#x2013;2017.</title>
                    <p>
                        <italic toggle="yes">Source:</italic> 
                        <ext-link ext-link-type="uri" xlink:href="https://www.avac.org/sites/default/files/resource-files/AVACreport2018.pdf">https://www.avac.org/sites/default/files/resource-files/AVACreport2018.pdf</ext-link>. 
                        <italic toggle="yes">This graphic has been reproduced with permission from AIDS Vaccine Advocacy Coalition (AVAC).</italic>
                    </p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/13982/3e890521-9213-42db-b268-92fb73babe71_figure1.gif"/>
            </fig>
            <p>Segmentation can also be used to investigate why efficacy has been uneven. The knowledge gained from segmentation can be used to design specific interventions (e.g., messaging, experiences, campaigns) in situations where demand is lagging, or to prioritize outreach to specific groups if resources are constrained. This is especially true when used in conjunction with human-centred design, another methodology increasingly applied in global health programs when traditional strategies start to produce declining returns on investment.</p>
            <p>Despite challenges, segmentation also offers a large range of opportunities for the sector. The Reproductive Health Supplies Coalition is one of a growing number of organisations in development that acknowledge that segmentation provides empirical evidence which can help guide the most efficient and effective use of resources. The Coalition states that &#x201c;market segmentation data can shape family planning&#x2026;(and) it can increase market efficiency for the government stewards of public resources&#x201d;
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. It goes on to say that policymakers can use market segmentation research to &#x201c;draft evidence-based policy initiatives, giving government officials a more useful context to decide which policies are worth enacting.&#x201d; </p>
            <p>The identification of segments can also guide decisions about how to meet performance and delivery objectives within a health system. For example, segmentation studies can identify whether one group of end users will likely access a prevention service in a private clinic rather than a public one. Most obviously, segmentation can be used to guide communication at all consumer touchpoints from the community to the clinic, and on a mass scale. </p>
            <sec>
                <title>The application in VMMC programs</title>
                <p>The example of VMMC lends itself well to a segmentation approach. The audience of those who may undergo the procedure already encompasses distinct subdivisions by age (e.g., early infant male circumcision (EIMC), early adolescent male circumcision (EAMC), &#x201c;catch-up&#x201d; population segments comprised of older men). The literature is replete with examples of such demographic segmentation and its applicability to developing more effective promotions, including via social marketing
                    <sup>
                        <xref ref-type="bibr" rid="ref-8">8</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref-13">13</xref>
                    </sup>. Notable examples include the Kingdom of Eswatini&#x2019;s successful VMMC program, which prioritised EIMC as the &#x201c;sustainment&#x201d; component of a comprehensive set of VMMC interventions for multiple age brackets
                    <sup>
                        <xref ref-type="bibr" rid="ref-14">14</xref>
                    </sup>; Lane 
                    <italic toggle="yes">et al.</italic>&#x2019;s supplement of nine studies across South Africa, Zimbabwe, and Tanzania, which targeted 10&#x2013;14-year old adolescent males through messaging around key incentives or barriers to VMMC uptake (motivation, counselling, wound healing, parental involvement, female peer support, quality of in-service communication, and providers' perceptions)
                    <sup>
                        <xref ref-type="bibr" rid="ref-15">15</xref>
                    </sup>; and an observational prospective intervention study in the Orange Farm township of South Africa, which successfully obtained male circumcision prevalence of 80% among adult men within just three months
                    <sup>
                        <xref ref-type="bibr" rid="ref-16">16</xref>
                    </sup>. Modelling investigations likewise find age to be a beneficial, and in some cases particularly cost-effective
                    <sup>
                        <xref ref-type="bibr" rid="ref-17">17</xref>,
                        <xref ref-type="bibr" rid="ref-18">18</xref>
                    </sup>, basis for market segmentation
                    <sup>
                        <xref ref-type="bibr" rid="ref-19">19</xref>,
                        <xref ref-type="bibr" rid="ref-20">20</xref>
                    </sup>. Geographic segmentation is similarly common
                    <sup>
                        <xref ref-type="bibr" rid="ref-13">13</xref>,
                        <xref ref-type="bibr" rid="ref-17">17</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref-19">19</xref>,
                        <xref ref-type="bibr" rid="ref-21">21</xref>
                    </sup>, and through modern mapping technology can offer novel applications
                    <sup>
                        <xref ref-type="bibr" rid="ref-21">21</xref>,
                        <xref ref-type="bibr" rid="ref-22">22</xref>
                    </sup>.</p>
                <p>Importantly, however, recent work also emphasizes the need for segmentation that goes beyond age to distinguish among individuals&#x2019; perceived motivations or disincentives for VMMC, as well as beyond the candidate population for VMMC to highlight the role of decision-making &#x201c;influencers&#x201d; (i.e., female partners, family members like parents, grandparents, and parents-in-law, trusted community leaders like sports team coaches), who may be effectively targeted through social marketing promotions of VMMC to encourage its uptake among the men in their lives
                    <sup>
                        <xref ref-type="bibr" rid="ref-23">23</xref>
                    </sup>. 
