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Promotion mix and Market Research Week-10 Lecture Hour 10/15/2015Dr. Yuvaraj 1
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Marketing Communications Mix The marketing communications mix comprises: Advertising Sales promotion Public relations & publicity Personal selling Direct marketing 10/15/2015Dr. Yuvaraj 2
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Why? 10/15/2015Dr. Yuvaraj 3
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Includes: TV newspapers magazines & periodicals cinema radio billboards & posters Internet other media eg buses, taxis, petrol pumps Advertising 10/15/2015Dr. Yuvaraj 4
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Best use of the media 10/15/2015Dr. Yuvaraj 5
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TV large audience see product-in-use sound and vision relaxing environment cable, satellite and digital provide scope to segment expensive consumers may find commercials irritating PVRs can screen out Media Choice 10/15/2015Dr. Yuvaraj 6
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What fits in? 10/15/2015Dr. Yuvaraj 7
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10/15/2015Dr. Yuvaraj 8
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Find the taste! 10/15/2015Dr. Yuvaraj 9
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Jingle stays longer….! 10/15/2015Dr. Yuvaraj 10
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Guerilla Marketing 10/15/2015Dr. Yuvaraj 11
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Internet growth medium consumers actively seeking information can be interactive sound, pictures and words segmentation possibilities on-line shopping ‘pop-ups’ irritate Media Choice 10/15/2015Dr. Yuvaraj 12
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Media Selection Characteristics of target audience Media usage behaviour, exposure Budget Creative constraints Best presentation of the message eg visuals, colour Timing Seasonality of offering; cost of media at different times Reach and frequency How wide message needs to be spread, and how often Media Choice 10/15/2015Dr. Yuvaraj 13
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Sales Promotion Generally short term incentives to stimulate sales people to sell, customers to buy/use Growing in popularity: Quick response Easier targeting Consumers increasing deal-orientation Often easier to evaluate Aims to break down brand loyalty e.g. Encourage product trial, brand switching Encourage new product trial 10/15/2015Dr. Yuvaraj 14
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Best combo!!! 10/15/2015Dr. Yuvaraj 15
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Potential Disadvantages Frequent offers may ‘cheapen’ the brand image Encourages consumer promiscuity Consumers wait for the special offer and stockpile Often used to meet ‘year end’ targets Reduces subsequent sales Subsidises those who would have purchased anyway 10/15/2015Dr. Yuvaraj 16
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Internet Transactions Business Consumer Business Consumer B2B e.g. auto industry C2B e.g. Priceline B2C e.g. Amazon C2C e.g. eBay Source: The Economist 10/15/2015Dr. Yuvaraj 17
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Publishing One-way provision of information Interaction, e.g On-line customer service Games, promotions Transaction On-line purchasing Integration Automated management of supply chain Levels of On- Line Marketing 10/15/2015Dr. Yuvaraj 18
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Product What products, customer service to offer Price Same, cheaper or higher than off-line Delivery charges Promotion Internet only or include traditional Marketing communications mix decisions Affiliate marketing Place In-house or outsource distribution logistics The On-Line 4Ps 10/15/2015Dr. Yuvaraj 19
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B2B and B2C Electronic Commerce 10/15/2015Dr. Yuvaraj 20
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E-Commerce Business Models Online direct marketing Electronic tendering system Name-your-own-price Find-the-best-price 10/15/2015Dr. Yuvaraj 21
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E-Commerce Business Models Affiliate marketing Note the Sony logo at the top of this Web page www.howstuffworks.com 10/15/2015Dr. Yuvaraj 22
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E-Commerce Business Models Viral marketing Group purchasing Online auctions 10/15/2015Dr. Yuvaraj 23
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E-Commerce Business Models Product customization Deep discounters Membership 10/15/2015Dr. Yuvaraj 24
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E-Commerce Business Models Bartering online 10/15/2015Dr. Yuvaraj 25
