In this article…
Marketing without segmentation is a lot like shouting into a crowded room and hoping the right person hears you. Without a clear way to communicate in a noisy marketing environment, your message gets lost in the mix.
With segmentation, you can identify your target audience, speak to their needs, and deliver the right message at the right moment. Companies that use segmentation are 130% more likely to understand customer motivations, resulting in more effective campaigns and deeper audience relationships.
In this article, we’ll break down four of the most effective customer segmentation methods, when to use each, and how Experian’s audience solutions can help.
What is segmentation in marketing?
Segmentation is the process of splitting a large audience into smaller groups that share similar traits, like demographics, location, behavior, or firmographic characteristics. As a marketer, these segments enable you to choose channels, messaging, and offers that resonate with each group.
Whether you’re targeting new homeowners in Texas, loyalty shoppers in retail, or small business decision-makers in finance, segmentation helps you stand out to them and get results.
Why should marketers segment their audiences?
Effective audience segmentation fuels accuracy, performance, and personalization at scale. Here’s why you should invest your time and marketing budget in honing your audience segments.
Maximize your marketing ROI
Nobody wants to waste money talking to the wrong crowd. Using various methods of segmentation, you can focus on those who want to hear from you — and the payoff can be huge. For marketing channels like email, segmentation can drive up to 760% more revenue than non-segmented campaigns. The more targeted your message, the better the return.
Create a unified omnichannel strategy
Segmentation helps ensure that every channel, from email and social media to display, SMS, and direct mail, operates from the same playbook.
Once you define your target audience segments, you also need a trusted identity partner to sync them across platforms and environments. This ensures you can deliver consistent, personalized experiences at every touchpoint and your audience receives the same message in the proper context, regardless of where they engage.
Strengthen customer loyalty
Roughly 75% of consumers are loyal to brands that “get” them. When you strive to understand your customers, they’re more likely to stay. Segmentation enables you to personalize communications based on your target segment’s values, behaviors, or preferences, encouraging repeat business.
Expand into new markets
With segmentation, you can analyze existing customers to identify common traits and use that data to pinpoint similar groups in new regions or markets. For example, if your top customers are middle-class parents in suburban areas, you can target lookalike segments in other cities with tailored messaging.
This makes it easier to expand with confidence, knowing you’re reaching people who are more likely to convert.
Lower customer acquisition costs
Rather than forcing you to cast a wide net, segmentation enables you to focus your budget on high-potential audiences across channels, reduce acquisition costs, and minimize wasted spend on low-intent audiences.
Four segmentation methods and examples
Let’s look at four different methods of market segmentation. We’ll define each, share when to use them, and give real-world examples to help you apply them.
1. Demographic segmentation
Demographic segmentation breaks your audience into groups based on gender, income, age, education, marital status, occupation, and household size. It’s one of the most foundational segmentation methods because it’s easy to implement and often tied directly to buying behavior.
Demographic data makes it easier to get the tone, offer, and channel right from the start. And when you combine demographic segmentation with other segmentation methods, such as behavior or location, the impact multiplies.
When to use it
Use demographic segmentation when your product or service is clearly more relevant to people in a specific life stage, income bracket, or household type.
Among all methods of market segmentation, demographic data is often the easiest starting point. It’s especially effective for industries such as financial services, healthcare, education, retail, and others, where consumer needs change based on demographics.
Examples
As a real-world example, a health supplement company used Experian data to segment its ambassador program audience into four demographic groups based on lifestyle and household makeup. These included younger singles, value-seeking families, high-income spenders, and older empty nesters.
Applying these insights at registration allowed the brand to deliver personalized, channel-specific communications that boosted acquisition and retention. The approach led to stronger engagement and more meaningful customer connections.
2. Geographic segmentation
This method of market segmentation categorizes people by location, including country, region, state, city, zip code, or even climate. It’s a simple yet effective way to tailor your marketing, as location often influences everything from lifestyle and language to shopping habits and product needs. It’s most often used among brands with physical locations or region-specific campaigns.