                    <xref ref-type="fig" rid="f2">Figure 2</xref> depicts a representation of segments applied to VMMC in Zambia.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Separation of surveyed Zambian men into seven voluntary medical male circumcisions (VMMC)-candidate segments.</title>
                        <p>
                            <italic toggle="yes">Source:</italic> 
                            <ext-link ext-link-type="uri" xlink:href="https://healthcommcapacity.org/wp-content/uploads/2017/06/Albert-Machinda-Society-for-Family-Health.pdf">https://healthcommcapacity.org/wp-content/uploads/2017/06/Albert-Machinda-Society-for-Family-Health.pdf</ext-link> 
                            <italic toggle="yes">This graphic has been reproduced with permission from The Bill and Melinda Gates Foundation.</italic>
                        </p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/13982/3e890521-9213-42db-b268-92fb73babe71_figure2.gif"/>
                </fig>
                <p>The work to segment Zambian and Zimbabwean men along behavioural and psychographic lines provides the most straightforward example of a non-age-based population dissection with findings readily applicable to social marketing interventions. In this case, men were segmented in alignment with factors that motivated and/or supported them on a personal level to undergo VMMC. Men were also segmented according to influences at the community or structural level that discouraged or encouraged uptake
                    <sup>
                        <xref ref-type="bibr" rid="ref-24">24</xref>
                    </sup>. Another important finding from the &#x201c;influencer&#x201d; cluster of studies relates to how campaigns are conducted 
                    <italic toggle="yes">after</italic> segmentation. VMMC candidates, perhaps due to the intimate nature of the decision and procedure, exhibit a strong preference for individual over mass communication on this issue
                    <sup>
                        <xref ref-type="bibr" rid="ref-9">9</xref>,
                        <xref ref-type="bibr" rid="ref-25">25</xref>
                    </sup>. This preference is borne out by both the insignificant results yielded in a study which leveraged the mass communication platform of SMS to deploy VMMC-related information and counselling
                    <sup>
                        <xref ref-type="bibr" rid="ref-26">26</xref>
                    </sup>, as well as by two unsuccessful VMMC promotion case studies which cited a lack of consideration for sociocultural context (such as including the perspectives and gaining the support of &#x201c;traditional leaders, healers and circumcisers&#x201d;) as a reason for failure
                    <sup>
                        <xref ref-type="bibr" rid="ref-27">27</xref>
                    </sup>. In demand creation campaigns, personal counselling or one-to-one approaches favourably impacted willingness to undergo VMMC or to consider it for one&#x2019;s dependents. Quality market segmentation conducted before beginning such an individualised intervention has the potential to make this otherwise costly and labour-intensive &#x2013; yet highly effective &#x2013; approach more feasible to implement
                    <sup>
                        <xref ref-type="bibr" rid="ref-9">9</xref>,
                        <xref ref-type="bibr" rid="ref-16">16</xref>,
                        <xref ref-type="bibr" rid="ref-28">28</xref>
                    </sup>.</p>
                <p>Market segmentation can also identify whom 
                    <italic toggle="yes">not</italic> to target. A 2015 analysis &#x201c;explored correlates of male circumcision status among men and their social, economic, health and sexual behaviour factors.&#x201d; This analysis provided characteristics for better targeting and intervention design. In this case, limited resources for uptake campaigns could be directed toward populations of greatest need and minimize the use of resources directed at segments that were unlikely to choose VMMC under any circumstance
                    <sup>
                        <xref ref-type="bibr" rid="ref-29">29</xref>
                    </sup>.</p>
                <p>There is also some evidence for market segmentation&#x2019;s value in creating demand for HIV preventive services outside of VMMC. Cremin 
                    <italic toggle="yes">et al</italic>. use a mathematical model to isolate certain subsets of Nairobi&#x2019;s population in which HIV incidence is on the rise, in contrast to its trend of decline at the city level, and to suggest optimal interventions for reducing HIV infection among these high-risk groups
                    <sup>
                        <xref ref-type="bibr" rid="ref-30">30</xref>
                    </sup>. Reed 
                    <italic toggle="yes">et al</italic>. extrapolate lessons learned from VMMC scale-up in the region to support oral pre-exposure prophylaxis (PrEP) expansion among another targeted market segment
