Winning Hearts, Minds and Sales in Emerging versus Mature Markets Why Long-Term Marketing Effectiveness Differs Koen Pauwels, Ozyegin University, Istanbul Selin Erguncu, Koc University, Istanbul Marketing Dynamics 2011: Jaipur, India 1 Overview • Branding and marketing effectiveness • Customer Attitude Dynamics and Criteria • How CAD differs in emerging vs mature markets • Empirical comparison across 2 categories 2 Is a brand = a brand = a brand ? “Marketing principles are universally applicable, and the marketer’s task is the same whether applied in Dimebox, Texas or Katmandu, Nepal”(Cateora and Hess 1966, p. 4) "We have passed through the age of information and knowledge and we now live in the age of ideas. Successful brands tell stories. They are romantic and mysterious.“Roberts (2005, Lovemarks) “In the end, it’s really the basic work, whether you have reliable quality, good service, that are the fundamental attributes of a brand.” Mr Zhou (CEIBS, 2008) 3 Do consumer behavior & marketing effects differ ? “in India, people are even more brand-conscious than they are in the U.S., particularly for PCs. If someone buys a PC, all the neighbors come and ask not only which brand you bought, but what type of processor it has in it” (Deepak Advani, IBM, 2009) “In emerging markets, brands are seen as an important mark of quality and status. People value the reassurance provided by a well-known brand name, and if they can, they may be willing to pay more for it. They believe it is important to get the right brand even if they have to shop around for it. In mature markets, people are more likely to assume that all brands stocked by mainstream retailers will deliver the same basic quality” (Nigel Hollis, Millward Brown 2010) 4 Emerging Markets • are countries that are restructuring their economies along market-oriented lines; • offer a wealth of opportunities in trade, tech transfers, and foreign direct investment; • are regional economic powerhouses with large populations, resource bases, and markets; • will also become more significant buyers of goods and services than industrialized countries. Cultural & Economic Differences Cultural Differences • Self-Construal / collectivist • Power Δ / status seeking • Search Economic Differences • Income • Consumer Protection • Technology, Competition,… BIC versus Anglo-Saxon market descriptives (st.dev.) Brazil, India, China USA, UK, Netherlands Individualism 35 (14,19) 87 (6,08) Power Distance 75 (5,69) 38 (2,52) 4.310 (3.636) 43.313 (6.971) Technology Level 3,89 (0,30) 5,38 (0,75) Trust in General Advertising 2,7 (0,12) 2,4 (0,03) Trust in Traditional Advertising 2,8 (0,15) 2,5 (0,06) Trust in Online Advertising 2,6 (0,10) 2,3 (0,03) GDP per capita (US$) 7 50 2.75 45 2.7 Brazil Trust in general advertising GDP per capita (US$) 40 35 30 25 20 15 10 2.65 India 2.6 China 2.55 US 2.5 UK 2.45 Netherlands 2.4 5 2.35 0 0 50 Individualism 100 0 50 Individualism 100 8 Customer Attitude Dynamics (Srinivasan et al. 2010) Marketing What marketers do • Advertising • Price • Distribution builds Attitudes What customers think & feel Awareness Consideration which convert to Brand Sales What customers do Brand purchases Liking Customer Attitude Dynamics Criteria • Hanssens, Pauwels, Srinivasan and VanHeule (MSI 2010) • Explain marketing impact by 4 criteria of attitude dynamics – Potential: room to grow ? – Stickiness: do changes last ? – Responsiveness to Marketing – Conversion to Sales • This paper proposes that attitude dynamics (and thus marketing effects) differ for emerging vs. mature markets 10 Our Conceptual Framework Cultural Differences -Self-Construal - Search Attitude Dynamics: Stickiness, Conversion Marketing Response of each attitude to: Economic Differences - Awareness -Consideration - Liking -Advertising - Distribution -Price -Income -Consumer Protection Marketing Effectiveness -Sales H1: Interdependent self-construal leads to (a) higher stickiness for consideration and (b) liking, and thus a (c) lower responsiveness to advertising. Connectedness Communal decisions Strong relation