Whether you’re promoting snow boots in Colorado or sunscreen in California, geographic segmentation helps you stay relevant to the local context.
When to use it
Geographic segmentation is ideal when your offer or message changes depending on climate, culture, availability, or local regulations. It’s also helpful for planning market expansion or testing the performance of different methods of market segmentation across regions.
Examples
One home furnishings retailer partnered with Experian to understand how customer needs varied across store locations. Using a mix of client data and Experian demographics, we segmented stores based on their surrounding customer base, like urban, white-collar shoppers in metro centers versus lower-income households in more remote cities.
These insights enabled the retailer to tailor inventory, marketing strategies, and ad copy for each store type, resulting in more relevant customer experiences.
3. Behavioral segmentation
Behavioral segmentation centers on how people live their lives — their interests, habits, and decision-making patterns. It includes factors like past purchases, engagement frequency, brand loyalty, product usage, browsing patterns, and responsiveness to offers or promotions.
Among all of the segmentation methods, this one provides insight into intent, helping you go beyond who your audience is to understand what they do. You can use behavioral insights to re-engage former customers with relevant offers, reward loyal buyers with personalized perks, or guide high-intent shoppers toward conversion with timely nudges.
When to use it
Behavioral segmentation is best when you want to personalize based on intent, habits, or engagement stage. It’s particularly useful for retention, reactivation, or cross-selling strategies.
Examples
In practice, a national big-box retailer partnered with Experian to better understand customer behavior during grocery store visits. The goal was to identify distinct “trip missions” that could drive category trial and increase basket size. We analyzed everything from basket contents to customer composition and segmented visits into 11 unique missions.
For example, the “All Aisles Online” segment represented large households (often homeowners with families) stocking up on household staples through online orders. In contrast, the “Marketable Mission” segment captured smaller, likely renter households making quick trips for non-essentials.
These behavioral insights empowered the retailer to adjust promotions based on the intent behind each visit, strengthen customer relationships, and drive growth.
4. Firmographic segmentation (B2B)
Firmographic segmentation is like demographic segmentation for businesses. It groups B2B audiences based on attributes such as annual revenue, location, company size, industry, and organizational structure. You can also segment by job title or decision-maker role to better target key stakeholders.
This method is great for aligning your messaging, sales strategy, or product offerings with the unique needs of various business types. A startup in the tech sector will likely respond to a very different pitch than an enterprise manufacturer, and firmographic data helps you speak to both with precision.
When to use it
Use firmographic segmentation when marketing to other businesses, especially when your product or service has different benefits depending on business size or sector.
Examples
Recently, a B2B client partnered with Experian to gain a deeper understanding of the revenue potential of their existing business customers. Using firmographic data, we segmented the client’s customers into distinct groups based on the characteristics most strongly tied to spending behavior.
For each segment, we calculated potential spend, defined as the 80th percentile of annual spend within that segment. This allowed the client to identify high-value accounts with untapped growth potential.
For example, one customer, ABC Construction, had spent $4,750. But based on their segment’s profile, their annual potential was $9,000. That insight revealed a $4,250 opportunity to deepen the relationship through more targeted marketing and sales efforts.
Best practices for market segmentation
Regardless of the segmentation method you use, the following best practices will help you maximize the benefits of your efforts.
Start with clean, reliable data
Segments are only as good as the data behind them. If your data is outdated, inaccurate, or incomplete, your segments will result in ineffective targeting and a wasted budget. Utilize accurate, compliant, up-to-date sources like Experian Marketing Data, ranked #1 in accuracy by Truthset, to ensure your targeting is on point.
Test and refine segments continuously
Business goals, market conditions, and behaviors are constantly changing. What worked last month or even last week might not work today. By adjusting your segments over time, you make sure your marketing stays relevant, focused, and effective. Use A/B testing, performance metrics, and audience analytics to iterate on your segments and improve results over time.
Align segments with personalized messaging and offers
Each segment has distinct needs, preferences, and motivations, which means generic messaging won’t resonate effectively. Once you’ve built your segments, personalize your creative, copy, and offers to appeal to each group and increase the likelihood of engagement and conversions.
