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As marketers gear up for the 2025 holiday season, economic turbulence, tariffs, and shifting digital habits are changing how and where consumers shop. Black Friday and Cyber Monday are still set to be the crown jewels of retail, but winning this year means leaning into data, omnichannel activation, and tools that help you do more with less as you start your Black Friday planning.
Let’s explore this year’s Black Friday trends in relation to last year’s and how to make the most of every opportunity in the 2025 holiday season.
Spending trends we saw in 2024
After years of economic uncertainty, Black Friday 2024 marked a return to retail “normalcy” with record-setting online and in-store shopping that reflected growing optimism and smarter behaviors:
- Online Black Friday sales increased by 10.2% from 2023, largely due to better-timed deals and earlier shopping.
- Mobile shopping made up 69% of global purchases.
- In-store traffic rebounded, surpassing online during Cyber Week for the first time in years.
- Buy now, pay later (BNPL) added $686 million to online sales — an 8.8% YoY increase — as consumers spread out their holiday spending.
- Retailers using AI tools (like chatbots and shopping assistants) saw up to 15% more conversions.
Ultimately, last year’s Black Friday e-commerce trends showed that shoppers prioritized flexible payments, value, and easy, personalized buying experiences.
Key products and categories in 2024
After years of favoring lower-cost essentials, consumers returned to higher-ticket purchases during Cyber Week. The share of expensive goods sold online rose over 15% compared to pre-season figures, with AI-powered product recommendations leading consumers to top-selling products like:
- AirPods Pro
- Ninja Creami
- Our Place Always Pan
- Vitamix blenders
- Oura Ring
The highest-performing gift categories included electronics, apparel, furniture and bedding, groceries, and cosmetics.
2024 Black Friday trends we expect to continue in 2025
As we reflect on a record-breaking 2024 holiday season, we predict many of the key Cyber Monday trends and Black Friday strategies for retailers in 2024 will carry over and intensify in 2025:
- Mobile will remain the primary shopping channel.
- The shift to early shopping will persist.
- AI-driven efficiencies will play an increasing role.
- Retailers that focus on the customer experience will capture the most wallet share.
As a marketer, you can use these insights to plan your Black Friday e-commerce strategy and meet audiences where and when they scroll and shop.
Projected growth YoY
While 2025 holiday retail shopping may not match the explosive growth of 2023 to 2024, consumers are still expected to show up in force for Black Friday in 2025. The National Retail Federation projects that overall U.S. holiday sales will rise between 2.7% and 3.7% compared to last year.
Experian’s 2025 Q1 consumer data paints a more nuanced picture:
- Mass retail transactions remain above 2024 levels, but YoY growth is slowing, from +8% in January to +4% in May.
- Department stores, which grew 10% YoY in January, have since declined to -3% by May.
- Apparel saw a similar trajectory, slipping from +7% growth in Q1 to slightly negative growth leading up to the summer months.
This slowdown suggests early signs of consumer fatigue, especially in discretionary categories, as inflation and tariffs continue to erode the spending power of price-sensitive consumers and small brands that rely heavily on imports.
Emerging trends and behaviors to expect in 2025
With inflation still weighing on household budgets and new tariffs potentially reducing consumer spending power by up to $78 billion, brands and shoppers are entering the holiday season with uncertainty. Roughly 91% of consumers may adjust their buying habits in response to tariff-driven price increases and inflation.
Consumers are still motivated by value, but they’ll expect more for their money and may start deal-hunting even earlier this season. You’ll need to be agile with your messaging, inventory, and budget allocation, as shoppers will still spend when the experience is seamless, personalized, and smart.
Let’s explore the key trends shaping the 2025 holiday season and how you can build them into your omnichannel marketing plan before the rush hits.
Omnichannel campaigns
In 2025, holiday shoppers will be more intentional than impulsive, which means they may zigzag between channels —browsing products on TikTok, watching TV ads, researching on Google, and checking out in-store or online before purchasing. They’ll want consistent, personalized experiences no matter where they engage.
This means you can’t rely on a single sales touchpoint anymore and must deliver a seamless experience wherever your audience spends time. Forrester shows 21% of global B2C leaders are already prioritizing omnichannel, which makes it a competitive necessity.
Fortunately, these efforts pay off. Omnichannel shoppers spend 1.5x more per month than those who shop on a single channel.
How Experian helps
Experian simplifies omnichannel marketing. Our identity graph connects hashed emails, mobile ad IDs (MAIDs), connected TV (CTV) IDs, and more so you can define your audience once and reach them consistently across every major channel.
With unified data, identity, and activation, we help you cut through platform silos and deliver coordinated, cross-device campaigns that actually feel connected.
