Rapport
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Executive summary
Among the key findings:
The implications of our research are again far-reaching, providing insights that will help marketers shape strategic decisions. The route to success begins with an understanding of a brand category’s position on the continuum from heavy repertoire to more loyalist. Marketers can use this understanding to determine how to increase penetration for their brands. As we will discuss in greater detail, the most effective approach to building penetration depends on whether the category skews toward heavy repertoire or more loyalist:
Full report This report presents a second in-depth look at Chinese shoppers, bringing their purchasing behaviors into even sharper focus. For consumer goods makers in search of growth, the findings once again help fill a serious void, providing detailed data and in-depth analysis of shopper behavior—information that has been limited until now. Our studies provide much richer analysis and sharper insights into shopper behavior than traditional market research allows. Instead of simply asking questions about past purchases and future intentions, Kantar Worldpanel armed shoppers (again in 40,000 households) with inhome scanners that tracked their actual purchases in real time. Together, we again looked at detailed records in the same 26 selected consumer goods categories. For the first time this year, we augmented this overall research with a refined analysis of 10 categories we deemed worthy of further focus. This fine-tuning allowed us to reach several important—and at times, surprising—conclusions. The comprehensive 2013 report covers all Chinese city tiers and life stages. Shoppers from 373 cities in 20 provinces and four major municipalities participated.2 The cities reflect the vast range of shopping options available in China today, from the modern trade that flourishes in Tier-1 cities (hypermarkets, supermarkets and convenience stores) to the traditional trade that is common in smaller modern cities (mom-and-pop grocery shops, specialty stores and department stores). Also included in the study: China’s young but burgeoning e-commerce market. The study had a broad scope—for example, we tracked older, married shoppers buying shampoo in the aisles of a Guangzhou hypermarket and young students purchasing chewing gum in tiny mom-and-pop stores in cities like Lijiang. The categories we analyzed span beverages, packaged foods, personal care and home care—the four largest consumer goods groups, which account for more than 80% of China’s consumer goods market. And the brands we studied represent more than 50% of these four groups in China. In our 2013 report on Chinese shoppers, we confirmed and expanded our insights regarding their behavior, once again finding that the 26 categories lie along a continuum from “heavy repertoire” to “more loyalist” (see Figure 2). (The 2013 report analyzed data collected in 2012, whereas the 2012 report analyzed data collected in 2011.) 
Shoppers exhibit repertoire behavior when they choose multiple brands within a category for the same occasion or need. The more frequently that shoppers buy in a repertoire category, the more brands they tend to buy in that category. And heavy shoppers of a particular brand tend to be heavy shoppers of other brands in that category. Strong repertoire categories include skin care, biscuits and chocolate. In contrast, shoppers demonstrate loyalist behavior when they frequently buy one brand in a category for a specific need or occasion. They tend to buy the same brands even when they buy more frequently in a category. And heavy shoppers of a particular brand are not heavy shoppers of other brands in that category. Strong loyalist categories include infant formula, baby diapers and milk. Understanding where a category falls along the continuum from repertoire to loyalist should be at the center of any brand strategy. Shopper behavior is consistent in both years Although brands are important to Chinese shoppers, these shoppers don’t think about one brand very often. Across the 26 categories we studied, the average purchase frequency of any particular brand is very low: less than five times per year. Even at the category level, the average purchase frequency rarely exceeds once per month. Shoppers’ very low engagement level with all brands should be sobering news for marketers who believe that the key to success is devoting tremendous effort and resources to getting shoppers to love their brands. Our 2013 study confirmed this finding when we again looked at how frequently shoppers bought the top three brands in a category (see Figure 3). For example, the average purchase frequency of the top three ready-to-drink tea brands is only 3.4 times per year; for the top three beer brands, only 3.8 times. This low purchasing frequency indicates that Chinese shoppers don’t often have just one brand in mind, despite what marketers sometimes think. 
