公司规模
11-200
地区
- America
国家
- United States
产品
- Looker
- Segment Warehouses
技术栈
- Redshift
- SQL
实施规模
- Enterprise-wide Deployment
影响指标
- Customer Satisfaction
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 数据即服务
- 分析与建模 - 实时分析
适用行业
- 消费品
适用功能
- 商业运营
- 销售与市场营销
用例
- 需求计划与预测
- 实时定位系统 (RTLS)
服务
- 数据科学服务
关于客户
Hipcamp was founded in 2013 to simplify the process of finding the perfect campsite. The platform allows users to search, discover, and book a wide range of campsites across the United States, including ranches, farms, vineyards, and nature preserves, as well as public parks and campgrounds. Hipcamp is a leader in the “land sharing” movement, connecting landowners who want to keep their land undeveloped with responsible, ecologically minded campers. The revenue from camping funds the conservation of the land, so everyone benefits. The company relies on data to manage every aspect of its online business, from customer acquisition to financial performance.
挑战
Hipcamp, an online platform for discovering and booking campsites, was facing challenges in accessing comprehensive data to understand their customers’ experience. The company was using a set of special-purpose analytics tools to track web events and visualize behavioral trends, each with its own database. This resulted in inconsistent data across the different tools, making it hard to understand exactly where the data conflicts came from. To access financial data, engineers had to write manual SQL queries and it was impossible to handle common exceptions such as partial refunds and promotions. The company’s marketers were unable to identify unique visitors across multiple devices or tie anonymous visits to customer transactions. This meant that they couldn’t accurately manage the customer acquisition funnel, and were left to guess what was working and where they should improve.
解决方案
Hipcamp first used Segment Warehouses to consolidate and streamline the collection and management of their web event data. With Segment, a single API captures data and trends for a variety of analytics tools in the form that each tool needs, writing the data into separate, event specific tables in a Redshift instance. This allowed the engineers to aggregate data used by three different analytics tools and easily validate data integrity across the tools. Next, Hipcamp introduced Looker. Since Looker connected directly to their database, Hipcamp could seamlessly link information across their data sources without the overhead of typical ETL processes. Once connected, Looker provided users with a centralized platform to define and access customized business metrics. An even happier discovery was Looker Blocks, analytical templates that make it fast and easy to set up specific functions. Using Looker’s Segment Block, a single Hipcamp engineer was able to complete the integration with Segment and set up a custom, dynamic view of the customer acquisition funnel— in days rather than weeks or months.
运营影响
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