Integrate segmentation across all platforms
If someone sees one message in an email and a completely different one in an ad or on your website, it creates confusion and weakens trust. From CRMs and email platforms to ad tech and analytics tools, make sure your segmentation method is applied consistently across every channel to improve performance and build a cohesive brand experience.
Segment your audiences with Experian
Effective audience segmentation is at the heart of every successful marketing strategy, but in this fragmented, privacy-conscious landscape, grouping your audience into meaningful, actionable subgroups is more challenging than ever. That’s where we come in.
With coverage of the entire U.S. population, Experian helps marketers define and categorize broad audiences into precise segments using rich data on demographics, behaviors, financial profiles, and lifestyle traits. These insights make it easier to personalize messaging, optimize media spend, and drive better outcomes.
From ready-to-use syndicated audiences to custom segments and even Contextually-Indexed Audiences that align targeting with content, Experian offers flexible segmentation solutions that perform across digital, TV, programmatic, and social channels.
In our most recent release, we introduced over 750 new and updated audience segments across key categories, including a brand-new category for Experian, giving marketers more accurate, behavior-based targeting options than ever before.
- 135+ new CPG audiences, a brand-new category for Experian, built from opt-in loyalty card and receipt scan data
- 240+ new automotive audiences covering ownership and in-market shoppers
- 100+ new high-spending behavior audiences focused on specific merchant categories
- 24 new wealth and income segments with refined household net worth tiers
- 13 new lifestyle-based housing audiences for family- and household-focused targeting
- 250+ refreshed financial segments with improved naming conventions for better discoverability and clarity
Together, these segments give marketers more accuracy to reach high-intent consumers based on real-world behaviors, spending patterns, and financial capacity.
Audience solutions powered by consumer insights
Experian Marketing Data, one of the most comprehensive and accurate consumer databases in the U.S., is the core of our segmentation capabilities. Backed by over 5,000 demographic and behavioral attributes, it helps you understand not just who your customers are but how they live, shop, spend, and engage, too.
Each audience segment is built with privacy and precision in mind, using a blend of demographic data, financial behaviors, lifestyle signals, and media habits. With these consumer insights, we’ll help you uncover meaningful patterns that lead to smarter strategy.
Experian’s pre-built audiences
Our syndicated audiences are pre-built, ready-to-activate segments based on shared characteristics from age and income to purchase behavior and lifestyle indicators. When speed and scale are a priority, these segments offer a fast, effective way to reach your target audience.
Experian’s 2,400+ syndicated audiences are available directly on over 30 leading television, social, and programmatic advertising platforms, as well as within Audigent for activation within private marketplaces (PMPs).
Here’s what’s new from our August 2025 release:
- CPG shoppers by category (e.g., Frozen Food Shoppers, Multi-Vitamin Shoppers)
- Luxury EV owners and auto brand shoppers (e.g., Rivian, Polestar, Cadillac)
- High spenders in specific categories (e.g., men’s grooming and women’s accessories)
- Ultra high-net-worth households (e.g., Net Worth $50M+) and likely home sellers
- Young Family Homeowners and Growing Family Apartment Renters
Custom audiences for specialized targeting
Need a custom audience? Reach out to our audience team, and we can help you build and activate an Experian audience on your preferred platform. Additionally, work with Experian’s network of data providers to build audiences and send to an Audigent PMP for activation.
Contextually-Indexed Audiences
Experian’s Contextually-Indexed Audiences offer a privacy-safe way to reach relevant consumers in the moments that matter without relying on identity signals or third-party cookies. These segments combine Experian’s consumer insights with page-level content signals, enabling you to align targeting with intent and mindset, even in cookieless or ID-constrained environments.
Want to take your segmentation strategy to the next level? Let’s talk. We’ll help you define your audience in ways that drive real results.
