In this article…

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.
Latest posts

In a youth-obsessed world where fresh faces sell products, despite all efforts it’s a cruel reality that fashion models will eventually have to look for a new job. While they may try to self preserve with plastic surgery, Botox and laser treatments, let’s face it – they can’t be models forever. The advertising industry knows that a fresh face can’t be overlooked to sell products, so why should it be different for traditional direct marketers? Customers are the lifeblood of any business, yet businesses lose anywhere from 10-30% of them per year. Today’s “always on” shopper makes decisions in every channel – direct, online and in-store. In looking for better ways to sell more products to current and new customers, marketers seek out ways to expand their prospect universe to improve customer acquisition levels. Why? Customers are the lifeblood of any business, yet businesses lose anywhere from 10-30% of them per year. This makes new customer acquisition extremely important to both protect and grow business year over year. The acquisition challenge is that traditional prospect universe expansion is becoming increasingly difficult. Many marketers have exhausted list and co-op rental names, and optimization strategies. They’ve been using the same predictive prospecting models against compiled prospect data or co-ops for a long time. But these tools, which are based on traditional demographics, are increasingly leading to a decline in good prospect identification and acquisition. We know that in prospecting, there is no customer behavioral data to drive higher performing analytics – no plastic surgery or proverbial fountain of youth. In today’s multi-channel shopping world, the fresh face of online behavior can’t be overlooked. While direct marketers in self-preservation mode have leveraged traditional acquisition models for years, the reality is that if they do not consider fresh new data and modeling solutions, they will be looking for their next, new job. So, what can marketers do to overcome prospect universe expansion hurdles with online insight to increase acquisition and ROI? Meet direct marketing’s fresh new face: online behavioral data and modeling. Online behavioral data addresses a key challenge of traditional direct marketers: profitable prospect universe expansion. By incorporating online behavioral data (website traffic and behavior, search, demographics, lifestyle data) into offline marketing strategies, marketers can: Identify previously untapped prospect universes Suppress likely non-responders Enhance offline prospecting Where else do consumers so actively demonstrate their purchase interest and behavior? Where else do we go when we want to learn about something? Anything? We go online. But most direct marketers have not enhanced their offline marketing efforts with online data, missing the opportunity to incorporate online behavior into targeting efforts. With this fresh new data source, direct marketers are able to: Better understand customer behavior across channels Refresh their current models Develop better models, built from true, multi-channel data Ultimately, direct marketers will be able to identify new pockets of high-value prospects that traditional response models miss, resulting in an increase in revenues and profit. Fashion models and trends change, and sometimes that’s for the best, otherwise we might still be wearing parachute pants and slap bracelets. Luckily, you now know what the new face of marketing is and can begin integrating online behavior into your existing customer data today to leverage new marketing opportunities. Discover the new fresh face of direct marketing; learn more about online behavioral profiling and modeling.

Public attitudes are more open and accepting of LGBT Americans today, and marketers are increasingly showing their support of their LGBT customers. Experian Simmons includes a measure of sexual orientation among non-Hispanic respondents of our National Consumer Study, the only known large probability sample syndicated study to include such a measure. In our 2012 LGBT Demographic Report, we looked at marriage and cohabitation habits, as well as income levels and discretionary spend of LGBT and heterosexual adults alike. This data helps marketers better understand and connect to the growing and already influential LGBT demographic and to benchmark important factors against the heterosexual population. A look into individual earnings and household incomes shows that lesbian women earn more than heterosexual women regardless of relationship status. Specifically, the typical adult lesbian woman personally earns $43,100 per year compared with $37,600 claimed by the average heterosexual woman. Furthermore, the typical household income of a married or partnered lesbian woman is $7,200 higher than that of a married or partnered heterosexual woman. Mean individual earnings and household income of women, by sexual orientation When it comes to individual income, gay and straight men may earn roughly the same amount, but married or partnered gay men personally take home nearly $8,000 more, on average, than their straight counterparts. Additionally, the average household income of a married or partnered gay man is $116,000 versus $94,500 for a straight married or partnered man. Mean individual earnings and household income of men, by sexual orientation Income levels are important to consider when targeting consumers, but more important is determining the amount of money they have left over after the bills are paid for non-essentials. Despite having higher incomes, some may be surprised to learn that lesbian women have only the same amount as heterosexual women to spend on discretionary items. Likewise, gay men have less than heterosexual men for non-essentials overall, even though their incomes overall are quite equal. This is mostly likely due to the fact that both lesbian and gay adults tend to reside in larger cities where the cost of living can be considerably higher. Interestingly though, when household size is brought into the equation, we see that gay males actually have more to spend on non-essentials per capita than straight men. Gay men, for instance, live in households that spend $6,256 per capita annually on discretionary spending, nearly $1,000 more than what the households of heterosexual men spend per person. For more demographic and attitudinal information on the trends among the LGBT population, download the 2012 Lesbian, Gay, Bisexual, Transgendered Demographic Report.

My Experian Marketing Services’ colleagues and resident data experts Bill Tancer and Marcus Tewskbury answered the above question for marketers during our recent 2012 Holiday Planning Webinar. The webinar recapped key 2011 holiday marketing results, plus featured trends, benchmarks and recommendations for a successful and profitable 2012 holiday shopping season. Here are a few cool facts: For the first time, last year’s Cyber Monday beat Thanksgiving Day as the busiest online shopping day of the year Facebook and Pinterest were the top traffic sources to the Experian Marketing Services Retail 500 Pinterest visitors most often went to etsy.com and amazon.com from the pinterest.com site Dynamic content in emails can drive up to a 70% lift in open rates Tying web, email and in-store promotions together enhances the shopping experience and improves sales The bottom line is that marketers need to understand where there customers are, when they are there, and what they are doing. Armed with that knowledge, you can deliver personalized and targeted holiday messages that are sure to make this shopping season merry and bright (and profitable!). View the webinar to learn more.