Using Data to Shape the Future of Industrial Internet.
Online DAU

Mobile App Data

Full-lifecycle app performance

Mini Program Data

WeChat ecosystem analytics

AI Trend

AI market & LLM tracking

Offine Traffic

Foot Traffic

Offline brand & retail insights

Data Mining

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Custom data-driven solutions

Using Data to Shape the Future of Industrial Internet.

Blog

Expert insights and data strategies

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Latest updates and milestones

iBrand (Offline Brand Data)

Improve Brand Competitiveness with Insight into Brand Performance

Comprehensive brand data, reliable market insight

Deep insight into competitive landscape of brands icon

Deep Insight into Competitive Landscape of Brands

Support multi-dimensional data such as store traffic, e-commerce sales, delivery sales, etc., helping brand owners fully understand rivals and their advantages and promptly work out effective strategies to improve brand competitiveness

Deep insight into competitive landscape of brands
Capture market trend for early strategic moves icon

Capture Market Trend for Early Strategic Moves

Show development trend of consumer industry to monitor the scale and trend of various industries and market segments such as restaurant, clothing, retail stores and new energy vehicles, plan brand business form and determine strategic moves

Capture market trend for early strategic moves
Precise profile of customers for more efficient brand promotion icon

Precise Profile of Customers for More Efficient Brand Promotion

Provide insight into user characteristics and attributes in dimensions such as basic characteristics, user geography and car ownership status, for a full understanding of user habits that helps develop precision marketing strategies

Precise profile of customers for more efficient brand promotion
Early understanding of performance to avoid competitive threats icon

Early Understanding of Performance to Avoid Competitive Threats

Brand data updated at T+2 with a unique ecosystem of online and offline data helps customers predict their own and rivals’ performance, identify competitive threats, and work out timely and effective response strategies

Early understanding of performance to avoid competitive threats

Multi-dimensional Data System

Help brand companies determine market size, understand traffic distribution of rivals, and make timely and effective strategic moves

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Offline Store

Focus on brand store data, providing timely access to brand dynamics and insight into brand development trends
Data cover 15 industries and over 300 brands nationwidewith the number increasing. Data sources are based on LBS and WiFi to guaranteestability and reliability. Historical data tracking and queries are supported for acomprehensive comparison of brand development trends
Customer Portrait icon

Customer Portrait

Precise profile of customer characteristics for targeted brand promotion strategies
Customer portraits are generated with MoonFox Label System to offer a precise, 360 view of customer characteristics. Data focus on 'who they are', 'what they are interested in' and 'what they do', for a full understanding of audience characteristics. Customer portraits can be customized on demand to facilitate brand precision operation
Delivery Monitoring icon

Delivery Monitoring

Present data from food delivery channels and monitor digitalization of restaurants
Focus on food delivery sub-industries, covering over 100 brands with the number increasing. Data come from mainstream delivery platforms, providing deep insight into the performance of delivery channels. Provide historical data tracking and queries and brand customization on demand.
E-commerce Sales icon

E-commerce Sales

Provide e-commerce sales data insight, empowering operational decision-making
Focus on e-commerce industry, covering over 50 brands with the number increasing. Data come from mainstream e-commerce platforms such as Tmall, JD for a full understanding of sales performance. Diversified data indicators such as sales volume, amount, and best sellers to effectively support operational decision-making.

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