iResearch accumulates data and anlysis experience in online shopping for many years.Also, we can dram an vivid portrait for online shoppers in China. We use purchasing data to analyze online shoppers,especially order data which truely reflect shoopers' demand, prefference and inclination.In this way, we can know their lifestyle.And it is no doubt that we can learn about the markets.
What we can do via studying the eShopper Portraits?
Lock in the market white space for a new developing product;
Refine the proposition for an existing product to meet the Shoppers’ needs;
Learn and manage the market dynamics during the product’s whole life cycle.
Research content & method
Measurement scope: Taobao, Tmall (including flagship stores, exclusive stores, supermarket, Tmall global); and other platforms (Jingdong, etc.) to be developed;
Retrospective time: As early as 2015;
Data dimension:
1. Demographics
Gender, age & location and concentration analysis
2.1 Target product purchase behavior
Ranking of target categories by purchase rate, and brand competition landscape;
TOP SKU attribute analysis
Price, specifications, product forms, attributes of popular products;
2.2 Associated purchase
Associated purchase by sub-category;
Cross-category associated purchase;
Product attributes of associated purchase;
Consumer tiers based on cross-category purchase behaviors;
Consumer portraits and comparison by competitive brands
3. Media behavior (coming soon)
Websites frequently visited by target group
APPs frequently used by target group
Social behaviors and advertorials
Data source: Research big data platform, data collected by iResearch’s crawlers, iResearch’s sample measurements, data from telecom partners, order data of target group collected through cross-category association.
Lock in the market white space for a new developing product;
Refine the proposition for an existing product to meet the Shoppers’ needs;
Learn and manage the market dynamics during the product’s whole life cycle.

Measurement scope: Taobao, Tmall (including flagship stores, exclusive stores, supermarket, Tmall global); and other platforms (Jingdong, etc.) to be developed;
Retrospective time: As early as 2015;
Data dimension:
1. Demographics
Gender, age & location and concentration analysis

Ranking of target categories by purchase rate, and brand competition landscape;
TOP SKU attribute analysis
Price, specifications, product forms, attributes of popular products;

Associated purchase by sub-category;
Cross-category associated purchase;
Product attributes of associated purchase;
Consumer tiers based on cross-category purchase behaviors;
Consumer portraits and comparison by competitive brands

Websites frequently visited by target group
APPs frequently used by target group
Social behaviors and advertorials