Mobile first
In 2024, over 70% of orders and $195 billion in sales happened on mobile devices, according to Salesforce. As more consumers browse holiday deals from the couch, car, or checkout line, mobile-first shopping is among the top Cyber Monday retail trends and the main channel for on-the-go purchases.
For marketers, this means your mobile experience can make or break your Black Friday results. Responsive design, fast load times, and smooth checkout flows are the new expectations. Brands that invest in sleek mobile sites, intuitive apps, and frictionless buy online, pick up in-store (BOPIS) options will better meet and convert customers where they are at key moments.
How Experian helps
With Experian, you can reach mobile-first shoppers precisely at scale. Our identity graph connects MAIDs to individuals, so you can activate campaigns across mobile apps, SMS, and social with confidence. Define your audience once and deliver consistently personalized offers wherever they scroll, search, or shop.
CTV
On Black Friday 2025, shoppers won’t just be scrolling — they’ll be streaming, too. CTV continues to surge as a key channel for holiday shoppers, with viewership far outpacing ad spend. In 2024, CTV drove 31% of digital audience activation revenue. With nearly half of U.S. viewers expected to tune into free ad-supported TV (FAST) in 2025, CTV is becoming a core part of the Black Friday media mix.
Still, many marketers underestimate the channel, assuming it’s strictly an upper-funnel awareness channel rather than a direct driver of conversions. In reality, CTV can influence high-intent holiday shoppers closer to purchase than many assume.
With more consumers engaging with FAST during the holidays, CTV offers scalable, measurable reach and can fuel conversions across the entire funnel. And when paired with identity resolution and cross-device targeting, it becomes a powerful full-funnel tool.
How Experian helps
Experian gives marketers the household-level insights and activation capabilities to reach the right shoppers at the right frequency across platforms — a must for a high-volume weekend like Black Friday. Our identity graph connects devices within a household to manage frequency, unify messaging, and eliminate waste.
Plus, with support for Universal IDs like Unified I.D. 2.0 (UID2), you can activate audiences across CTV environments — including FAST — using login-based, privacy-compliant signals for a campaign that connects, converts, and performs on the biggest shopping weekend of the year.
Signal loss
Although Google has reversed its plan to phase out third-party cookies, 40% of browser traffic no longer supports them. You now need various identifiers across devices and platforms to get a complete customer view, especially during Black Friday when reach and precision are key.
That’s why marketers are shifting to alternative IDs like UID2, ID5, and Hadron ID to maintain reach. In 2024, we saw a 50% increase in Experian clients using alternative IDs and a 30% jump in the number resolved to individuals in our Digital Graph. These IDs are unlocking up to 60% incremental reach in campaigns compared to cookies.
Preparing a multi-ID approach and incorporating privacy-first strategies, such as contextual targeting, can give you a competitive edge this holiday season.
How Experian helps
Experian’s identity solutions connect all your digital and offline identifiers into a single, privacy-forward customer profile. This lets you recognize and reach your audiences no matter what device or platform they’re using.
Plus, with Contextually-Indexed Audiences, you can activate high-performing segments instantly in major demand-side platforms (DSPs) without cookies to maintain and improve addressability during the holidays.
RMNs
Retail media networks (RMNs) are set to capture 20% of digital ad spend in 2025. In particular, off-site retail media is expected to surge 42.1% this year, driving more Black Friday campaigns into channels like CTV, programmatic, and social.
This shift reflects a growing demand for full-funnel strategies, broader reach, and cross-channel measurement. RMNs that extend their first-party data beyond owned platforms will be best positioned to deliver results during peak shopping periods like Cyber Week.
However, off-site success hinges on clean, connected data. Many RMNs still face fragmented views of their customers, making it harder to scale audiences and measure performance.
How Experian helps
Experian helps RMNs scale off-site by resolving fragmented identities, enriching first-party data, and enabling seamless activation across channels. Our identity graph connects key digital identifiers to unify customer profiles, while our audience insights add depth with demographic, behavioral, and purchase data.
Curation
Curation is quickly becoming a go-to Black Friday marketing strategy, helping advertisers connect with high-value audiences by blending inventory with audience and contextual data. In fact, by 2026, private marketplace ad spending is projected to grow by $31 billion.
Instead of choosing between wide-open auctions or direct publisher deals, curation offers a powerful middle ground through curated private marketplaces (PMPs) built on first-party publisher data, contextual signals, and alternative IDs.
How Experian helps
Now unified with Audigent, Experian is setting a new standard for curated media buying. Our Curated Deals combine Experian’s powerful identity and data capabilities with Audigent’s flexible activation and audience customization.
You can activate high-performing audiences across DSPs or directly through Audigent’s PMPs to maximize precision, privacy, and scale ahead of the biggest shopping week of the year.
