Using Consumer Preference Data to Drive Product and Marketing Strategy in China

(Source: https://pltfrm.com.cn)

Introduction

Consumer preferences in China evolve rapidly, driven by trends, culture, and social influence. For overseas brands, systematically analyzing customer preference data ensures offerings align with local tastes, avoids costly missteps, and accelerates market adoption. This article highlights actionable strategies to leverage such data effectively.


1. Collecting Preference Data

1.1 Surveys and Polls

Online surveys on WeChat or Red provide insights into specific preferences such as product features, price points, or brand perception. Structured questionnaires and incentives improve response quality.

1.2 Behavioral Tracking

Analyzing browsing, purchase history, and engagement on e-commerce platforms reveals implicit preferences. This allows brands to identify products or features that attract attention even if not explicitly stated.


2. Understanding Regional Differences

2.1 Tier-Based Segmentation

Consumer preferences vary across tier-1, tier-2, and tier-3 cities. Data can show differences in product feature demand, brand perception, or price sensitivity by city tier.

2.2 Cultural and Lifestyle Considerations

Preferences are influenced by local customs, holidays, and lifestyles. Brands can use data to tailor offerings that resonate with regional values and seasonal demand cycles.


3. Data-Driven Product Optimization

3.1 Feature Prioritization

Consumer preference data identifies high-value features for development or enhancement. Brands can focus resources on elements that drive adoption and satisfaction.

3.2 Product Bundling and Personalization

Preference insights help create bundles or personalized offerings. This increases perceived value and encourages larger purchases or repeat engagement.


4. Marketing and Communication Strategy

4.1 Message Customization

Insights guide tone, visuals, and content themes for campaigns. Aligning messaging with local preferences boosts engagement, brand recall, and conversion.

4.2 Influencer and Social Media Strategy

Analyzing preference data helps select suitable influencers, content formats, and platforms. Brands can maximize campaign impact by matching influencers to audience interests.


Case Study: Japanese Baby Care Brand

A Japanese baby care company analyzed survey and e-commerce preference data across tier-1 and tier-2 cities. Results indicated strong interest in hypoallergenic and eco-friendly products, with a preference for smaller, travel-friendly packaging. Using this data, the brand tailored products, launched Red influencer campaigns highlighting eco-safety, and adjusted price tiers. Within two quarters, the brand saw a 44% increase in online engagement and a 36% boost in e-commerce sales.


PLTFRM is an international brand consulting agency that works with companies such as Red, TikTok, Tmall, Baidu, and other well-known Chinese internet e-commerce platforms. We have been working with Chile Cherries for many years, reaching Chinese consumers in depth through different platforms and realizing that Chile Cherries’ exports in China account for 97% of the total exports in Asia. Contact us, and we will help you find the best China e-commerce platform for you. Search PLTFRM for a free consultation!
info@pltfrm.cn
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