Yanjin Puzi
40% time reduction in market research with Analytics+
The Challenge
Yanjin Puzi, a leading Chinese snack food company known for products like konjac vegetarian tripe, faced three interconnected data challenges as it scaled. Its market research team relied on traditional survey methods with 15-to-30-day turnaround cycles that could not keep pace with fast-moving social media trends or real-time competitor activity.
Meanwhile, the e-commerce operations team managed sales across JD.com, Taobao/Tmall, and Douyin with no unified analytics layer. Monthly reporting required manual data consolidation from multiple systems, consuming roughly eight hours per week and introducing frequent errors. The new product development team, including a newly formed Gift Box Division, lacked consumer demand data to guide product decisions and was relying heavily on experience-based judgment with low success rates.
The MooJing Solution
MooJing deployed a tailored combination of Social Listening, E-commerce Listening, and Analytics+ across Yanjin Puzi's three core departments. For the market research team, Social Listening provided real-time coverage of mainstream video platforms and forums, with AI-powered brand term extraction and automated competitor buzz tracking.
For e-commerce operations, Analytics+ served as a unified data layer connecting sales data from JD.com, Taobao/Tmall, and Douyin into a single query interface. The platform included flexible data permission configuration so the team could scale access up or down as budgets shifted.
For new product development, E-commerce Listening parsed and tagged review text to surface consumer pain points and complaints at the product attribute level, paired with custom analysis reports for demand forecasting and competitor new product monitoring.
The Results
The market research cycle compressed from 15-30 days to real-time monitoring, reducing monthly report production time by 40%. E-commerce data integration time dropped from eight hours per week to two hours, a 75% efficiency gain. Multi-platform comparative analysis drove optimized resource allocation, lifting ROI on core categories by 15%.
Two new products developed using consumer demand data achieved top-three market share among comparable products within three months of launch. The Gift Box Division leveraged market demand analysis reports to define product positioning two months faster than planned. Product iteration cycles shortened from three months to 1.5 months, and consumer satisfaction scores improved by 20%.
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