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The questions that keep retail marketers up at night have evolved significantly over the last decade. It wasn’t long ago that marketers would spend their time debating which highway to place their billboard on, whether or not their next TV commercial should be comical or heart-tugging, or even what the optimal time of day was to blast an email campaign to their entire customer list. In 2024, retail marketing has new challenges on the radar.
The rise of omnichannel retailing
The modern, digital-savvy customer expects a flawless and interconnected shopping experience across touchpoints — one of the many reasons omnichannel marketing is on the rise. Research shows that over half of B2C consumers engage with between three and five channels whenever they make a purchase. For businesses, omnichannel engagement is a lucrative opportunity; McKinsey reports that customers who engage across channels shop nearly twice as much as those using a single channel and usually spend more money.
However, the rise in omnichannel engagement also presents several retail marketing challenges, such as the complexity of managing vast amounts of data and piecing together an accurate picture of consumer behavior.
Data and identity-related retail marketing challenges
Today’s data-driven environment has turned the retail marketing landscape on its head, and businesses have a whole new set of struggles that revolve around identity and data. We identified the top five retail marketing challenges and how to solve them.
1. Knowing what data to capture
In the omnichannel era, online and offline data is abundant. When a customer shops at a physical store, they create data points like:
- What items they purchased
- What time they visited
- How long they were there
When the same customer shops online, they create a whole new set of data points, such as:
- What device they used
- Which items they browsed but didn’t purchase
- How long they spent on specific pages
The vast available data can overwhelm retailers and make it a challenge to determine which data points to prioritize. Start by identifying the challenge you’re addressing. By defining your problem, you can better decide which data is most relevant. For instance, if you’re optimizing the timing of incentives, analyze when customers shop most frequently and customize offers based on individual behavior patterns.
How Experian’s Activity Feed can help
Experian Activity Feed connects online and offline data to promote precise targeting and measurement across mobile, web, connected TV (CTV), and more. We provide addressable insights that work across all channels by integrating real-time device IDs, cookies, and IP addresses. Our case study with Cuebiq, found here, discusses how we used Activity Feed to deliver in-store lift analyses to Cuebiq’s clients.
Because our impressive breadth of addressable data works across channels, we’re perfectly positioned to be your comprehensive identity solution, as we’re capable of addressing the entire U.S. population. With access to over 250 behavioral and demographic attributes per individual, our data fills in audience gaps to help you create a complete customer profile.
2. Understanding customer behavior
The complexity of modern consumer behavior is growing, and one of the biggest retail marketing challenges is merging all this information into a single unified customer view. With consumers moving seamlessly between devices like tablets, mobile phones, and laptops, retailers face the grueling task of keeping up with their fragmented journey.
For instance, a customer may spot a pair of shoes in-store, add them to their cart via mobile due to long cashier lines, and finish the purchase later from their laptop. However, if they cannot be recognized across these touchpoints, they may abandon the purchase out of frustration. Retailers need solutions that link offline customer relationship management (CRM) and purchase data with a customer’s online activity, regardless of channel or device.
This is where Experian identity resolution and Graph come into play.
How Experian’s Graph and identity resolution can help
Experian’s identity solutions help brands resolve disparate data by merging fragmented identifiers into a singular customer profile for a 360-degree view. We ensure each touchpoint is connected, whether the interaction happens online or offline, across mobile apps, or in-store. This enables retailers to recognize the same customer across various devices and enhances the customer experience by keeping items in their cart and personalizing their journey across platforms.
With Experian’s identity graph, brands can further enrich these customer profiles with digital identifiers that span hashed emails (HEMs), cookies, mobile device IDs (MAIDs), IP addresses, universal IDs, and CTV IDs to create a more accurate, actionable view of consumer behavior. We rebuild the graph weekly, which ensures persistent and refreshed connections between households, individuals, and their devices. This ongoing linkage allows for precise targeting and measurement over time and aligns with privacy standards and compliance obligations.
By organizing identity into households and device IDs and enriching them with marketing data, brands can gain deeper customer insights, addressability across devices, and the ability to measure the impact of their retail marketing strategies.
