×
Community Blog Quick BI x Pechoin: Data-Driven Bloom

Quick BI x Pechoin: Data-Driven Bloom

This article shows how Quick BI revitalized PECHOIN’s membership program, boosting sales, conversions and user reactivation.

👉 Join Quick BI User Community! Accept Your Invitation

👉 Explore Quick BI Now!

👉 Retrieve 30-Day Free Trial with Unlimited Token


Client Overview:

Founded in 1931, PECHOIN is a heritage Chinese skincare house that blends botanical science with modern dermatological research. With more than nine decades of brand equity and a portfolio rooted in its “Scientific New Herbal” positioning, PECHOIN commands a broad omni-channel presence, serving tens of millions of beauty consumers across e-commerce platforms, social media and offline retail. As competition in China’s cosmetics market intensified, the brand sought to deepen customer lifetime value, particularly during the high-stakes “Double 11” shopping festival, by elevating membership performance and optimizing marketing spend across public- and private-domain traffic.

“How can we set precise selection criteria among existing customers and members to pinpoint the truly valuable opportunities?”

PECHOIN

1

Problem Statement:

Ahead of Double 11, PECHOIN’s legacy segmentation and manual campaign workflows could not keep pace with the surge of customer data generated across multiple touchpoints. The team lacked a unified view of member tenure, purchase cadence and engagement, making it difficult to identify high-value segments and allocate budgets efficiently. As a result, acquisition costs rose, dormant users remained untapped, and the conversion of loyal but non-member shoppers stagnated, threatening both revenue growth and marketing ROI.

2

Solution Implemented:

PECHOIN deployed Lingyang’s intelligent BI platform, integrating AI-driven customer analytics, automated tagging and real-time dashboards. Historical order data, click-stream events and CRM attributes were ingested, cleansed and modeled into 30 nuanced micro-segments based on join date, order interval, ARPU, activity and propensity scores. Machine-learning algorithms predicted conversion likelihood, recommended next-best offers and visualized ROI by cohort.

Implementation followed an agile, two-track roadmap. Track 1 focused on quick-win dashboards for member reactivation and non-member on-boarding; Track 2 fused public-domain media data with PECHOIN’s private traffic to expose cost disparities and refine bidding strategies. The stack leveraged cloud-native ETL, a columnar data warehouse and Lingyang’s DAAS APIs, enabling marketers to test, iterate and launch campaigns within hours instead of weeks.

3

Outcomes Achieved:

During the Double 11 campaign, member-generated GMV rose by 15 percent year-on-year, reaching the highest share in brand history. The conversion rate of loyal, non-member customers into membership jumped 168 percent, while the activation rate of previously dormant segments improved 66 percent. Marketing spend was re-balanced toward high-ROI cohorts, delivering measurable budget savings and faster decision cycles. Beyond the festival, PECHOIN reports streamlined analytics workflows and greater confidence in data-driven growth initiatives, reinforcing its position as a leading digitally native beauty brand.

4

0 1 0
Share on

Alibaba Cloud Community

1,530 posts | 514 followers

You may also like

Comments

Alibaba Cloud Community

1,530 posts | 514 followers

Related Products