Macys.com sees what's in store for customers with SAS® Business Analytics
After more than 80 years in business, Macy's Inc. is one of America's most iconic retailers. With annual revenues exceeding $20 billion, Macy's enjoys a loyal base of customers who come to its stores and shop online each day. To continue its legacy of providing stellar customer service and the right selection of products, the retailer's e-commerce division – Macys.com – is using analytical software from SAS to better understand and enhance its customers' online shopping experience, while helping to increase the retailer's overall profitability.
To more effectively measure and understand the impact of its online marketing initiatives on Macy's store sales, Macys.com increased its analytical capabilities with SAS Enterprise Miner, resulting in an e-mail subscription churn reduction of 20 percent. It also uses SAS to automate report generation, saving more than $500,000 a year in comp analyst time.
Ending "one size fits all" e-mail marketing
"Customers share a lot of information with us – their likes and dislikes – and our task is to support them in return for their loyalty by providing them with what they want, instantly,'' adds Tomak. Macys.com uses Hadoop as a data platform for SAS Enterprise Miner.
Initially, Tomak was worried that segmenting customers and sending fewer, but more specific, emails would reduce traffic to the website. “The general belief was that we had to blast everyone,’’ Tomak said. Today, emails are sent less frequently, but with more thought, and the retailer has reduced subscription churn rate by approximately 20 percent.
Time savings, lower costs
Now his staff can maximize time spent on providing value-added analyses and insights to provide content, products and offers that guarantee a personalized shopping experience for Macys.com customers.
"Macy's is a very information-hungry organization, and requests for ad hoc reports come from all over the company. These streamlined systems eliminate error, guarantee accuracy and increase the speed with which we can address requests,'' Tomak says. "Each time we use the software, we find new ways of doing things, and we are more and more impressed by the speed at which it churns out data and models."
As competition increases in the online retailing world, Tomak says there is a push toward generating more accurate, real-time decisions about customer preferences. The ability to gain customer insight across channels is a critical part of improving customer satisfaction and revenues, and Macys.com uses SAS Enterprise Miner to validate and guide the site's cross- and up-sell offer algorithms.
Tomak is also training staff on SAS/OR®, business process optimization software, to further optimize the promotions that the company sends to clients. "We want to maximize the efficiency in sending these promotions to the right customer at the right time.''
The results illustrated in this article are specific to the particular situations, business models, data input, and computing environments described herein. Each SAS customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. SAS does not guarantee or represent that every customer will achieve similar results. The only warranties for SAS products and services are those that are set forth in the express warranty statements in the written agreement for such products and services. Nothing herein should be construed as constituting an additional warranty. Customers have shared their successes with SAS as part of an agreed-upon contractual exchange or project success summarization following a successful implementation of SAS software. Brand and product names are trademarks of their respective companies.
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Vice President of Analytics
Macys.com needed enhanced customer insight, online and across channels, to effectively measure and understand the impact of its online marketing initiatives on Macy's store sales.
Increased customer insights; cross-sell and up-sell effectiveness; productivity, revenue and customer satisfaction, an approx.20 percent reduction in churn rate and more than $500,000 savings in productivity annually in terms of FTE time saved.
“"With the extra time, the team has moved from being reactionary to proactive, meaning they can look at data and spend more time analyzing it and become internal consultants who provide more of the insight behind the data. This will be important to supporting the strategy and driving the next generation of Macy's.com."”
Vice President of Analytics
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