可视化数据分析在广告色彩策略优化中的应用  

Application of Visual Data Analysis in Optimizing Advertising Color Strategy

作　　者：张应华[1] Zhang Yinghua(Guangzhou City Construction College)

机构地区：[1]广州城建职业学院

出　　处：《色彩》2024年第7期28-31,共4页Color

摘　　要：随着数字媒体技术的快速发展,广告行业面临前所未有的竞争压力,如何在海量信息中吸引消费者的注意力成为关键。色彩作为广告设计的重要元素之一,对广告的吸引力和传达品牌信息的能力有着显著影响。然而,色彩策略的制定依赖于设计师的经验和个人直觉,缺乏科学的数据支持。本文探讨将可视化数据分析应用于广告色彩策略优化的可能性,以期通过数据驱动的方法提升广告效果。With the rapid development of digital media technology,the advertising industry is facing unprecedented competitive pressure,and how to attract consumers'attention in the vast amount of information has become the key.Color,as one of the important elements in advertising design,has a significant impact on the attractiveness of advertisements and the ability to convey brand information.However,the formulation of color strategies relies on the designer's experience and personal intuition,lacking scientific data support.This article explores the possibility of applying visual data analysis to optimize advertising color strategies,with the aim of improving advertising effectiveness through data-driven methods.

关 键 词：可视化分析 广告色彩策略 数据挖掘 消费者行为 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] J524[自动化与计算机技术—计算机科学与技术]