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Technology is pushing the boundaries of commerce like never before. Artificial intelligence (AI) is one of the primary driving technologies at the forefront of the commerce evolution, using advanced algorithms to revolutionize marketing and personalize customer experiences. As of 2024, AI adoption in e-commerce is skyrocketing, with 84% of brands already using it or gearing up to do so.
This article explores the AI revolution coming to commerce, focusing on what makes AI a driving force for e-commerce in particular, and the ways it’s reshaping how businesses engage with consumers.
Understanding the AI revolution in commerce
AI is quickly reshaping commerce as we know it by democratizing access to sophisticated tools once reserved for large corporations, breaking down functional silos within organizations, and integrating data from multiple sources to achieve deeper customer understanding. It’s paving the way for a future where every brand interaction is uniquely crafted for the individual, powered by AI systems that anticipate preferences proactively.
AI is a broad term that encompasses:
- Data mining: The gathering of current and historical data on which to base predictions
- Natural language processing (NLP): The interpretation of human language by computers
- Machine learning: The use of algorithms to learn from past experiences or examples to enhance data understanding
The capabilities of AI have significantly matured into powerful tools that can improve operational efficiency and boost sales, even for smaller businesses. They have also fundamentally changed how businesses interact with customers and handle operations. As AI continues to develop, it has the potential to provide even more seamless, personalized, and ethically informed commerce experiences and establish new benchmarks for engagement and efficiency in the marketplace.
Four benefits of the AI revolution coming to commerce
Major commerce players like Amazon have benefited from AI and related technologies for a while. Through machine learning, they’ve optimized logistics, curated their product selection, and improved the user experience. As this technology quickly expands, businesses have unlimited opportunities to see the same efficiency, growth, and customer satisfaction as Amazon. Here are four primary benefits of AI adoption in commerce.
1. Data-driven decision making
AI gives businesses powerful tools to analyze large amounts of data more quickly and accurately than a person. Through advanced algorithms and machine learning, AI can sift through historical sales data, customer behavior patterns, and market trends to uncover insights and suggest actions that might not be immediately obvious to human analysts. By transforming raw data into actionable insights, AI empowers businesses to make more informed decisions, reduce risks, and capitalize on opportunities.
As a real-world example, Foxconn, the largest electronics contract manufacturer worldwide, worked with Amazon Machine Learning Solutions Lab to implement AI-enhanced business analytics for more accurate forecasting. This move improved forecasting accuracy by 8%, saved $533,000 annually, reduced labor waste, and improved customer satisfaction through data-driven decisions.
2. A better customer experience
AI is set to make customer interactions smoother, faster, and more personalized by recommending products based on preferences and behaviors, making it easier for customers to find what they need.
When consumers visit an online store, AI also provides instantaneous help via a chatbot that knows their order history and preferences. These AI-powered assistants offer real-time help like a knowledgeable store clerk. They give the appearance of higher-touch support and can answer basic questions at any hour, provide personalized product recommendations, and even troubleshoot issues. Chatbots free up human customer service agents for more complicated matters, and these agents can then use AI to obtain relevant information and suggestions for the customer during an interaction.
3. Personalized marketing
Data-driven personalization of the customer journey has been shown to generate up to eight times the ROI, as data shows 71% of consumers now expect personalized brand interactions. Until AI came around, personalization at scale was complex to achieve. Now, gathering and processing data about a customer’s shopping experience is easier than ever based on lookalike customers and past behavior.
Many businesses have adopted AI to glean deeper insights into purchase history, web browsing, and social media interactions to drive better segmentation and targeting. With AI, advertisers can analyze behavioral and demographic data to suggest products someone is likely to love. Consumers can now browse many of their favorite online stores and see product recommendations that perfectly match their tastes and needs.
AI can also offer special discounts based on purchasing habits, and send personalized emails with products and content that interest customers to make their shopping experience more engaging and relevant. This personalization helps businesses forge stronger customer relationships.
Personalization across digital storefronts
Retail media involves placing advertisements within a retailer’s website, app, or other digital platform to help brands target consumers based on their behavior and preferences within that environment. Retail media networks (RMNs) expand this capability across multiple retail platforms to create seamless advertising opportunities throughout the customer journey. Integrating AI into RMNs can improve personalization across digital storefronts with personalized, relevant ads and custom offers in real time that improve the customer experience.
