Category: customer

  • Campaign Pre-Test

    Campaign Pre-Test

    Campaign Pre-Test – A new approach

    One of the types of qualitative research that Checon has carried out the most in these 25 years of experience in the market are the pre-tests of advertising campaigns, whether for films, concepts or even graphic pieces.

    Apparently the analyzes and results presented by Checon must be on the right track, given the volume and the return of a large part of the agencies and advertisers to other different jobs over time

    Like most other players, we have also normally used the technique of focus groups and, as a rule, with segmentations by age groups, socioeconomic classes and most of the time by geographic regions

    Thus, for smaller evaluations, we have carried out an average of around 9 groups and, in a large part of national campaigns, of larger size, there is often a demand for more than 20 focus groups

    The use of verbatim with edited audios, with the statements and positions of the participants, was an innovation developed by Checon that added a lot of information and more understanding to the comments and suggestions that we present as recommendations

    In addition to a high capacity for convincing, the audios invariably made the testimonies real, more credible, added feeling and humor to the situations, considerably enriching the presentations.

    So much so that, countless times, the interest of agencies and advertisers was concentrated almost entirely on the audios themselves, given the strength of the messages and information transmitted directly from the target audience

    But in several situations in these pre-tests, it was not always possible to have an absolutely clear and undoubted answer to some questions of a subjective or emotional nature of the campaign concepts.

    The dominant impression was that there was still a lack of a more adequate and reliable metric to support these questions, since the focus groups, by themselves, were not always sufficient to clarify all doubts, both from advertisers and the agencies themselves.

    Among the cases of responses that were not always satisfactory were the impact of the campaign in which the commercial was watching, or the extent to which certain positions were effectively perceived as ‘security’, ‘trust’, or even what message was actually apprehended

    In an exploratory way, we have already tried to complement the focus group assessments with individual footage of the participants to assess reactions based on changes in facial expressions, but without much success, as the variations are barely noticeable

    Or even with the attempt to use other biometric measurement techniques such as GSR (skin current conductance), used abroad to predict the box office of films and plays, but still with results that are less than expected and unclear to laypeople.

    In international congresses, both from ESOMAR and NMSBA, we have been constantly looking for new options that can, in a transparent and mainly clear way for agencies and advertisers, add other supporting elements to such questions.

    This insistence by Checon Pesquisa to innovate, as well as to diversify the technique, for a better understanding of people’s reactions to advertising campaigns, led us to implicit test.

    Implicit association tests were originally developed as an instrument to explore the unconscious roots of human thought and emotions, as people often have difficulty expressing their own emotions or even know for sure what is going on in their heads.

    Such problems are even more aggravated the lower the education, or when people are shy, and also with a certain frequency the politically correct appears, with the risk of compromising the evaluation

    The reasons for using implicit association tests in pre-test evaluations are justified by the ability to measure responses, ideas and beliefs at a subconscious level, regardless of an not always ‘desired’ rationalization

    The results of the implicit association tests, moreover, are easily interpreted, regardless of any knowledge about psychology, and yet flexible to deepen the specific aspects of each advertising campaign itself

    According to the Checon methodology, the tests must take place after the focus groups are carried out, which will serve as a reference for the development of the protocol of what will be tested, when determining the aspects not yet properly clarified

    Checon suggests that the implicit association tests be carried out with the same participant profiles, with a control group with people who have not seen the campaign and another with guests soon after seeing the material (film, spot or graphic pieces)

    Thus, it is possible to establish a very clear comparison criterion for assessing the impact of aspects that have not been sufficiently clarified with the focus groups.

    In general, each implicit association test has a duration of 3 to 5 minutes and allows an assessment of up to 5 distinct attributes, which is usually more than enough for the demands that we have met

    Checon suggests performing a minimum of 30 tests, 15 of which are usually with the control group and another 15 with participants watching the same material presented and tested in the focus groups.

    This number can be changed in particular situations where there is a need for more specific assessments (such as results by class or age group), or when comparisons with competitors are also necessary.

    As advantages, it is worth highlighting the need for a much smaller number of groups, avoiding the repetition that normally occurs from the 10th focus group, directing efforts in the measurement of very specific aspects

    Another positive point is the use of a tool capable of evaluating beyond the conscious and the rational, with metrics that, although without the intention of quantitative research, complement the results of the focus groups.

    Therefore, there is a saving in both processing and analysis time, as well as in investment, since the results of the implicit association tests are immediate.

  • Perspectives for the use of facial expressions

    Perspectives for the use of facial expressions

    Facial Expressions

    The human face (facial expressions) consists of a vast panorama in constant movement of what is happening in our most intimate state of mind, with a considerable diversity of nuances and great complexity.

    Humanity has always been developing, in a natural way, the ability to understand the facial expressions of others, initially as a survival strategy (friend / enemy), and currently aiming at relationships of all kinds.

