PredSearch | Web Search Data | Sweden | Amazon, Google, TikTok - 2 years coverage, +3k search ...

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网页搜索数据可支撑以下多行业的应用场景：

线上零售与实体零售
- 基于市场网页搜索需求挖掘渗透不足的价值池：对比头部电商平台与客户自有平台的市场需求差异。
- 依托数据深度（细分赛道）开展自有品牌产品开发的新趋势侦测。
- 对比用户登录与未登录状态下的搜索体验：优化因无法基于用户过往购买行为适配内容而导致的转化率提升方案。
- 匹配本地特色商品品类与总部商品目录导向（例如：避免加拿大地区展示与美国完全一致的商品目录）。
- 基于搜索词与商品目录的匹配度，拓展新兴市场。

消费品牌
- 基于增长型搜索赛道获取产品开发洞察，涵盖现有竞争格局分析。
- 依托搜索数据的细粒度与深度（大型市场中，单市场/单品类每周覆盖超2.5万个搜索词），实现极早期趋势侦测。

对冲基金与量化另类投资
- 识别各市场中特定公开交易品牌的搜索量大幅波动情况，及其在股市中的预期阿尔法（alpha）收益。

数字营销与数据智能代理商
- 分品类/分市场的点击份额（Click Share）与转化份额（Conversion Share）分析。
- 关联搜索词与用户购买意向的本地特色行为洞察。

预测AI模型
- 按搜索量排序的历史搜索关键词，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%
* 网页搜索数据具备极高细粒度与深度
* 支持按日、周、月、季度维度进行数据聚合
* 可在数据产生后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
* 覆盖长达2年的历史数据
* 可灵活适配新兴市场与商业网站的探索需求

数据采集技术整合了以下三类方式：
1. 网络爬虫（Webscrapping）
2. 应用程序编程接口（API）
3. 众包数据（Crowdsourced data）
所有技术均整合为覆盖各市场的统一主数据表。