What data do you access?

We access e-commerce data that is captured as consumers in China buy goods online. We capture information on the product they purchase, the platform they use to purchase and consumer review data. We currently access data in the food and beverage sectors, and limited data in consumer goods. We do not collect, store or use personal data of Chinese shoppers. We only capture data that is of relevance to exporters and customers of our product – we do not capture exhaustive datasets of dubious origin.

What data fields can you supply?

The data is split across two classes; Product data and Comment data. Product data relates to transactional and product information: units sold, product description, etc. Comment Data relates to the feedback, ratings, and verbatim comments left by verified purchasers.

What tools and technologies do you use to manage the data?

Our technology stack is built on the Google Cloud Platform which means our users get the benefit of all the latest tools and functionality provided by Google. We are currently working to become an official Google Technology Partner.

Data Management – The ingestion, storage, security and processing of our data is carried out on cloud infrastructure, enabling us to manage large complex flows of data at scale.

Prediction AI – The size and uniqueness of our datasets are perfect for developing novel applications of Machine Learning and AI. Our R&D team is developing a range of AI tools to bring predictive capability to our customers.

Translation AI – we work with the latest products from Google’s Machine Learning toolkits to provide the most accurate language processing and translation available today.

Why do you access the data?

Our primary goal is to help brands and products achieve growth and success within Chinese e-commerce. This means we enable exporters to make more informed decisions about exporting to China and marketing their products to Chinese consumers. We harness and analyse the data to drive commercial success.

How often do you refresh the data?

Currently we refresh data monthly, meaning data we use to create insights is current to the previous month. More frequent updating of the data may become possible in the future.

What data standards do you conform to?

Because we utilize cloud infrastructure our data complies with all the relevant best practices. We take additional steps to ensure the security and DR status of our datasets. Our production databases are build on top of bigquery – a tool that allows for extremely fast data processing at scale. Our front end is based on a serverless design – utilizing cloud functions as endpoints much like a traditional API. This has several advantages including the ease and simplicity of adding new analytical functionality for customers, and to make those endpoints available directly (API access).

What is your coverage of the e-commerce market in China?

As of April 2018 our data covers more than 75% of the Chinese e-commerce market. Collectively these platforms serve around 800 million customers. We collect data from around 60 - 100 million transactions each month representing a sales value of NZD 1.4 billion across 8,000 individual brands. We also cover sales made as part of the Singles Day event in November. On Singles Day 2018, over USD 30 billion of goods were sold.

How do you access the data?

We work with a commercial partner in China who has the rights to capture certain transactional data from e-commerce platforms. We work directly with our partner to identify and add new product categories.

How secure is the data?

We have a secure data pipeline and supporting management policies for handling the data between China and our data servers in Europe and the US. All servers conform to industry best practice for security and operations to ensure data is always available and fully backed up. Our client side security also meets industry best practice. We maintain a minimum Qualsys “A” rating for all our servers. We are fully compliant with GDPR as we do not collect or make use of consumer’s personal data.

What e-commerce platforms do you collect data from?

  • Tmall (576m users)

  • JD (350m users)

  • Yihaodian (~180m users)

  • Dangdang

  • Amazon

We are considering adding new platforms which cover more niche customer bases, such as gourmet food – contact us to have a discussion!