广告效果对 Wardah Medan Instagram 社交媒体化妆品广告消费者购买决策的影响

Sylvani Dewi, Felicia Winata, Elly Romy, Kiki Goslim, Wenny Wenny
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引用次数: 0

摘要

本研究旨在确定通过 Instagram 社交媒体在 Instagram 上活跃的 @wardahbeauty 追随者身上投放 wardah 广告的效果。使用 Instagram 社交媒体 @wardah beauty 的消费者非常活跃,共有 92 名粉丝。本研究采用的数据分析技术是使用 SPP 20.0 版进行效度测试和信度测试。根据研究结果,宣布问卷中各陈述项的效度和信度测试有效,得到的结果是自变量即广告效果(X)对因变量即购买决策(Y)有积极而显著的影响,具体表现为 tcount 值 = 5.603,ttable = 2.01537,则 tcount > ttable,因此拒绝 Ho,接受 Ha。根据简单线性回归计算,回归方程 Y = 25.982 + 0.531X + e 表示购买决策变量每增加 0.531,就会影响广告效果。决定系数(R2)为 0.416(41.6%)。因此可以说,41.6% 的因变量(即本研究中的广告效果)可以解释购买决策,而其余 58.4% 的因变量则受到所研究变量之外的其他变量的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of Advertising Effectiveness on Consumer Purchase Decisions in Wardah Medan Instagram social media Cosmetic Advertising
This study aims to identify the effectiveness of wardah advertisements through Instagram social media on active @wardahbeauty followers on Instagram. Consumers who use social media Instagram @wardah beauty are active with a total of 92 followers. The data analysis technique used in this study is a validity test, reliability using SPP version 20.0 Based on the results of the study, the validity and reliability test of the questionnaire for each statement item was declared valid and the results obtained were that the independent variable, namely advertising effectiveness (X) had a positive and significant influence on the dependent variable, namely purchase decision (Y), this is indicated by the tcount value = 5.603 and ttable = 2.01537 then tcount > ttable, so Ho is rejected and Ha is accepted. Based on simple linear regression calculations, the regression equation Y = 25.982 + 0.531X + e means that every time there is an increase in the purchasing decision variable by 0.531, it will affect the effectiveness of advertising. The coefficient of determination (R2) is 0.416 (41.6%). So it can be said that 41.6% of the dependent variable, namely advertising effectiveness in this study, can explain purchasing decisions while the remaining 58.4% is influenced by other variables outside the variables studied.
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