    Based only on sensitivity and intuition, we all spend a considerable amount of time interpreting, analyzing and reacting to the perceptible signs of facial expressions of bosses, spouses, teachers, partners, co-workers, strangers, relatives. , etc.

    With the technology and the capacity of data processing increasing, the face of each one of us and the information that is transmitted spontaneously for some time has ceased to be just the way we present, relate or behave in public.

    Far from merely signaling our momentary state of mind or our reaction to situations, people or facts, this whole set of data has been increasingly treated as something strategic and object of intense studies.

    The use of facial expression analysis continues to grow, whether with Apple using it to unlock the i-phone, in churches in the United States trying to attract believers, in England identifying those responsible for shoplifting, with the police in Wales arresting suspects at football games in China identifying undisciplined drivers, allowing tourists access to certain attractions, among others.

    In the medical field, some applications are very promising, such as the early diagnosis of genetic diseases such as Hajdu-Cheney syndrome, in hopeful attempts to treat autism, in determining whether a person is depressed or whether the pain is real or psychological.

    All these new features have sparked heated discussions regarding the invasion (or not) of privacy, since, for example, the identification of sexual preferences reached 81% of correctness by the algorithm, while people (without the resource) 61% of the time they made that identification correct.

    There would therefore be a potential risk of discrimination on the part of companies, for example, in the recruitment of employees, so much so that legislators in some countries in Europe are already moving towards considering biometric data as information belonging to the people themselves and not something. in the public domain.

    But, going back to the types of applications that would interest us, the fact is that facial expressions, most of the time, communicate more and better than words, either because they are spontaneous, sincere, natural, because they reflect the real feeling or emotion , and above all because they are not rational.

    It is thus an important resource to be used in a complementary way to the other existing techniques in neuroscience and market research, in order to understand what people do not know, cannot or may not want to verbalize.

    Paul Ekman was the pioneer in the analysis of facial expressions with his research even in the 60s. Among his greatest contributions, there is evidence of the existence of at least 6 human emotions, which can be identified regardless of gender, age or even of culture.

    This study resulted in the decoding of these emotions in different combinations of 46 types of facial movements that allowed different applications from animations to lie detector.

    With the advancement of technology and the greater capacity for processing information, the uses of this knowledge have expanded considerably. Basically the algorithm consists of measuring the movements of a series of points virtually created on the participant’s face in relation to other fixed points.

    Thus, the position of the mouth, lips, cheeks, eyebrows, eyelids, wrinkles etc. they are constantly compared with other points (like the tip of the nose, the chin), with the pattern of the facial expression of each one and also with a reference table, allowing the identification of emotions such as joy, confusion, frustration, surprise, fear, anger, disgust, etc.

    In studies that Checon has already carried out, it is possible to assess how much a particular commercial is pleasing (or not), to what extent this involvement is positive (or not), in which excerpts from the commercial are necessary adjustments or reinforcements, all without even asking the participants , always in a clear, objective way, which can be understood even by those who are not even in the area of ​​neuro or research.

    The same types of conclusions are possible in the evaluation of people’s reactions to a political discourse, in order to understand if there is understanding or engagement, which are the passages that need more clarity, if there is approval, acceptance, always in a non-invasive way, without even not even interact directly with the participants.

    In works on website usability, the difficulties in performing certain tasks are evident with negative facial expressions, or with expressions of anger, doubt, dissatisfaction or frustration, even if not admitted in the participants’ ‘rational’ testimony.

    Another very interesting use of facial expressions is the analysis of consumers’ reactions to store windows, making it possible to identify the impact caused, the strengths and weaknesses of each option, even the attractiveness as an ‘invitation’ to people for the inside the establishment.

    Not to mention the food industry analyzing facial expressions in tasting tests or preferably between products in blind tests, or in banks evaluating reactions to ATMs, or automakers evaluating the behavior of drivers driving or identifying signs of drowsiness behind the wheel.

    Micro expressions offer a valuable contribution in the evaluation of decision making, being able to predict whether a certain purchase will be made (something that a flash of disgust can deny), or if a certain price is appropriate (something that an expression of joy can confirm and one of anger may disprove).

    Since, in most cases, these micro expressions are not even perceived by the participants themselves, because they are spontaneous reactions, they are more reliable predictors than the (often) politically correct answers (not infrequently) that compromise many of the predictions of sales.

    The choice of a candidate and the intention to vote also fit perfectly into this assessment of decision-making in a seemingly more reliable way than the mere rational statement by voters.

    There is impressive data as to the correctness of the voting intentions of American voters in the 2010 presidential election, based only on the facial expressions collected in the Obama & Romney debate that reached 73% confirmation, without asking any questions.

    More information:       The Economist – What machines can tell from your face

    The New Yorker – We know how you feel

    Paul Eckman – Facial Action Coding System