4. Operational efficiency
AI can also be beneficial on the back end, enabling more efficient resource allocation, pricing optimization, efficiency, and productivity.
Customers can be frustrated when they visit a store for a specific product only to find it out of stock or unavailable in a particular size. With AI, these situations can be prevented through algorithms that forecast demand for certain items. Retailers like Amazon and Walmart both use AI to predict demand, with Walmart even tracking inventory in real time so managers can restock items as soon as they run out.
AI can automate and streamline operational tasks to help businesses run smoother, faster, and more cost-effective operations. It can:
- Offload tedious data entry, scheduling, and order processing tasks for greater fulfillment accuracy.
- Analyze historical data and market trends, predicting demand to help businesses optimize inventory, reduce waste, track online and in-store sales, and prevent shortages.
- Forecast demand levels, transit times, and shipment delays to make better predictions about logistics and supply chains.
- Improve data quality using machine learning algorithms that find and correct product information errors, duplicates, and inconsistencies.
- Adjust prices based on competitor pricing, seasonal fluctuations, and market conditions to maximize profits.
- Pinpoint bottlenecks, identify issues before they escalate, and provide improvements for suggestions.
Future trends and predictions
If you want to stay ahead in e-commerce, it’s just as important to know what’s coming as it is to understand where things are today. Here are some of the trends expected to shape the rest of 2024 and beyond.
Conversational commerce
Conversational commerce allows real-time, two-way communication through AI-based text and voice assistants, social messaging apps, and chatbots. Generative AI advancements may soon enable more seamless, personalized interactions between customers and online retailers. This technology can improve customer engagement and satisfaction while providing helpful insights into preferences and behaviors for better personalization and targeting.
Delivery optimization
AI-driven delivery optimization uses AI to predict ideal routes for each individual delivery, boosting efficiency, reducing costs, promoting sustainability, and improving customer satisfaction throughout the delivery process.
Visual search
AI-driven visual search is quickly improving in accuracy, speed, and contextual understanding. Future developments may integrate seamlessly with augmented reality (AR) so shoppers can search for products by pointing their devices at physical objects. Social media and e-commerce platforms may soon incorporate visual search more prominently, allowing users to find products directly from images.
AI content creation
AI is already automating and optimizing aspects of content production:
- Algorithms can generate product descriptions, blog posts, and social media captions personalized to specific customer segments.
- AI tools also enable the creation of high-quality visuals and videos.
- NLP advancements ensure content is compelling and grammatically correct.
- AI-driven content strategies analyze consumer behavior and refine messaging to meet changing preferences and trends.
This automation speeds up content creation while freeing resources for strategic planning and customer interaction.
IoT integration
Integrating AI with Internet of Things (IoT) devices could help make the ecosystem more interconnected in the future. AI algorithms can use data from IoT devices like smart appliances, wearables, and sensors to gather real-time insights into consumer behavior, preferences, and product usage patterns. This data enables personalized marketing strategies, predictive maintenance for products, and optimized inventory management. AI-driven IoT data analytics can also streamline supply chain operations to reduce costs and inefficiencies.
Fraud detection and security
There will likely be an increased focus on the ethical use of AI and data privacy regulations to strengthen consumer trust and transparency. AI-powered systems will get better at detecting and preventing fraud in e-commerce transactions, which will heighten security measures for both businesses and consumers.
Chart the future of commerce with Experian
AI has changed how marketers approach e-commerce in 2024. With AI-driven analytics and predictive capabilities, marketers can extract deeper insights from extensive data sets to gain a clearer understanding of consumer behavior. This enables refined segmentation, precise targeting, and real-time customization of messages and content to fit individual preferences.
Beyond insights, AI automates routine tasks like ad placement, content creation, and customer service responses, freeing marketers to concentrate on strategic planning and creativity. Through machine learning, marketers can predict trends, optimize budgets, and fine-tune strategies faster and more accurately than ever. The time to embrace AI is now.
At Experian, we’re here to help you make more data-driven decisions, deliver more relevant content, and reach the right audience at the right time. Using AI in your commerce marketing strategy with our Consumer View and Consumer Sync solutions can help you stay competitive with effective, engaging campaigns.
