Travel, Entertainment, and Hospitality Data

Merkle is a data aggregator. We take an analytic quantitative approach leveraging our Data Valuation Lab, a rigorous analytical framework used to evaluate and bring together data sources from across the entirety of the data marketplace. DataSource™ merges more than 40 distinct data inputs selected from a field of several hundred providers, tested over the 25-year history of the product. For each data category, Merkle leverages the Data Valuation Lab to isolate the best source of data on the market and supplement it with additional inputs to maximize coverage and consensus, ultimately resulting in a superior solution. Merkle grades this work based on a battery of statistical measures and continuous input from Merkle's acclaimed analytics team and performance marketer clients to optimize our offering. Because of this unyieldingly rigorous methodology, DataSource™ consistently outperforms competitive offerings based on back-testing and in-market results. Also built using our proprietary Data Valuation Lab process to assess and bring together industry-leading data are Merkle's B2B Connect and specialty data products, such as Merkury Life Events.

Sample Tables Include:
-Premium Lifestyle
-Premium Wealth
-DataSource™ Core
-Customer Propensity Scores

Sample Fields Include:
-Domestic Travel
-Foreign Travel
-Cruises
-Children Activities
-Family
-Travel – Business
-Upscale Hotels (Propensity)
-Trips Taken ($1000+) (Propensity)

Merkle是一家专业数据聚合商。我们采用分析量化方法，依托数据估值实验室（Data Valuation Lab）这一严谨的分析框架，对整个数据市场中的各类数据源开展评估与整合工作。DataSource™整合了逾40个独立数据输入源，这些数据源从数百家供应商中遴选而出，并经过该产品25年发展历程的持续验证。针对每一类数据品类，Merkle均通过数据估值实验室筛选出市场上最优的数据来源，辅以额外输入以最大化覆盖范围与共识度，最终打造出更优质的解决方案。Merkle依托一系列统计指标，以及其广受赞誉的分析团队与效果营销客户的持续反馈，对该项工作进行评分优化，以完善产品服务。凭借这一严苛严谨的方法论，DataSource™在回溯测试与实际市场表现中，始终优于同类竞品。
依托专有数据估值实验室流程开发、用于评估整合行业领先数据的产品还包括Merkle的B2B Connect及Merkury Life Events等特色数据产品。

示例数据表包括：
- 高端生活方式（Premium Lifestyle）
- 高端财富（Premium Wealth）
- DataSource™核心库
- 客户倾向性评分（Customer Propensity Scores）

示例字段包括：
- 国内出行
- 境外出行
- 邮轮旅行
- 儿童活动
- 家庭情况
- 商务出行
- 高端酒店（倾向性）
- 千元以上出行次数（倾向性）