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E-commerce industry solutions

Emerging vertical e-commerce platform | Increased traffic competition costs

Realize precision marketing and goods & Services matching optimization via ace data analyzation

Reduce customer acquisition costs, increase user viscosity - the cornerstone of healthy and continuous growth of e-commerce

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Business challenges for e-commerce

Channel/Behavior/Business Data is difficult to Integrate

Channel/Behavior/Business Data is difficult to Integrate

The relative isolation of all kinds of data, in addition, enterprises lack of data index system construction and data governance methodology, and there are problems such as difficult integration of event trackings, chaotic data verification, poor data governance, and insufficient data-driven power, which make it difficult to truly play the value of data.

Product update fast

Product update fast

Most e-commerce products will have content, recommendation, search and other elements, the transaction process is more flexible, and the boot method is iteratively updated. A large number of e-commerce enterprises lack the construction methodology of index system, the implementation of event tracking is complicated, and the data is inaccurate, resulting in the data availability can not keep up with the iteration speed of products.

User portrait is inaccurate

User portrait is inaccurate

Due to the lack of detailed and representative data modeling capabilities, and the lack of a rich user portrait system, enterprises can not quickly establish the user portrait and user growth system, so they can not design personalized and differentiated operation strategies, and the operation effect is general.

ROI of client channel cannot be evaluated

ROI of client channel cannot be evaluated

The flow distribution has shown an oligarchic trend, and the channel flow needs to be constantly refined through data monitoring, and frequently tested, evaluated and adjusted. Find out the source of high quality segment traffic, reduce customer acquisition cost.

Low user purchase conversion/weak stickiness/low value

Low user purchase conversion/weak stickiness/low value

The conversion rate of users brought about by high costs is extremely low and rapidly lost. Therefore, understanding the purchase path and category matching of users in products is the core issue that e-commerce enterprises need to pay attention to, thus improving the transformation and retention.

Lack of scientific testing methodology

Lack of scientific testing methodology

Product operators lack scientific testing methodology and efficient testing methods to quickly test, evaluate, and iterate against multiple strategies, and optimization efficiency is low.

E-commerce user behavior flow chart

Goods exposure
Activities | Push | Advertising
Enter
Landing page
Download
APP
Goods exposure entrance
Home Page | Search | Content Community
Goods
Detail Pages
Join
Shopping cart
Payment for purchase
Experience products

Classic business scenario solution

Scenario 1Scenario 2Scenario 3Scenario 4

usiness Scenarios | Data Requirements | Data Implementation Schemes

Common advertising channels (such as video platform, search engine, information flow), click the advertisement will jump to the landing page or product, the measurement of the channel's advertising effect is the focus of business concern. Advertising exposure, advertising clicks, in - station conversion, deep behavior conversion, core business conversion

Channel tracking data, can use the channel tracking function to generate launch links for channel tracking and attribution; Product access data, and You can use predefined events to count, as well as defined events without event tracking to count

usiness Scenarios | Data Requirements | Data Implementation Schemes

Data drives business growth

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Data drives business growth