Sigma Sport spins up 28% higher revenue with Google Optimize 360
Customer Company Size
SME
Region
- Europe
Country
- United Kingdom
Product
- Google Optimize 360
- Google Analytics 360 Suite
Tech Stack
- Google Analytics
- CRM
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Retail
Applicable Functions
- Sales & Marketing
Services
- Data Science Services
About The Customer
Sigma Sport is a global retailer that sells bicycles, clothing, energy bars, and other sports gear. The company operates both in-store and online, with its headquarters located in Kingston upon Thames, Surrey, in the United Kingdom. Sigma Sport's primary goal was to increase sales and engagement by creating a personalized homepage for its customers. The company was particularly interested in finding more customers with high potential lifetime value and knew that it needed to change its website experience to better engage these customers.
The Challenge
Sigma Sport, a global retailer of bicycles and sports gear, was looking to increase its customer base with high potential lifetime value. The company realized that it needed to change its website experience to better engage these customers. Sigma Sport's agency, Merkle | Periscopix, discovered that 40% of Sigma Sport’s returning customers came through the homepage, but less than 2% of them were using the prominent homepage carousel to browse highlighted brands. The challenge was to understand why the number was so low and how to improve the user experience to increase engagement and sales.
The Solution
Sigma Sport and Merkle | Periscopix turned to Google Optimize 360, part of the Google Analytics 360 Suite, to address this challenge. They conducted a customer journey analysis, which showed that almost half the user journeys began on the Sigma Sport homepage. However, instead of using the carousel, most users were inclined to use either the site search or the main navigation to browse within the brands they had an affinity for. Using Optimize 360, Merkle | Periscopix created an experiment where they replaced Sigma Sport’s homepage carousel with brand-specific images of the site’s three top-performing brands: Castelli, Specialized, and Assos. They then targeted the experiment to the audiences they had already built in Analytics, serving personalized experiences to fans of each brand.
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.
