Multi Channel Campaign Management
With the transformation of enterprise digitization and the rapid development of “cloud computing”, “Internet” and “IOT”, enterprises have built diversified and convenient channels to provide users with various intelligent services. In the era of “big data”, in order to quickly and real-time meet the personalized needs of customers, the marketing activities of enterprises have also been given new challenges. Differentiated marketing means maximize the value of each marketing activity, which makes “timing” and “precision” occupied the main position in the marketing of enterprise.
MCCM is a marketing campaign that achieves high efficiency and high performance through AI intelligence infusion and real-time event acquisition to obtain customers’ needs and thoughts. By using multi-channel collaboration and AI big data technology, various campaigns such as precise campaign, event campaign, viral campaign, batch campaign and multi-wave campaign can be achieved. In addition, after the completion of the campaign process, the closed-loop campaign evaluation can be carried out to make timely relevant responses, so as to make the integration of big data platform & data resource and the recycling of process, which let users only focus on business development and also lead to achieve the best customer experience and predict the future new opportunities.
Internet user experience
Use graphic design concept, clear and understandable interface task flow wizard, support drag-and-drop modeling operation, achieve customer graphical operation and process graphic design, make the campaign configuration interface friendly and easy to operate, let everyone can quickly build campaign process;
Carry out unified management on the execution and collaboration of business service task list, including channel distribution priority, channel multi-wave, bearing saturation, contact coordination, failure system and other synergies. Implementation of various interference principles, effective filtering rules, concurrent execution control and multi-wave sub-flow control, etc.;
Intelligent recommendation engine: Adopt big data AI technology, through the mining and application of massive data, insight into customer preferences and potential data value, to provide each user with "thousands faces of thousands people" personalized recommendation content;
Undertake big data intelligentialize, simple big data processing, provide labels, wide table and model specifications management capacity, realize data standardization management, support label extraction and model extraction, provide customer clustering for the marketing center to achieve high efficiency and flexible marketing strategy.
Hot | 2019-03-13
Hot | 2019-03-26
Hot | 2019-03-13
Hot | 2018-11-05