Dollar Shave Club Gets an Edge With Looker
Company Size
11-200
Region
- America
Country
- United States
Product
- Looker
Tech Stack
- MySQL
- Amazon Web Services
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
Applicable Functions
- Sales & Marketing
Use Cases
- Predictive Replenishment
Services
- Data Science Services
About The Customer
Dollar Shave Club is a small e-commerce business that was launched in 2011. The company offers a subscription service for razors and other personal grooming products. They gained popularity through their viral marketing campaigns and unique business model. Despite being a small company, they were able to disrupt the men's grooming products industry, which was dominated by established retail giants. The company collects a vast amount of data about email promotions, the impact of changes to the website, volume of customer requests for help, and churn. However, they were facing challenges in utilizing this data effectively due to a bottleneck problem.
The Challenge
In early 2014, Dollar Shave Club, a small e-commerce business, was struggling to make use of the vast amount of data they were collecting. They were up against established retail giants in the men's grooming products industry and needed to leverage their data to gain a competitive edge. However, they were facing a bottleneck problem where only a few people could access the data, and everyone else had to wait to get their questions answered. This was causing delays and inefficiencies in their operations. For instance, any reports they needed would have to go through a developer named Juan, which was a time-consuming process. They were also using traditional BI tools, which were not able to fully utilize their data.
The Solution
Dollar Shave Club decided to implement Looker, a data analytics product, to solve their data bottleneck problem. The implementation process was relatively quick, taking about two weeks to implement the product and another two weeks to create data models. Dollar Shave Club runs its MySQL database in Amazon Web Services and has an SSL tunnel to a Looker appliance, managed by Looker. Today, nearly half of Dollar Shave Club’s 70 workers use Looker on either a daily or weekly basis. More than 40 percent of the staff gets a daily email created from Looker reports that includes updated data on various company stats. The company also uses Looker to track the volume of help tickets and the relationship between help requests and churn.
Operational Impact
Quantitative Benefit
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