Talk to our team about your segmentation methods today
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Every year, the Experian team attends the Consumer Electronics Show (CES) in Las Vegas, to immerse ourselves in the world's most significant consumer tech showcase and stay at the forefront of the latest technological advancements and innovations that shape the AdTech industry. This year's event was a vibrant melting pot of innovation and vision, from streamers taking a bigger bite of the advertising pie to the emergence of AI-powered solutions and drone delivery services. Amidst these advancements, the dynamic interplay of technology, media, and advertising raised important questions, especially in the context of evolving regulations and cookie deprecation. During CES, we captured insights from various thought leaders, and in the coming months, we'll be sharing these valuable perspectives with you. Watch the video below for full insights coming from our content studio onsite during the event. Or, keep reading for a recap on four key trends from CES and what they mean for your business in 2024! “My first CES was a major success. You could feel the buzz in the air as new ideas and partnerships were being created within and across industries. The intersection of the different players within retail media, connected TV, retail technology, the demand and supply-side, and agencies all in an ever-changing world of regulation and privacy begs for a solution that can maximize a successful outcome for all.”anne passon, sr director, sales, retail & cpg 1. Audience targeting: How first- and third-party data work together A central theme at CES was the importance of audience targeting, highlighting the crucial role of first-party data. However, it’s clear that to maximize its potential, this data needs to be augmented with sophisticated identity solutions and enriched with third-party insights, all while navigating the complexities of privacy regulations. This integrated approach is vital to understanding audiences and for creating more effective marketing strategies that comply with privacy regulations. 2. Standardizing metrics in retail media networks The challenges around retail media networks, particularly in terms of standardizing metrics like incremental return on ad spend (iROAS), were a hot topic at CES. This complexity around this topic underscores the need for neutral, expert third parties to help bring clarity and consensus, aiding businesses in navigating this multifaceted domain. 3. The challenge of switching data solutions Discussions covered the broader challenges associated with transitioning to new data solutions. For businesses, this involves a critical assessment of the benefits versus the costs and complexities of adopting new platforms or systems. This decision-making process is increasingly significant as data strategies become integral to marketing success. 4. Identity solutions in a cookieless future With the industry moving toward a cookieless future, the spotlight at CES was on the importance of robust identity solutions. Understanding the functionality and necessity of various universal IDs is essential to minimize data loss and maintain effective targeting. Investing in flexible and adaptable identity solutions like the Experian Graph is essential to maintain effective targeting and audience engagement in this new landscape. Announcements and advertising innovations at CES 2024 CES was a stage for significant announcements and innovative marketing initiatives: Criteo and Albertsons announced their collaboration in retail media. Instacart's partnership with Google for enhanced shopping ads and AI shopping carts. NBCUniversal's advancements in streamlining programmatic advertising. Brands like Netflix, LG, Freewheel, and Amazon Ads also captured attention with their creative marketing strategies, ranging from unique collaborations to themed promotions and captivating events. These insights from CES provide a glimpse into the future of technology, media, and advertising. They highlight the need for adaptability, innovation, and informed decision-making in these dynamic industries, especially in the context of privacy regulations. Stay tuned for our series of posts where we'll dive deeper into these topics, sharing exclusive insights from industry thought leaders. Follow us on LinkedIn or sign up for our email newsletter for more informative content on the latest industry insights and data-driven marketing. Contact us Latest posts