Comparing experiences Interdependent self-construal Higher stickiness for consideration and liking Lower responsiveness to advertising 12 H2: Higher information search leads to (a) lower stickiness for awareness, and thus (b) higher responsiveness to advertising and (c) to distribution. Status conveyed by consumption Low consumer protection Higher trust in advertising Higher search: higher upside benefits AND downside costs Less blocking of advertising Higher responsiveness to advertising and distribution Lower stickiness Less ad-blocking technology 13 H3: (a) Consideration has higher sales conversion than liking; (b) distribution not as crucial as in mature markets, but (c) high price perception helps sales High PriceQuality Perception Insufficent protection of consumer interests ‘Cheapest’ goods may be poor quality Higher sales converstion for consideration Will “shop around” to avoid poor quality Buy Known Hi-end Brands Lower sales conversion for liking 14 H4: High price (a) increases consideration, but reduces (b) liking and (c) sales due to low income Low Income Higher consideration Limited purchasing power High Price Lower sales effects and lower liking High Quality Stronger price-quality associations 15 Marketing Effects Emerging versus mature markets Awareness Advertising Responsiveness [H2b] Distribution Responsiveness [H2c] Price Responsiveness Stickiness Conversion [H2a] Consideration ) [H1c] Liking [H1c] Sales Effects Lower ST but longer LT [H3b] [H3b] [H4a] [H3c] [H1a] [H1b] [H3a] [H3a] 16 Methodology: system of univariate equations • Potential = remaining distance to the natural ceiling – Similar to classic dynamic response models (Vidale & Wolfe) • Stickiness = staying power without further inducement – Measured as own lagged terms (∑AR terms univariate model) – Range of stickiness is 0 stickiness to 1 (permanent shift) • Responsiveness=marketing’s power to move attitude needle – Is short-term elasticity, different for each metric and action 17 Attitude-to-Sales Conversion • Regression of sales on attitude metrics & AR(1) • Consumer attitude metrics Granger Cause sales: they help us predict sales beyond past sales info MSFE( S | S(-k) ) > MSFE ( S | S(-k), A(-k) ) – S = sales revenue – A = attitude metric – k>0 18 Long-Term Marketing Effectiveness | 19 Vector-Autoregressive Model of Sales and Marketing: 11j Pr icet CP P Dist 12 J j C 21 t D D Seast j Adst C A A 1 j 1 31 j 41 Salest CS S 12j 22j 32j 42j 13j 23j 33j 43j 14j Pt j P ,t j D 24 t j D ,t j A ,t 34 At j j 44 St j S ,t › Lags J selected by Bayesian Information criterion › Immediate impact through error covariance matrix › Cumulative sales effect: impulse response function Data challenges • 1) 2) 3) Control for other differences: Brands: same brands in emerging/mature market Market (share) position: similar positioning, market shares Similar potential: for attitude metrics ideally • Data for non-food FMCG in 2000s: marketing, attitudes Emerging market: a BIC country (global top 10) Mature market: a highly industrialized country (global top 10) Same 3 global brands, similar market share position, potential 20 Attitude Stickiness in Emerging vs Mature Market category 1 AD AWARE Emg < Mature category 2 TOTAL 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 0.7 0.6 CONSIDER Emg > Mature 0.5 0.4 0.3 0.2 0.1 0.0 0.7 LIKING Emg >> Mature 0.6 0.5 0.4 0.3 0.2 0.1 0.0 21 Sales Conversion in Emerging vs Mature Market category 1 category 2 TOTAL 0.05 0.04 AD AWARE Inconclusive 0.03 0.02 0.01 0.00 0.20 CONSIDER Emg > Mature 0.15 0.10 0.05 0.00 0.25 LIKING Emg << Mature 0.20 0.15 0.10 0.05 0.00 22 Advertising Response in Emerging vs Mature Market category 1 AD AWARE Emg > Mature category 2 TOTAL 0.020 0.018 0.016 0.014 0.012 0.010 0.008 0.006 0.004 0.002 0.000 0.008 CONSIDER Emg << Mature 0.006 0.004 0.002 0.000 0.012 LIKING Emg << Mature 0.010 0.008 0.006 0.004 0.002 0.000 23 Distribution Response in Emerging vs Mature Market category 1 category 2 TOTAL 0.7 0.6 0.5 AD AWARE Emg > Mature 0.4 0.3 0.2 0.1 0.0 CONSIDER Inconclusive LIKING Emg < Mature 