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数据赋能·共探增长 | 加和科技首场“抖音、小红书服务商赋能共创会”圆满落幕
Sou Hu Cai Jing· 2025-11-12 08:11
Core Insights - The event "From Grass Planting to Transaction" organized by Jiahe Technology in Wuhan focused on how service providers can leverage data technology to overcome growth bottlenecks in the "AI + Marketing" era [1][4] Group 1: Social Media Marketing Trends - The competition among service providers has entered a new phase of refined operations due to the deepening commercialization capabilities of platforms like Douyin and Xiaohongshu [3] - Service providers face challenges of homogenization and price wars, necessitating the construction of differentiated core competitiveness [3] - The integration of social media and e-commerce platforms blurs boundaries, making it essential for brands to establish clear conversion attribution chains for quantifiable ROI [3] Group 2: Data and Technology Empowerment - Jiahe Technology's event featured industry experts sharing insights on creating a full-chain precision marketing loop from social media to e-commerce [5] - The "DataMax" solution enables precise audience targeting, optimizing ad spend by reaching high-potential users across multiple platforms [6] - The "DataMax" attribution solution addresses the fragmentation of social media and e-commerce data, allowing for comprehensive tracking of conversion effects [7] Group 3: KOS Systematization - The KOS (Key Opinion Sales) market has significant potential but faces challenges such as task allocation confusion and inconsistent content quality [8] - Jiahe Technology's KOS management platform utilizes AI to enhance operational efficiency and scale growth through visualizing engagement and monitoring conversion results [8] Group 4: Future Initiatives - Jiahe Technology aims to create a sustainable growth strategy for partners by integrating "data + technology" to enhance core competitive advantages in intelligent marketing [10] - The company plans to continue its series of empowerment events, with the next one scheduled for early December in Hangzhou, focusing on deepening data value exploration [10]