Contact us to learn how we can empower your commerce advertising strategy today.
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A successful back-to-school campaign strategy starts with identifying the key audience segments to target. Over half of all searches related to back-to-school happen within a select group of consumers – knowing which ones can go a long way in forming an effective marketing strategy. Focus on this smaller, targeted set to maximize your efforts. With over $72 billion projected in total U.S. back-to-school retail sales this year, you can capture more spend than ever before during this big shopping season by tailoring your strategy to a smaller set of targeted shoppers. Experian data can help you make the most of your back-to-school campaigns by uncovering the top five back-to-school audiences. What separates Experian's syndicated audiences Experian’s 2,400+ syndicated audiences are available directly on over 30 leading television, social, programmatic advertising platforms, and directly within Audigent for activation within private marketplaces (PMPs). Reach consumers based on who they are, where they live, and their household makeup. Experian ranked #1 in accuracy by Truthset for key demographic attributes such as Presence of Children. Access to unique audiences through Experian’s Partner Audiences available on Experian’s data marketplace, within Audigent for activation in PMPs and directly on platforms like DirectTV, Dish, Magnite, OpenAP, and The Trade Desk. Five audience segments for 2023 Our data provides key insights into who these shoppers are and how to reach them, allowing you to create personalized content tailored to their needs. What are the top five audiences you should add to your 2023 back-to-school campaign? High-Net-Worth Households Bilingual Multi-Generational Households Suburban Savvy Shoppers Young Suburban Families Tech-Savvy Families What do these audiences look like? Who are they? Where do they shop? Let's review each audience in a little more detail. High-Net-Worth Households This group consists of households with above-average income and education levels. They often lease luxury cars, purchase products in every channel, travel extensively, and are philanthropic supporters of the arts. Key features Wealthy Highly educated Lease luxury cars Purchase products in every channel Travelers Philanthropic supporters of the arts Bilingual Multi-Generational Households Large households in multilingual neighborhoods, filled with married parents and their kids. They are financially cautious, bilingual, and participate in team sports. Key features Bilingual Large households Married with kids Financially cautious Team sports Suburban Savvy Shoppers Middle-aged couples and families who earn above-average incomes, maintain active lifestyles, and spend their money on quality home products and furnishings. Key features Affluent Athletic activities Home products & furnishings Sporting goods High-priced children’s clothing Young Suburban Families This segment includes households in the middle child-rearing stages of life, typically with a dual income household and multiple children of school age. They typically have spacious single-family residences in suburban neighborhoods that are slightly above average in housing values. On weekends, these suburban young families often engage in activities like skateboarding, biking, and video games with their children. Key features Comfortable lifestyle Children’s games Wholesale members Family-centric activities Tech-Savvy Families Highly educated, affluent couples in their peak earning years, with a preference for both traditional and digital media, who live in upscale housing and are savvy investors and environmental philanthropists. Key features Highly educated Affluent Upscale housing Savvy investors Environmental philanthropists Tech apprentices Watch our 2024 video for tips from industry leaders for back-to-school In our new Q&A video with Experian experts, we explore changing consumer behaviors surrounding back-to-school shopping in 2024. In the video, we discuss: Anticipated shifts in consumer behaviors and shopping habits Tactics we predict marketers will employ to navigate signal loss Which channels will be the most successful And more! Watch now Need a custom audience? Reach out to our audience team and we can help you build and activate an Experian audience on the platform of your choice. Additionally, work with Experian’s network of data providers to build audiences and send to an Audigent PMP for activation. Contact us Latest posts

The AdTech industry is undergoing rapid changes as it adjusts to the impacts of data deprecation and ever-changing privacy regulations. At the same time, there are fears of a potential economic downturn. How should you handle marketing in a recession? What should your marketing mix look like? In this blog post, we'll cover how to navigate this uncertainty and three essential ingredients for your marketing mix. First, we'll look at the complexity and uncertainty facing marketers. Turbulence with Twitter After Elon Musk's Twitter takeover in October 2022, half of Twitter's top 100 advertisers left the platform and started to seek out alternatives. The retail media boom In the next four years, Forrester Research projects that U.S. retail media ad sales will double to reach 85 billion by 2026.1 Most of this growth is catalyzed by CPG and consumer electronic brands that have a scarcity of zero- and first-party data; they need more media closer to the point of purchase, especially