Across the 26 categories, we found very similar behaviors in both years, in terms of number of brands purchased and the frequency of purchase. In both years, shoppers tended to purchase more brands when they purchased more frequently—that is, they tend to exhibit repertoire behavior (see Figure 4). 
Heavy shoppers not only buy more brands than average shoppers, they also buy more brands as they purchase more frequently in most categories. As frequency increases, we found, the variation in the number of brands that shoppers buy across the 26 categories widens (see Figure 5). In other words, shoppers who increase their purchasing within most categories also try different brands in the category. For example, the heavy shoppers in the candy category—those representing the top 20% of candy purchasers who buy most frequently— bought approximately twice as many brands as all shoppers in that category. These heavy shoppers of candy purchase 15.6 times per year and choose 8.1 brands, whereas the average candy shoppers purchase only 6.8 times per year and choose 4.1 brands. 
In categories with stronger repertoire behavior, brands’ heavy shoppers are often heavy shoppers of competing brands as well. As an example, consider Minute Maid’s heavy shoppers. The 20% of Minute Maid shoppers who are the product’s most frequent purchasers in China contribute approximately 50% of the brand’s sales value in the country. These shoppers also contribute significantly to competing brands’ sales value— 20% or more in several cases. Indeed, Minute Maid accounts for only approximately 35% of its heavy shoppers’ total spending on juice (see Figure 6). 
As one would expect, in categories with stronger loyalist behavior, a brand’s heavy shoppers allocate most of their category spending to that brand. Tsingtao’s experience illustrates this. Its heavy shoppers contribute approximately 60% of its sales value. But these shoppers don’t contribute much to competing brands’ sales value—less than 10% in most cases. And Tsingtao accounts for about 65% of these shoppers’ total beer spending (see Figure 7). 
Penetration is paramount Our latest study confirmed that penetration is the most important driver of market share across all 26 categories. (“Penetration” [expressed as a percentage] is the number of households that bought a brand or category at least once during the year divided by the total number of households in the study.) Leading brands always have much higher penetration rates than the average rate for brands in their category. Specifically, we found that the leading brand’s penetration rate is approximately 3 to 10 times higher than the average penetration rate of the top 20 brands in the category (see Figure 8). The difference in penetration rates is significantly larger than the difference in purchase frequency and repurchase rate for the leading and top 20 brands in the same categories. (see Figure 9). 
The importance of penetration over purchase frequency for driving market share was confirmed when we refined our analysis across 10 focus categories to understand the distribution of purchase frequency for leading and smaller brands. The results are telling: Most shoppers have very low purchase frequency at the category and brand level. Across all 10 focus categories, approximately 40% to 60% of shoppers purchase a brand only once a year, whereas approximately 70% to 80% of shoppers purchase no more than two times per year. Within each category, low-frequency shoppers are very critical to the shopper base and contribute significantly to revenue. This is true for both leading and smaller brands. For leading brands, approximately 20% to 55% of revenue is contributed by shoppers who purchase no more than two times per year. As an example, consider the fabric detergent category. Across all brands in the category, most shoppers made fewer than three purchases in 2012 and nearly half of them made only one purchase (see Figure 10). For the leading brand, Liby, approximately 30% of revenue was contributed by shoppers making no more than two purchases per year (see Figure 11). 
Low-frequency shoppers are even more critical to revenue for smaller brands. In each of the 10 focus categories, the average revenue contribution by shoppers with no more than two purchases per year for the top seven brands exceeded their revenue contribution for the leading brands (see Figure 12). Among fabric detergents, the three leading brands—Liby, OMO and Diaopai—have lower revenue contribution from low-frequency shoppers than four smaller brands: Bluemoon, Tide, Chaoneng and Ariel (see Figure 13). 
Given the importance of low-frequency shoppers, penetration is the key to growth for any brand. The fabric detergent and shampoo categories illustrate the high correlation between market share and penetration (see Figure 14). Even when looking at all 26 categories, the correlation between market share and penetration is still very high (see Figure 15). 