AI-powered shopping experiences
AI is becoming a co-pilot for holiday shoppers and reshaping the customer journey. From researching gift ideas and comparing prices to relying on personalized product recommendations and AI chatbots for faster service, consumers are using AI to shop smarter.
Salesforce reports that AI influenced 19% of holiday purchases in 2024 — a 6% increase from the previous year. In an Experian survey, shoppers shared they’re also using AI to help with BOPIS logistics and even choosing which BNPL option to use at checkout. Influencer content powered by AI and social algorithms is also guiding purchases in real time.
This holiday season, brands that weave AI into their digital storefronts, payment options, and social strategies will drive conversion.
How Experian helps
Experian uses AI and machine learning to help marketers deliver faster, smarter Black Friday campaigns. Our Digital Graph improves targeting with advanced household connections, while machine learning models fill in data gaps and identify high-intent shoppers. We also offer AI-powered audience recommendations and real-time contextual signals, enabling you to quickly build and activate the right segments at scale.
How to prepare for Black Friday 2025
Now that we’ve covered Black Friday trends for this year, it’s time to talk about how you can build them into a data-powered marketing strategy. Here’s where we suggest you focus your Black Friday planning for Cyber Week 2025.
Understand and segment your audience
Winning Black Friday 2025 starts with knowing your audience and how they shop so you can reach them at optimal times with messaging that resonates. Whether you’re targeting early-bird deal hunters or last-minute gifters, audience precision is the foundation for success this holiday season — and Experian can help.
Purchase intent
Drive performance by identifying consumers actively in the market for holiday purchases. With Experian’s holiday shopping audiences (available across major DSPs and platforms like Audigent, The Trade Desk, and DirectTV), you can reach:
- Last-Minute Shoppers
- One-Stop Holiday Shoppers
- Post-Holiday Shoppers
- Heavy Gift Givers
These intent-rich segments can help you capture demand at every phase of the season.
Spending behavior
While some consumers may splurge this year, others are tightening their belts due to economic turbulence. Experian’s pre-built holiday audiences help you target accordingly, with segments like:
- Holiday High Spenders and Moderate Spenders
- Big Box/Club Stores
- Discount Holiday Shoppers, Black Friday, and Cyber Monday Shoppers
These segments can help you optimize campaign spend based on wallet size.
Channel preferences
Knowing where your audience shops is just as important as how much they spend or what they buy. Experian offers audiences like:
- eCommerce Diehards
- Brick-and-Mortar Diehards
- Impulse Buyers
- BOPIS Shoppers
Tailor your media mix and creative strategy to align with their channel behavior, whether they’re browsing in-store, online, or on social.
Demographic, lifestyle, and behavioral data
Experian helps you tap into rich demographic and lifestyle data to better understand and engage high-value segments, whether that’s suburban deal hunters, Gen Z beauty buyers, or luxury holiday splurgers.
And by layering in Experian Marketing Attributes — 5,000+ attributes that include financial behaviors, interests, shopping patterns, car ownership, media consumption, and more — you can gain a clearer picture of age, gender, purchase behaviors, and content habits for refined holiday targeting.
With our data marketplace, audiences are more accessible and actionable than ever. We offer:
- Diverse, high-fidelity partner audiences
- Easily activate audiences from 31+ premium data providers, including:
- Attain: Real-time, permissioned transaction data from 8 million U.S. consumers
- Alliant: Predictive audiences built from billions of consumer transactions across key verticals
- Circana: Loyalty-based CPG and general merchandise audiences
- Dun & Bradstreet: Privacy-compliant B2B audiences based on firmographic and professional attributes
- Easily activate audiences from 31+ premium data providers, including:
- Flexible activation across top platforms
- Our identity graph powers our data marketplace, enabling audiences to be easily activated and highly addressable across display, mobile, and CTV with 10+ activation platforms, including Madhive, Open AP, Optimum, and Yieldmo.
- Privacy-first audience planning
- All data in our marketplace meets strict privacy and compliance standards, helping brands scale campaigns confidently.
- Custom and pre-built audience options
- Mix and match from 2,400+ Experian Audiences and Partner Audiences to find the right shoppers and meet your campaign goals.
Our data marketplace delivers the people you want to reach, where you need to reach them, with the insights to optimize in real time.
Personalize promotions
One-size-fits-all promotions won’t cut it in 2025. Consumers expect relevance at every touchpoint and ignore what feels generic or off-base. With the abundance of Black Friday offers, shoppers are filtering fast and prioritizing brands that understand their needs, preferences, and timing.
Here’s how you can deliver on these demands:
- Deliver targeted product recommendations: Whether through chatbots or personalized emails, consumers want help quickly finding what they need. Brands that invest in smart recommendation engines position themselves to drive cart additions and increase average order value (AOV).