as CFOs are scrutinizing budgets. Consumption continues to fragment It's becoming harder than ever to reach the right person, at the right time, predict their intent, and get a 360-degree view of your customer.2 Data deprecation is top of mind According to Forrester Research, updating their data strategy to address data deprecation is the number one priority for marketers. Addressing data deprecation is also a priority for consumers, who increasingly feel that audience targeting is more intrusive than beneficial.3 Data deprecation affects identity solutions Third-party data and mobile ad IDs (MAIDs) are the connective tissue for identity solutions. As we see those signals go away, there are fewer linkages to resolve identity and it's leading to a rise in fragmented, duplicated, and shallow identity. Recession fears In addition to everything happening in AdTech, there are also fears of a possible recession. According to Forrester, 40% of Gen Z and 41% of Millennials believe fears of an upcoming recession are greatly exaggerated. On the other hand, only 24% of Gen X and 12% of Baby Boomers agree.4 Navigate uncertainty and marketing in a recession With the current macroeconomic conditions, data deprecation, and fragmented consumption in mind, what should your strategy look like for marketing in a recession? Forrester recommends three strategies: People-led planning Test creative Optimize for marginal costs People-led planning Planning doesn't have to be fragmented. Map offline and online media exposures to consumer decision journeys. Strategies like lifetime value (LTV) driven audience segmentation to correlate awareness at top of the funnel layered with demand generation exposures harvested later in the funnel. To do this, it's crucial to work with providers that give you visibility into the audience buyer's journey to awareness, intent, consideration, and purchase, all the way through to loyalty.5 Test creative Make your creative work harder for you. Apply the same rigor with your creative that you applied to segmentation. Utilize multivariate testing to identify creative that is winning or losing. When you understand how each variable performs, you can scale the variables with creative optimization to have a material impact on performance. Optimize for marginal costs Optimize for marginal costs of acquisition, not just the average. Adjust for incrementality – what is the cost to acquire one more customer, rather than the average cost of acquisition. Find the right marketing mix in a recession With these changes in mind, how can you find the right marketing mix in a recession? We can show you the way. You can create the right marketing mix with three key ingredients: Audiences Identity Activation Let’s explore each ingredient to start you down the path toward marketing campaign success. Audiences: Know your customer The first ingredient to add to your marketing mix in a recession is your audience. Knowing your customer is key to targeting the right audiences successfully. Data-driven targeting can help you find your best audiences based on demographics, modeled lifestyles, and behaviors to improve marketing campaign performance. Not sure where to start when it comes to developing your target audience strategy? We can help. We track digital usage of our data used by advertisers and identified the top four digital audiences that advertisers purchased over the last four years. Four digital audiences to consider Marketing strategies are only as strong as the data foundation they’re built on. The top four digital audiences that advertisers are purchasing from Experian include: Demographics Behavioral Modeled Lifestyles Custom Audiences Demographics Examples include age, gender, relationship status, living situation, life experience, and employment. Behavioral This audience allows marketers to identify households that are more likely to engage in certain activities or belong to certain groups. Modeled Lifestyles Experian’s Mosaic® USA segmentation. This is a household-based consumer lifestyle segmentation system that classifies all U.S. households and neighborhoods into 71 unique types and 19 overarching groups, providing a 360-degree view of consumers’ choices, preferences, and habits. Custom Audiences This is an audience blended from multiple sources or derived from first-party look-alike modeling. Changes in digital audience strategies Over the last four years, Modeled Lifestyles and Custom Audience purchases represented the smallest share of digital activation, while Behavioral and Demographic segments were more popular with advertisers. When the U.S. rolled out the COVID-19 vaccine, consumers became more active. People were shopping in stores, returning to the gym, and taking trips that they had postponed during the height of the pandemic. Marketers turned to higher compositions of Demographic and Modeled Lifestyles to reach these audiences between April and December of 2021. Sustained growth in Demographic audience activation could suggest a move back to tried and true audience strategies as signals continue to decline and amid evolving regulation. With economic uncertainty, marketers return to what they know. Traditional targeting methods like Demographics and Modeled Lifestyles are the baseline of many marketing strategies and we predict that we will continue to see marketers activating against these data sets. Download our 2023 digital audience trends and predictions report to discover our full insights on how digital activation has changed and where we’re headed. Identity: