This research aims to study a model of marketing strategic towards generationmillennials customers’ buying decision using food delivery application and to present model of marketing strategic towards generationmillennials customers’ buying decision using food delivery application. The mixed methods approaches of quantitative and qualitative research methods were used. In qualitative research method using in-depth interviews with 11 respondents and quantitative research in which questionnaire was used as an instrument to collect data from 400 populations of generation millennials customer living in Bangkok who order foods through food delivery application. Statistics for data analysis included frequency percentage average standard deviation exploratory factor analysis (EFA) The results indicated that most of the respondents were women with a bachelorsdegree who had a career as private company employees and an average monthly income of 18000 – 25000 bahts use Grab application the most use less than once week there are a total of 2 orders per order choose order the most street food average 100 - 350 Baht cost per time order food in the evening (17.01-22.00 p.m.) order food to eat at accommodation most order food to eat with friends reason for ordering a delivery is that it is comfortable from out going by self choose to pay by cash and consumers think that all of the factors are important in deciding to order food from restaurants through the Delivery Application application at high level. Results analysis of factors affecting generation millennials customers’ decision making to order from food delivery application be classified into eight factor as 1) easy to user experience strategy 2) goods value and price strategy 3) physical evidence and presentation strategy 4) strategies for brand awareness 5) accuracy and complete strategy 6) restaurants management system strategy 7) sales promotion strategy 8) new product development strategy.

The purposes of this research were : 1) to The decision to buy food from the delivery business of Phranakhon Rajabhat University students 2) to study the marketing mix factors used to decide on the purchase of food from the delivery business of Phranakhon Rajabhat University students Phuket Province 3) to ddetermine the relationship between demographic characteristics and food purchasing decision behavior of the students of Phranakhon Rajabhat University and 4) to Determining the relationship between marketing mix and decision-making behavior of food business students in Phra Nakhon Rajabhat University. Samples were students who are studying at the first year of undergraduate level of Phranakhon Rajabhat University students and have bought 400 types of delivery. The instruments used is the statistical questionnaire used in data analysis include frequency value percentage value mean value standard deviation value and Pearson Chi-square. Statistical analysis using computer program. The results showed that: 1) most of the students decided to buy food from KFC. The average cost per session is about 301-400 Baht which will be bought after 7:00 pm on Saturdays and Sundays. To eat with friends the person who influenced the decision to order food is the student who knows about the promotion of food delivery from the Internet. And why decide to buy food delivery. Because the promotion. Or have a promotion 2) the students opinions on the marketing mix used in the decision to buy food from the overall delivery business. Very high when considering each item in descending order the most significant aspect was the distribution channel followed by the product price. And the least is marketing 3) the relationship between demographic characteristics is the gender of the students. And accommodation the decision to buy food from the delivery business of Phranakhon Rajabhat University students was found to be related and 4) the relationship between marketing mix factors: product price distribution channel and promotion. Relationships with decision-making behavior of food business students in Phra Nakhon Rajabhat University statistically significant at the .05 level.