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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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Conventional TV advertising campaigns have historically relied on general audience metrics like impressions and ratings to measure outcomes. These metrics can help marketers understand how many people have seen an ad, but they don’t reveal its real-world impact, which leaves a gap between ad exposure and results. Outcome-based TV measurement bridges this gap and helps marketers tie ad spending directly to their business goals. Instead of counting eyeballs alone, TV measurement zeroes in on what viewers do after seeing an ad — whether signing up for a service, visiting your website, or purchasing a product. TV ad measurement helps marketers adjust campaigns based on clear, trackable outcomes rather than guesswork. Let’s talk about how marketers can get started with outcome-based TV measurement and start experiencing tangible results. Why outcome-based TV measurement matters Outcome-based measurement indicates a massive shift in how marketers evaluate TV advertising success. As a principal analyst at Forrester explained, the industry is about to “move into a whole different world" where multiple metrics are tailored to advertisers’ unique goals, such as sales, store traffic, or web engagement. This shift is driven by improved tools for tracking TV outcomes, which help justify spending and clarify ROI. With TV measurement, you can see how your campaigns impact aspects of your marketing like sales and engagement. Aligning TV ad spend with business goals Every business has distinct objectives. Outcome-based measurement ties your marketing efforts to business goals and enables smarter decisions, campaign optimization, and ROI improvements. Whether you're a B2C brand wanting immediate sales or a B2B organization looking to drive website traffic, this method provides the insights needed for strategic decision-making. Marketers can deliver the most value by adjusting TV ad spending to maximize desired results: Sales goals: Identify which ads and platforms directly influence purchases to ensure TV ad spend contributes to revenue growth. Customer engagement: Link actions like website visits or app downloads to TV campaigns and refine messaging to deepen audience connections. Desired outcomes: Align ad spend with goals like consumer awareness or repeat purchases to allocate resources effectively for measurable success. Reducing wasted spend on ineffective channels Outcome-based TV measurement allows you to pinpoint which networks, times, or programs drive the most engagement and conversion. When you know your underperforming channels, you can reallocate budgets to those with a higher ROI and avoid waste. Core metrics in outcome-based TV measurement The effective implementation of outcome-based measurement requires advanced TV advertising analytics and tracking metrics that shed light on TV ad performance. Incremental lift This metric measures the increase in desired actions and business results — like purchases or site visits — that can be attributed directly to a TV campaign. Incremental lift quantifies your campaign’s impact and separates organic activity from the results your ads have driven. Let’s say a meal kit service experiences a 20% lift in subscriptions within a single week of running TV ads compared to a week without ads. They’d want to be able to isolate the impact of their ad from their organic growth so they can determine if the growth is actually a result of the TV ads or another effort. Attribution and conversions Attribution links TV ad exposure to specific customer actions, such as newsletter sign-ups and product purchases. Conversion data helps marketers understand the whole customer journey to optimize messaging, targeting, and channel mix to improve conversion rates. A retailer that knows 50% of TV ad viewers visit its e-commerce site within 36 hours of exposure could use that information to adjust the timing of its retargeting and align with site visit spikes. Audience segmentation for targeted measurement Outcome-based measurement breaks down performance across target demographics and allows for granular audience segmentation so TV ads resonate with the right audiences. For example, if a luxury brand saw better TV ad performance with high-earning Millennials, they’d want to refine their campaign messaging based on this group’s habits and preferences. Customer journey tracking Knowing how viewers move from awareness to conversion is critical. Outcome-based TV measurement helps you track the customer journey by pinpointing touchpoints where engagement happens and tying these to your TV campaigns. If a fitness brand found that TV campaigns drive app downloads, it could combine app analytics and TV exposure data to find out when most of their conversions happen after ad exposure and create follow-up messaging for that window of time. Integrating these insights with other marketing channels allows you to fine-tune your messaging, channel mix, and audience targeting to drive better outcomes and deliver more personalized customer experiences. Lifetime value (LTV) Beyond immediate conversions, outcome-based TV ad measurement helps brands identify which TV campaigns attract high-value customers with long-term revenue potential. If a financial institution ran a TV ad campaign centered on its new credit card, for instance, it could use LTV to track new cardholders and determine whether ads occurring during financial news airtime produced customers with higher average annual spend compared to other segments. How outcome-based TV measurement works Outcome-based measurement is a data-driven process that involves collecting, analyzing, and applying insights to improve TV ad performance. 