4.1 DATA ANALYSIS & INTERPETITION For Dealer’s Q. 1 Which type of shop you selected to sell Pepsi products? Shops No. of Dealer’s % of Respondents Convenience Shop 4 33% Eatery Shop 5 42% Grocery Shop 3 25% Total 12 100% Graphical Representation Interpretation Out of 12 Dealer’s It is found that the companies dealer’s prefer to sell 42% to Eatery shop, And 33% to convenience, 25% to Grocery Shop .This might due to the maximum number of Companies dealer’s want to sell Pepsi products to Every shop. Q.
The manager would whether the competitor produced a new product or is working on a new project, and how is the project doing. Quantitative Forecasting: Find a new way to expand the market, which it can be done through numerous ways. It can be expand through renovating, producing a new product or buying out competition, etc. Budgeting: The regional manager would set a budget to determine what is needed to expand. Once that’s been done, the profit budget can be used to calculate the break-even analysis to determine or set a sales goals.
Bargaining power of suppliers As “instant noodles” is a FMCG product, nearly 80-90% of instant noodles are sold through traditional sellers i.e. local retailers, mom and pop stores. Thus it is imperative that large investment has to be made in distribution channels to establish strong retails reach and promote penetration. Hence Suppliers/distributors relationship becomes very important factor. Because of availability of many other choices which are almost as popular as Maggi itself, the distributor can easily replace the shelves with a competitor’s products.
So to measure this attribute fifty consumers took the acceptance test to verify if the black instant coffee beverage, to which the mixture of volatile compounds had been added, would make the beverage more acceptable considering the coffee aroma and flavour attributes. From the analysis of variance performed with the results from each taster (source of variation: sample and taster) (pF value) for the coffee aroma and flavour , it was possible to observe that there was a significant difference at a level of p ≤ 0.05 between the least two samples. So the hypothesis is used. Table no.1: Analysis of variance of coffee aroma
The survey will be applied to 100 randomly selected people from each of the municipalities studied and interview with the marketing manager of the franchise TACO BELL to learn marketing strategies implemented by the franchise internationally. The survey will be structured by 9 questions of closed type and multiple selections were used language easily understandable to the population under study to facilitate obtaining clear answers. This survey arrogates profile data about consumers as well as their tastes and preferences. In addition, an interview with the marketing manager of the franchise TACO BELL is held internationally structure with open and very specific questions which will produce qualitative data about the strategies applied by this franchise in the other countries where it has developed. Tell the Bell $500 Survey
Works Cited “The Impact of Food Advertising on Childhood Obesity.” American Psychological Association, American Psychological Association, www.apa.org/topics/kids-media/food.aspx. Accessed 28 February 2018. “McDonald 's Nutrition Calculator” McDonald 's: Burgers, Fries & More. Quality Ingredients., www.mcdonalds.com/us/en-us/about-our-food/nutrition-calculator.html. Accessed 1 March 2018.
According to TrackMaven, market segmentation is the process of dividing the market of potential customers into groups, or segments, based on different features. The created segment consists of consumers who will respond to the same marketing strategy and who share the nature of the same interests, needs, or locations. McDonald uses demographic segmentation as their main types of market segmentation. According to Sakshi Natani (2016), McDonald in Malaysia used mainly demographic segmentation, which divided in age, income, family-life cycle and social class. The age factor used by the target market of McDonalds is a family with dual income that does not have the time to prepare their food for their children, the workers who are having lunch and teens.
The next section collects data about how customers view Heinz’s promotional strategies such as advertising in the digital or print media. This concept was developed after the study of the attributes of a product which perceived as quality. The next part collects detail information on the fact that which brand is mostly preferred by the consumers. Then the respondents are asked about Heinz’s marketing campaigns and that provided more information about consumer’s perceptions about Heinz’s marketing strategy. The next part asks the respondents why they would buy Heinz products in future, whether that will depend on the price range or the product variety.
2.1. Management Objective: The project dealt with ‘Identifying and tapping the Modern Trade channel opportunities in Hyderabad’ for Hugo Reitzel, India. 2.2. Research Objective: The study focusses on the following objectives: • To identify the target segments for the products being offered by Reitzel and listing down the various retail stores that should be targeted to build the brand • To understand the important considerations for a purchase manager of a retail store while stocking an SKU • To identify the triggers and barriers in the purchase decision process adopted by the end users while purchase of any European cuisine condiments • To analyze the consumer preferences, consumption habits, brand awareness and an individual’s exposure to
Thakkar and Thatte (2014) made the research entitled to “Consumer perceptions of food franchise: A study of McDonald’s and KFC”, that the taste and good ingredients were most important factors. While the other factors facility layout, price, service quality – speed and cleanliness were least important for customers. The data were collected from 150 respondent using structured questionnaires from which only 137 respondents’ data considered valid. The hypothesis was framed on the basis of 12 different variables and they were variety of products, Speed of service, Accuracy in service, Price, Taste of products, Ingredients, Packaging, Attitude of Staff, Location, Additional Information, Customer Service and Opening Hours. The data was analyzed