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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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It's almost the start of a new year, so it's time to plan your 2025 marketing strategy. One-third of U.S. adults planned to make a New Year's resolution in 2024, with adults under 30 being the most likely to do so. From living healthier lifestyles to traveling more often, there is an opportunity to capture customers with well-targeted messaging. But how do you know which audiences are most interested in these goals? In this blog post, we’ll reveal audience segments designed for you to reach the most relevant shoppers for your New Year’s resolutions campaigns according to shoppers' goals and resolution categories. You can find the complete audience segment name in the appendix. Start the year strong with Experian's audience insights With the New Year almost upon us, it’s the perfect time for a fresh start. Utilize Experian’s syndicated audiences to ensure your marketing messages resonate with your ideal customers. 2,400+ syndicated audiences powered by marketing data ranked #1 in accuracy by Truthset offers advertisers the ability to reach people based on demographic, geographic, and behavioral attributes. Our audiences span 15 data categories including auto, retail purchases, lifestyles and interests, financial, and travel. Audiences are available on-the-shelf on 30+ major ad platforms, including TV, social, and programmatic, or distribute them to 200+ media platforms. Five New Year's resolution audience categories to embrace this new year There are many different types of New Year's Resolutions that people set come January 1st. Here are five common New Year's Resolutions: Healthy habits Get organized Explore new experiences Live life to the fullest New Year’s budgeteers Let's break down each resolution category and which audiences you can use to target consumers based on their New Year’s resolutions. Healthy habits A significant portion of consumers set their sights on adopting healthier lifestyles and maintaining newfound habits. Target audiences could include those who have recently purchased gym memberships and are shopping at health stores, demonstrating a commitment to their resolutions. Here are five audience segments that you can activate to target consumers focused on healthy habits in the new year: NEW! New Year's Health/Fitness/Gym Membership Shoppers NEW! Frequent Gym Goers Vitamins/Supplements Shoppers New Year's Food/Healthy Food Shoppers New Year's Vitamins/Diet Supplement Shoppers By strategically targeting these segments, your marketing efforts are more likely to resonate with those determined to make a year of lasting, healthy change. Get organized Many consumers pledge to declutter and get organized. One key target audience could consist of those who have recently purchased organizational tools or storage solutions. Additionally, consider reaching out to homeowners or individuals in the midst of a major life change, such as moving or expanding their families, as they often seek ways to simplify and organize their spaces. Here are seven audience segments that you can activate to target consumers focused on getting organized in the new year: NEW! Furniture and Home Decor: Deals Discounts Affordable High Spend Spenders Shoppers NEW! Post Holiday Shoppers Household Goods: Frequent Spenders Home Improvement/DIY: Frequent Spenders Furniture & Home Decor In Store: Frequent Spenders Garden & Landscaping Stores: Frequent Spenders Hardware & Home Improvement Stores: In Store Frequent Spenders To expand or reach new audiences, you can layer in purchase predictors to reach those who are likely to spend on home maintenance and improvement products or are expanding their families. Home Maintenance and Improvement Explore new experiences Many consumers want to embark on a journey of self-improvement by exploring new experiences, whether it's picking up a new hobby or visiting a place they've never been. One primary target audience could be vacation and leisure travelers, as they often seek new destinations and opportunities to make the most of their seasonal getaways. Additionally, sports enthusiasts are always looking to boost their outdoor adventures through fresh experiences and specialized equipment. Here are six audience segments that you can activate to target consumers focused on exploring new experiences in the new year: Play Golf Pickleball Enthusiast Wilderness Sports and Camping Enthusiasts Activities: Camping Summer Airline Travel Summer Travel: Vacation/Leisure Live life to the fullest A considerable number of individuals make resolutions aimed at embracing life to the fullest. One prime target audience includes those who have recently booked travel experiences or adventures, showcasing their commitment to exploring new horizons. Additionally, consider reaching out to individuals who are likely to visit sports stadiums and arenas. Here are seven audience segments that you can activate to target consumers focused on living life to the fullest in the new year: NEW! Budget Savvy Air Travelers