- Contents
- *Overview
- What you need to know
- Key issues covered in this Report
- Report scope
- Objective and research methodology
- Quantitative research
- Figure 1: The sample structure for each city is as follows:
- Qualitative research
- Figure 2: Interviewed cities in the qualitative research
- Figure 3: Profiles of respondents to the qualitative research
What you need to know
Lower tier city consumers are no less active on social media than those in Tier 1 and Tier 2 cities. A lack of access to offline channels has made them dependent on online channels for every step when shopping, from learning what is on-trend to keeping in touch with brands, from selecting and purchasing products to sharing their shopping experience. To penetrate the lower tier market, it is essential to fully leverage big data tools and online distribution channels, such as social commerce and community group buying, to win over lower tier city consumers and build trust with them.
Through quantitative (based on the quantitative data from multiple Mintel Reports in 2019 and 2020) and qualitative research, this Report compares consumer behaviour and attitudes in different city tiers. This Report examines lower tier city consumers' expectations of social media, both as an information channel and a shopping platform, and by using a series of cases, it explains to brands and social media platforms what strategies would effectively increase their competitiveness in lower tier cities.
Key issues covered in this Report
Advantages of social commerce
The ecosystem of the WeChat ecommerce platform
Preferences towards short video content
The key to KOL marketing
Motivations for sharing
Attitudes towards personal privacy
Report scope
Online activities defined in this Report include:
Online shopping
Chatted with family/friends
Watching live stream/short videos
Listening to music
Watching films/TV series
Sharing my life on social media
Reading social media contents published by public accounts or bloggers
Playing games
Reading e-books/comics
Objective and research methodology
According to the National Bureau of Statistics, there were 672 cities in China at the end of 2018, among which 297 are of the prefecture level and 375 are of the county level. As Mintel clients have interest in multiple different aspects (region, city size), Mintel selects different cities for each round of surveys, considering their geographical locations and levels of economic development (eg GDP, per capita income). Mintel classifies China's cities according to the following criteria:
Tier 1 cities: large economic centres, ie Beijing, Shanghai, Guangzhou and Chengdu*
Tier 2 cities: provincial capitals (eg Jinan), municipalities (直辖市) (eg Tianjin, Chongqing) and economically developed prefecture-level cities (eg Suzhou, Dalian)
Tier 3 or lower cities: mostly prefecture-level cities (eg Weifang, Ganzhou and Pingxiang)
* Mintel chooses Chengdu to represent Tier 1 cities in the midwest of China for the purpose of regional comparative analysis.
Through quantitative (based on the quantitative data owned by Mintel collected from 2018 to 2020) and qualitative research (based on in-depth interviews with 20 respondents from 10 Tier 3 or lower cities), this Report compares and analyses consumer behaviour and attitudes in different city tiers. Meanwhile, the Report further explores effective strategies for companies to improve their competitiveness in lower tier cities by analysing cases.
Quantitative research
Quantitative consumer research data was collected from various Mintel Reports over 2019-20. The consumer research, exclusively commissioned for China Reports, was conducted by a Chinese licensed market survey agent, KuRunData. The online consumer survey was sampled in 10 cities, each with a sample size of 300 people, for a total of 3,000 people.
Gender and age | Household income (RMB) | |||||||||
Tier 1 cities | Total | Male 20-29 |
Male 30-39 |
Male 40-49 |
Female 20-29 |
Female 30-39 |
Female 40-49 |
6,000-9,999 | 10,000-17,999 | 18,000+ |
Beijing | 300 | 50 | 50 | 50 | 50 | 50 | 50 | 100 | 100 | 100 |
Shanghai | 300 | 50 | 50 | 50 | 50 | 50 | 50 | 100 | 100 | 100 |
Guangzhou | 300 | 50 | 50 | 50 | 50 | 50 | 50 | 100 | 100 | 100 |
Chengdu | 300 | 50 | 50 | 50 | 50 | 50 | 50 | 100 | 100 | 100 |
Tier 2, 3 or lower cities | Total | Male 20-29 |
Male 30-39 |
Male 40-49 |
Female 20-29 |
Female 30-39 |
Female 40-49 |
5,000-8,999 | 9,000-15,999 | 16,000+ |
City 1 | 300 | 50 | 50 | 50 | 50 | 50 | 50 | 100 | 100 | 100 |
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Qualitative research
To explore the ‘why’ behind the quantitative data, Mintel conducted in-home or online interviews with 20 respondents from 10 lower tier cities listed below. Each in-home visit lasted for about one hour with a moderator doing in-depth interviews with respondents, to understand their lifestyles, purchase preferences and the factors that influence them.
In the qualitative research, Mintel selectively recruited affluent and educated respondents aged 25-39. In each city, Mintel recruited one male and one female respondent who has a personal income of RMB6,000-10,000 if single, or a household income of RMB14,000-25,000 if married. These respondents are more sensitive to market trends and better able to express their opinions. This ensures the smooth running of the research and is critical to gathering meaningful insights.
City | Gender | Age | Marital status | Education | Company type | Occupation | Income | Household members |
Liuzhou, Guangxi | Male | 35 | Married with a six year old daughter | Postgraduate | State-owned business | University lecturer | Monthly household income RMB20,000 | Living with partner, one child and parents |
Liuzhou, Guangxi | Female | 28 | Single | Undergraduate | State-owned business | Real estate salesperson | Monthly personal income RMB7,000 | Living with parents |
Zhanjiang, Guangdong | Male | 27 | Single | Undergraduate | Self-employed/freelancer | Milk tea house owner | Monthly personal income RMB8,000 | Living alone |
Zhanjiang, Guangdong | Female | 32 | Married with a two year old daughter | Undergraduate | State-owned business | Junior college lecturer | Monthly household income RMB16,000 | Living with partner, one child and mother-in-law |
Linfen, Shanxi | Male | 30 | Single | Undergraduate | Self-employed/freelancer | Health supplement business owner | Monthly personal income RMB6,000 | Living with parents |
Linfen, Shanxi | Female | 26 | Married with a 10 month old daughter | Junior college | State-owned business | Port security | Monthly Household Income RMB20,000 | Living with partner and one child |
Dezhou, Shandong | Male | 36 | Single | Junior college | Privately owned/foreign-owned business | Risk control at a private financial company | Monthly personal income RMB10,000 | Living alone |
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