                    <sup>
                        <xref ref-type="bibr" rid="ref-31">31</xref>
                    </sup>. Also addressing the AGYW audience, Celum 
                    <italic toggle="yes">et al</italic>. explore how social marketing and innovative market segmentation can increase demand for and optimise uptake and effective use of PrEP
                    <sup>
                        <xref ref-type="bibr" rid="ref-32">32</xref>
                    </sup>; Eakle 
                    <italic toggle="yes">et al</italic>. point to this potent combination as a particularly useful means of enhancing PrEP demand generation among more sceptical communities
                    <sup>
                        <xref ref-type="bibr" rid="ref-33">33</xref>
                    </sup>; and Luecke 
                    <italic toggle="yes">et al</italic>. examine the demographic and behavioural correlates of preferred PrEP formulations, arguing that a deeper understanding of women&#x2019;s product preferences can guide not only product development but also drive demand creation through social marketing
                    <sup>
                        <xref ref-type="bibr" rid="ref-34">34</xref>
                    </sup>. Sgaier, too, opines from family planning work in India that psychographic-behavioural segmentation can better forecast demand and, &#x201c;as in the private sector, a staged market launch that actively stimulates uptake can be used to match appropriate products to suitable customers&#x201d; (see 
                    <ext-link ext-link-type="uri" xlink:href="https://www.devex.com/news/opinion-in-uttar-pradesh-women-know-about-contraception-options-why-aren-t-they-using-them-90942">devex article on contraception in Uttar Pradesh women</ext-link>). Ayikwa and Jager advocate for social marketing as the &#x201c;ultimate weapon&#x201d; in combating HIV/AIDS transmission and overcoming related stigmas
                    <sup>
                        <xref ref-type="bibr" rid="ref-35">35</xref>
                    </sup>.</p>
                <p>All these papers corroborate Rao and McCoy, who state that &#x201c;behaviour change isn&#x2019;t just about crafting the perfect message; creating better programs requires really listening to and understanding the patient experience&#x201d; [
                    <ext-link ext-link-type="uri" xlink:href="https://ssir.org/articles/entry/fostering_behavior_change_for_better_health#bio-footer">https://ssir.org/articles/entry/fostering_behavior_change_for_better_health#bio-footer</ext-link>]. They stress that &#x201c;borrowing tools from the private sector&#x2026;to understand, track, and influence customers can greatly enhance global health programs that require changes in attitudes or behaviour.&#x201d;</p>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion / Recommendations</title>
            <p>The literature collectively drive toward the idea that what the public health sphere needs is a new mindset. Instead of viewing its target audience as patients with diagnoses, the audience should be seen as multidimensional consumers with preferences and needs. Current public health segmentation has been almost solely demographic; though valuable at a basic level, this is rudimentary
                <sup>
                    <xref ref-type="bibr" rid="ref-36">36</xref>
                </sup>. Research marketing pioneer Daniel Yankelovich states in the Harvard Business Review that demographic segmentation &#x201c;implies that differences in reasons for buying, in brand choice influences, in frequency of use, or in susceptibility will be reflected in differences in age, sex, income, and geographical location. But this is usually not true&#x201d; (see 
                <ext-link ext-link-type="uri" xlink:href="https://hbr.org/1964/03/new-criteria-for-market-segmentation">Harvard Business Review article on market segmentation</ext-link>). Basically, age segmenting can only be useful as a very general indication of patterns of behaviour, as not everyone in the same age band will behave the same way or respond the same way to experiences. Even &#x201c;geodemographic classifications such as ACORN (a classification of regional neighborhoods), while useful for indicating likely very general patterns of spending power, do not reveal the absurd assumption that everyone&#x2026;drives the same car, reads the same newspapers, eats the same food and so on&#x201d; (see 
                <ext-link ext-link-type="uri" xlink:href="http://www.marketingjournal.org/market-segmentation-still-the-bedrock-of-commercial-success-malcolm-mcdonald/">The Marketing Journal article on market segmentation</ext-link>). Demographic and age segmentation are some of the easiest to develop, but they provide limited guidance. In order to successfully effect change, implementers need to connect deeply with their audience by looking past its superficial characteristics to the attitudinal, behavioural, and contextual factors that guide its members&#x2019; decision-making. This does not mean that public health solutions should be fragmented, but rather that precise messaging &#x2013; still framed in the broader context of health goals &#x2013; can be developed for and directed to audiences with whom it is most likely to resonate strongly
