Big Data-Driven Content Marketing
LI-NING E-commerce Platform On-site Marketing Project
Big Data-Driven Content Marketing
LI-NING E-commerce Platform On-site Marketing Project

Background Objectives

In today's market where Nike and Adidas dominate the trend of sports and leisure, how can a domestic brand change consumers' traditional perceptions and shape LI-NING into a Chinese streetwear brand that influences consumer decisions? — In addition to commercial advertising, the brand also needs to deepen user impressions. Therefore, LI-NING's marketing goal is to expand the brand exposure on e-commerce platforms, increase traffic to the store, and simultaneously boost sales.

Strategic Implementation

【Data Analysis】 Based on the positioning of LI-NING's flagship store on the e-commerce platform, guide the communication direction and content goals. Utilize our independently developed data insight system to analyze the current state of industry content placement and KOL status. Guide KOL selection, content curation, and tag layout.【Creative Strategy】 Plan different content themes for each platform activity node. Tailor high-frequency keywords and various forms of content, including images, text, and videos, based on each KOL's fan base and the promoted products.【Optimized Placement】 Choose suitable influencers and content channels. Continuously track the effectiveness of brand and competitor placements in real time. Adjust content and optimize the influencer matrix accordingly.
Performance Explanation
In line with LI-NING's "National Trend" positioning, we planned 40 communication topics to overturn the perception of LI-NING as affordable and ordinary, transforming the purchasing experience. Leveraging influencers' fashion styles and collaborating with popular IPs, we aimed to shape a new image for LI-NING that is "trendy" and "cool." During the service period, promotions were conducted for four stores, covering the entire purchase process. The campaign resulted in a total of 417 products sold, reaching 12.4 million reads, 186,000 in-store visits, and successfully driving nearly 400,000RMB in transactions, surpassing the initial KPI targets.

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