New SAS data shows Canadians plan to spend less this holiday season

What can retailers do to optimize their holiday sales push?

By: Shawn Smith, SAS Retail Solutions Specialist for SAS Canada

New research from SAS says Canadian shoppers plan to buy less this holiday season than they did in 2014; this according to a poll of 3,458 consumers in the United States, Canada, the United Kingdom, Australia and New Zealand to uncover holiday retail trends. Canadians lead the pack in plans to spend less this year, with 1 in 5 Canadians surveyed saying they will spend less than last year.

So what does all this mean for Canadian retailers?

Quite simply that retailers will need to work harder to earn a portion of Canadians’ gift budgets this year, but at the same time, there’s a real opportunity to make sure the right customers get the right deals this holiday season.

Not only are Canadians planning to spend less this year, but they’re also shopping around the holiday discount cycle, planning to buy gifts when the best deals are available. While U.S. shoppers still lead the retail charge on Black Friday and Cyber Monday, Canadians are catching up, with nearly a quarter (22 %) of those surveyed saying they’re likely to shop on Black Friday and 17 % likely to shop on Cyber Monday. Meanwhile, 39 % of U.S. respondents say they’re planning to shop on Black Friday and 38 % say they’ll shop on Cyber Monday.

SAS research also indicates that these popular days for holiday deals may be more than just a North American retail phenomenon, with 17 % of respondents from the U.K. saying they’re likely to shop on Black Friday.

Consumers the world over still plan to do the bulk of their shopping during the traditional November to December holiday season. Only 6 % of consumers say their holiday shopping was complete in October when this survey was conducted.

Nothing beats the in-store holiday experience

While online retail has grown in recent years, for many Canadians holiday shopping means shopping in a store. In fact, SAS research found that 82 % of Canadians surveyed say they plan to shop in-store this holiday season, versus 87 % of Americans and 79 % of respondents in the U.K.

While Canadians are planning to spend time in brick and mortar retailers this holiday season, they’re still focused on price. Discount retailers are the top choice for Canadians surveyed when asked what type of store they plan to shop for gifts, followed by specialty retailers and eTailers. In the U.S., discount retailers are the most popular places to shop followed by eTailers and department stores. In the U.K., eTailers are the most popular followed by department stores and grocery stores. In Australia, department stores and discount retailers tied for first in the hearts of consumers. In New Zealand, warehouse retailers ranked No. 1 followed by department stores, then discount retailers.

Whether shoppers around the world are heading to stores or online, don’t be surprised if you receive a few gift cards this year; it’s the No. 1 gift choice for consumers overall. The next most popular gift items are toys and games, followed by apparel.

While the survey results are interesting, whatever the results, the fact remains that today’s retailers have access to vast stores of data, which allow them to create a personalized retail experience that customers have come to expect! Used in the right way, data analytics can be the key to bringing customers in the door during the holiday season or otherwise, building a better online experience, or simply helping weather slow periods by allowing faster, more efficient and more nimble supply chain changes. Whatever their customer segment or demographic focus, retailers have the opportunity to improve customer-centric and operational decision-making by building deeper insight from a massive stream of internal and external data. Analytics technology can help, here’s how.

Big Data and Hadoop

Big Data is important to every line of business and industry. But marketing is a key passenger on the Big Data bus. In many ways, marketing was doing Big Data before it was Big Data. Concepts like segmentation, offer management and propensity to turnover have always required data and analytics. Big Data doesn’t change the marketer’s role. It encourages it to evolve. It allows marketers to use all data, not a just sampling, to do what they have been doing for years. It also opens the door to using data in ways they’ve only dreamed about.

The explosion of Big Data has fostered the Hadoop ecosystem, which, in turn, has marketing professionals awash in a sea of acronyms and buzzwords. Hadoop is simply an environment for storing and processing data. Huge volumes of data, certainly, but it’s still a tool to be mastered, not to be ruled by. As the amount of data we collect increases, Hadoop will enable marketers to leverage that data to move a customer to conversion, by providing context about how to deliver the most relevant offer to the customer.

The Mobile Retailing Experience

Today’s consumer is more connected than ever before. It’s staggering when you think about it: A single device that we keep in our pockets can be used to review products, check prices, share purchases, request coupons – and sometimes even to purchase products from one retailer’s online channel while standing in a competitor’s store. In this always-on culture, consumers are more demanding of how companies interact with them. Today’s consumer wants the right message delivered to the right channel, to the device of their choice, at the time of their choosing. As mobile devices continue to proliferate, marketers will need to understand the needs of the mobile user and be ready to deliver real-time, relevant communications with each and every customer communication.