3. Building trust between consumers and your brand
Trust is the foundation of online relationships, and consumers who trust your brand are likelier to share their data. To establish this trust, retailers must collect customer data transparently and respectfully.
According to Experian data, 80% of consumers believe more transparency around the use of their information fosters greater trust in a business. Additionally, the same data revealed that 56% of companies plan to invest more in transparency initiatives, such as consumer education, clearer terms of communication, and consumer control over personal data.
Experian’s commitment to data accuracy and transparency further strengthens this trust. Our data is ranked #1 in accuracy by Truthset, which means you can power smarter insights, targeting, and measurement using the highest-rated, most reliable data to build customer profiles.
4. Establishing customer loyalty with retail marketing
Today’s consumer has many opportunities and choices available at their fingertips, which makes it harder for retailers to build and maintain customer loyalty. Signal loss and the rise of omnichannel media consumption have made it even more of a challenge to keep loyal customers.
By using data and insights to interact with people more meaningfully, you can overcome these difficulties to provide a more personalized, relevant experience and establish loyalty. Experian’s new Digital Graph and Marketing Attributes solution makes it easier to do just that.
Experian’s Digital Graph and Marketing Attributes solution
Using our Digital Graph and Marketing Attributes, you can gain comprehensive insights into consumer behavior by combining offline and digital data through our Living Unit ID (LUID). Our Digital Graph provides robust digital identifiers like MAIDs, CTV IDs, HEMs, and universal IDs, while our Marketing Attributes offer detailed consumer insights spanning age, gender, purchase behaviors, and content consumption habits. With this data, you can create relevant messaging and informed audience segmentation to enhance your personalization and targeting efforts across all digital channels.
Using our solution can help you deliver what customers need when they need it — like winter gear before a ski trip or swimwear before a beach vacation. These personalized experiences drive additional revenue and build lasting relationships that keep customers coming back, establishing a strong foundation of loyalty in an increasingly competitive market.
5. Finding your technology solution
Retailers need to integrate technology to make their data actionable and use it to streamline the customer experience. They need to integrate data storage platforms with fulfillment and reporting solutions, such as email service providers, display networks, and marketing intelligence tools. Whether retailers are exploring the industry or gearing up to make a substantial investment in the right technology partner, it’s vital to ensure you evaluate potential partners equally and consistently.
Experian works with major platforms, marketers, and agencies, meaning we have existing partnerships across the ecosystem for you to connect with that can bring your consumer data to life and meet your needs. Our offline and digital graphs are baked into partner integrations so customers can achieve higher match rates that improve addressability.
Strategies to help you overcome retail marketing challenges
When it comes to modern retail marketing, you’ll need to take a strategic approach to handle emerging challenges. Here are five retail trends of 2024 to consider integrating into your retail marketing strategy:
- Use predictive analytics: Data can be overwhelming, but you can analyze historical purchase patterns to capture and prioritize the most relevant data for your retail marketing efforts.
- Optimize omnichannel campaigns: Cross-channel data integration can help you ensure consistent messaging, provide a seamless experience, capture a unified view of customer interactions, and improve engagement.
- Personalize experiences with AI: Utilize AI data capture across touchpoints to create personalized recommendations and tailored experiences that resonate with individual customer preferences and behaviors.
- Adopt dynamic pricing: Use real-time data to adjust prices based on customer behavior and market conditions so your pricing strategies align with current demand and maximize revenue.
- Invest in customer experience tech: Virtual fitting rooms, augmented reality, and other advanced technologies allow customers to engage with your brand across platforms, which can improve their shopping experience.
Utilize Experian’s retail media network (RMN) solution
Experian’s solution for RMNs is another tool for overcoming retail marketing challenges. We empower RMNs to better understand their customers with unified views of online and offline behavior across channels and extend their reach across environments.
Using our top-ranked identity and audience services, we can help RMNs access expanded customer insights, enhance cross-channel audience targeting, and improve real-time measurement and attribution to enable precise, streamlined, personalized omnichannel campaigns. Our solution’s integration with major platforms improves data match rates and addressability so retailers can overcome data fragmentation and optimize their retail marketing strategies.