In this article…A history of ad-supported TVThe resurgence of ad-supported TV models Free ad-supported streaming vs paid ad-supported TV What FAST popularity means for marketersThe future of ad-supported TV In the early days, streaming services were presented to viewers as convenient alternatives to cable that allowed you to get content whenever you wanted it — without ads. But as standalone streaming platforms have grown in number and prominence, often charging high monthly costs for subscription-based content and continually hiking their rates, many are warming back up to the idea of ads if it means lower monthly fees. Cue free ad-supported TV (FAST) streaming services: free video content with no paid subscription requirement. These services generate revenue through advertising and deliver content with periodic commercial breaks to support their free model. This option has become popular as viewers have sought out cost-effective alternatives to traditional scheduled television. Free streaming TV platforms such as the Roku Channel, Tubi, and Pluto TV are growing, with one in three U.S. viewers subscribing to free ad-supported TV streaming services. If premium streaming platforms keep raising their monthly costs, we can predict that FAST will continue to grow. In this article, we’ll talk about the current state of the ad-supported TV climate, including the opportunities and challenges it poses for marketers. A history of ad-supported TV Historical context is crucial to understanding the current climate of ad-supported TV and its implications for your marketing. Before the rise of cable TV, television was free for viewers, with advertisers covering the costs. The first TV commercial, a 10-second spot for the Bulova Watch Company, aired in 1941 during a baseball game and cost the company $9. This ad kickstarted the era in which advertisements funded the TV model, which quickly surpassed radio in popularity and led to an explosion of content. From 1956 to 1988, commercials became embedded in culture, giving rise to marketing icons like Ronald McDonald and memorable campaigns like Nike's “Just Do It.” From 1989 to 2006, the world saw the rise of online entertainment and advertising with the invention of the World Wide Web — and subsequently, online video broadcasting and advertising emerged. But between 2007 and 2014, over-the-top (OTT) broadcasting and connected television (CTV) innovation disrupted traditional broadcasting, with ad-supported streaming gaining greater prominence. Platforms like Netflix and Hulu allowed viewers new freedom from the confines of scheduled programming. By 2022, CTV advertising thrived thanks to programmatic advertising, which allowed businesses to reach targeted audiences with relevant campaigns. Ad-supported streaming became widespread as platforms like Netflix and Disney+ incorporated advertising into their models. Free ad-supported TV (FAST) emerged as a form of advanced television that displaced traditional cable and satellite TV. Recent years have witnessed a notable shift back to ad-supported streaming television due to the proliferation of streaming services, subscription fatigue, and the desire for cost-effective content consumption. Looking ahead to the future, TV advertising is expected to continue growing with the potential to be influenced by innovations like virtual reality and artificial intelligence. Why did the popularity fade? Ad-supported TV waned in popularity due to the introduction of cable TV and subscription-based models. Cable TV offered ad-free content for a subscription fee, which reduced the appeal of traditional ad-supported broadcasts. Uninterrupted content became a critical selling point for cable providers, but it created fragmentation for advertisers and made it more challenging for them to reach their target audience. With cable and, later, satellite TV dominating the market, advertisers had to adapt their strategies. The decline in the popularity of ad-supported TV led to a decreased reliance on traditional advertising methods, and marketers began exploring alternative avenues to connect with consumers effectively. The recent resurgence of ad-supported TV, particularly in streaming services, indicates a shift in viewer preferences. You can utilize targeted advertising cost-effectively, as viewers prefer free, ad-supported content over subscription-based models. The resurgence of ad-supported TV models The resurgence of ad-supported TV models can be partly attributed to the COVID-19 pandemic and changing viewer preferences. In 2020, stay-at-home measures led to a surge in media consumption, and people turned to streaming for entertainment. This shift provided a unique opportunity for ad-supported models to regain popularity. But as viewers explored various streaming options, subscription fatigue set in. Paid streaming proliferation increased costs, and people began reconsidering spending on multiple subscriptions. The pandemic triggered a fundamental shift in TV consumption and caused viewers to favor ad-supported streaming models that offered free content with occasional commercial breaks. In fact, LG Ad Solutions research revealed that 80% of American TV viewers use free ad-supported streaming services — and 63% express a preference for this model. This finding challenges assumptions made during the initial stages of the pandemic, where subscription-based consumption seemed dominant. The study suggests that as subscription fees accumulated, viewers sought more content without increasing costs, driving a preference for ad-supported streaming. Furthermore, the landscape of ad-supported TV saw notable entries from major streaming platforms: HBO launched its ad-supported model in June 2021. Netflix and Disney+ introduced their ad-supported tiers in late 