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Benefits of E- Commerce Benefits to organizations Makes national and international markets more accessible Lowering costs of processing, distributing, and retrieving information Benefits to customers Access a vast number of products and services around the clock (24/7/365) Benefits to Society Ability to easily and conveniently deliver information, services and products to people in cities, rural areas and developing countries. 10/15/2015Dr. Yuvaraj 26
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Limitations of E-Commerce Technological Limitations Lack of universally accepted security standards Insufficient telecommunications bandwidth Expensive accessibility Non-technological Limitations Perception that EC is unsecure Unresolved legal issues Lacks a critical mass of sellers and buyers 10/15/2015Dr. Yuvaraj 27
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consumers are multitasking Source: PiperJaffray 10/15/2015Dr. Yuvaraj 28
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And…consumers don’t like ADS Source: PiperJaffray 10/15/2015Dr. Yuvaraj 29
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Eight Types of Web sites for Advertising Portals: most popular; best for reach but not targeting Search: second largest reach; high advertising value 10/15/2015Dr. Yuvaraj 30
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Eight types of sites (continued) Commerce: high reach; not conducive to advertising Entertainment: large reach; strong targetability Mall of Hawai’i 10/15/2015Dr. Yuvaraj 31
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Eight types of sites (continued) Community: emphasize being a part of something; good for specific advertising Communications: not good for branding; low targetability 10/15/2015Dr. Yuvaraj 32
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Eight types of sites (continued) News/weather/sports: poor targetability Games: good for very specific types of advertising 10/15/2015Dr. Yuvaraj 33
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What it is not: Forcing people to buy things they do not want Having ‘the gift of the gab’ Cheating, conning and lying The interpersonal arm of the promotional mix: Two-way Communicate with end customers, channels, intermediaries Represent the company to customers Represent customers to the company Increasing emphasis on the concept of relationship marketing Personal Selling 10/15/2015Dr. Yuvaraj 34
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The Selling Process Prospecting and qualifying Pre-approach Approach Presentation and demonstration Overcoming objections Closing Follow-up and maintenance 10/15/2015Dr. Yuvaraj 35
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Salesforce Management Structure / deployment e.g. Geographical, product, market Compensation Usually fixed + variable (OTE) e.g. Revenue, profit, product mix Recruitment, selection, training Motivating & managing Evaluating performance 10/15/2015Dr. Yuvaraj 36
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Sales Force Pros Two-way communication with customer Build relationships Speedy feedback Often essential Flexible focusing/targeting Cons Expensive Requires managerial infrastructure Focus on volume / revenue can lead to short term, less profitable, approach 10/15/2015Dr. Yuvaraj 37
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Market Research Market Information System 10/15/2015Dr. Yuvaraj 38
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Sources of information Internal records Marketing intelligence Competitor intelligence Marketing research 10/15/2015Dr. Yuvaraj 39
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Marketing information system (MIS) 10/15/2015Dr. Yuvaraj 40
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Information and conclusions Decision-making Solving a particular problem Continuous improvement Test: Ideas and concepts Marketing mix components Why Market Research? 10/15/2015Dr. Yuvaraj 41
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Limitations Does not make decisions Not a substitute for judgement Cannot accurately predict the future Less useful for very innovative, unique ideas Can be wrong….. 10/15/2015Dr. Yuvaraj 42
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The Sony Walkman (1979) “Sony co-founders Akio Morita and Masaru Ibuka came up with the idea, but their own product development team almost rejected it, predicting sales of just 5,000 units per month. Two months after its launch 50,000 units had been sold….sales reached 100 million in spring 2000” Source: Marketing magazine, 13 July 2000 10/15/2015Dr. Yuvaraj 43
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MR Process Problems Unclear objectives Inappropriate methodology Data entry errors Shallow analysis Bias… 10/15/2015Dr. Yuvaraj 44