Experian can help advance your retail marketing strategies
Experian can help retailers effectively use data and insights to interact with customers and prospects meaningfully. Our data and identity solutions help you deliver relevant, impactful messaging to ensure the customer who puts shoes in the cart at the store is the same customer who wants to finalize their transaction later that evening online.
As the holiday season approaches, it’s time to refine your retail marketing strategies and connect authentically with shoppers. With over a billion consumers preparing to shop, Experian offers 19 new syndicated audiences available for activation across major ad platforms, including TV and programmatic, to help you reach the most relevant prospects. Whether you’re targeting discount seekers, last-minute gift-buyers, or frequent travelers, our audiences align with diverse shopping styles and preferences. Choosing the right audience segments aligns your holiday marketing efforts with consumer expectations and maximizes impact.
With our tools, you can seamlessly connect with the same customer across various channels, whether they’re shopping in-store or online. Embrace the holiday season confidently, and let Experian help your retail marketing strategy shine.
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John Fetto, our Senior Research and Marketing Analyst, explored the top five lessons from the 2014 holiday season and provided tips to help marketers revamp their 2015 holiday campaigns. 1. Move over desktops, consumers are using mobile to search for deals Deal seeking is moving to mobile where consumers have access to pricing and coupons while they are on-the-go and closer to making a purchase decision. In fact, searches for “mobile coupons” are up 14 percent since July when mobile search data was incorporated. As for timing, peak deal-seeking searches typically occur during the holiday shopping season, but the past two years, holiday and back-to-school were nearly equal. For marketers to not leave money on the table, it is critical to target deals and discounts strategically to consumers who need and want them most. 2. The must-have gifts of 2014 2014 was the year of the "Internet of Things," the rapidly growing trend in devices — beyond smartphones, tablets and computers — that connect to the Internet. In particular there was a big leap this season in searches for portable fitness devices and smart watches were up 235 percent year-over-year. Additionally, searches for smart televisions were up 30 percent and searches for smart home automation devices were up 67 percent year-over-year. Savvy marketers will use these insights to reach customers in a myriad of new channels in 2015. 3. Reach consumers later in the week It’s no surprise that the three busiest shopping days this past holiday season were Cyber Monday, Thanksgiving and Black Friday, each capturing more than 225 million online visits to the Hitwise Retail 500. Diving deeper into significant peak days in December, we found that Tuesday and Wednesday earned top spots as key online shopping days. This gives marketers the ability to reach consumers with more relevant messages later in the week and drive in-store sales for the weekend ahead. 4. Email is the second biggest driver of traffic Email continues to be a strong driver of online traffic. In 2014, search engines drove 41 percent of the traffic to the Hitwise Retail 500, followed by email with 8.15 percent. Looking at the performances by key peak days, email was a strong driver of traffic on Thanksgiving and Black Friday, and social media drove the most traffic on Cyber Tuesday, the Tuesday after Thanksgiving. 5. Mobile is a strong driver of traffic to retail sites Much of the mobile activity on retail sites comes from browsing while shopping, whether it’s for price comparison, inventory analysis or to find store hours or locations. In fact, a new study from Experian Marketing Services found that 83 percent of cell phone owners now engage in shopping activities on their phone immediately before, during or after visiting a store. In addition, 53 percent of smartphone owners visit shopping websites from their phone during a given month versus 41 percent who use shopping apps during the same time frame. While mobile apps are great ways for marketers to interact with existing customers, mobile web is critical for reaching potential new customers. Marketers who focus their mobile efforts on developing mobile apps at the expense of mobile optimized sites are likely missing the opportunity to attract new shoppers. Learn more about the 2014 holiday season to prepare for next year Watch the Five things we learned this holiday season webcast for deeper insights into these trends: What branded products and product categories were hot this season Mobile shopping trends, including how much consumers are shopping and buying online Consumers’ deal-seeking tendencies and the trend of omnipresent sales, discounts and coupons Analysis of the peak online shopping days and seasonal traffic trends Which retailers were successful this season and the digital channels that were effective in driving traffic