1. Collect data When someone sees your TV ad, they might take action, like downloading your app or buying something. Outcome-based TV measurement begins by tracking these actions and gathering data from various sources, such as: TV viewership CRM Digital engagement Purchase behavior Cross-platform interactions And more Data integration with digital platforms Combining TV data with insights from platforms like social media or website analytics creates a more unified view of campaign performance. This integration powers easier retargeting and better alignment between digital and TV advertising strategies. Some marketers enhance this integration further using artificial intelligence (AI) to streamline data coordination and ensure campaigns are optimized for effectiveness and ROI. 2. Connect the dots Next, marketers need to find out which actions were influenced by TV ads. It’s important to ask questions like these as you work to connect the dots: Did website traffic spike right after the ad aired? Did the ad viewers match the people who signed up for the service or made a purchase? You can link TV exposure to real-world behaviors with tools and identifiers like hashed emails, device IDs, surveys, and privacy-safe data-matching techniques. 3. Analyze the data Then, the data needs to be analyzed for patterns like these: Which TV ads or time slots drove the most engagement? Did certain customer groups respond better than others? Was there a noticeable lift in sales or signups after the ad campaign? This step can help you uncover what’s working and what’s not. Role of advanced analytics and machine learning The data analysis required in this process can be overwhelming, time-consuming, and risky without the right tools. Fortunately, advanced analytics and fast, effective artificial intelligence tools can process large amounts of data from digital platforms, TV viewership, and customer interactions in less time to reveal accurate, actionable insights and patterns. They can also predict which audiences, messages, and channels will be most profitable so campaigns can adapt in real time, whether by reallocating spend to higher-performing channels or refining audience targeting. 4. Turn insights into action Once you have your data-derived insights, you can tweak your campaign in a number of ways, whether you decide to: Adjust your ads: If one message works better than another, lean into it. Refine your targeting: Focus on the audience segments most likely to act. Optimize your spend: Invest in channels or times that deliver the best return. For example, if you see that ads during prime time lead to more purchases than morning slots, you can shift your budget accordingly. This type of knowledge can be used to continuously improve your campaigns. Each time you run a new ad, you measure again, building on past insights to make your outcome-based TV advertising even smarter. Applications of outcome-based TV measurement Outcome-based TV measurement has wide-ranging applications across industries. Here’s how it’s helping businesses link TV ad exposure to real-world actions and optimize campaigns for better results. E-commerce and retail: Retailers can track how TV ads influence purchases and use those insights to refine their assets and target specific customer groups. A clothing retailer may track how well a TV ad boosts online traffic and in-store purchases. For instance, if a seasonal sale commercial correlates with a spike in website visits or mobile app downloads, the brand can refine its ad placement to focus on the most responsive demographics. Automotive: Automakers use outcome-based TV measurement insights to determine how ads drive dealership visits, test drives, or inquiries. A car manufacturer could analyze whether TV spots featuring a new vehicle increase traffic to its dealership locator or car configuration tool online. Healthcare: Pharmaceutical companies could assess whether TV spots lead to increased prescription fills, or a health provider could test how ads promoting flu shots result in appointment bookings through its website or app. If any messages resonate more with families, the provider can create similar campaigns for the future. How Experian enhances outcome-based TV measurement Experian has recently partnered with EDO, an outcomes-based measurement provider, to offer more granular TV measurement across platforms. Our identity resolution and matching capabilities enhance EDO’s IdentitySpine™ solution with rich consumer data, including age, gender, and household income, all in a privacy-centric way. Integrating these demographic attributes is helping advertisers achieve more precise audience insights and connect their first-party data to actionable outcomes. As a result of this collaboration, brands, agencies, and networks can optimize their TV campaigns by identifying which ads drive the most decisive engagement among specific audience segments. We’re improving accuracy, targeting, and more so advertisers can maximize the performance of their CTV strategies. Get in touch with Experian’s TV experts If you’re ready to take your data-driven TV advertising strategies to the next level, connect with our team. We combine advanced data and identity solutions as well as strong industry collaborations to help brands optimize their TV campaigns. Whether you're navigating traditional or advanced TV formats, our expertise ensures your efforts deliver maximum impact. Connect with us today to drive engagement, connect with audiences, and achieve better ROI. Let’s transform the way you measure success on TV. Reach out to our TV experts Contact us Latest posts