- Customize promo codes by segment: Everyone loves discounts, but not all shoppers should get the same one. Use customer segments like high-spenders, last-minute shoppers, or deal-hunters from Experian’s syndicated holiday audiences to offer custom promo codes, boost conversions, and avoid over-discounting with those who would buy regardless.
- Optimize the timing of offers: Timing is everything during Cyber Week when inboxes and feeds are flooded. Use our behavioral and lifestyle data to determine when your segments are most active and likely to buy, and schedule your best offers for maximum impact.
- Use Experian Activity Feed: Black Friday 2025 will span devices, stores, and channels. Activity Feed connects the dots between online ad exposures and offline sales, helping you measure the impact of your campaigns and identify what drives conversions.
Case study: How Cuebiq increased match rates with Activity Feed
Using Activity Feed, Cuebiq, resolved digital ad exposures to MAIDs so they could know the impact of their campaigns on in-store visits and purchases.
Within three weeks, they resolved 85% of ad events to households across web, mobile, and CTV, giving their clients a clearer view of what drove store traffic and sales.
“In just a few weeks, they were able to maximize the match rate across the fragmented digital inventory, solving a huge problem when it comes to cross-channel attribution.”
Luca Bocchiardi,Director of Product, Cuebiq
Experian can help you win big this holiday season
Marketers are entering this season with more pressure, more complexity, and more opportunity than ever before. Whether you’re grappling with signal loss, evolving your omnichannel mix, or launching your first curated PMP, Experian has the data, identity infrastructure, and activation tools to help you win. Download our 2025 Holiday spending trends and insights report, in collaboration with GroundTruth, to access our predictions for this year’s holiday season.
Want help building your Black Friday marketing strategy? Let’s talk.
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Every marketer has seen it: a customer browses reviews on a laptop, adds items to a cart on mobile, then “disappears.” In reality, they just likely switched devices or logged in with a different email. Identity resolution connects these scattered signals into a single profile so you never lose sight of the customer journey. Identity resolution is what helps you keep track of customers who bounce around. Connecting scattered signals into a single customer profile can help you deliver seamless experiences, meet strengthening privacy standards, turn first-party data into measurable results, and fuel better customer analytics. See our identity resolution solution in action Learn about it here What is identity resolution? Identity resolution is the process of pulling together the different identifiers a customer uses and connecting them to a single profile. Without it, you’re left with an incomplete picture of the customer — like a cart tied to one email, an app login tied to another device, or a loyalty swipe that never links back to the same person. Common identifiers include: Cookies: Short-lived browser data Emails: Plain-text and hashed Device IDs: Mobile advertising IDs (MAIDs) or app-based identifiers Loyalty IDs: Program numbers that tie online and offline activity Hashed PII: Personally identifiable information (PII) encrypted for privacy Ultimately, identity resolution can help you recognize the same customer wherever they engage. Why does identity resolution matter now? Marketers face incomplete views, data silos, privacy regulations, and shrinking visibility: Rising consumer expectations: People want seamless, personalized journeys across touchpoints. Privacy-first environment: Consumer privacy legislation (like the GDPR, CCPA, GLBA, FCRA, and new state laws) makes compliance non-negotiable. Signal loss: The decline of cookies, MAIDs, and walled gardens are pushing brands toward first-party data. Experian utilizes AI and machine learning to fill these gaps, predict behaviors, and connect signals across devices — providing marketers with a clear, privacy-safe view of their customers, even when traditional identifiers are missing. In this environment, identity resolution matters because it gives marketers a way to deliver seamless, personalized customer experiences and engage audiences effectively while respecting their privacy. It’s the basis for turning consented first-party data into measurable marketing outcomes without sacrificing trust. Talk to an expert Why is identity resolution critical in a privacy-first world? Even as cookies linger, marketers have already shifted their strategies to rely on first-party data, where choice and transparency are the baseline expectation. At Experian, our long history as a regulated data steward makes us a uniquely capable and trusted partner for managing modern compliance expectations. Our identity resolution solutions maximize the value of permission-based data while meeting consumer demand for privacy, personalization, and control. Struggling with scattered customer data? Experian makes identity resolution seamless Learn more How does identity resolution help brands? Identity resolution turns fragmented signals into unified profiles that drive personalization, efficiency, and compliance. Here’s how it creates measurable business impact. Creates a unified customer view One of the biggest advantages of identity resolution is the ability to integrate data from loyalty programs, point-of-sale (POS) systems, customer relationship management (CRM) platforms, web analytics, and offline sources into a single, comprehensive profile. Experian strengthens identity resolution with AI-driven clustering models that resolve household and individual identities across billions of signals with greater accuracy. With a clearer picture of each customer, brands see higher match rates and larger addressable audiences, which translates