02843nam a22002537a 450000100060000000300060000600500170001200800410002904000100007008200200008010000280010024502300012826000510035850200270040952019510043665000160238765000390240365000170244265000220245970000310248170000200251270000240253270000330255616792OCLRC20260731013045.0260311t        xxu||||| |||| 00| 0 eng d  aOCLRC  aT 658 2023 0151  aBejasa, Janna Zarina S.  aThe influence of food review on consumer buying behavior:bbasis for developing content marketing guidelines./cJanna Zarina S. Bejasa, Paul Raymund A. Dela Cruz, Mary May Ecleo, Rosemary Ann Rada, & John Henrick O. Tambalque  aParañaque City:bOlivarez College,c2023.  aUndergraduate thesis.   a In this generation, there are plenty of ways to promote something. One of them is a {93}food review,{94} in which a person or even a chef criticizes the food of a restaurant or even a simple food establishment. In this way, food reviews might help to gain a new potential customer since every good review can be found on every platform that you can use. Research before a purchase talks about the purchase intentions of a consumer based on what they have seen online, through social media, and on other platforms as well. Social media, on the other hand, has recently grown in popularity due to users{92}  intentions and behaviors online. Social network will change how things are done. The proponents decided to find participants on Facebook, YouTube, and Tiktok. Whereas the participants are those whose interest was piqued by Chui Show Food Reviews's food review posts. The data collection requires 50 participants. The proponents decided to use a two-way ANOVA test to determine the significant difference for this research paper. The two-way ANOVA examines the mean differences between groups that have been divided based on two independent variables. In general, the influence and factors on the results if they have significant differences on a chosen demographic profile which are age, gender, and hours spent on social media. The age, the influence and factors show that there is no significant difference in the age itself. As well as the gender and hours spent on social media, it has no significant difference in the influence and factors of food review. The analysis revealed that their is no significant difference between the influence and factors of a food review when grouped according to the selected profile variable. As a result,  it was effectively influenced by food reviews, implying that food reviews are insights from customers{92} perspectives that frequently represent their experiences and Benefit in decision-making.  afood review  acontent marketingcontent marketing  asocial media  aconsumer behavior  aDela Cruz, Paul Raymund A.  aEcleo, Mary May  aRada, Rosemary Ann   aTambalque, John Henrick O.