2022. Amazon announced in September 2023 that they would be launching their ad-supported service in 2024. These developments emphasize the industry's recognition of the demand for ad-supported content and further contribute to the prominence and endurance of this model. Most popular platforms A report from Samba TV showed that one in three U.S. viewers subscribes to free ad-supported TV streaming services, such as Pluto TV, Tubi, or the Roku Channel. The report highlights Amazon's Freevee as a standout due to its high viewership growth in the first half of 2023 compared to competitors. Here are some details to note about Freevee and its major competitors: Freevee (Amazon Prime) With a focus on bringing diverse content to its audience, including thousands of premium TV shows and movies, Freevee has positioned itself as a go-to destination for those looking for quality programming without subscription fees. In early 2022, Freevee had 65 million monthly active users, and their ad prices, similar to competitor costs, range between $13 and $24 per day — around $400 and $720 per month, respectively. Pluto TV (Paramount) As a pioneer in the FAST streaming space, Pluto TV, now under Paramount, boasts a diverse range of 250+ channels. According to Statista data from November 2022, 8% of Americans watched TV on Pluto on a daily basis, with men watching more often than women. You can strategically engage with Pluto TV's varied audience for around $999 a month, with advertising costs influenced by factors like viewership and channel prominence. Tubi (Fox) Surpassing many competitors in viewership, Tubi, owned by Fox, offers an extensive collection of free content (200,000 movies and TV episodes) and enjoys 74 million active monthly users. Tubi has experienced the fastest growth among young, diverse audiences and has produced or acquired 200 titles that almost 54 million viewers have watched. You can market to viewers on Tubi for $10 to $45 daily or $300 to $1,350 monthly. The Roku Channel With over 350 channels and premium original content, The Roku Channel has become an important player in the FAST space. Approximately 38% of streaming hours in U.S. households are spent on the Roku Channel. With Roku Ads Manager, you can get started with only $500. New players The FAST industry is seeing an influx of new players all the time, which is contributing to the industry's growth and innovation. As traditional subscription-based models adapt to include ad-supported tiers, the competition in the ad streaming sphere has intensified, prompting both established and emerging platforms to explore the FAST model. Statista reports that the number of users in the FAST market is expected to reach 1.1 billion by 2028! The recent entry of industry giants like Netflix into the ad-supported realm has set the stage for significant shifts. When Netflix announced and launched its ad-supported tier in late 2022, the industry experienced a notable spike in CPMs (cost per mille/cost per thousand impressions). This reflected the initial scarcity of users on this tier. As more subscribers embraced the ad-supported offering, CPMs decreased. Subscription video-on-demand (SVOD) platforms, including Disney+, are also incorporating ad-supported tiers into their models to cater to viewers' preferences for cost-effective streaming options. Industry reports illustrate a decrease in CPMs as more users engage with ad-supported tiers, which creates a vibrant, competitive environment for advertisers like you. Free ad-supported streaming vs paid ad-supported TV The affordability of free ad-supported streaming services is attractive for viewers seeking cost-effective alternatives to traditional cable or non-ad-supported streaming platforms. Platforms like Pluto TV and Tubi provide viewers with a wealth of content without the financial commitment of a subscription. Free ad-supported streaming services like these have gained traction for their cost-effectiveness. In contrast, paid ad-supported TV models present a unique proposition — pay for the service and enjoy reduced subscription costs by opting for an ad-supported plan. These models provide users with a middle ground between subscription-based and free ad-supported streaming. The future popularity of free ad-supported streaming versus paid ad-supported streaming is likely to be influenced by a combination of viewer preferences, content strategies, ad experiences, and broader industry dynamics. As both models evolve, streaming services will continue to experiment and adapt to meet the diverse needs of their audiences. What FAST popularity means for marketers The shift towards FAST aligns with changing viewer preferences. This makes things easier for your marketing, as you can: Engage a broader audience: Without the barriers of subscription fees, and the ability to place ads in front of diverse demographics, you can customize campaigns for specific audiences and ensure your messages resonate with viewer interests. Convey your message to a captive audience: The rise of FAST also implies an increased viewership of commercials, as these services typically feature ad-supported models with