PredSearch | Web Search Data | Spain | Amazon, Google, TikTok - 2 years historic coverage, +100k ...

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以下行业应用场景：

在线零售与实体零售
- 市场网络搜索数据需求可推演渗透不足的价值池：对比头部电商网站与客户自有网站的市场需求。
- 基于数据深度（细分利基市场）开展自有品牌产品开发的新趋势侦测。
- 客户登录与未登录状态下的搜索体验优化：在无法基于过往购买记录适配内容时，可提升未登录用户的转化率。
- 本地化产品组合与中央目录导向的适配（即避免在加拿大展示与美国完全一致的商品目录）。
- 基于搜索相关性向新市场拓展。

消费品牌
- 基于增长型搜索细分市场的产品开发洞察，包含现有竞品分析。
- 依托搜索数据的细粒度与深度（大型市场每周每市场/分类下超2.5万条搜索词），实现极早期趋势侦测。

对冲基金与量化另类投资
- 识别跨市场的特定上市品牌搜索量的大幅涨跌，及其在股票市场的预期阿尔法（alpha）收益。

数字营销与数据智能代理商
- 按分类/市场划分的点击份额（Click Share）与转化份额（Conversion Share）分析。
- 与搜索词相关的本地化购买意向行为。

预测AI模型
- 按搜索量排序的历史搜索关键词，可用于训练搜索预测类AI模型。

PredSearch数据的独特性：
* 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、季度粒度进行聚合
* 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2年的历史数据覆盖范围
* 可灵活拓展至新市场与商业网站

数据采集技术组合如下：
1. 网络爬虫（Webscrapping）
2. 应用程序编程接口（API）
3. 众包数据
所有技术整合为针对各市场的主数据表。

搜集汇总

背景与挑战

背景概述

该数据集提供西班牙市场两年内Amazon、Google、TikTok等平台的网页搜索数据，具有高精度和细粒度特点，支持零售、品牌、金融等多行业应用。数据可通过多种技术采集，并按日/周/月/季度灵活分组交付。