The purpose of this study is to identify whether or not humor has an effect on consumer brand attitude and engagement when utilized by companies in their Twitter marketing strategy. To study this topic, this survey includes examples of humorous branded Twitter content. Survey is the chosen methodology for this study due to its large reach, and its ability to obtain real insight from a target audience into their decision making habits.
Some other strengths of this methodology, according to a study conducted by Warren, Carter, and McGraw (2019), are the the convenience of data collection, large sample size capability, and a higher rate of candid responses- all of which were taken into consideration when choosing survey as the method for this study. While using a survey to conduct a study has many positives, it is not always the right tool to use for research. In fact, it is truly dependent upon the study. In this study, the research questions focus on three key factors: consumer behavior, emotional reactions, and brand attitude. In studying the potential behaviors of consumers, one of the most important factors was finding a large enough sample that the survey responses could be generalized. With each of the variables being so consumer-dependent, other methodologies were promptly ruled out and survey became the method of choice.
The most important part of creating a survey is ensuring that it is capable of answering the research questions it was designed to study. As previously mentioned, the research questions for this study all relate directly to the opinions and behaviors of consumers. While another method, such as content analysis or interview, may have been able to look objectively at how consumers will behave after exposure to humorous branded content on Twitter or their thoughts and emotions after viewing independently, no other method has the ability to measure both, and in a way that can be quantified into clear data sets and generalized to the greater population. Throughout the survey, there are real examples of branded Twitter content that utilize the four most popular types of humor- surprise, comparison, personification, and sarcasm, as well as representing the two different humor presentation formats- meme and non-meme. Each example comes with the same set of questions designed to measure potential behavior of consumers, emotional reactions, and brand attitudes.
As important to the study as the creation of the survey is the distribution and collection methods. The first step in this process is deciding what media samples were to be included in the survey. For this study, the media samples that are embedded in the survey were taken from consumer product and fast-food/fast-casual restaurant brand Twitter accounts. They were chosen to fit into the four most-popular categories of humor- surprise, comparison, personification and sarcasm. Each of the four types of humor has two selected media examples- one that is presented in a meme format and one that is presented in a non-meme format. The two matching examples were taken from similar brands when possible to stay consistent and lower the risk of varying brands impacting responses. In this survey, the media samples are as follows:
Comparison
o Meme: Oreo
o Non-meme: Chips Ahoy
Personification
o Meme: Wendy’s
o Non-meme: Denny’s
Surprise
o Meme: Chipotle
o Non-meme: Sunny D
Sarcasm
o Meme: Hostess
o Non-meme: MoonPie
After finding media examples to fit into the survey design, the next step is to procure respondents. In this study, respondents were found using a social media snowball effect. The link to the survey, along with a brief description of what it entailed, was shared to a primary Facebook and LinkedIn account, and then from that post, was shared by other secondary accounts to their personal pages and networks. This snowball sampling method was effective in collecting a large amount of responses, though demographically many of the respondents were similar in nature.
For this study, the only target demographic was Twitter users. So while it was open to a myriad of persons, the response pool was mainly in the 18-24 age range, and a majority female. Of the 92 responses, 83 were in the 18-24 age range, and 73 were female. The age range is consistent with the largest Twitter user demographic which, according to Statista, is 18-29 and accounts for 38% of Twitter users, as opposed to 26% of users covered by ages 30-49. So while the respondent demographic pool is rather similar, it does align with the average Twitter user and thus becomes less of a validity concern for this study.
In this study, there are several variables that are being tested. Firstly, the independent variables being looked at in this study are the type of humor- personification, sarcasm, surprise, and comparison, and the format of the humor- meme and non-meme. The survey includes two examples for each type of humor, one for each of the two formats. With these independent variables being studied, the dependent variables include Digital Behavior, Emotional Reactions, and Brand Attitude. For Digital Behavior, the response options include favoriting the tweet, retweeting the tweet, commenting on the tweet, following the brand, sharing the tweet, and engaging with the brand in any of these behaviors moving forward. To understand Emotional Reactions, the respondent, when asked how the example tweet makes them feel, is given the options of happy, neutral, unhappy, or other. And lastly, in looking at Brand Attitude, participants are asked if after this viewing this tweet, they like the brand more, dislike the brand more, or had no change in opinion. These response options are consistent across all of the eight example tweets, and serve to examine the proposed variables of the study.