Can google trends improve sales forecasts on a product level?
Can google trends improve sales forecasts on a product level?
复制标题
DOI：
10.1080/13504851.2019.1686110
复制
发表时间：
2019-11-03
影响因子：
1.6
通讯作者：
Ullmann, Georg
中科院分区：
文献类型：
--
作者：
Fritzsch, Benjamin;Wenger, Kai;Ullmann, Georg
将标准时间序列模型与搜索查询数据相结合有助于预测销售。我们将公司的搜索量以及谷歌趋势提供的与产品相关的关键词作为模型中的新预测因子来预测产品级别的销售。使用音频公司 Sennheiser 的两款产品从 2015 年 1 月到 2016 年 12 月的每周数据，我们发现有证据表明使用 Google Trends 数据可以增强传统模型的预测性能。
Combining standard time series models with search query data can be helpful in predicting sales. We include the search volume of company as well as product-related keywords provided by Google Trends as new predictors in models to forecast sales on a product level. Using weekly data from January 2015 to December 2016 of two products of the audio company Sennheiser we find evidence that using Google Trends data can enhance the prediction performance of conventional models.