to more substantial reach and better return on ad spend (ROAS). Enables better personalization Customers constantly switch devices, update their information, and change preferences. Experian makes it easier to keep pace with these changes through frequent data enrichment and near-real-time identity resolution via Activity Feed. Combined with our long-standing use of AI and machine learning, this approach ensures shifting behaviors are captured quickly, enabling timely personalization, and more responsive engagement. With less delay from data to action, the result is faster response times and higher conversion rates. Improves the customer experience Customers notice when brands deliver relevant ads and contextual content across every channel. Consistency matters! But consistency doesn’t just happen on its own; it comes from identity resolution, which keeps the customer journey connected. As brands maintain continuity, they build trust, strengthen engagement, and increase customer lifetime value. Drives better marketing ROI Not every profile is valuable. Identity resolution helps marketers identify the highest-value audiences and reduce wasted spend. That efficiency leads to lower CPA and a higher overall ROI across campaigns. The power of modeling from a stronger foundation When you have a unified customer view, your models are built on better data. That means you can find more people who look like your best customers, build more responsive audience segments, and target with greater accuracy. This foundation can lead to better spending, more relevant campaigns, and a higher ROI. Maintains privacy compliance With GLBA/FCRA-grade standards and consumer choice mechanisms like opt-outs and data correction, you can protect your brand while maintaining personalization — without compromising legal or ethical safeguards. What are some identity resolution use cases and examples? Every industry faces its own unique identity challenges, but identity resolution is the common thread that turns scattered data into connected experiences. Let’s break down how companies in different verticals are putting it to work (and the kinds of results they’re seeing). Retail and e-commerce Shoppers bounce between websites, carts, and checkout lines, leaving behind scattered signals in the process. In retail, identity resolution bridges the gap between online and in-store experiences by matching online carts with loyalty swipes or connecting connected TV (CTV) exposure to in-store sales. This means fewer silos, better targeting, and more personalized offers wherever people shop. Our 2025 Digital trends and predictions report calls out that omnichannel experiences aren’t optional anymore. With CTV and social dominating spend, brands need identity resolution to cut through silos and build a complete view of customer behavior. Read the full report Financial services In financial services, identity resolution makes it possible to deliver personalized, compliant offers like refinancing options for likely mortgage switchers or the right rewards card for frequent spenders. Our partnership with FMCG Direct to create Consumer Financial Insights® and Financial Personalities® segments helps banks, insurers, and lenders understand behaviors — such as credit card use, deposit balances, and investment habits — without exposing sensitive details. Read more below about how our financial audiences enable privacy-safe personalization. Explore privacy-safe financial audiences Travel and hospitality Travel decisions aren’t always planned out in advance. Many bookings happen spur-of-the-moment, which is why real-time identity resolution is so powerful; it keeps the journey seamless when travelers jump from phone to laptop to tablet and presents relevant offers right as decisions are being made. Windstar Cruises put this information into action with Experian’s identity graph to connect digital interactions with actual bookings, which drove 6,500+ reservations and $20 million in revenue. Get the $20 million Windstar Cruises playbook here Media and TV Viewers tend to hop around between linear TV, streaming apps, and social feeds. And without identity resolution, every screen looks like a different person. Marketers can accurately plan, activate, and measure campaigns by unifying viewing behaviors into one ID with Experian’s AI-powered identity graph. Optimum Media tackled its multiscreen challenge by partnering with Experian for identity solutions. Layering our audience insights and our AI-driven Digital Graph onto their subscriber data, they were able to connect the dots across channels, reach the right households, and measure results instead of just impressions. In the end, they finally got a clear view of what works across every screen. Learn how Optimum Media mastered multiscreen measurement Curious how identity resolution can power your customer analytics? We can walk you through it. Chat with an expert Healthcare and pharma Healthcare marketers can’t afford slip-ups with HIPAA regulations. Identity resolution makes it possible to engage the right patients and providers with de-identified audiences rather than third-party cookies. At Experian, AI and machine learning have always been part of how we power identity resolution. In healthcare, that means using AI-enhanced modeling to connect de-identified clinical and claims data with lifestyle insights. The result is a more comprehensive picture of the patient journey that helps close care gaps, reduce wasted spending, and improve outcomes. By working with partners like Komodo, PurpleLab, and Health Union, we make it possible to activate campaigns at scale that boost engagement and adherence while keeping patient privacy front and center: Komodo Health enriches our identity graph with insights from millions of de-identified patient journeys plus lifestyle data, giving brands a fuller view of where care gaps exist and how to close them. PurpleLab connects real-world clinical and claims data to Experian’s platform, letting