数智营销场景大模型编织数据

依托开发者服务积累的海量数据以及自身在品牌营销领域沉淀的丰富经验、know-how、打造形成行业知识库，结合大模型学习能力，让大模型能够听得懂行话并使用行话输出它对品牌、消费人群的人文特征理解；同时使用编织技术，实现行业知识库和每日互动大数据标签特征库的打通，让大模型能够结合每日互动的数据能力，帮助品牌客户洞察细分人群的数据特征，并加速实现相似性扩量，智能定向高潜TA（是target的缩写，即目标人群的意思），即，提升TA浓度，将“对话式生成”的目标人群一键对接多种媒体平台，高效完成广告投放，大幅提升营销效能。

Based on the massive data accumulated via developer services and its accumulated rich experience and know-how in the brand marketing domain, an industry-specific knowledge base has been constructed. By integrating the learning capabilities of Large Language Models (LLMs), this system enables the LLMs to comprehend and employ industry jargon when presenting their interpretations of the humanistic traits of brands and consumer groups. Meanwhile, weaving technology is utilized to achieve seamless integration between the industry knowledge base and the daily interactive big data tag feature repository, allowing the LLMs to leverage the data capabilities of daily interactions. This helps brand customers gain insights into the data characteristics of segmented populations, accelerate similarity-based audience expansion, and intelligently target high-potential TA (short for Target Audience). Specifically, this improves TA concentration, enables one-click connection of the "conversational generation" target audiences to multiple media platforms, efficiently completes advertising deployment, and significantly enhances marketing effectiveness.

搜集汇总

背景与挑战

背景概述

该数据集结合大模型和行业知识库，用于品牌营销中的人群洞察和广告投放优化，具有每周更新的10000000条数据量，适用于AI和商业领域。