Brian Gavin Diamonds Sees 60% Increase in Customer Checkout With Google Enhanced Ecommerce
Company Size
11-200
Region
- America
Country
- United States
Product
- Google Enhanced E-commerce
Tech Stack
- Google Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Revenue Growth
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Predictive Replenishment
- Retail Store Automation
Services
- Data Science Services
About The Customer
Brian Gavin Diamonds is a renowned jeweler based in Houston, Texas. The company specializes in custom engagement rings and is known for its signature line of cut “hearts and arrows” diamonds. The majority of its sales are conducted online, with the company's ecommerce site accounting for 95% of its sales. The company's main customers are couples aged between 18 and 45 who are shopping for engagement rings. International clients make up 20% of the company’s business. The company relies heavily on the customer service it provides over the phone to influence sales.
The Challenge
Brian Gavin Diamonds, a Texas-based jeweler specializing in custom engagement rings and known for its signature line of cut “hearts and arrows” diamonds, wanted to get a full picture of its customers’ behavior across the purchasing funnel. The company's main customers are couples ages 18 to 45 who are shopping for engagement rings. Its ecommerce site is responsible for 95% of its sales, and international clients make up 20% of the company’s business. While planning its redesign, Brian Gavin Diamonds wanted to better understand how the customer service it provided over the phone influenced customers’ decisions to purchase, with the goal of driving additional online conversions. At the same time, the company also wanted to know how customers were navigating its e-commerce site and, most importantly, if they decided to make a purchase—or not.
The Solution
Brian Gavin Diamonds has been using Google Analytics since 2009, and this summer it embraced the opportunity to implement Enhanced Ecommerce, a new feature designed to provide detailed insights into pre-purchase shopping behavior and product performance. The company wanted to use this information to enhance its customers’ experience on the site and, ultimately, help its brand perform better in a competitive landscape. It also looked to Enhanced Ecommerce to better understand how specific products were being perceived in the minds of its customers. Based on insights from Enhanced Ecommerce, Brian Gavin Diamonds decided to build a guest checkout flow specifically for customers who are on the cusp of making a purchase. As part of the site enhancement, Brian Gavin Diamonds also streamlined the features on its site to focus on those that customers use the most.
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
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
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
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.