Advertising today is more complex than ever. Consumers demand personalized, relevant experiences from brands, making it increasingly challenging to meet expectations without external support. Businesses must work with publishers, retailers, and platforms to thrive, using these partnerships for data insights that refine their strategies and fuel growth. We spoke with industry leaders from Ampersand, AppsFlyer, Audigent, Comcast Advertising, Fox, ID5, and Snowflake to gather insights on how strategic collaboration can expand audience reach, improve targeting precision, and drive measurable advertising success. 1. Expand your reach with strategic collaborations Gone are the days when brands relied solely on third-party data. By linking their first-party insights with equally valuable data from partners, brands develop a far more comprehensive understanding of their audiences. This collaborative approach creates richer audience profiles, improves targeting, and enhances campaign performance. Partnerships also create opportunities for operational efficiencies. For instance, brands that share data and expertise with collaborators can expand their audience reach without overhauling existing systems. These collaborations allow marketers to work smarter, turning shared knowledge into strategic wins. "Partnerships are everything. We can't fulfill our goals on the sale side, marketers can't fulfill their goals of finding their audience where they need to reach them and with the right level of outcomes without partnering together. Why? Because each of them has their own line of sight to the data that they have access to and the data that they know best."Justin Rosen, Ampersand 2. Identify the right partnership model Choosing the right partnership model is key to achieving your business objectives. For some, pairing first-party data with publishers' insights creates better targeting. For others, aligning with complementary brands allows them to engage shared audiences. For large-scale efforts, agencies can unify collaboration frameworks, making onboarding and activation seamless. Meanwhile, emerging categories like FinTech, hospitality, and commerce media provide brands new avenues for impactful partnerships. Evaluating these options thoroughly will ensure your collaboration aligns with long-term marketing goals. "With first-party data being really the central point of signal today, we see more and more of our advertisers identifying partnerships with maybe potentially historical competitors or partners they would've never considered."Tami Harrigan, AppsFlyer 3. Utilize the power of pooled insights Combining various data sources, like CRM records, browsing behavior, and shopping receipts, creates an in-depth view of your customers. By understanding what motivates consumers at every stage of their journey, brands can better tailor messaging and funnel marketing spend to where it matters most. This approach also enables data-driven agility. Real-time insights help brands make informed adjustments, whether it’s shifting strategies mid-campaign or identifying new growth opportunities. When brands share data responsibly, the results are campaigns that resonate and deliver measurable improvements. "A lot of advertisers have gotten smarter about their data than they were just two, three years ago. They’re now doing that segmentation on their side with their data and bringing that to Fox and saying, ‘Look, match this segment against your entire user base.’ In order to do that, we can work with providers like Experian, or with data clean rooms to really bring that data and do a direct match without going through a third party."Darren Sherriff, Fox 4. Adopt the right tools and technology The right tools empower a collaborative data ecosystem. Solutions like data clean rooms ensure privacy-first data matching and measurement. Identity frameworks, such as Unified ID 2.0 (UID2) or ID5, enable secure data alignment across platforms, simplifying audience targeting while safeguarding sensitive information. Shared dashboards are another crucial tool, providing all collaborators with clear, co-owned performance metrics. Yet, while technology is an enabler, success ultimately depends on how well tools align with each partner’s goals and build trust within the collaboration. “You have to make it accessible to non-technical personas and you have to have the ability to have it stood up and pay dividends in a short amount of time. The other thing is interoperability. We very much think as an industry we need to have interoperability with clean rooms, ones that operate on different frameworks.” David Wells, Snowflake 5. Overcome barriers to collaboration Collaboration often faces obstacles, like differing goals, fragmented data, or resource gaps. Brands can tackle these issues by aligning stakeholders on clear KPIs, standardizing data-sharing practices, and selecting tools that integrate smoothly with existing systems. Breaking down barriers early fosters fluid cooperation and improves outcomes for everyone involved. When goals, tools, and resources are in sync, these partnerships deliver lasting value and stronger results. “The key is to bring together data assets and work collaboratively to address fragmentation. The way to solve that is with more interoperability and connect the data in very privacy-safe ways, offering more opportunity to reach high fidelity audiences and incorporate better measurement methodologies.”Carmela Fournier, Comcast Advertising The path to growth through partnership Those who prioritize collaboration will outrun the competition and drive sustainable growth through smarter, more connected advertising. By choosing the right models, using powerful technology, and addressing potential obstacles, brands can co-create campaigns that resonate deeply with their audiences. Connect with our experts Latest posts