Air Travel: Frequent Spenders Cruises: Frequent Spend NFL Stadium Visitors Ski Resort Visitors Vacation/Leisure Travelers: Weekend Getaways Culinary Experience To expand or reach new audiences, you can layer in purchase predictors to reach consumers who are likely to spend on travel and travel-related products. Travel New Year's budgeteers As the new year begins, many consumers are rethinking their finances and seeking smarter ways to spend and save. These audiences are focused on achieving their financial goals by utilizing budgeting tools, finding flexible payment options, and taking control of their debt. With financial wellness top of mind, they are ready to explore solutions that align with their resolution to be more financially savvy. Here are seven key audience segments that reflect the mindset of consumers eager to make 2024 a year of financial empowerment: In market for Buy Now Pay Later In market for Mortgage Refinance In market for Auto Loan Refinance Credit Card High Utilization Likely to Transfer Credit Card Balance Loyal Rewards Enthusiast, Low Credit Card Balance Secure, Savvy Credit User, High Home Equity Balance We can help you reach consumers in the new year Connect with consumers pursuing their New Year's resolutions to kick off 2025. Whether your audience seeks to embrace healthy habits, get organized, explore new experiences, budget their personal finances, or live life to the fullest, Experian Marketing Data provides a solid foundation for targeting, enrichment, and activation As we get ready for 2025, let the power of Experian’s data-driven insights guide your marketing strategies, helping consumers turn their resolutions into reality. Connect with our audience team You can activate our syndicated audiences on-the-shelf of most major platforms. For a full list of Experian’s syndicated audiences and activation destinations, download our syndicated audiences guide. Explore our other seasonal audiences that you can activate today. View now Appendix Here are the complete audience segment names (taxonomy path) for all audience segments discussed in this blog post. Healthy habits NEW! Retail Shoppers: Purchase Based > Seasonal > New Year's Health/Fitness/Gym Membership Shoppers NEW! Retail Shoppers: Purchase Based > Health and Fitness > Frequent Gym Goers Retail Shoppers: Purchase Based > Health and Fitness > Vitamins/Supplements: Vitamins/Supplements Retail Shoppers: Purchase Based > Seasonal > New Year's Food/Healthy Food Shoppers Retail Shoppers: Purchase Based > Seasonal > New Year's Vitamins/Diet Supplement Shoppers Get organized NEW! Retail Shoppers: Purchase Based > Home Furnishings > Furniture and Home Decor: Deals Discounts Affordable High Spend Spenders Shoppers NEW! Retail Shoppers: Purchase Based > Seasonal > Holiday Shoppers: Post Holiday Shoppers Purchase Transactions > Household Goods > Frequent Spenders Purchase Transactions > Home Improvement/DIY > Frequent Spenders Retail Shoppers: Purchase Based > Home Improvement & DIY > Furniture & Home Decor In Store: Frequent Spenders Retail Shoppers: Purchase Based > Home Improvement & DIY > Garden & Landscaping Stores: Frequent Spenders Retail Shoppers: Purchase Based > Home Improvement & DIY > Hardware & Home Improvement Stores: In Store Frequent Spenders Purchase Predictors > Shoppers All Channels > Home Maintenance and Improvement Explore new experiences Lifestyle and Interests (Affinity) > Activities and Entertainment > Play Golf Retail Shoppers: Purchase Based > Sporting Goods, Apparel > Pickleball Enthusiast Retail Shoppers: Purchase Based > Outdoor Activities > Wilderness Sports and Camping Enthusiasts Travel Intent > Activities > Camping Retail Shoppers: Purchase Based > Seasonal > Summer Airline Travel Retail Shoppers: Purchase Based > Seasonal > Summer Travel: Vacation/Leisure Retail Shoppers: Purchase Based > Travel > Vacation/Leisure Travelers: Summer Trips Live life to the fullest NEW! Retail Shoppers: Purchase Based > Seasonal > Budget Savvy Air Travelers Retail Shoppers: Purchase Based > Travel > Air Travel: Frequent Spenders Retail Shoppers: Purchase Based > Travel > Cruises: Frequent Spend Mobile Location Models > NFL Stadium Visitors Mobile Location Models > Ski Resort Visitors Retail Shoppers: Purchase Based > Travel > Vacation/Leisure Travelers: Weekend Getaways Travel Intent > Activities > Culinary Experience Purchase Predictors > Shoppers All Channels > Travel New Year’s budgeteers Financial > In Market > Buy Now Pay Later Financial FLA Friendly > In Marketing Mortgage Refinance Financial FLA Friendly > In Market Auto Loan Refinance Financial FLA Friendly > Credit Card High Utilization Financial FLA Friendly > Likely to Transfer Credit Card Balance Financial Personalities > Credit Card Financial Personality > Loyal Rewards Enthusiast, Low Credit Card Balance Financial Personalities > Home Equity Financial Personality > Secure, Savvy Credit User, High Home Equity Balance Latest posts