advertisers activate HIPAA-compliant audiences across CTV, mobile, and social with the ability to measure real outcomes like prescription lift and provider engagement. Health Union contributes a data set built from 50 million+ patient IDs and 44 billion+ patient-reported data points. Combined with our identity and modeling capabilities, this expands match rates and unlocks up to 76% net-new reach, so campaigns reach patients and caregivers in critical health moments. As a result, healthcare brands can launch campaigns that are privacy-first, highly targeted, and proven to drive meaningful impact. Audio People use audio while commuting, working out, and even folding laundry. It can be one of the hardest channels to track because of how frequently listeners switch between apps, stations, and devices. Experian’s identity resolution partnerships with Audacy and DAX change the game: Audacy helps tie scattered listening into a single view, so advertisers can follow audiences across devices and keep ads relevant in the moment. DAX pairs Experian’s 2,400+ syndicated audiences with its audio network, enabling brands to target precisely and launch impactful campaigns at scale. These partnerships turn audio into an accurate channel where ads feel personal, privacy-safe, and measurable. Gaming Gamers don’t stick to one platform. Player data gets scattered across mobile, console, and PC, so it’s tough to keep track of individuals. Experian helps stitch those signals together so publishers can finally see the whole picture, personalize gameplay, and keep players coming back. With enriched profiles, publishers can deliver offers that resonate and unlock fresh revenue by packaging high-value gaming audiences for advertisers outside the industry. Unity, a leading gaming platform, is tapping into Experian’s syndicated audiences to gain player insights and help advertisers reach gamers across mobile, web, and CTV. For global publishers, unifying player data with Experian has driven higher engagement and stronger ad ROI. Discover how to unlock revenue with unified player data How should I evaluate identity resolution providers? When choosing an identity resolution partner, look for: Data scale and quality: The value of identity resolution depends on how complete and accurate the underlying data is. The right provider should bring together a wide range of identifiers from online and offline sources, maintaining high accuracy so your customer profiles are broad and reliable. Match accuracy and recency: The best partners also refresh their data regularly and can blend deterministic (exact, one-to-one matches) with probabilistic (pattern-based matches) methods. That way, you get the accuracy of “this email is definitely that customer” with the reach of “this device likely belongs to the same person.” Privacy and compliance readiness: Compliance can’t be an afterthought. Your identity partner should be ready for GLBA, FCRA, GDPR, CCPA, and the latest state-level rules with built-in tools for opt-outs, corrections, and deletions. Integration flexibility: A good provider fits into your world, not the other way around. Look for pre-built integrations with your customer data platform (CDP), demand-side platform (DSP), or marketing tech (MarTech) stack so you can get up and running without the heavy IT lift. Data analytics capabilities: You need proof that identity resolution drives ROI. Look for closed-loop measurement that ties unified IDs directly to campaign performance, so you can see what’s working and optimize with confidence. How Experian enables enterprise-grade identity resolution Experian delivers identity resolution at the scale, accuracy, and compliance required by the world’s largest enterprises. Our solutions are: Built on trust: Backed by 40+ years as a regulated data steward and rated #1 in data accuracy by Truthset, so you can act with confidence. Powered by our proprietary AI-enhanced identity graph: Combining breadth, accuracy, and recency across four billion identifiers, continuously refined by machine learning for maximum accuracy. Seamlessly connected: Pre-built data integration with leading CDPs, DSPs, and MarTech platforms for faster time to value. Always up to date: Frequent enrichment and near-real-time identity resolution through Activity Feed for timely personalization and more responsive customer engagement. Privacy-first by design: Compliance with GLBA, FCRA, and emerging state regulations baked in at every step, supported by rigorous partner vetting. The bottom line Identity resolution turns fragmented signals into connected, measurable, and compliant experiences. From retail to gaming, brands using it see stronger personalization, engagement, and ROI. With Experian, you get the data, trust, and responsible AI innovation to make identity resolution work across every channel. Our approach uses AI to connect identities, predict behaviors, and deliver personalization that balances privacy with performance. If you’re ready to turn fragmented data into growth, now’s the time to start. The world’s leading brands trust us to power identity resolution at scale. See how we can do the same for you. Identity resolution FAQs What’s the difference between deterministic and probabilistic matching? Deterministic uses exact identifiers (like an email) for accuracy, while probabilistic uses signals and algorithms to expand reach. Best-in-class providers usually combine both. How does identity resolution improve ROI? Identity resolution helps with personalization by unifying scattered signals into one profile. It reduces wasted spend and increases match rates, which means bigger addressable audiences and higher ROAS. Can identity resolution work without third-party cookies? Yes. With first-party data and hashed PII, brands can still maintain addressability and personalization. What industries benefit most from identity resolution? Retail, finance, travel, media, gaming, and audio all use identity resolution to personalize, attribute sales, and improve efficiency. How is Experian different from a CDP? A customer data platform unifies the data you already own. Meanwhile, we add depth, scale, and higher match rates by layering in our identity graph and data enrichment. Is Experian identity resolution privacy-compliant? Yes. Experian is GLBA/FCRA compliant, GDPR/CCPA ready, and supports consumer opt-outs and corrections to ensure responsible personalization. Latest posts

