月狐数据
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月狐数据

Comprehensive brand data, reliable market insight

    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

    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

    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

    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

    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

    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

    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

    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

Multi-dimensional Data System

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

  • 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 nationwide with the number increasing

    Data sources are based on LBS and WiFi to guarantee stability and reliability

    Historical data tracking and queries are supported for a comprehensive comparison of brand development trends

  • 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

    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

    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