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mr7392630
12 de abr. de 2022
In Discussões Gerais
Recently, Sina Technology launched a "Do you feel ugly when you pay with your face?" ” questionnaire survey, 59.6% of users think that they will feel ugly when they pay by face, and they are not as good-looking as they usually take pictures. After being dissed collectively by netizens to pay for face brushing, Alipay publicly stated on July 2 that the face brushing system in stores nationwide will launch the beauty function within a week, and the face brushing will be more beautiful than the beauty camera. After the face-swiping beauty function was launched, according to the latest data provided by Alipay, the number of users who used face-swiping to pay showed a sharp increase year-on-year, of which women increased by 123% and men increased by 106%. Behind this surge, is it purely accidental or a long-planned plan? We analyze the principle behind it through the FBM model. The telemarketing list FBM model is a new model for understanding human behavior proposed by Fogg, a professor of behavioral science at Stanford University, referred to as FBM. In this model, the professor believes that a person's behavior is the product of three inseparable factors: Motivation , Ability, and Triggers . B(behaviour)=M(motives)*A(activity)*T(triggers) behavior = motivation * ability * incentive According to this model, we can think about: 1. After Meiyan went online, why did users take actions as we expected, resulting in the growth of face payment? --motivation. Is this operation difficult for the user? Are the operating costs high? --ability 3. Does the product mechanism have a strong drive, sense of participation and desire? - Incentives 1. Face brushing after beautification helps users relieve environmental anxiety and reduce resistance to action We all know that mobile payment is more convenient and traceable than cash payment, but in the field of mobile payment, scanning code payment has always occupied a leading position. As early as 2013, the concept of face-scanning payment was launched. By 2018, it entered the public life. The volume and usage rate of the face-scanning payment market did not achieve the expected results.
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