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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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Early successes include revenue increases, global partnerships and fundraising NEW YORK, March 16, 2017 /PRNewswire/ — Tapad's entrepreneurial mentorship initiative, the Propeller Program, has seen extremely positive results since it began in September 2016. The five early-stage startups selected from Norway have gained momentum in establishing a U.S. presence. Tapad, now a part of Experian, is the leader in unified cross-device marketing technology. The company was acquired by the Telenor Group in 2016. Among the successes within Propeller: Xeneta, the leading ocean freight price comparison platform and contracted rate database, has raised an additional $12M in funding since beginning the Propeller Program. Before the end of 2016, the company had exceeded its revenue expectations by nearly 30 percent, proving the European-focused business could succeed in the American market. "Aside from directly impacting our revenue, the Propeller Program has provided us with incredible access to a countless number of external resources, including subject matter experts from the fields of fundraising, public speaking, corporate structuring and immigration law," said William Di Ieso, GM of North America for Xeneta. "We remain extremely grateful for the opportunity and exposure the program has provided for Xeneta." Bubbly, an in-store real-time engagement tool for non-buyers, now has clients on four continents. After only a few months in the U.S. market, Bubbly has signed deals with one major retail brand, one major toy manufacturer and a major global consulting firm. The Propeller Program has also opened doors for greater opportunities in Scandinavia and EMEA. After an introduction to Telenor Group's President and CEO Sigve Brekke, Bubbly is currently piloting its IoT kiosk with the company. "The mentoring sessions have been very valuable and have given us guidance as to how to best enter the U.S. market," said Marianne Haugland Hindsgaul, Bubbly CEO and co-founder. "Learning to do business in the U.S. is not something you can necessarily learn from a book. The most impactful lessons are based on real-world experience, and that is what the Propeller Program has given us." BylineMe, a marketplace for freelancers, publishers and brands to connect for content creation and distribution services, has built an extensive network of potential clients and investors. The company has tested its product in the U.S. market and gained valuable feedback for further development. Eventum, a property-sharing group that digitally assists in securing venues for meetings and corporate events, has closed a seed round of funding for nearly $1M. Eventum has also made key hires in the areas of business development and engineering. Socius, under the influence of Tapad, pivoted into the ad tech space, positioning itself as "a social native ad platform" for digital publishers. The company has attracted top talent to begin building out its U.S. business development and sales divisions. As a result, Socius has signed a host of premium publisher partners to validate its exciting new direction. "It is so rewarding to be able to support these Norwegian startups in a meaningful way," said Are Traasdahl, CEO and founder at Tapad. "Mentor relationships are critical for strategic growth, and I am proud to be able to pay forward the experiences I have gained as an entrepreneur. To me, the Propeller Program is a shining example of the magic that can happen when Norwegian innovation meets American opportunity." Contact us today!

Oh, how the time flies. We’re already into March of this young 2017, and as much as it pains me to say, it’s probably about time we begin thinking about Holiday 2017. But such is life, and if we have to do it, we might as well do it right. So how do we start to think about “doing it right” in Holiday 2017? Well, as an analytics guy, I might be biased, but I believe the data contains the answers. While there are obviously many more factors, which you can see in our 2016 Holiday Insights webinar, data points and concepts to consider, let’s dive into a few interesting 2016 holiday marketing insights that can help you begin prepping for this upcoming holiday. First, a quick note on the data in this post – all data is collected from a holistic study that examines a single inbox designed to mimic the “average” consumer…and since, on average, most email subscribers aren’t doing more than opening, we make sure that no content is clicked through and no transactions are recorded. We then coded each email on a variety of different metrics, some of which you’ll see below. Finally, in order to increase the robustness of our evaluations, we examine each brand within the study individually, first by calculating the overall average KPIs for the time period within the study. Then, we compare each mailing for each brand against that brand’s baseline, creating a +/- metric on a per campaign basis. Then, we average those metrics across each brand, creating a model for expected performance compared to the “typical” mailing. To illustrate, let’s examine the following (simplified) sample table. Suppose we want to know what the “expected” impact of X for a brand’s marketing program. In the table below, we’ve gathered the open rates for campaigns that exhibit X for brands A & B. The table also shows the long-term average open rates for each brand, and the percent change of the campaigns compared to that baseline. By averaging those results, we get a holistic “expectation model” for campaigns exhibiting X. In this sample, we can generalize to say, any campaign including X for any brand should, on average, expect an open rate that’s about 9% lower than their long-term baseline. Peak week’s heavy influence I don’t think it’s an earth shattering revelation that the data shows peak week’s performance as being significantly above average, but it often surprises me to see just how much better it does than the surrounding time periods. This is easily seen in the chart below, where I’ve plotted every single mailing’s +/- revenue per email over time. I’ve categorized the mailings as “holiday” vs “standard” to see if there were any significant patterns. As you can see, most mailings performed worse than the baseline, due to the baseline being so heavily influenced by peak week, with mailings performing 2-5x better than average. What does it mean? Peak week’s impact is large enough that brands might want to consider viewing it in a vacuum, away from the days surrounding it, in order to get a better read on the overall health of their email program. Your brand should expect much better than average results throughout peak week, of course, and if the data doesn’t show that, you might be in trouble! Holiday messages get a boost with subject line mentions Throughout holiday, creative treatments and copy call out or hint towards specific holidays. Overall, those holiday messages generally perform better than average across all KPIs, as shown below. These results improve even further when those specific holidays are mentioned within the subject line, with Black Friday mailings seeing the largest increase when combined with a subject line mention. What’s most interesting to me, however, is how negatively Christmas themed mailings were affected when the holiday was called out in the subject line (a net 25% decline in revenue per email). All