What’s more, in most categories, brands with higher penetration rates also tend to have higher purchase frequency and a higher repurchase rate. In the properly defined categories we studied, we did not find a brand that had a higher purchase frequency or repurchase rate than the category’s leading brand. In the fabric detergent category, for example, higher penetration for the leading brands also drove higher purchase frequency and repurchase rates (see Figure 16). This suggests that “niche brands” with an exceptionally loyal shopper base don’t really exist—brands with a small shopper base are simply small brands, whose buyers usually buy less frequently and churn more often. (Category definition is critical to accurately making this assessment. Properly defining a category involves analyzing shoppers’ overlap across categories and brands to assess whether the shoppers consider these categories as one or several, and whether they consider brands as direct competitors. For example, are laundry liquid, laundry bar and laundry powder one or several categories? Is beer a national category or a regional category? Does Mizone compete with Nongfu in drinking water?) 
Across all categories this analysis leads to the inescapable conclusion that penetration is paramount. Companies need to sell to as many shoppers as possible to build a big brand. Following from this finding, companies cannot expect to create big brands by targeting and selling to only a few shoppers in the hope that those shoppers will become heavy or loyal buyers. Shoppers simply don’t behave that way. A brand’s shopper base is a “leaky bucket” Reinforcing the importance of penetration, our study also found that brands’ shopper bases are not stable. The shopper base of all brands we studied experiences a high level of churn, regardless of a brand’s size. Marketers who think that their shopper base and revenue are stable should stop and take note—this apparent stability is actually an illusion. Indeed, the rates of loss and recruitment of shoppers can be significant. For example, Head & Shoulders’s shopper base increased by 3% from 2011 through 2012, which appears quite stable. However, the brand lost 45% of its 2011 shopper base, while at the same time adding new shoppers that represented 48% of the 2011 base. Its sales value increased by 11%, but only 6% of the increase came from stable shoppers. Departing shoppers represented 35% of sales value, while newcomers represented 40% (see Figure 17). 
On average, the top five brands in each of our 10 focus categories lost 30% to 60% of their shopper base in 2012 compared with 2011. These lost shoppers represented, on average, 20% to 50% of the top five brands’ revenues in 2011 (see Figure 18). Similarly, we found that, on average, the top five brands recruited new shoppers amounting to 40% to 80% of their shopper base. Sales to these new shoppers represented, on average, 35% to 80% of the brands’ 2011 revenues (see Figure 19). 
We also found that smaller brands tend to have higher churn rates than leading brands. This reinforces the view that niche brands do not exist in China (see Figure 20). Small brands simply have fewer buyers, who buy less frequently and who churn more often. As one might expect, we also found that the churn rate in loyalist categories, on average, appears to be lower than in repertoire categories. 
This analysis demonstrates that a brand’s shopper base is like a “leaky bucket.” For a brand to grow, a company needs to recruit new shoppers every year to compensate for those it loses, further emphasizing the importance of penetration. Because most shoppers have very low engagement with a brand (in terms of purchase frequency and repurchase rate), a company needs to find ways to recruit potential buyers again each time they go shopping. Knowing a brand’s place on the repertoire-to- loyalist continuum is vital Our findings demonstrate that across all categories, whether characterized by heavy repertoire or more loyalist behaviors, the most important factor in growing brands is to drive penetration. By applying the right ways to build penetration, companies can capture revenue from the low-frequency shoppers who represent the bulk of any brand’s revenue base. They can also regularly recruit new shoppers to refill the base’s “leaky bucket.” And they can drive higher rates of frequency and repurchase among the shopper base. A major implication is that marketers must identify the barriers to penetration and address a key question: “Why are shoppers not buying my brand?” To provide an answer to this question, we believe that shopper research should focus on those who have yet to purchase a brand rather than the brand’s existing shoppers. Recognizing the importance of penetration for all types of categories is just the starting point for success. To build on it, companies must understand that the differences between repertoire and loyalist categories create the need for different approaches to increasing penetration. That means a company must identify a brand category’s position on the continuum between “heavy repertoire” and “more loyalist” before deciding how to grow penetration for that brand. To determine whether a category tends to skew more toward repertoire or loyalist behavior, we used the data from the analysis shown in Figure 5 (the number of brands purchased versus the purchase frequency for heavy and average shoppers) to compare the 26 categories. The slope of the curve for a category in this analysis can be used to assess the degree of repertoire behavior for the category relative to the other categories. A steeper slope indicates that a category is “heavy repertoire” (for example, candy), whereas a flatter slope indicates that a category is “more loyalist” (for example, yogurt) (see Figure 2). To confirm the analysis shown in Figure 2, we compared the results for the 10 focus categories with the level of churn in each category’s shopper base. As we expected, the categories we identified as most heavy repertoire were also more likely to have a higher level of churn (see Figure 21). 
