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Campaign is a frequently employed instrument in lifting up the GMV (GrossMerchandise Volume) of retailer in traditional marketing. As its counterpart inonline context, digital-marketing-campaign (DMC) has being trending in recentyears with the rapid development of the e-commerce. However, how to empowermassive sellers on the online retailing platform the capacity of applyingcombined multiple digital marketing campaigns to boost their shops' revenue, isstill a novel topic. In this work, a comprehensive solution of generatingoptimized combined multiple DMCs is presented. Firstly, a potentialpersonalized DMC pool is generated for every retailer by a newly proposedneural network model, i.e. the DMCNet (Digital-Marketing-Campaign Net).Secondly, based on the sub-modular optimization theory and the DMC pool byDMCNet, the generated combined multiple DMCs are ranked with respect to theirrevenue generation strength then the top three ranked campaigns are returned tothe sellers' back-end management system, so that retailers can set combinedmultiple DMCs for their online shops just in one-shot. Real online A/B-testshows that with the integrated solution, sellers of the online retailingplatform increase their shops' GMVs with approximately 6$\%$.

Boosting Retailer Revenue by Generated Optimized Combined Multiple Digital Marketing Campaigns