It seems that every time I go into a store today, I am offered a loyalty card. From one of my favorite local restaurants to my shoe store VIP program, I feel like I am getting a host of emails and points at every turn. Statistics support my theory: according to a recent Experian Data Quality study, 91 percent of organizations use loyalty programs. Why did they become so prevalent? Today’s consumer is more empowered than ever before and driving major change within business. In the era of Yelp, digital channels and a 24/7 shopping cycle, organizations have less control. Just look at the shoe market, which you can tell I pay attention to. It used to be that you would purchase whatever your local department store or brick-and-mortar retail had to offer, which might be 50 different options. Now, you can go online, read reviews and browse hundreds of different choices based on style and color. In fact, last night I went online and searched for black boots and scrolled through six pages of different options! Loyalty programs are a counter balance to that choice and empowered customer behavior. They make sure that while I am shopping for shoes, I am probably doing it through my preferred store and earning reward points for free merchandise. And through the loyalty process, companies are collecting a lot of data. Customers usually need to provide more than three types of information to sign up, the most popular being email, followed by name and phone number. However, collecting this information accurately isn’t always easy, which is why poor data collection is one of the leading problems for loyalty programs. Eighty-one percent of companies face challenges related to these programs, the two biggest being not enough customers signing up and poor contact data. Inaccurate data means that a customer has signed up, but the marketer is unable to communicate with them in the desired channels. This clear drop in communication and a potentially bad customer experience could be by improved data collection. Sixty-four percent of respondents say this is a needed improvement. Let’s go back to my shoe retailer example. If they had collected my email wrong, I wouldn’t get my email confirmations or offers around upcoming sales. If they got my address wrong, I wouldn’t be receiving my shoes. Considering how much money I spend on shoes annually, which I am ashamed to admit, if any of those items went wrong, I might switch to a competitor. That can equate to a lot of money annually, especially when you look at it across a large number of clients. When a customer chooses to sign up for a loyalty program, they are making a commitment to the company and expecting something in return, be it points, free shipping, coupons or just company updates. However, if bad contact information is collected, then the consumer often never receives the benefits, resulting in a bad customer experience. In the next year, marketers need to data validation in place to ensure information is accurate upon collection. This type of software can be implemented across all channels where information is collected and ensure data is accurate while the consumer is still engaged. If information is accurate when it is collected, then loyalty programs have a better chance at engaging consumers and actually seeing the benefit that a loyalty program can provide. To learn more about loyalty programs and the research mentioned above, please read our new white paper, Driving customer loyalty.
When building marketing plans these are the top trends marketers need to know and consider Crowdsourcing, Programmatic Buying, The Internet of Things … these are all concepts that today’s savvy marketer needs to be thinking about. We can’t emphasize it enough: the marketing landscape changes almost daily, sometimes without us even realizing it. The three concepts I just mentioned weren’t even part of our lexicon a few short years (or even months) ago, but are now important trends marketers need to know and consider when building out marketing plans. Take crowdsourcing, for example. Experian Marketing Services research showed that the number of ratings or reviews posted online has increased by 30 percent in the past two years and the number of adults who say they pay attention to such reviews has increased by 33 percent. Brands are capitalizing on the trend by engaging their consumers in communities that share their content and even help them design new products. Programmatic Buying, which refers to the automation of online ad buying, has exploded over the last few years as publishers like AOL have started focusing less on selling remnant inventory and started offering their premium inventory to advertisers up front. This has led to the packaging of “audiences” that marketers can use to target customers across channels and devices. And one of this year’s biggest trends is the rise of the “Internet of Things,” which is, essentially, everyday objects that connect to the Internet to improve efficiency, connectivity and user experience. Think smart light bulbs that you can control from your smartphone, or smart thermostats that also connect to your phone and allow you to adjust the temperature in your house before you get home from work. If you find these concepts interesting, please read “Trending Now” to get more insights into these trends marketers need to know and several other fresh marketing ideas that are changing the way marketers are thinking about planning today.