limited options for viewers to skip or fast-forward through ads, creating a more captive and engaged audience. Expand your brand exposure: The cost-effectiveness of ad-supported models provides a valuable avenue for brand exposure without the hefty price tags associated with traditional TV advertising. As a marketer, it’s essential for you to understand the dynamics of ad-supported TV platforms so you can recognize unique advertising formats, optimize campaign frequency to prevent ad fatigue, and embrace the potential for localization and personalization. As advertising evolves with the growing popularity of FAST, you have an opportunity to stay ahead of the curve, craft compelling campaigns, and maximize your reach at a time when ad-supported streaming is at the forefront of entertainment. The future of ad-supported TV The re-emergence of ad-supported TV, along with recent innovations, indicates that the future of this model is bright. Teevee Corporation, a hardware startup led by the co-founder of Pluto TV, is an excellent example. It is set to unveil a groundbreaking ad-supported physical television that won’t cost consumers a single cent — as long as they’re okay with a second integrated screen that displays ads while they watch the main screen. This TV is distinct from streaming services and uses automatic content recognition (ACR) for contextually relevant ad delivery. Teevee's approach introduces a new dimension to viewer engagement that combines traditional broadcasting with targeted advertising. Major streaming platforms are actively contributing to the evolution of ad-supported TV as well. Amazon made the strategic move to bring Amazon Original titles and additional ad-supported channels to Freevee to demonstrate its commitment to the ad-supported market. The platform introduced 23 new ad-supported TV channels from major entertainment players such as Warner Bros. Discovery and MGM. As a result, Amazon's Freevee experienced tremendous growth in viewership in the first half of 2023, up 11% year-over-year. These recent advances illustrate what the future of streaming with ad-supported TV may look like moving forward, where hardware innovation meets strategic content integration, and major platforms compete to enhance their ad-supported offerings. How Experian can help Although the FAST industry is rapidly evolving, Experian stands at the forefront with powerful data-driven solutions that empower you to take advantage of this valuable marketing opportunity. Consumer Sync is a robust identity solution that empowers advertisers by facilitating collaboration and offering insights that contribute to more effective and targeted FAST campaigns. Audience segmentation, attribution, and campaign optimization play vital roles in FAST advertising. Our Consumer View solution provides industry-leading data solutions for audience segmentation, which allows marketers to predict buying behaviors and deliver personalized experiences. Connect with Experian's TV experts As you explore the possibilities of ad-supported TV, Experian offers the expertise and solutions you need to elevate your marketing strategies. Connect with our TV experts today to gain a deeper consumer understanding, refine your targeting, and ensure the success of your campaigns. Connect with our TV experts today Latest posts
Experian continues to lead in data accuracy according to Truthset's latest analysis Advertisers, technology partners, and agencies are all chasing accurate data to power their marketing strategies. But not all data is created equal. Truthset’s latest findings confirm Experian's leadership in third-party data accuracy, giving brands and agencies confidence in every decision they make. Accurate data is the foundation for predictive insight, real-time intelligence, and AI-powered personalization. Experian’s AI-driven solutions help marketers move from data to action, delivering more relevant messages with less waste. Truthset's independent study found that up to 51% of ad targeting data is inaccurate, with accuracy rates ranging between 32% and 69% across providers. This reinforces the importance of validated, trusted data from partners like Experian. The data quality challenge Inaccurate data can lead to: Wasted ad spend Without accurate data at the start, marketers can’t reach the right audiences, resulting in wasted impressions. Privacy and compliance risks In an increasingly privacy-centric world, advertisers need to be especially mindful of accurate targeting to avoid putting their brand reputation at risk. Poor campaign performance Low-quality data skews metrics and attribution models, making it difficult to measure campaign success and optimize spend. Low-quality data can come in different forms, like inconsistent or outdated information – think demographics (age, gender) and interests (dog versus cat lover), or simply the wrong relationship can be made between data sets. Data records can be incomplete or duplicative, and data segments could be misclassified or inaccurate. For example, a kids' snack food company may think they’re targeting a 35-year-old man, who lives in the suburbs with his young