of these results may arise from a case of self-selection bias, whereas we should expect a specific holiday message to do better than average simply because it’s a specific holiday theme. This concept works in a few ways: a) If a company is giving a great offer, they might want to make it feel more “special” by creating a unique theme and selling concept around it (the holiday) . b) If a company has decided to devote resources to creating a mailing designed around a specific holiday, likely requiring a change in the creative process / design or additional strategizing around copy and positioning, then they will likely want to attach stronger offers to make the increased effort worth it. c) Due to the date of deployment, companies are more likely to both add strong offers and devote creative resources to a mailing because they implicitly understand that customers are more likely to engage on those days due to larger economic or societal trends and to differentiate themselves from the noise. d) If companies are devoting good offers or creative treatments to a specific holiday (or both), then the best companies realize that they should signal this with a mention in the subject line, leading any message with a holiday mention to of course do better What does it mean? The data highlights a particularly interesting in holiday email analytics – understanding causal effects. Sure, theming a mailing around a specific holiday might be the cause for the improved metrics, but it’s more likely that we assign holiday themes to a mailing that would have done well already. This is a much larger concept to think about in marketing, and the main takeaway is to be highly critical of any causal inference you make regarding performance. There are bigger factors at play with subject lines than length I have a deep-seated skepticism of any broad subject line analysis – subject lines are a quagmire of entanglements, where no single feature can ever be considered in a vacuum against any other feature. And yet, a tiny bit of Googling reveals hundreds of posts about subject lines, ranging from improving open rates with personalization and emojis to the grand-daddy of them all – shorter subject lines improve open rates. The argument for shorter subject lines in and of itself is an entanglement nightmare, since shortening a subject line can mean creating more clarity and precision to what you’re saying or cutting off back end details that might not be important or making sure relevant data always shows up on mobile. All of these are good ideas, but they are lumped into “shortening subject lines,” despite being fixes for potentially different problems. Oh, and never mind the fact that I’ve never seen any real analysis backing up the broad idea that shorter subject lines create higher “expected” open rates (most don’t normalize the data to try to control for subject line length, and therefore likely read other confounding factors). Our holiday study demonstrates the lack of empirical evidence behind the maxim of “shorter equals better,” showing a wide spread of outcomes at each subject line length and little discernible correlation. Even controlling for longer or shorter subject lines versus the brand’s average shows no real pattern, suggesting that brands that radically increase or reduce their subject lines aren’t expected to see much of a change in open rate performance. What does it mean? Engagement in your mailings is predicated on a much broader combination of relationship building, consistency, and brand value than the subject line – especially its length. Sure, shorter subject lines might force brand’s to be more precise and clear in detailing the mailings contents, but just lopping off words isn’t the most sophisticated path to brand positioning out there, is it? As with any sort of data-driven recap, it can sometimes be difficult to understand what our major takeaways are – after all, shouldn’t we just do what the data says? Not necessarily. The great thing about any “global” recap is that it allows for greater context around your own strategies, ideas, and performance. While the data may suggest particular things (add a specific subject line call out for holiday mailings!), more nuanced thinking might suggest deeper reasons (confounding factors!). That doesn’t mean a recap isn’t important or useful: it just means you – as a brand or strategist or tactician – have to be well informed of what the data says and what it implies. Then you can adapt your strategies accordingly. Of course, if you need some assistance, you can also reach out for help with campaign analysis or marketing strategy. And, as always, happy planning! Interested in more strategic and tactical planning tips? Watch our webinar “Trends are dead ends: Create a clear road to success with our 2017 planning tips” for free!

The volume of email being sent is growing at a rapid pace, that means consumers are wading through hundreds of emails on a daily basis. Combine that with the fact that most consumers spend just a few seconds looking at an email, and you see that marketers need to find better ways to capture and hold audiences’ attention. One answer? Kinetic email. Consumers access their email on a number of devices, including desktop, tablets and smartphones. While marketers have already designed emails to fit the screen of any device their audience uses, kinetic email enables them to develop content that is more interactive and dynamic. Rather than an immediate gateway to the website, consumers can explore the brand’s offerings without leaving their inbox. For example, retail marketers can use carousel navigation to showcase color and size choices within the email. This is not only more convenient for the consumer, but cuts down on the steps to purchase. But how effective is it? In Cross-Channel Marketing’s Q4 2016 Email Benchmark Report, we analyzed seven brands that sent out kinetic emails in 2016, and compared the results to similar non-kinetic mailings sent by the same brands. Based on findings from our report, kinetic emails increased unique click rates by as much as 18.3 percent, and click-to-open rates by more than 10 percent. Other findings included: Email volume increased 14% percent year-over-year, while open, click and transaction rates, revenue per email and average order volumes all remained relatively stable during the same time period. Fifty-six percent of total email opens occurred on mobile phones or tablets in Q4 2016. Revenue per email increased to $0.08 in Q4 2016 compared with $0.06 the previous quarter. But don’t just take the data at face value. Test email campaigns with your own audience to see if kinetic email works for you. Roll out new designs in a staged fashion, from simple to more complex, and measure the performance of campaigns with and without kinetic designs. You can also take it a step further and test based on the type of designs, choice of products, and audience segmentation. Maybe one type of messages works better for a particular audience. At the end of the day, each consumer is unique. There isn’t a one size fits all approach. Marketers can leverage our data and insights to better understand how consumers in specific verticals respond to email, and adjust their marketing campaigns accordingly. Consumer preferences change constantly. It’s the marketers who can adapt and deliver messages that resonate that will stay ahead of the competition. Download a complimentary copy of the email benchmark report and learn more about kinetic emails.