Understand the customer journey Identity resolution is the next ingredient that you should add to your marketing mix in a recession. It should be a foundational element of every marketer's strategy. What is identity resolution? In the simplest terms, identity resolution is the process of matching different devices, IDs, and touchpoints back to a single person. Identity resolution expands marketers' addressability and reach of their target audience and helps inform and measure accurate customer journeys. Identity resolution challenges Identity resolution faces two main challenges: Making the data actionable. Humans are complex. We have behaviors that change based on our current social groups and life events, we use dozens of internet-connected devices in a single day, and we exhibit distinct behaviors that happen online and in the physical world. This means marketers have mounds of data being collected from different channels based on that dynamic behavior of people, making it feel impossible to organize the data in a way that makes it feel actionable, know how it ties back to real humans, and ensure they're doing it in a responsible and compliant way. Signal loss. Marketers continue to lose important signals that they've previously been able to rely on to inform their next move. Signals are being lost as our industry places more privacy regulations and restrictions on what can be tracked and as consumers themselves change behaviors to protect their privacy. As consumer behaviors continue to change and signals disappear, identity resolution gets exponentially harder. Expand addressability and reach with identity resolution Data deprecation adversely affects identity solutions, but identity resolution should be a key ingredient in your marketing mix. Identity resolution ensures that consumers experience more relevant products, offers, and messaging – allowing you to reap the ROI benefits of hitting consumers at the perfect point in their journey. Finding an identity resolution partner When selecting an identity resolution partner, you should understand the data and processes that are implemented behind the scenes. It's important to know: What makes up their consumer database? How fresh is their data? What identifiers can they match? How do they protect consumer privacy? At Experian, we're rooted in deterministic offline data which creates a stable foundation. We then layer in digital and behavioral touchpoints. We have decades of experience managing consumer data safely. We have insights on 250 million individuals, three billion devices, and one trillion device signals. Our databases evolve as quickly as the human behavior powering them does. Our approach to identity resolution is open and agnostic. This means we can collect and ingest nearly all available offline and online identifiers. We can do this in all types of environments, including connected TV (CTV), mobile, and cookieless. We have two types of identity resolution: Offline Digital This ensures we control how known and anonymous data points are connected for consumer privacy purposes. Identity resolution in action Our depth of data gives our clients access to see the whole human and gain the context around singular data points. Let's walk through an example of our identity resolution capabilities. Challenge Our TV media platform client needed to measure the effectiveness of an ad campaign they were running on behalf of a leading consumer electronics brand. The TV platform wanted to be able to accurately report on which consumers made a purchase after seeing the brand’s TV commercial on their platforms. Solution Using our digital identity resolution services, our client could capture online purchases made on the brand’s website and link them back to a consumer profile. In addition to online transactions, our client used our offline resolution services to resolve email addresses of consumers that purchased offline, using warranty registration details. With online and offline purchase data now resolved back to an individual ID, we also performed identity resolution on viewers in their TV subscriber files that had also been exposed to the TV commercial. This allowed us to identify subscribers that had both seen the ad and purchased a product. We provided our client with a packaged report that they could white-label and pass along to the brand. Results By providing this attribution reporting to the brand, the TV platform could validate the ROI spent on their platform. The brand was extremely satisfied with the results, and they transitioned the one-off TV commercial into an ongoing campaign and purchased quarterly measurement. This led to solid recurring revenue for the TV platform. Activation: Experiment and measure the impact The third and final ingredient to finding the right marketing mix in a recession is activation. Experimentation is the best way to determine which channels work best for your business and provide the most ROI. Demand-side platforms (DSP), video platforms, and sell-side targeting are three important activation channels that you should consider experimenting with. Demand-side platforms We continue to see increased demand for environments where alternative identifiers are being transacted (like DSPs and video). Social channels are decreasing; this can be attributed to changes in privacy, security, and concerns around brand safety. Amazon’s DSP is catching up with Google and Meta to become a top ad platform. Video platforms Digital video and other video channels like over-the-top (OTT) and CTV will continue to