Brands are increasingly focused on offering personalized experiences while respecting consumer privacy. Addressability enables them to reach specific audiences with relevant messages, and personalization crafts unique content that aligns with each audience's interests and needs. By combining these strategies, brands can create more relevant and effective marketing campaigns. With new regulations and signal loss reshaping the landscape, alternative identifiers like the ID5 ID and The Trade Desk's Unified I.D. 2.0 (UID2) are gaining importance. These tools give advertisers a more holistic view of consumers across channels, enhancing personalization and addressability even as traditional third-party cookies lose relevance. To shed light on this topic, we interviewed experts from Audigent, Basis Technologies, CvE, ID5, MiQ and others. They shared insights on navigating privacy, utilizing new identifiers, and enhancing personalization with consent. Drawing from their perspectives, we've identified five considerations to help brands adapt and succeed in this evolving landscape. 1. Embrace a privacy-centric approach With the increasing focus on consumer data protection, prioritizing privacy in your addressability efforts is essential. Implement strict data guidelines to protect personally identifiable information (PII) and maintain compliance with state-specific regulations. To achieve this, empower consumers by providing clear and transparent choices about data sharing and honoring their preferences. Avoid targeting based on protected categories or sensitive information. By adopting a privacy-first mindset, you can build consumer trust while still delivering relevant advertising experiences. “It's important to champion consumer privacy and the free internet. We need to strike a balance between the two. This balance is essential for our jobs, the economy, news, politics, and all the valuable content and information we rely on.”Drew Stein, Audigent 2. Personalize with consent Consumers are more willing to share their information when they see clear benefits. In fact, over half of shoppers—and two-thirds of Gen X and Millennials—express a desire to receive holiday shopping deals directly from their preferred brands1. By offering value through loyalty programs, special offers, or interactive platforms, you can personalize experiences without compromising privacy. To implement this strategy, encourage consumers to share their preferences and needs by being transparent and giving them control over their data. This approach builds trust, empowers your audience, and enhances personalization. “Building personalization based on the data consumers have consented to share should lead to a positive experience that drives better engagement because it's relevant to them.” April Weeks, Basis Technologies 3. Personalize with contextual targeting Contextual targeting involves delivering ads based on the content users are currently engaging with rather than user identifiers. By focusing on personalization through contextual targeting and dynamic content, you can align your strategies with your audience's real needs and interests. This approach allows advertisers to reach consumers on websites with more visitors matching the demographics, behaviors, or interests they want to target. “Personalization absolutely can thrive. We have various solutions, all utilizing IDs for targeting and personalization. Beyond that, we can also personalize using context, geo-contextual data, and creative strategies.” Georgiana Haig, MiQ 4. Use alternative identifiers As advertisers move beyond third-party cookies, exploring alternative identifiers offers reliable means to connect with consumers. Options like email addresses or device IDs provide direct connections, improving targeting accuracy. Utilize identity graphs to link different signals and identifiers to establish strong ties to individual users or households. This approach maintains, and can even enhance, your ability to reach the right audience and measure campaign performance. “It's not just about maintaining addressability. It's about massively improving addressability. When we run tests with some of our clients, they're seeing 30, 40, 50, 60% incremental reach by using ID5 versus cookies.” Mathieu Roche, ID5 5. Build partnerships Navigating the complexities of addressability doesn't have to be a solo effort. Partnerships between brands, publishers, and tech providers can lead to innovative solutions that benefit everyone. Consider engaging in data partnerships to access new audience segments without maintaining extensive data. Collaborations focused on your tech stack can enhance your ability to deliver personalized content effectively and at scale. “The rise of second-party data partnerships is going to be an interesting trend over the next couple of years. And if you need mass scale across the world, I think that's a much more cost effective and scalable way to do it.” Paul Frampton, CvE Steering toward success The future of addressability and personalization hinges on your ability to adapt to the changing privacy landscape while delivering meaningful, personalized experiences. By focusing on these five key considerations, you can navigate the complexities of modern advertising, build stronger relationships with consumers, and drive sustainable growth. Connect with our addressability experts Footnote Online survey conducted in June, 2024 among n=1,000 U.S. adults 18+. Sample balanced to look like the general population on key demographics (age, gender, household income, ethnicity, and region). Latest posts