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusions</title>
            <p>At this stage, it is not yet possible to definitively conclude that market segmentation leads to measurably better HIV prevention results, but it 
                <italic toggle="yes">can</italic> be asserted that market segmentation leads to 
                <italic toggle="yes">interventions</italic> with measurably better HIV prevention results. The literature present ample evidence for the value of market segmentation as a component of demand creation for HIV prevention interventions, including VMMC and, more recently, oral PrEP. While traditional applications of market segmentation in healthcare, such as age and geography, remain useful as components of more nuanced population stratifications, behavioural-psychographic segmentation presents the greatest potential for efficacy in uptake of HIV prevention measures, both broadly and in the case of VMMC specifically. In a later article, also for the Harvard Business Review, Yankelovich and Meer write that &#x201c;non-demographic segmentation began more than 40 years ago as a way to focus on the differences amongst customers that matter most strategically&#x201d;
                <sup>
                    <xref ref-type="bibr" rid="ref-37">37</xref>
                </sup>. Ultimately, what the public health sphere needs is a shift: from considering possible users of its products as a single group with the same desires and behaviours based on age or location to seeing them as multidimensional consumers with individual preferences and needs.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <p>

                <italic toggle="yes">All data underlying the results are available as part of the article and no additional source data are required</italic>
</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>Thanks are extended to Jeanne Baron, Mitchell Warren, and Emily Bass from AVAC for their assistance with manuscript preparation and helpful comments throughout the process.</p>
        </ack>
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                    <article-title>Segmentation and customer insight in contemporary services marketing practice: why grouping customers is no longer enough.</article-title>
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                            <surname>Meer</surname>
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                    <article-title>Rediscovering Market Segmentation.</article-title>
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                    <year>2006</year>:<fpage>1</fpage>&#x2013;<lpage>10</lpage>.
                    <ext-link ext-link-type="uri" xlink:href="http://www.viewpointlearning.com/wp-content/uploads/2011/04/segmentation_0206.pdf">Reference Source</ext-link>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report26814">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.13982.r26814</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Reed</surname>
                        <given-names>Jason B.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r26814a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Dotson</surname>
                        <given-names>Manya</given-names>
                    </name>
                    <xref ref-type="aff" rid="r26814a1">1</xref>
                    <role>Co-referee</role>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>Sgaier</surname>
                        <given-names>Sema</given-names>
                    </name>
                    <xref ref-type="aff" rid="r26814a2">2</xref>
                    <xref ref-type="aff" rid="r26814a3">3</xref>
                    <xref ref-type="aff" rid="r26814a4">4</xref>
                    <role>Co-referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-8311-2686</uri>
                </contrib>
                <aff id="r26814a1">
                    <label>1</label>Jhpiego, Baltimore, MD, USA</aff>
                <aff id="r26814a2">
                    <label>2</label>Harvard T.H. Chan School of Public Health, Boston, MA, USA</aff>
                <aff id="r26814a3">
                    <label>3</label>Surgo Foundation, Washington, D.C., USA</aff>
                <aff id="r26814a4">
                    <label>4</label>University of Washington, Seattle, WA, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>19</day>
                <month>3</month>
                <year>2019</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2019 Reed JB et al.</copyright-statement>
