woman-shopping

Give shoppers offers they’ll love

Chico’s relies on SAS® Customer Intelligence to fine-tune marketing interactions and connect customers to the merchandise they want.

With the growth of online commerce, shoppers no longer simply go to the mall, browse through stores and return home with bags full of merchandise. Shopping in today’s retail world is very different.

Rather than mailing every offer to every customer, SAS helps us determine the right people to contact, helping us stay on budget and avoid wasting resources.
Chico's Paul Grasso

Paul Grasso
Manager of Marketing Analytics

For example, you can browse a retailer’s website to find clothes and accessories and then place an order. Or you can go to the retail store to see those items in person and try them on. You could make a purchase in the store – or wait to pounce on an online deal. Consumers seamlessly move between channels, devices and points in time on their path to purchase.

This behavior has left retailers with customer data scattered across multiple systems. To make stronger and more profitable customer relationships, they need comprehensive data about each customer’s journey across all channels. That requires sophisticated analytics to truly understand what a customer wants with each shopping experience.

Women’s apparel retailer Chico’s relies on SAS Customer Intelligence, including SAS OnDemand: Marketing Automation, to consolidate and analyze customer and transactional information. The on-demand solution, which is hosted at SAS world headquarters in Cary, North Carolina, allows Chico’s marketers to plan, test and execute campaigns of any size or level of complexity. The solution empowers marketing staff to work directly with the data, without help from statisticians or IT staff.

With the dynamic customer profiles in place, Chico’s can truly understand its shoppers and develop targeted marketing campaigns that offer more relevant messages.

A 360-degree view of customer behavior improves marketing effectiveness

While Chico’s started out as a traditional brick-and-mortar business, it now has a huge online presence. Not only does that encompass online sales, but an incredible amount of browsing and session data as well.

“Customers browsing online make up a much greater volume of activity than actual online purchases,” says Paul Grasso, Manager of Marketing Analytics for Chico’s. “Customers use our website to view products, but they often still come into our stores to make their purchases. We need to link information about customers in all channels to understand what they’re interested in.”

retail-analytics-social-sharing

Previously, Chico’s used a system built simply to put lists together and send out mailers. That system limited the retailer’s ability to segment customers and combine offers. Now SAS Customer Intelligence solutions enable Chico’s to consolidate the customer data it gathers to create a complete view of the customer. And Chico’s can use analytics to fully understand what products customers are looking for, what drives purchases, how and when to contact customers, and what the right offers are.

With this insight, Chico’s can better determine which existing or lapsed customers to target with certain offers. “Rather than mailing every offer to every customer, SAS helps us determine the right people to contact, helping us stay on budget and avoid wasting resources,” Grasso says.

From the customer perspective, better analytics means communications are now much more on the mark. “We can provide deals for the products the customer likes and shops for,” Grasso says. “That means the customer gets offers they love.”

Rapid data consolidation and reporting accelerate business decisions

One of the biggest challenges Chico’s faced in using customer data for targeted marketing has been the sheer volume of data from retail stores, the website and social media. By pairing SAS with a more efficient database technology, Chico’s reduced extract, transform and load process times that consolidate customer data from 17 hours to two hours.

“We needed to identify customer records that were duplicated within the system,” Grasso says. “This often is the result of having someone’s name, mailing address or email entered differently from one shopping experience to the next.”

For example, a shopper is in the system as “Christine” in one record and “Chris” in another. Or an address is “123 Main Street, Apartment B” in one record, but “123-B Main Street” in another. Chico’s can now determine when multiple records actually represent the same person and link them together. The retailer also detected and eliminated incomplete records, dramatically improving its analytics results.

Managers use this up-to-date data to create ad hoc reports that allow them to ask questions that lead to more targeted campaigns and offers. In the future, Grasso says that Chico’s will analyze data in real time to make its promotions increasingly timely and relevant. “If a customer interacted with us and saw something that piqued her interest, we’ll be able to turn around an offer that reinforces the message while it’s still top of mind.”

By improving its data integration and analysis, Chico’s is enhancing its relationships with shoppers. “Our entire team is focused on delighting our customer by giving her what she wants, when she wants it,” Grasso says.“Our goal is to make the service, the aesthetics and the merchandise extraordinary.”

Chico's logo

Challenge

  • Consolidate customer data from multiple online and brick-and-mortar retail channels to get a complete view of the customer.
  • Answer questions about customer preferences and purchasing behavior.
  • Predict customer behavior to create more highly segmented, cost-effective marketing campaigns.

Solution

Benefits

  • Customers get relevant deals on products they love, which increases sales and loyalty.
  • Time to perform data consolidation reduced from 17 hours to two hours, allowing the process to be performed daily instead of weekly.
  • Faster data availability and ad hoc reporting gives managers greater insights.
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.

Back to Top