In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Allison Dewey (Director, Data & Curation) at 33Across. Navigating complexity in digital advertising Digital advertising is more fragmented and privacy-constrained than ever. How is 33Across helping marketers cut through that complexity to drive real outcomes, and what makes your approach distinct? Reaching audiences without compromising scale or performance is one of the toughest challenges for marketers. Users consume content across multiple devices and channels, making it difficult for marketers to identify and accurately target them with the right message. 33Across segments leverage AI-powered contextual and behavioral signals across privacy-safe environments to help marketers accurately identify audiences, whether they’re streaming content on their connected TV or researching products on their mobile device. What sets us apart is that we don’t just identify valuable audiences; we help marketers also target cookieless inventory and power it with real-time signals. Marketplace integration milestones What excites you most about bringing 33Across audiences into Experian’s data marketplace? We’re excited to bring 33Across audiences into Experian’s data marketplace because it connects our unique segments with a powerful data ecosystem that marketers already trust. Buyers looking to activate audiences that are both privacy-safe and performant continue to tap into the Experian data marketplace for high-quality, high-performing data. We offer a wide range of audience verticals, including B2B, demographic, retail purchase data, interest and intent, and political data. In addition, we offer the ability to create custom segments across verticals. Our intent-based audiences, built from contextual and engagement signals, help buyers reach consumers on CTV, desktop, or mobile devices with scale. Being part of Experian’s data marketplace accelerates access to these audiences, drives better ROI, and helps brands future-proof their strategies today. Retail demand signals Retail brands are racing toward privacy-safe, first-party data. Which 33Across retail datasets or segments are experiencing the highest demand, and what makes them a must-have? Retail marketers are leaning into contextual and behavioral intent signals to complement their first-party data strategies. At 33Across, we’re seeing high demand for segments tied to shopping intent, including in-market consumers browsing for categories like fashion, home goods, electronics, and health & wellness. What makes these segments essential is their real-time nature – they can capture consumer interest as it happens. For retail brands looking to expand their reach while respecting privacy, our segments offer scalable, actionable intent that drives results. B2B without cookies Reaching real B2B decision-makers at scale is tough with or without signals. How does 33Across deliver both precision and reach in this environment? B2B marketing often struggles with balancing scale and specificity. 33Across addresses this by combining contextual precision with AI-modeled behavioral signals; this segment approach reaches professionals actively engaging with relevant content and topics, even in environments where IDs are unavailable. Marketers gain access to more signals and, in turn, better reach from 33Across’ unique publisher integrations and audience curation built from machine learning and AI. We surface intent through content consumption patterns and contextual engagement, unlocking valuable, privacy-safe signals at scale. Allowing B2B marketers to reach real decision-makers in a signal-sparse world. Use cases With retail, B2B, and beyond, can you share an example of how brands in these verticals are utilizing your audiences? Top brands that have a user-focused approach use 33Across audiences to drive scale; performance. These brands enable our segments to precisely reach the right users across devices and increase conversion rates; brand awareness. By reaching the right users, brands have higher conversion rates and increase campaign efficiency. Supply path innovation As identifiers disappear, advertisers are looking for scalable, privacy-safe ways to reach real people. How is 33Across helping unlock more addressable inventory and drive performance? By combining contextual, semantic, and engagement-based signals, we deliver intent-based targeting that performs across CTV, display and video. Higher addressability helps marketers not only extend their reach but also deliver personalized messaging across digital channels in a privacy-compliant way. Contact us FAQs How can advertisers reach audiences without traditional identifiers? By using contextual and engagement-based signals, advertisers can target consumers across CTV, mobile, and desktop in a privacy compliant way, even as identifiers become less available. What audience segments are most in demand for retail marketers? Segments tied to shopping intent, such as consumers browsing fashion, electronics, or health products, are highly sought after because they capture real time interest and drive results. How can B2B marketers find decision-makers without cookies? Combining content engagement patterns with machine learning allows marketers to reach professionals actively engaging with relevant topics, even in environments where IDs are unavailable. What makes privacy safe audience targeting effective? Privacy safe targeting uses real time contextual and behavioral signals to deliver relevant messaging across devices and channels without