Originally appeared on VideoNuze Connected TV (CTV) is a leading platform in digital advertising, combining the precise targeting of digital ads with the broad reach and storytelling power of traditional TV. This creates an immersive experience that offers full-funnel marketing results. As consumer time spent watching CTV has doubled over the past five years and linear TV viewing patterns have shifted, advertisers now see CTV as essential for reaching and engaging audiences. Of those CTV users, viewers increasingly choose to watch content with ads. By 2025, free ad-supported streaming TV (FAST) viewers will increase to 49% of CTV users, further highlighting the opportunity for marketers to captivate audiences in ways standard digital display ads can't match. With the explosion of consumer time spent and advertising dollars following, making CTV more addressable and targeted requires a combination of identity and audience. Historically, the IP address has been the most popular way to target a household with a CTV (e.g., LG, Samsung, Vizio device) or streaming platform (e.g., Disney+, Paramount+, Roku, Amazon Prime, etc.). As IP addresses continue to fluctuate in terms of durability, consistency, and type, including the increased adoption of IPv6, we have seen a new incumbent enter the CTV ecosystem: Unified ID 2.0 (UID2). UID2 stands out as a particularly valuable tool for CTV advertisers. It provides a standardized way to identify and target users across CTV and traditional channels like display and mobile while respecting consumer privacy. Given that purchases might not occur on CTV, UID2's ability to link ad exposure on CTV to conversions on other devices is crucial for demonstrating a CTV campaign's true impact. Authenticated audiences are key to CTV's appeal A significant advantage of CTV is its high rate of logged-in, authenticated users. This provides marketers with reliable first-party data for targeting and measurement purposes. UID2 benefits from this since it's a universal identifier based primarily on first-party data, such as people’s email addresses and phone numbers. Authenticated viewers can also be connected across different devices, enabling marketers to understand the full customer journey, which helps attribute conversions more accurately to CTV ads. Key advantages of CTV for digital marketers Superior viewing experience: Larger screens and a captive audience watching high-quality on-demand content Authenticated users: Enables precise audience targeting, more personalized ad experiences, and enhanced cross-device attribution Value exchange: Viewers get cost-effective content with personalized ads, leading to higher engagement "Authenticated viewers and universal IDs like UID2 are revolutionizing CTV advertising, enabling the effective delivery of personalized content and ensuring strong engagement for marketers; Paramount is committed to optimizing across platforms and will continue to utilize tools and advancements that maximize reach for our partners and improve the user experience for our viewers."Travis Scoles, Executive Vice President, Paramount Advertising The role of universal IDs in CTV advertising Universal IDs, like UID2, play a critical role in CTV by ensuring consistent user identification across platforms while respecting privacy. Adoption of UID2 is gaining traction in the TV industry, with brands such as AMC Networks, Disney, Dish Media, FreeWheel, NBCUniversal, Roku, and Paramount integrating it into their digital advertising ecosystem. As authentication increases across traditional digital and mobile apps, especially CTV, universal IDs like UID2 enable cross-device and cross-channel identity strategies without cookies. This is especially important as traditional identifiers like third-party cookies and IP addresses face an uncertain future. Better understand and reach your audience with identity graphs For CTV ad spending to catch up to time spent with CTV, the industry must use these authenticated signals and universal IDs. Identity graphs, like Experian’s, integrate various identifiers (e.g., universal IDs, CTV IDs, IP addresses), allowing CTV platforms to understand relationships between households, individuals, and devices. This understanding enables: Publishers using universal IDs can make advertising on their platform more addressable, which will lead to higher demand. Marketers can achieve greater precision with cross-device targeting, cross-channel frequency management, and more holistic measurement since conversions often happen on non-CTV devices. Viewers receive a more personalized ad experience (without seeing the same ad repeatedly), which will increase engagement with a marketer's campaign. Watch our Ask the Expert video with The Trade Desk to deepen your knowledge on CTV advertising and UID2. Watch the video here Latest posts