Business Challenges

  • Fragmented channel data, high management cost

    Online and offline data are independent of each other, which is not conducive to understanding customer needs. After offline activities, continuous interaction is not possible, and manual data processing in the later period is prone to errors and high management costs.

    Online and offline data are independent of each other, which is not conducive to understanding customer needs. After offline activities, continuous interaction is not possible, and manual data processing in the later period is prone to errors and high management costs.

  • Lack of closed-loop marketing and sales

    Information is asynchronous during leads transfer, affecting the monetization efficiency. It was difficult to trace the source of various channel data and evaluate ROI. Marketing effect data was not available for optimizing marketing strategies.

    Information is asynchronous during leads transfer, affecting the monetization efficiency. It was difficult to trace the source of various channel data and evaluate ROI. Marketing effect data was not available for optimizing marketing strategies.

  • Imprecise reach, single touch point

    The traditional method made it impossible to identify the user lifecycle or offer personalized marketing. One single touch point cannot cover user groups with different behaviors and habits, which seriously affects interaction.

    The traditional method made it impossible to identify the user lifecycle or offer personalized marketing. One single touch point cannot cover user groups with different behaviors and habits, which seriously affects interaction.

  • Incomplete user profile, lack of user insight

    User profiles are incomplete, and companies lack active methods for collecting and analyzing user interactions on multiple platforms. All users are approached using an unvaried method, which seriously affects experience.

    User profiles are incomplete, and companies lack active methods for collecting and analyzing user interactions on multiple platforms. All users are approached using an unvaried method, which seriously affects experience.

Solution Overview

Typical Scenarios

  • Omni-channel data integration

    Efficiently integrate omni-channel data, filter out invalid data, and help companies precipitate customer data.

  • Customer profile system

    Provide customized user tags and scoring systems to help companies build user matrixes and user profiles.

  • Multi-channel precise reach

    The marketing journey module helps companies automatically nurture low-scoring leads, accelerate the conversion of high-scoring potential customers, and interact with users through multiple touch points.

  • Closed-loop marketing and sales

    Track and measure business impact with dashboards and reports, continuously optimizing marketing strategies.

Recommended Services

Contact a dedicated account manager to customize your solution.

Recommended Partner

  • Dmartech Cloud Service

    DmartechForce was established in 2014. As an omni-channel intelligent membership marketing service provider, DmartechForce provides enterprises with marketing services ranging from omni-channel data connection, marketing automation, multi-dimensional data analysis to scenario applications and customized development, helping B2B companies become digitally empowered and grow their business.

Contact us and become a HUAWEI CLOUD partner in marketing automation.

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