compromising consumer trust. How can real-time intent signals drive demand? Real time intent signals allow advertisers to capture consumer interest as it happens, helping demand side platforms and brands deliver timely, relevant ads that increase engagement and drive conversions across devices like CTV, mobile, and desktop. About our expert Allison Dewey, Director of Data and Curation, 33Across Allison Dewey is the Director of Data & Curation at 33Across, where she oversees data partnerships, integrations, and supply-side curation. With a deep expertise in audience targeting and signal optimization, Allison plays a key role in connecting data into the programmatic world. Allison holds a Bachelor\’s degree in Psychology from Bates College. About 33Across Rooted in over 15 years of data expertise, 33Across harnesses signals to enrich and expand marketers’ audiences and reach them wherever they consume content. Built from over 300 billion proprietary data signals, we apply machine learning and AI to create over 1,500 B2C and B2B segments using privacy-first principles to reach audiences. Latest posts

Originally appeared in Adweek This holiday advertising season, identity is the real differentiator Marketers are betting big on AI to run their holiday advertising, using it to build predictive audiences, generate creative at scale, and optimize media buys in real time. The draw is clear: greater efficiency, delivered at scale. But here’s the problem: without a solid identity foundation, AI is just guessing. And in a year when consumers are cautious and competition is fierce, guesses won’t deliver the outcomes you need. Experian’s 2025 Holiday spending trends and insights report shows that success this season will depend on connecting the right data to the right audiences in real time. Download the report now Are shoppers really using AI to make holiday purchases? Not yet. Only 12% of consumers plan to use AI tools to shop this season, mostly for finding discounts. Instead, trusted influences (like retailer websites, product reviews, and recommendations) still guide buying decisions. For marketers, that’s a signal to focus on credibility and connection. AI can support your holiday advertising strategy, but trust still wins the sale. Consumer sentiment heading into the holidays is low, but that could mislead marketers Here\’s why How marketers are really using AI in holiday advertising Behind the scenes, AI is working overtime. Teams use it to segment audiences, test creative, and optimize media in real time. These capabilities are powerful, but only if they’re grounded in accurate, persistent data. Think about the typical holiday shopper. They may browse a product online, validate it in store, and finally purchase days later from a different device than they used while browsing. If AI isn’t anchored in identity, it struggles to connect those touchpoints. Instead of amplifying relevance, it amplifies noise. See our predictions for Black Friday 2025 Why identity is the GPS for AI-driven holiday advertising Identity is what turns AI from a blunt instrument into an accurate tool. By unifying fragmented signals across channels and devices, identity provides the consistent consumer view that AI needs to be effective. With that foundation, AI can do more than churn out models. Instead, it can: Identify the right audiences and filter out waste Personalize with context, not just scale Measure real outcomes, linking exposures to visits and purchases Identity doesn’t just improve efficiency; it creates accountability. And in a season where every holiday advertising campaign dollar is scrutinized, accountability is the difference between investment and waste. Why connected data will make or break Cyber Week How to turn complexity into clarity this holiday season This year\’s holiday advertising season is complicated. Marketers are confident, consumers are cautious, and AI is somewhere in the middle. The challenge isn’t just speed or volume, it’s accuracy. By pairing AI with identity, you can adapt to real behavior instead of assumptions. You can build campaigns that are consistent across connected TV, retail media, and social platforms. And you can prove results when it matters most. AI isn’t a holiday miracle. But when it’s powered by identity, it can give you clarity in a noisy season and proof of performance when budgets are under scrutiny. Explore Experian\’s holiday audiences to activate this season What’s the real takeaway for marketers this season? Don’t assume AI alone will save your holiday advertising strategy. It won’t. Consumers still trust human voices more than machines, and your AI models are only as strong as the data beneath them. Identity is the difference between guesswork and accuracy, between activity and impact. This holiday season, the winners won’t be the brands that simply spend more or automate faster. They’ll be the ones that put identity at the core of their AI strategy and meet consumers where they really are. Download Experian’s 2025 Holiday spending trends and insights report to see where consumers are spending and how identity can help your holiday advertising campaigns more effective. Download now FAQs Why isn’t AI enough on its own for holiday advertising? AI works best when it’s grounded in accurate data. Without identity, it can’t connect actions across devices or channels, which limits its effectiveness. How does identity improve AI-driven campaigns? Identity creates a single, persistent view of your audience. That means AI can personalize content, measure conversions, and cut waste with far greater accuracy. What does “identity” mean in marketing terms? It’s the data layer that connects people across their devices, browsers, and behaviors—so your campaigns reach real individuals. How can marketers prove ROI in holiday advertising? By tying exposure to verified outcomes—like store visits or purchases—using identity-linked data. That’s how Experian helps brands move from impressions to impact. Latest posts