In many ways the mobile phone has turned into our own personal shopper .The rise of beacon technology is making this a reality. Beacons are hardware sensors designed to wirelessly communicate and transmit data to mobile devices within a specific proximity. Beacons can be used for a bevy of in-store purposes, including geolocation, targeted messaging and shopper analytics. But in order to get the most out of beacon strategies, retailers must combine the technology with analytics to enable a shopping experience that is truly personalized and of value to the shopper.

A Personalized Customer Experience

Offers, advertisements and marketing messages can be sent from every possible direction, but savvy marketers must be careful not to bombard consumers’ senses. In an ideal world, consumers receive messages that are tailored, relevant and timely, and offered to them based on their actions and behaviours in the past--or better yet, how they might act or behave in the future. These personalized offers must be consistent regardless of the channel through which it’s being delivered and seem unique to the individual receiving them.

This is the experience customers have come to be expect, and only analytics can drive the type of real-time insight that underpins personalized marketing.

Personalized marketing and promotions can also help improve customer loyalty. By tailoring messaging or promotional offers to customers based on their preferences and past behaviours, retailers can establish a more personal relationship with the customer. Not only does this give shoppers a positive and personalized experience, but it can also help increase sales. Research from SAS has found that nearly half of smartphone owners would be more likely to return to a store that sent personalized promotions to their phone while they were shopping. In short, customers who receive personalized deals buy more and come back more often. Yet, according to SAS’s 3rd Annual Analytics in Retail Study, only one in 10 Canadian retailers make customer profiles available to merchandising and marketing teams in real-time. Retailers have access to mountains of behavioral customer data, but if they’re not effectively listening to what the data is telling them, then it’s of no use. A data analytics solution is integral to optimizing marketing strategy for retailers and ensuring customers are being offered the right deals for them.

Rewards-Based Incentive Programs

As the saying goes: You scratch our back, and we’ll scratch yours. This premise is especially important when it comes to gathering personal data from your customers: It should be give-and-take. When you can show consumers the value they receive by sharing data, they’re more likely to opt in. Customers know that their data is valuable, and they need to feel secure in giving it and assured that they’ll see a return on their data sharing. This means they expect retailers to make their information count, in the form of a personalized discount or recommendation for a complimentary item to something they recently purchased. Research from SAS has found that nearly three quarters of Canadians expect that, when they give a company personal information, such as their age, email address, income or birth date, the company will use that information to tailor promotions to them personally. Loyalty programs are only as good as the loyal customers they generate. And this means they’re only as good as the personal touch they add for customers.

Informed Inventory

A major obstacle for retailers is finding the perfect balance in between ‘out-of-stock’ and overstocked. When it comes to inventory, there is a crucial difference between planning based on activity from the previous year and making informed decisions using much more accurate forecasting based on solid insights. This is the difference between hindsight and the kinds of insight and foresight made possible by analytics. Analytics can help anticipate customer demand by identifying factors that might affect consumer needs. For example, a retailer stocking sports equipment can be prepared for an increase in demand for soccer jerseys before the start of the season. At a deeper level, analytics can help a retailer plan for a baby boom. Based on buying habits, data insights from predictive analytics might indicate an increase in growing families in a younger community. Now the retailer can plan for increased diaper sales, or other sales of items new parents need. Effectively utilizing analytics can help retailers optimize inventory management across facilities, distribution networks and products.

Let Your Data Work For You

The data onslaught is both a challenge and an opportunity for retailers. For most, accessing customer data isn’t the issue. The issue is what to do with it once you have it. Analytics can provide a deeper understanding of who your customer is, and what they value when it comes to the products and services you provide. Namely, it opens the door for retailers to interact with customers more purposefully and to become more personalized in those interactions. With the use of data analytics, retailers can help guide their marketing strategy and inventory decisions to truly serve the modern and much more empowered consumers’ needs.

For more information on SAS’ retail solutions visit: http://www.sas.com/en_us/industry/retail.html


Regression
Analise Polsky
retail-walmart

Learn more

Want to use data to create (and keep) happy customers? This Aberdeen report describes how to successfully incorporate analytics into a customer experience management program. The result? Personalized, timely and consistent messages throughout the customer journey.

Back to Top