(Source: https://pltfrm.com.cn)
Introduction
Collecting survey data in China is easy — turning it into revenue is hard. Most overseas brands stop at basic crosstabs and miss the hidden drivers that move billions in spending. These are the five advanced analysis techniques that top agencies now use to extract million-dollar insights from ordinary survey data.
1. MaxDiff + TURF Analysis for Portfolio Optimization
1.1 Beyond Top-2-Box Scores MaxDiff forces respondents to choose the most and least important features among sets of 4–6 items, delivering ratio-level importance scores 5× more accurate than Likert scales.
1.2 TURF for Line Extension Decisions Total Unduplicated Reach and Frequency analysis reveals which combination of 3–5 SKUs reaches the maximum number of buyers — critical when Tmall charges per additional SKU.
2. Key Driver Analysis with Shapley Value Regression
2.1 Moving Past Simple Correlation Shapley Value regression fairly distributes explanatory power among 20–30 attributes, showing that “imported from original country” explains 41% of purchase intent for overseas skincare while price only explains 9%.
2.2 Real-Time Dashboard Integration Results feed directly into pricing and messaging playbooks used by sales teams on the ground.
3. Segmentation Using Two-Step Cluster + Latent Class
3.1 Combining Attitudinal and Behavioral Variables Two-step clustering on 1,500+ respondents creates natural segments that differ both in mindset and actual spending on Tmall/JD in the past 6 months.
3.2 Predictive Segment Sizing Latent Class models estimate true population size of each segment using platform transaction benchmarks.
4. Conjoint-Derived Price Sensitivity with HB Estimation
4.1 Hierarchical Bayes for Individual-Level Utilities HB modeling processes 3,000+ choice tasks in under 6 hours, delivering personal willingness-to-pay curves for every respondent.
4.2 Market Simulation at Scale Simulators instantly show share loss if price increases RMB 50 versus adding “Dermatologist Tested” claim.
5. Text Analytics on Open-Ends at China Speed
5.1 Chinese NLP Trained on Local Slang Custom models understand “种草”“翻车”“真香” and extract sentiment with 94% accuracy from thousands of open-end comments.
5.2 Automated Insight Reports Daily word clouds and emerging theme alerts keep product teams ahead of shifting consumer language.
Case Study: Australian Wine Brand – From 38% to 79% Forecast Accuracy
An Australian winery ran a 4,000-sample survey using all five techniques above with PLTFRM. Key driver analysis showed “female gifting occasion” was 3.2× more important than vintage year. New RMB 299–399 gift-box range was launched on Tmall + Xiaohongshu; first-month sales hit 79% of 12-month forecast in just 28 days.
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!