In some cases, the degree of repertoire behavior for a category may be unclear after these two analyses. In the second analysis, for example, the kitchen cleaner category (a stronger loyalist category in the first analysis) has a higher churn rate than the biscuits category (one of the heavier repertoire categories). What’s more, the carbonated soft drink (CSD) category falls in the middle of the continuum in both analyses. To clarify a category’s nature, marketers can analyze share of wallet for heavy shoppers of the category’s leading brand. (“Share of wallet” is the percentage of a shopper’s spending in a category that’s devoted to a given brand.) A leading brand’s share of wallet for heavy shoppers is typically higher for loyalist categories. For example, this analysis shows that kitchen cleaner is a stronger loyalist category and that biscuits is a heavier repertoire category, consistent with the first analysis of the continuum. The share of wallet for Sprite, the leading CSD player, suggests that this category skews toward repertoire behavior (see Figure 22). 
Rules of the road Armed with an understanding of a brand category’s position on the continuum, marketers can choose the right approach to building penetration. In categories with stronger repertoire behavior, marketers can drive penetration by taking the following actions:
In categories with stronger loyalist behavior, marketers can drive penetration in the following ways:
In all categories, marketers can apply Bain & Company’s effective approach to growing brands, developed on the basis of our extensive research in China and other markets:
Transitioning from opacity to clarity in your understanding of Chinese shoppers will be critical to developing a strategy that will help your brands grow and gain share. Outpacing the competition in China requires building penetration, given the low level of shopper engagement as reflected in shoppers’ low purchase frequency and high churn rate. To counter this, brands in all categories must recruit shoppers during every shopping occasion—at the very least to replace the shoppers inevitably lost through churn. With a solid understanding of a category’s position on the continuum from repertoire to loyalist, marketers can take the right steps to attract new shoppers to their brand. These findings from our 2013 groundbreaking study of Chinese shoppers provide valuable insights to executives seeking the route to success in this complex market, which faces slowing growth and intensifying competition. Bruno Lannes is a partner in Bain’s Shanghai office and leads the firm’s Consumer Products and Retail practices for Greater China. Mike Booker is a partner in Bain’s Singapore office and leads the firm’s Consumer Products and Retail practices for Asia. 1 The patterns we observed are consistent with the theories developed by Professor Andrew Ehrenberg in the late 1950s and have been demonstrated to hold true in a broad variety of categories and markets. These patterns are currently being further studied and refined by the Ehrenberg-Bass Institute for Marketing Science. 2 Kantar Worldpanel’s city-tier definitions are based on China’s administrative definitions. Beijing, Shanghai and Guangzhou are Tier 1 cities; 24 provincial capitals and a handful of prosperous prefecture cities, such as Shenzhen, Dalian, Chongqing and Qingdao, are Tier 2 cities; 228 prefecture cities are Tier 3 cities; 322 city-associated districts and county-level cities are Tier 4 cities; and 1,300 counties are Tier 5, without coverage in Inner Mongolia, Ningxia, Gansu, Qinghai, Tibet, Xinjiang and Hainan provinces. The 373 cities in the study are a representative sample of all 1,877 cities. |