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Bias Highly precise but wrong results Systematic error – cannot be measured Unrepresentative sample Sample size Questionnaire design Nature of question Interview environment Interviewer bias 10/15/2015Dr. Yuvaraj 45
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The Survey Process Problem definition & objectives (FUNDAMENTAL) Data (qualitative and/or quantitative) Sampling Questionnaire design Data collection (fieldwork) Data input & processing Analysis & reporting 10/15/2015Dr. Yuvaraj 46
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New Coke Coca-Cola’s failed flavour re-formulation in the 1980s Research problem defined as ‘taste not as good as Pepsi’ being the issue Problem was actually ‘why losing sales to Pepsi’ Conclusion: C-C defined the problem & research objectives incorrectly and thus collected interesting but useless (in fact – damaging) MR data See ‘Marketing Mistakes’ (6 th Ed) by Robert Hartley 10/15/2015Dr. Yuvaraj 47
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Data Sources Secondary data - already exists Internal and external Primary data – collected first-hand e.g. Your survey project Always review Secondary Data first 10/15/2015Dr. Yuvaraj 48
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Qualitative Research No imposed structure, can explore issues in detail Engages respondents in discussion Useful for uncovering attitudes and opinions Provides depth - the ‘why’ BUT Relies on interviewer skills Results are interpreted Cannot analyse statistically More expensive to analyse 10/15/2015Dr. Yuvaraj 49
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Qualitative Collection Methods Depth interview Focus group Self-completion questionnaire Observation Projective techniques 10/15/2015Dr. Yuvaraj 50
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Qualitative Questions Engage respondents in conversation Semi-structured Topic list with some order of questions Unstructured Topic prompts for discussion Broad, open questions Who, what, why, when, where, how, why, how Relies on interviewer understanding of the objectives & questioning / probing skills 10/15/2015Dr. Yuvaraj 51
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Interpreting Qualitative Results Interpretative Responses cannot be aggregated and computed: not ‘like with like’ General theme(s) may emerge which can provide useful clues e.g. “around 50% of respondents mentioned problems with computing facilities” Transcribe conversations etc. and include as Appendix in report 10/15/2015Dr. Yuvaraj 52
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Quantitative versus Qualitative Complementary Not mutually exclusive In the same project Within the same questionnaire 10/15/2015Dr. Yuvaraj 53
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Quantitative Research Questionnaire with pre-scribed options Aggregated answers Objective / computation Infer to a population based on statistics Provides breadth - the ‘what’ Cheap to collect and analyse sizeable sample BUT ‘Tick box’ options may result in omissions Tells ‘what’ but not ‘why’ Often no scope to clarify the question 10/15/2015Dr. Yuvaraj 54
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Questionnaire Design Layout & space Clear questions Clear instructions Concise as possible Relate to data entry & computation Always pilot EVERY QUESTION MUST PAY ITS WAY 10/15/2015Dr. Yuvaraj 55
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Instructions: An Example What was your main reason for joining the club? (select one only) To play tennis competitively To play tennis recreationally To play tennis & for social events For social events only Other family members / partner are members My children play tennis Other, please state: _____________________________________________ ____________________________________________ 10/15/2015Dr. Yuvaraj 56
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Questionnaire Design Logical order of questions Related Qs grouped together Build on previous questions Use ‘filters’ ‘Other, please state..’ Useful but expensive to analyse Instead: ‘Don’t know’ ‘none of these’ 10/15/2015Dr. Yuvaraj 57
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Tennis Survey Topics A LITTLE ABOUT YOU Demographics / membership status etc. CLUB FACILITIES AND SERVICES Buildings, courts, tennis, social COURTS AND PLAY Condition, availability, usage etc. COMMUNICATIONS Newsletters, website, committee etc. MEMBERSHIP Information, payment methods, joining process etc. ANY OTHER COMMENTS 10/15/2015Dr. Yuvaraj 58
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Filter Questions 8. Are you a member of any other tennis club? Yes Please state which club___________________ Now please go to Question 9 No Now please go to Question 10 9. Do you use other tennis club(s) more regularly than Ealing? Yes No 10/15/2015Dr. Yuvaraj 59
