PredSearch | Web Search Data | Germany | Amazon, Google, TikTok - 2 years historic coverage, ...

PredSearch web search data support use-cases in industries like:

Online Retail & Brick and Mortar
- Market web search data demand infers underpenetrated value pools: market demand from leading websites vs. own website (client).
- New trends detection for private label product development based on data depth (niches)
- Search experience when customer is log-in vs. when is not: increasing conversion when not having the ability to adapt content based on previous purchases
- Relevant local product assortment vs. central catalogue direction (i.e., avoid showing in Canada the same catalogue than United States)
- Expansion to new markets based on search relevance to product catalogue

Consumer brands
- Product development insights based on growing search segments including existing competition analysis
- Very early trends detection due to the granularity and depth of search data (+25k terms/market/category/week in large markets)

Hedge funds and quantitative alternative investments
- Identification of high increase or decrease in search volume from particular publicly traded brands across markets, and their expected alphas in the stock market.

Digital marketing and data-intelligence agencies
- Click Share and Conversion Share analysis per category/market
- Relevant local behaviors on purchase intent linked to search terms

Predictive AI model
- Historical search keywords ranked by volume to train AI model in search predictions

Uniqueness of PredSearch data:
* 99.9% accuracy
* Very high granularity on web search data depth
* Can be grouped daily, weekly, monthly and quarterly level
* Can be delivered 48hrs after the occurrence, much faster than traditional data providers: Nielsen, Kantar, IRI
* 2-years of historic coverage
* We are flexible to explore new markets and commercial websites

Sourcing technology is a combination of:
1. Webscrapping
2. APIs
3. Crowdsourced data
All integrated into a master table per market

PredSearch网络搜索数据可支撑多行业应用场景，具体如下：

在线零售与实体零售
- 依托市场网络搜索需求数据，可推演渗透率不足的价值池：对比头部电商平台与客户自有平台的市场需求差异。
- 基于数据深度（细分赛道）挖掘自有品牌产品开发的新趋势。
- 对比用户登录与未登录状态下的搜索体验：在无法基于过往购买记录适配内容的场景下，提升未登录用户的转化率。
- 优化本地化商品组合与中央目录导向的匹配度（例如：避免加拿大地区展示与美国完全一致的商品目录）。
- 基于搜索相关性向全新市场拓展业务。

消费品牌领域
- 基于增长型搜索细分赛道获取产品开发洞察，涵盖现有竞品分析。
- 依托搜索数据的细粒度与深度（大型市场每周可覆盖超2.5万个搜索词/市场/品类），实现极早期趋势捕捉。

对冲基金与量化另类投资领域
- 识别各市场中特定公开交易品牌的搜索量大幅增减情况，及其在股票市场中的预期阿尔法收益。

数字营销与数据智能代理机构
- 开展分品类/市场的点击份额（Click Share）与转化份额（Conversion Share）分析。
- 挖掘与搜索词关联的本地化购买意向行为特征。

预测型AI模型领域
- 提供按搜索量排序的历史搜索关键词集，用于训练搜索预测类AI模型。

PredSearch数据的独特优势：
* 数据准确率达99.9%
* 网络搜索数据具备极高细粒度与深度
* 支持按日、周、月、季度维度进行数据分组聚合
* 可在事件发生后48小时内交付，远快于尼尔森（Nielsen）、凯度（Kantar）、IRI等传统数据服务商
* 拥有长达两年的历史数据覆盖范围
* 可灵活拓展至全新市场与商业网站

本数据集的采集技术整合以下三种方式：
1. 网络爬虫（Webscrapping）
2. 应用程序编程接口（API）
3. 众包数据
所有采集数据将整合为各市场的主数据表（master table）