Luxury marketplace 1stdibs reaches new heights with Google Analytics 360
Customer Company Size
Mid-size Company
Region
- America
Country
- United States
Product
- Google Analytics 360
- Google Tag Manager 360
- Google BigQuery
Tech Stack
- Google Analytics
- Google BigQuery
- Google Tag Manager
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
- Analytics & Modeling - Big Data Analytics
Applicable Industries
- Retail
- E-Commerce
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Supply Chain Visibility
- Inventory Management
Services
- Data Science Services
- System Integration
About The Customer
1stdibs.com is a global destination for the best in furniture, fine art, vintage fashion, and jewelry. The company set out to revolutionize a classic old-world industry by connecting the world’s finest dealers with discerning buyers online. As business grew, 1stdibs realized that it would need a broader and deeper understanding of e-commerce customers and the marketplace. The company is headquartered in New York, New York and brings together more than 2,000 of the world’s finest dealers in furniture, fine art, and collectibles with a curated inventory available nowhere else online.
The Challenge
1stdibs.com, a global destination for the best in furniture, fine art, vintage fashion, and jewelry, was looking to revolutionize a classic old-world industry by connecting the world’s finest dealers with discerning buyers online. As business grew, 1stdibs realized that it would need a broader and deeper understanding of e-commerce customers and the marketplace. The company needed a scalable infrastructure to collect, process, store, and visualize data. It also needed to recruit analytics talent and build a culture in which data was at the heart of the business. The company was using Google Analytics to collect and analyze data, but knew they were just scratching the surface. Without a solid attribution strategy, the marketing team didn’t know what it cost to acquire a customer. The team had no way to measure the effectiveness of cross-channel programs.
The Solution
Cardinal Path, a Google Analytics 360 authorized reseller, helped plan and deploy a custom solution for 1stdibs with Google Analytics 360, Google Tag Manager 360, and Google BigQuery. Cardinal Path first helped 1stdibs explore and document stakeholder objectives. Then, they established data frameworks and key performance indicators (KPIs) to measure both failures and successes clearly. Implementing Analytics 360 gave the 1stdibs team a wide-angle view of their business. With Analytics 360, 1stdibs used Universal Analytics and took advantage of custom dimensions. 1stdibs created dozens of new customer, session, and product attributes. The company can measure traffic and goal conversion among customer groups like design professionals or VIPs to understand behavior patterns and tailor the on-site experience to their needs. Custom data also helps 1stdibs find and identify new prospects, delivering the right message to the right person at just the right time.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Improving Production Line Efficiency with Ethernet Micro RTU Controller
Moxa was asked to provide a connectivity solution for one of the world's leading cosmetics companies. This multinational corporation, with retail presence in 130 countries, 23 global braches, and over 66,000 employees, sought to improve the efficiency of their production process by migrating from manual monitoring to an automatic productivity monitoring system. The production line was being monitored by ABB Real-TPI, a factory information system that offers data collection and analysis to improve plant efficiency. Due to software limitations, the customer needed an OPC server and a corresponding I/O solution to collect data from additional sensor devices for the Real-TPI system. The goal is to enable the factory information system to more thoroughly collect data from every corner of the production line. This will improve its ability to measure Overall Equipment Effectiveness (OEE) and translate into increased production efficiencies. System Requirements • Instant status updates while still consuming minimal bandwidth to relieve strain on limited factory networks • Interoperable with ABB Real-TPI • Small form factor appropriate for deployment where space is scarce • Remote software management and configuration to simplify operations
Case Study
Digital Retail Security Solutions
Sennco wanted to help its retail customers increase sales and profits by developing an innovative alarm system as opposed to conventional connected alarms that are permanently tethered to display products. These traditional security systems were cumbersome and intrusive to the customer shopping experience. Additionally, they provided no useful data or analytics.
Case Study
How Sirqul’s IoT Platform is Crafting Carrefour’s New In-Store Experiences
Carrefour Taiwan’s goal is to be completely digital by end of 2018. Out-dated manual methods for analysis and assumptions limited Carrefour’s ability to change the customer experience and were void of real-time decision-making capabilities. Rather than relying solely on sales data, assumptions, and disparate systems, Carrefour Taiwan’s CEO led an initiative to find a connected IoT solution that could give the team the ability to make real-time changes and more informed decisions. Prior to implementing, Carrefour struggled to address their conversion rates and did not have the proper insights into the customer decision-making process nor how to make an immediate impact without losing customer confidence.
Case Study
Ensures Cold Milk in Your Supermarket
As of 2014, AK-Centralen has over 1,500 Danish supermarkets equipped, and utilizes 16 operators, and is open 24 hours a day, 365 days a year. AK-Centralen needed the ability to monitor the cooling alarms from around the country, 24 hours a day, 365 days a year. Each and every time the door to a milk cooler or a freezer does not close properly, an alarm goes off on a computer screen in a control building in southwestern Odense. This type of alarm will go off approximately 140,000 times per year, equating to roughly 400 alarms in a 24-hour period. Should an alarm go off, then there is only a limited amount of time to act before dairy products or frozen pizza must be disposed of, and this type of waste can quickly start to cost a supermarket a great deal of money.
Case Study
Supermarket Energy Savings
The client had previously deployed a one-meter-per-store monitoring program. Given the manner in which energy consumption changes with external temperature, hour of the day, day of week and month of year, a single meter solution lacked the ability to detect the difference between a true problem and a changing store environment. Most importantly, a single meter solution could never identify root cause of energy consumption changes. This approach never reduced the number of truck-rolls or man-hours required to find and resolve issues.
