Online Food Retailer Slices and Dices Shopping Cart Abandon Rates to increase e-commerce sales by 70% in key regions
Company Size
11-200
Region
- America
- Europe
Country
- Spain
- United States
Product
- Google Analytics
Tech Stack
- Event Tracking
- Advanced Segments Custom Reports
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Revenue Growth
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Food & Beverage
- Retail
Applicable Functions
- Sales & Marketing
Use Cases
- Demand Planning & Forecasting
- Supply Chain Visibility
Services
- Data Science Services
About The Customer
LaTienda is an award-winning, family-owned business supporting artisanal firms in Spain. The firm works with small family-run businesses, many of which are dedicated to centuries-old food-making traditions. With warehouses in Williamsburg, Virginia and Alicante, Spain, the company ships hundreds of thousands of orders throughout the United States, Canada and Europe. LaTienda’s brand equity is built on its fundamental commitment to the customer experience. They guarantee a positive experience for its customers – quality products delivered in excellent condition, or they will replace or refund the purchase.
The Challenge
LaTienda, an award-winning, family-owned business supporting artisanal firms in Spain, was looking for opportunities to grow sales. They had been seeing great success with their online orders, but they wanted to understand the impact on sales of varying shipping rates for a subset of products. They knew that a key product category required more expensive shipping methods if it was too far from LaTienda’s Virginia warehouse. They grouped visitors into two regions: Region A visitors were close enough to the warehouse to always get reasonable shipping costs. Region B visitors were everywhere else, and had to use a more expensive shipping method for the key product category.
The Solution
To measure the impact on sales whenever one of the key products was placed in the cart, they installed Event Tracking to the “Add To Cart” buttons on every product page. They then used Advanced Segments Custom Reports to separate visitors in Region A from Region B, and drilled down to view performance by product category. Visitors from Region B were found to be 48% less likely to purchase if they placed an item from the key product category in their cart, which raised total shipping costs. To combat this effect, LaTienda.com implemented a less expensive, flat rate shipping model in region B and monitored sales.
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
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Case Study
HEINEKEN Uses the Cloud to Reach 10.5 Million Consumers
For 2012 campaign, the Bond promotion, it planned to launch the campaign at the same time everywhere on the planet. That created unprecedented challenges for HEINEKEN—nowhere more so than in its technology operation. The primary digital content for the campaign was a 100-megabyte movie that had to play flawlessly for millions of viewers worldwide. After all, Bond never fails. No one was going to tolerate a technology failure that might bruise his brand.Previously, HEINEKEN had supported digital media at its outsourced datacenter. But that datacenter lacked the computing resources HEINEKEN needed, and building them—especially to support peak traffic that would total millions of simultaneous hits—would have been both time-consuming and expensive. Nor would it have provided the geographic reach that HEINEKEN needed to minimize latency worldwide.
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
Energy Management System at Sugar Industry
The company wanted to use the information from the system to claim under the renewable energy certificate scheme. The benefit to the company under the renewable energy certificates is Rs 75 million a year. To enable the above, an end-to-end solution for load monitoring, consumption monitoring, online data monitoring, automatic meter data acquisition which can be exported to SAP and other applications is required.
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.