RampUp 2025 brought together some of the smartest minds in AdTech to talk about the future of our industry. I had the opportunity to ask attendees key questions about AI, data collaboration, and the challenges they wish they could solve instantly. Here’s what they had to say. Watch my interviews here AI is everywhere in ads—How is it changing things? AI’s influence on advertising is undeniable, and industry leaders at RampUp 2025 emphasized how it is transforming the way data is used across marketing workflows. The increasing presence of Generative AI like ChatGPT is making it easier to stitch together data from various sources and act on insights, helping marketers execute campaigns with more efficiency. AI is no longer just about automation; it is now deeply embedded in audience building, personalization, and measurement, enabling marketers to optimize every step of the customer journey. What’s the one AdTech headache you’d fix forever? AdTech leaders agreed that some industry challenges have lingered for too long. Many expressed frustrations with the ongoing conversation about unifying cross-screen targeting and measurement. While the technology exists, aligning business priorities remains a roadblock. Others highlighted issues like the complexity of billing and reporting, which still needs to be faster and more reliable. There was also a strong push to educate brand marketers on the continued impact of offline media, such as billboards, and how data-driven strategies can enhance the effectiveness of out-of-home advertising. Beyond these operational challenges, another recurring theme was the increasing importance of identity as the backbone of effective advertising. While brands are focused on collecting first-party data, the true challenge lies in activating that data at scale. Without a strong identity resolution strategy, first-party data alone is not enough to create meaningful audience connections across multiple platforms and devices. What's one AdTech tool or strategy you can’t live without? When it comes to must-have tools and strategies, data collaboration and clean rooms emerged as essential. These solutions help companies, agencies, and publishers work together seamlessly while maintaining security and efficiency. Another key strategy discussed was traffic shaping, which allows advertisers to push activation closer to publishers, reducing data leakage and improving overall performance. Both of these approaches are critical for advertisers aiming to scale. However, as brands continue to seek more flexibility and efficiency, the conversation at RampUp expanded beyond individual tools toward a broader industry transformation. Interoperability has become a top priority, with brands, platforms, and data providers focused on ensuring seamless connectivity across clean rooms, customer data platforms (CDPs), and activation partners. The days of being locked into a single walled garden are over—the future is about data portability. "RampUp made it clear that the industry is shifting toward curated, interoperable, and always-on identity solutions—and Experian is perfectly positioned to lead this next phase of growth."Suzanna Stevens, Sr. Enterprise Partnerships Manager This shift is also driving changes in how brands manage identity. Rather than relying on one-off data onboarding, companies are increasingly adopting subscription-based identity solutions that provide an always-on, continuously refreshed identity graph. This model ensures that brands have up-to-date customer profiles while reducing inefficiencies associated with batch processing. What privacy regulations should marketers be watching? Privacy remains one of the most pressing concerns in AdTech, and industry experts highlighted the need for a better approach to regulation. Consent management was identified as a major priority since it is fluid and directly impacts how marketers engage with consumers. There was also a strong sentiment that the current state-by-state approach to privacy regulation in the U.S. is unsustainable. Instead, the industry would benefit from a national framework that simplifies compliance and ensures more consistent data governance across all states. Final thoughts from RampUp 2025 RampUp 2025 showcased the rapid shifts happening in AdTech, from AI-driven efficiencies to the growing importance of data collaboration and privacy-first strategies. As the industry works to solve long-standing challenges, such as unification and regulatory fragmentation, innovation continues to drive new opportunities. Experian remains committed to helping advertisers and marketers navigate these changes by enabling smarter, more connected, and privacy-conscious advertising solutions. We’re excited to see how these themes evolve throughout the year and look forward to collaborating with our partners to shape the future of digital advertising. Follow us on LinkedIn or sign up for our email newsletter for more insights on the latest industry trends and data-driven marketing strategies. Contact us Latest posts