0.8 0.6 0.4 0.2 0.0 -0.2 -0.4 -0.6 1.4 1.2 1.0 0.8 0.6 0.4 0.2 0.0 -0.2 -0.4 24 Price-Attitude Response in Emerging vs Mature Market category 1 category 2 TOTAL 0.5 0.0 AD AWARE (-) Emg >> Mature -0.5 -1.0 -1.5 -2.0 -2.5 1.4 1.2 CONSIDER Emg > Mature 1.0 0.8 0.6 0.4 0.2 0.0 -0.2 1.0 LIKING Emg - , Mature + 0.5 0.0 -0.5 -1.0 -1.5 -2.0 25 Long-Term Sales Effects Emerging vs. Mature Markets 1.160 1.3 0.8 0.521 0.3 0.108 0.020 -0.2 EMG MATURE -0.7 Advertising Effect EMG MATURE Distribution Elasticity EMG MATURE Price Elasticity -1.2 -1.487 -1.7 -2.2 -2.053 26 Love Marks or Safe Bets ? Low sales conversion High sales conversion Low response to marketing , high staying power Liking Emerging Consideration Emerging High response to marketing, low staying power Consideration Mature Liking Mature 27 As illustrated in US-China debates on what a brand is • “A recent study reveals that the average Chinese consumer feels the need to wear at least three branded items to feel comfortable at work. Yet, when probed further, they were at a loss, unable to define the features of a brand. However, they had no difficulty describing the product. It seems that for them, the product is the brand. The emotional connection is simply absent” (Lindstrom 2011) • Advani (2006) : "We are trying everyday to make Lenovo a global brand. Our goal is, not only people here but also people around the world know us. They will have an emotional connection with Lenovo. Becoming a name is one thing but having a deep emotional connection with the company is quite another. That is what our aspirations are: to become a brand that people around the world love.” 28 Romance & Reliability • Roberts (2005) identifies 3 key elements of a Lovemark: mystery, sensuality and intimacy: "We have passed through the age of information and knowledge and we now live in the age of ideas. Successful brands tell stories. They are romantic and mysterious.“ • Mr Zhou (CEIBS, 2008) “In the end, it’s really the basic work, whether you have reliable quality, good service, that are the fundamental attributes of a brand.” 29 CONCLUSIONS • Different long-term marketing effectiveness in emerging versus mature markets • Can be explained by differences in stickiness, responsiveness and sales conversion of attitudes • Emerging markets experience a higher stickiness of consideration & liking (interdependent self) • But a higher responsiveness of ad awareness to advertising & distribution (more search) • Consideration converts more than liking 30 Which raises further questions: • Symbolic > Experiential brand benefits in emerging market • Self expansion (Aron et al. 2005) is the desire to incorporate others (people or brands) into the self concept (Park et al. 2010): do mature market consumers care more about emotional connections with brands because they have fewer connections with people (eg Erdem on religion?) • As countries transition to industrial & to service-oriented economies (Inglehart and Baker 2000), will consumers continue go for ‘safe bets’, i.e. brands with reliable quality and good service or will they go for ‘love marks’, i.e. brands that are “romantic, sensual and intimate” ? 31 Thank you ! QUESTIONS ? 32 Relative Price, Consideration and Love for 3 brands Category 1 Category 2 1.4 1.4 1.2 1.2 Emg Price 1 1 Mat Price 0.8 0.8 Emg Consider 0.6 0.6 Mat Consider 0.4 0.4 Emg Like 0.2 0.2 Mat Like 0 0 A B C A B C 33 ‘Cost More’ Sales Conversion: + Emg, - Mature Market category 1 category 2 TOTAL 0.04 0.02 0.00 -0.02 -0.04 -0.06 -0.08 -0.10 -0.12 34 1) Potential: does attitude have room to grow ? 40% 95% 35 2) Stickiness: how much carries over ? 36 3) Responsiveness: can we move it? 37 4) Conversion: does it translate into sales ? 38 Customer Attitude Dynamics (Srinivasan et al. 2010) What marketers do • • • Advertising Price Distribution Indirect effect: Direct Effect: Harvesting Attitudes building attitudes What customers think & feel Awareness Consideration Liking and converting them to sales What customers do Brand purchases
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