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Types of Question Multiple choice answers Yes/no/don’t know (closed questions) Rating / ranking scales Decide whether Odd or Even scale e.g. 1 - 5 or 1 - 4 Highest number is best (e.g. Very Good) Relate criteria to objectives Open (qualitative) 10/15/2015Dr. Yuvaraj 60
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Rating Scale Example (1) 10/15/2015Dr. Yuvaraj 64
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Rating Scale Example (1) 10/15/2015Dr. Yuvaraj 65
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Sampling Who do you invite to participate? The larger the sample the better Trade off: Accuracy, Cost, Speed Methodologies: Simple Random Stratified Cluster Quota Judgement 10/15/2015Dr. Yuvaraj 66
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Random Everyone has an equal (and calculable) chance of being selected, e.g: The balls in the National lottery draw Rolling an ‘unloaded’ dice Not generally used in commercial market research 10/15/2015Dr. Yuvaraj 67
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Stratified Groups of mutually exclusive characteristics, random sample drawn from each E.g: Employee survey on budgeting process Want to distinguish between views of different job categories E.g. Director, Service Manager, Officer, Team Leader, Clerical, Front-line etc. Need a sizeable sample from each category Not the same as proportion of job category in company as a whole 10/15/2015Dr. Yuvaraj 68
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Cluster Representative geographical areas (clusters) selected, random sample drawn from each E.g. See ‘New Coke’ (Marketing Mistakes) 10/15/2015Dr. Yuvaraj 69
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Quota Interviewers select people to be interviewed against pre-determined numbers and strata (characteristics) Extremely common in commercial market research Risks bias 10/15/2015Dr. Yuvaraj 70
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Judgement Sample selected according to researcher’s judgement Common in B-to-B market research, e.g: Research into UK mobile phone industry would need to include the five operators - 02, Vodafone, Orange, T-Mobile and 3 Might also include branded service distributors and equipment suppliers to UK market, such as Virgin, Tesco, Nokia, Motorola etc. 10/15/2015Dr. Yuvaraj 71
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Quantitative Data Analysis Excel MS Access + SPSS SPSS alone Various combinations of above SET UP ANALYSIS TOOL AT QUESTIONNAIRE DESIGN STAGE 10/15/2015Dr. Yuvaraj 72
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Analysing Quantitative Data Look for Overall outcome Similarities and differences between different characteristics ‘Cross-tabulations’ (e.g. favourite perfumes by age group, income etc.) Correlations not always ‘cause and effect’ High correlation between birth rate in the US population and the price of pigs (Ferber) 10/15/2015Dr. Yuvaraj 73
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Market Research Conclusion Key points to remember for practical MR: Define problem and MR objectives carefully and clearly Every question must pay its way Configure analysis tool at questionnaire design stage Pilot on a small scale before you ‘go live’ with larger sample size 10/15/2015Dr. Yuvaraj 74
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Demand estimation 10/15/2015Dr. Yuvaraj 75
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Measuring market demand The total market demand is the total volume of a product or service that would be bought by a defined consumer group in a defined geographic area, in a defined time period in a defined marketing environment under a defined level and mix of industry marketing effort. 10/15/2015Dr. Yuvaraj 76
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Estimating market demand Q= n x q x p Where Q = total market demand n = number of buyers in the market q = quantity purchased by an average buyer per year p = price of an average unit 10/15/2015Dr. Yuvaraj 77
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Forecasting future demand Common sales forecasting techniques 10/15/2015Dr. Yuvaraj 78
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Forecasting future demand Environmental forecast Inflation, Unemployment, Interest rates, Consumer spending and saving, Business investment, Government expenditure. Industry forecast What is currently happening? Company sales forecast Buyers’ intentions, Composite of sales force opinions, Expert opinion. Test market method. Time series analysis, Leading indicators, Statistical demand analysis, Information analysis. 10/15/2015Dr. Yuvaraj 79
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Questions? 10/15/2015Dr. Yuvaraj 80
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