family, when in fact it’s a 65-year-old woman who moved to the city after her kids went to college. That's wasted investment. As data ecosystems grow more complex, that's where Experian's AI-powered simplicity comes in. We can clean, enrich, and infer missing signals, helping you act on incomplete or imperfect data with greater confidence. Building a solid data foundation Accurate data is essential for personalization and trust. According to eMarketer, more than 75% of internet users worldwide are willing to share their email address, brand interest, and name in exchange for personalized experiences. Without accurate data, marketers won’t be able to provide the level of personalization that consumers desire. But personalization at scale requires more than just data, it needs intelligence. Experian's AI-powered capabilities, including predictive models, transform clean, validated data into meaningful engagement strategies that balance performance with privacy. Independent validation from Truthset ensures that Experian’s data remains among the most accurate in the ecosystem. "As cookies and mobile ad identifiers continue to phase out, consented, durable identifiers (hashed email, postal addresses) are going to serve as the foundation for identity solutions of the future. And the only way to ensure you are transacting on the highest quality identity and demography data is to actively validate the data you rely on with a third party.” Chip Russo, President at Truthset Experian's commitment to data accuracy Since joining the Truthset Data Collective in 2023, Experian continues to be the industry leader in data accuracy. Truthset's latest Q2 2025 analysis reaffirms our leadership in data accuracy: Experian is the #1 data provider of largest volume of high-accuracy hashed emails (HEMs) Experian ranks #1 in accuracy for eight marketing data attributes, including but not limited to Age, Geography, Presence of Children, and Education Experian ranks #1 or #2 for 22 of the 24 attributes, and #3 for the two others (out of 12 companies being analyzed) Experian consistently has the largest number of HEMs that are 90% or more likely to be accurate “As a member of the Truthset Data Collective, Experian received top ranks across a variety of categories for its data. The entire digital advertising world runs on data, but focusing on data accuracy is going to drive the next phase of innovation for the industry, enhancing ROI for advertisers, CPMs for publishers, and relevant experiences for consumers.” Chip Russo, President at Truthset As Truthset's recent study highlights, the data matched between hashed emails and postal addresses is crucial, underpinning everything from targeted ads to TV audience measurement. Highly accurate HEMs linked to high-quality demographic data should be the foundation of any marketing plan. Advertisers are able to overcome the complexities of identity resolution by tying online and offline touchpoints together to deliver a consistent message across channels. Real-time relevance, powered by ethical AIExperian combines validated identity data with intelligent technology to deliver marketing that works for people and brands. Companies are striving to eliminate marketing waste and provide consumers with personalized marketing and the advertising industry can have confidence that Experian’s marketing data has been externally validated as being highly accurate. The accuracy of our data will power better marketing initiatives, like insights, targeting, identity, and measurement. Whether you're optimizing for reach, relevance, or ROI, AI is changing how marketing works. Experian’s human-centered, privacy-first AI makes it easier to adapt, act faster, and connect with consumers in ways that are more meaningful. Let's start a conversation about how we can fully realize the potential of data-driven advertising together. Contact us today FAQs What is Truthset, and why does their validation matter? Truthset is an independent data validation company that reviews and ranks data providers based on accuracy. Their ratings help advertisers understand which data sources they can trust. Experian ranks #1 in data accuracy according to Truthset. How does Experian’s performance compare to others in Truthset’s study? Experian ranks #1 for accuracy in multiple categories, including Age, Geography, and Presence of Children, and holds the largest number of hashed emails that are 90% or more likely to be accurate. Why is data accuracy so important for marketers? Accurate data is important for marketers because it leads to more efficient targeting, reduced ad waste, and better campaign performance. It also reduces compliance risk by helping advertisers engage responsibly. Experian's data is ranked #1 in data accuracy according to Truthset. How does Experian use AI responsibly? Experian’s privacy-first, AI-driven models clean, enrich, and validate data while respecting consent and ethical standards. How can advertisers get started with Experian's data? Connect with the Experian team to learn how our validated data and AI-powered solutions can strengthen your targeting, insights, and ROI. Latest posts