                <copyright-year>2019</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport26814" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.12888.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The referee team&#x00a0;finds the article to be an important contribution to the field because it reinforces the potential value of an underappreciated approach to global development/non-profit public health programming, specifically related to program uptake. A case is made that the private sector is better at market segmentation.&#x00a0;Development/public health donors often prescribe demographic and behavioral sub-populations&#x2014;sex, age, geographic area, wealth quintile&#x2014;for program services based upon epidemiology and return on investment expectations. Implementers may simply resort to the same or similar sub-populations for structuring demand creation campaigns. Going beyond these conventional public health categories to include psychographic and behavioral segments may represent an important opportunity for greater cost-effectiveness in program execution, by more efficiently influencing uptake.&#x00a0;However, the authors stop short of describing how the private sector (more) successfully determines psycho-behavioral market segments and acts upon them in selection of messages and channels. This may be because little is published on methodologies from the private sector, which has little incentive to share proprietary approaches. This may well be beyond the scope of this paper, but some discussion of bases of segmentation could be helpful to the reader to understand the concept. As it is, the reader is left with the vague feeling that &#x201c;everyone is different&#x201d; and therefore all messaging must be micro-tailored, which would be even less efficient/cost-effective than existing approaches.</p>
            <p> </p>
            <p> The article could be improved by defining terminology upfront, e.g., demographic, geographic, behavioral vs. psychographic market segmentation. A strong definition of segmentation, including the four qualities of viable segments, is provided here for further consideration:</p>
            <p> &#x201c;Heterogeneous markets are divided into homogenous markets by identifying what are known as the appropriate bases of segmentation. An appropriate segmentation base might be age in a</p>
            <p> market where young people prefer a different product or service than old people. Sex, socioeconomic status, and residence are common segmentation bases due to assumptions about differing preferences between males and females, the rich and the poor, and the urban and rural. Many other segmentation bases exist, including psycho-graphics and lifestyle. In marketing, the appropriateness of one or more segmentation bases is evaluated in terms of whether each basis is identifiable (able to be measured), actionable (theoretically able to be changed through an intervention), accessible (defines populations able to be reached), responsive (empirically are changed by an intervention), substantial (large in size), and stable (do not change for a period long enough to design, monitor and evaluate an intervention)&#x201d;&#x00a0;Frank 
                <italic>et al.</italic> (1972
                <sup>
                    <xref ref-type="bibr" rid="rep-ref-26814-1">1</xref>
                </sup>).</p>
            <p> </p>
            <p> The details of parameters for the literature review are clear.&#x00a0;The number of professional disciplines of subject matter experts reviewing and summarizing the findings is less clear, though presumably comprised of some or all of the authorship team.&#x00a0;Given the disconnect between private and public sector approaches to segmentation, it would be valuable to know whether interpretations of relevance and importance (to impact and as specifically relates to voluntary medical male circumcision) varied by background of the experts.</p>
            <p> </p>
            <p> The main conclusions appear to be framed in relation to public health intervention uptake (or adherence).&#x00a0;However, the other a priori interests stemming from market segmentation that may be of equal (or arguably even greater) importance may take precedence, e.g., using segmentation to identify services/products more aligned with potential users preferences, demand forecasting, and preference of where to access products and services (public vs. private sector, formal vs. informal outlets). If market segmentation were more thoughtfully used earlier in processes, segmentation might not be so frequently the approach of last resort. In turn, judging segmentation impact might be broader than solely focused on improvements in uptake.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Biomedical HIV prevention, HIV surveillance, Market Research and Segmentation</p>
            <p>We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-26814-1">
                    <label>1</label>
                    <mixed-citation>
                        <person-group person-group-type="author"/>:
                        <article-title>Market Segmentation</article-title>.