grow. Digital video will capture the most ad spend in 2023 (22.4% in 2023 vs 19.3% in 2022). Because of this, advertisers are placing bigger bets on the combination of addressable and CTV. Sell-side targeting Data sharing relationships will become strongest on the sell-side as we move toward consented first-party data. Ad dollars are shifting to channels that use the sell-side approach, like retail media and CTV. Sell-side targeting enables brands to access large amounts of inventory across publishers and retailers. By getting closer to the ad inventory, advertisers can future-proof their strategies by having more access to better data signals. Direct relationships like these will be necessary as privacy regulations increase and signal loss continues. We can help you find the right marketing mix in a recession Now is the time to be opportunistic. Gaining share of voice during a downturn is cost-effective. Proactive marketing builds pent-up demand. Delivering the right message in the right place at the right time means truly knowing your prospects and customers as individuals. At Experian, we bring you the highest-resolution picture of people, so you and your customers can connect with confidence. You can turn prospects into customers with the right audience. By understanding your customers better, you can find more like them. Together we can power better results. Get started Find the right marketing mix Check out our webinar, "Find the right marketing mix with rising consumer expectations." Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joined Experian experts Erin Haselkorn and Eden Wilbur. Watch the recording to learn: New data on the complexity and uncertainty facing marketers Consumer trends for 2023 Recommendations on finding the right channel mix and the right consumers Watch now Get in touch Sources 2022 Retail Media Ad Sales Forecast, US. Forrester Research, Inc. 2022. Forrester Analytics Consumer Technographics® Technology, Media, and Telecom Topic Insights 1 Survey. Forrester Research, Inc. 2020. CMO Pulse Survey. Forrester Research, Inc. July 2021. Forrester's Consumer Energy And Retail Online Survey. Forrester Research, Inc. People-Led Planning Solves Customer Problems to Drive Growth. Forrester Research, Inc. August 2, 2021. Latest posts

In our last few blog posts, we’ve talked about customer segmentation and different ways to segment your target audience into smaller chunks like demographic and psychographic segmentation to connect with the right people. Customer segmentation enables marketers to focus their marketing efforts on their target customers, improving their marketing targeting strategy. But what if there was a subset of users that had an even bigger impact when targeted? Enter Super Users – the strategic players who can give your ROI numbers a major boost! It may take some trial-and-error testing to pinpoint these super segments accurately, but knowing how these key individuals interact is essential for any successful marketing targeting strategy. What is a Super User? As technology progresses and media consumption grows, a unique group is rising to the top. Activate Consulting's Technology & Media Outlook 2023 found that Super Users are powering the digital world, with a strong presence across all major media and technology verticals. This select crowd is made up of young, educated individuals who lead affluent lifestyles – spending more time and money than any other user group! Why should you add Super Users to your marketing targeting strategy? Super Users are a highly influential audience with the potential to drive major business growth. They stand out from other users in their commitment and dedication across four key areas: Time spent with media Spend Technology and media adoption Emerging eCommerce behaviors “Over the next years, the imperative for technology and media companies will be to identify, reach, and super-serve Super Users – the single group of power users whose time and spend far surpass those of other users.”Activate consulting's technology & media outlook 2023 You can use Super Users as a subset of your marketing targeting strategy. While you may need to reach beyond Super Users to achieve your goals, it’s worthwhile to consider: Targeting them separately Spending more on media Reaching them at a higher frequency Time spent with media Super Users make a powerful impact, despite comprising only 22% of the U.S. population. They are incredibly influential in terms of media consumption and engagement – spending more than double the amount of time interacting with content compared to other users. Inclined to multitask Super Users take multitasking to the next level. Not only do they spend more time with electronics, but they excel in the art of juggling multiple activities. While watching videos and playing video games on one device, Super Users might also be busy engaging with social media on another. This makes them an unstoppable force when it comes to getting the most out of their digital experiences! High share of dollar spend Super Users are big spenders when it comes to media, particularly in gaming and music. Compared with all other users, Super Users' average video spend is close to triple the amount ($76 vs $27). However, their biggest increases come from gaming and music; they're collectively spending 12x more on games and shelling out 21x as much for tunes! With 60% of eCommerce spend coming from Super Users, they are driving the industry forward with their enthusiasm and willingness to test out cutting-edge shopping trends like buying through social media, live streaming purchases, and trying on products virtually. Super Users are setting the tone for this dynamic industry. Technology and media adoption Most Super Users are brand advocates. They’re trendsetting individuals who stay ahead of the curve on media and technology. They eagerly take advantage of new products, services, and data-sharing opportunities to receive tailored ads that fit their lifestyle. Crypto & NFTs Super Users blaze the trail for cryptocurrency and non-fungible tokens (NFTs)! This group is five times more likely to explore, engage with, and embrace new digital-monetary technologies. Pioneers of the Metaverse As Metaverse usage continues to rise, Super Users are leading the way. Over 80% of these trailblazers have embraced these digital spaces within just the last year. We’re seeing accelerated interest from them as they seek out new opportunities for creativity, connections, and transactions within their favorite Metaverses. Many express interest in Metaverse experiences such as purchasing physical items to creating virtual havens. In fact, they’re 5x more interested in all things meta-related! How Experian can help you identify and target Super Users So how can you find your Super Users and include them in your marketing targeting strategy? Whether you want to build or acquire highly addressable audiences, we can help you precisely reach the right individuals and households in any channel you desire with Consumer View. Consumer View It all starts with data. Delivering the right message in the right place at the right time means truly knowing your prospects and customers as individuals – their lifestyles, behaviors, and shopping preferences. Consumer View data can provide a deeper understanding of your customers. Consumer View is the world’s largest consumer database that contains over 3,900 attributes for 250 million adult consumers in the U.S. with coverage of 126 million (98%) of U.S. households. Consumer View can help you find out: What do your customers look like? What do your customers do? How and when should you reach your customers? What motivates your customers? Modeled and syndicated audiences We have over 2,500 pre-built audiences that are privacy-safe and built using advanced data science and the most comprehensive consumer data available. These digital audiences are readily available via major publishers, data management platforms (DMPs), advanced TV operators, and demand-side platforms (DSPs). Our pre-built audiences can be used consistently across multiple distribution partners – making sure you can quickly find the right audience for the right campaign without having to build your own consumer personas. In addition to being available as digital audiences, our segmentation products are also available to use across all consumer touchpoints to enable consistent omnichannel campaign targeting. There are infinite data combinations and selections we can help you with for optimal audience targeting. Using our comprehensive inventory of data, we can find even the most unusual of audiences to help you connect with new prospects. From demographics to behavioral and psychographic information, we draw on a massive base of knowledge accumulated during five decades in business. Mosaic® USA Experian’s Mosaic® USA is a household-based consumer lifestyle segmentation system that classifies all U.S. households and neighborhoods into 71 unique types and 19 overarching groups, providing a 360-degree view of consumers’ choices, preferences, and habits. Using Mosaic lifestyle segmentation, you can anticipate the behavior, attitudes, and preferences of your best customers and reach them in the most effective traditional and digital channels with the right message in the right place at the right time. Tailored Segmentation uses a sophisticated data-driven clustering system that leverages the 71 Mosaic types that match to first-party data like yours. Tailored Segmentation allows you to regroup Mosaic types based on the attributes you weigh as more impactful to your business. Have you designed your own segments in-house? You can apply Tailored Segmentation to those segments for deeper insights through a tailored analysis. Are you still looking for a way to segment your market even though you understand your typical best customer? Tailored Segmentation can weigh these attributes and develop a custom clustering and analysis of your market. We can help you find your Super Users Super Users are an important segment of any market. Marketers need to be able to identify them quickly and act upon their insights. Our marketing solutions provide the necessary data and analytical capabilities to easily find and target your potential Super Users for an effective marketing targeting strategy. With Experian, you can deliver messages that are more in line with what matters to this influential group of customers. We understand how challenging it can be to find these customers and ensure they get the tailored, personalized messaging they deserve – so let us help you do just that! We can provide deep insights beyond the generic customer persona that allows marketers to look into the effectiveness of their marketing strategies from multiple angles. We want to help you gain an edge over your competitors by helping you identify, target, and engage Super Users for increased revenue growth. Ready to find your Super Users? Get in touch Enhance your marketing targeting strategy today! Sources Activate Technology & Media Outlook 2023. Activate Consulting. Latest posts