                        <source>
                            <italic>Prentice-Hall</italic>
                        </source>.<year>1972</year>;</mixed-citation>
                </ref>
            </ref-list>
        </back>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report26900">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.13982.r26900</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Kretschmer</surname>
                        <given-names>Steve</given-names>
                    </name>
                    <xref ref-type="aff" rid="r26900a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4839-2213</uri>
                </contrib>
                <aff id="r26900a1">
                    <label>1</label>DesireLine LLC, Istanbul, Turkey</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>29</day>
                <month>1</month>
                <year>2019</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2019 Kretschmer S</copyright-statement>
                <copyright-year>2019</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport26900" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.12888.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <list list-type="order">
                    <list-item>
                        <p>The work cites the current literature adequately. Further clarification on the following points, as detailed in the comments I have provided in the paper itself, will strengthen the clarity and accuracy of the paper.&#x00a0;An annotated version of the article can be downloaded 
                            <ext-link ext-link-type="uri" xlink:href="https://s3-eu-west-1.amazonaws.com/gatesopenresearch/linked/182133.Impact_of_Seg_%26_Social_Mktg-Anabel_Gomez.docx">here</ext-link>.</p>
                        <p> </p>
                        <p> -&#x00a0;Clarify the forms of market segmentation throughout the paper to be specific about which forms of segmentation are being discussed in each point made on its use</p>
                        <p> -&#x00a0;Clarify segmentation as a means to dividing the market and identifying the differences to then target differential interventions/services/products vs. as a method itself to understand and intervene.</p>
                    </list-item>
                    <list-item>
                        <p>The study design is appropriate and the work is technically sound</p>
                    </list-item>
                    <list-item>
                        <p>Some additional details of methods and analysis need clarification to allow replication by others</p>
                    </list-item>
                    <list-item>
                        <p>Statistical analyses not applicable</p>
                    </list-item>
                    <list-item>
                        <p>All source data are available</p>
                    </list-item>
                    <list-item>
                        <p>The conclusions drawn are adequately supported by the results</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>NA</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report26815">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.13982.r26815</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Skorochod</surname>
                        <given-names>Beth</given-names>
                    </name>
                    <xref ref-type="aff" rid="r26815a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-8901-8164</uri>
                </contrib>
                <aff id="r26815a1">
                    <label>1</label>CollaborateUp, Washington, DC, USA</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>4</day>
                <month>1</month>
                <year>2019</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2019 Skorochod B</copyright-statement>
                <copyright-year>2019</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport26815" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.12888.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The title includes both segmentation and social marketing but social marketing is not defined in the article and is not discussed at any length. I would remove social marketing from the title, or have it play a bigger role in the article (and define it upfront or in a table as has been done with segmentation).</p>
            <p> </p>
            <p> While the authors state that segmentation was not measured extensively, there are too few examples for any reader to try to replicate any work done with segmentation. The work of VMMC, which is used as the main case study for the piece, includes insufficient detail for replication and does not include specific data for Zimbabwe or Zambia. How did behavioral segmentation impact uptake of VMMC in these two countries? What were the challenges of executing against the segmentation results. What was the impact of activities across each of the 7 segments in Zambia? Can additional data on impact and/or details on execution be included for these two countries? Even the VMMC studies mentioned don't seem to point specifically to the examples in Zambia and Zimbabwe.</p>
            <p> </p>
            <p> The definitions of quality market segmentation in this paper are too vague, making the prospect of applying it to a program very difficult. Table 1 provides characteristics of useful market segments but additional detail or examples are needed. Table 1 states that segments should be substantial enough to be profitable or to meet the financial needs of a company. While this works for the commercial sector, it is unhelpful for development work which is typically not about profitability or even cost effectiveness. Can authors include examples of a 'substantial' size that would be applicable and relevant to HIV prevention?&#x00a0;In addition, "sustainable" is also used to describe a useful market segment, stating that the segment should be stable enough for a long-enough period of time to be marketed strategically and warns off using something like "lifestyle' which too easily fluctuates. But what is a long-enough period of time to be marketed strategically? Do attitudes and behaviors shift less frequently than 'lifestyle? If not using age or demographics, what type of attributes should be used that will not fluctuate easily and how long do those attributes need to be stable? Better defining or providing concrete examples from public health segmentation (or the commercial sector) will strengthen the piece and make it more relevant to implementers.</p>
            <p> </p>
            <p> The article seems at times to conflate demand generation and demand creation with segmentation. In paragraph 5 of the Results section concludes that segmentation is often overlooked or unsystematic, using&#x00a0;the Sgaier article's criticism of&#x00a0;poor demand creation approaches as evidence, but these seem two different things. Demand creation does not necessarily include behavioral segmentation. While it may include demographic segmentation, that is not the focus of the piece. TheTerris-Prestholt and Windmeijer article on behavior change interventions is also cited as a reason why segmentation would be hard to evaluate and measure, but the conclusion seems forced unless segmentation is part of the reason behavior change interventions take a longer time to take hold.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Not applicable</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Social and behavior change, human centered design, HIV prevention, VMMC</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
    </sub-article>
</article>
