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
Latest posts
Retail media has been on everyone’s radar for a while. Commerce media has also established itself as a significant player in the AdTech industry over the past few years. While retail media focuses on engaging customers within a retailer’s ecosystem, commerce media goes beyond these boundaries to capture the entire shopping journey, spanning multiple touchpoints, channels, and platforms.But what is commerce media, and why should we care? Commerce media is here to stay Estimated to hit $33.86 billion this year and more than double by 2028, the hunt is on to capture as much of retail media’s projected ad spend as possible. However, given the numerous verticals expanding their retail media strategy to include any touchpoint within the commerce channel, it might be time to lower the retail media flag and hoist the LUMA dubbed "commerce media flag." So why are Travel, Financial Services, and other verticals focusing on the commerce media ship? Authenticated and digital users (usually app-driven) Consented data that provides unique insight into the household’s or consumer’s intent/purchase behavior Emerging focus on advertising as an important revenue stream for the future With all this “data” at their disposal — why is it not smooth sailing for commerce media to build an ad-supported business? What’s missing for them to acquire the lucrative billions efficiently and effectively? Why retail media networks are important Retail media networks (RMNs) are now a major tool for brands to connect with shoppers. These networks gather valuable data from customers who browse and shop on e-commerce sites and apps. What makes RMNs so powerful is that they allow brands to advertise directly to people who are already interested in buying, leading to more successful sales. For marketers, RMNs offer a clear way to reach potential customers and ensure their advertising dollars are well spent. But as competition grows and consumer habits change, these networks must keep improving. To stay ahead, brands will have to find new ways to use RMNs effectively, linking them with other parts of the commerce media world to unlock even greater results. Differences between building a loyalty program and developing ad products Loyalty programs are the backbone of commerce media networks; however, creating a loyalty program is much different than building an advertising product. It requires commerce companies to bring on additional people, technology, and partners to execute flawlessly. There are four areas to consider: 1. Organizing your data at scale To successfully build an ad-supported business at scale, data must be organized to initiate action (targeting and/or measurement). However, this requires changes in company culture. Both the business and technology infrastructure must be updated. Additionally, commerce media companies must update their mindset around creating and selling products. 2. People We have seen this story before, with large opportunities comes the requirement for new talent. Where are we seeing commerce media companies recruit from? AdTech and MarTech. Whether it’s engineers or data scientists, business development and partnership leads, or even your direct sales team, the poaching has begun. To build a successful business around advertising, experts are needed who can navigate the waters. 3. Partner vs. build The Requests for Information (RFIs) and Requests for Proposals (RFPs) for any combination of agency, demand-side platform, supply-side platform, customer data platform, identity graph, clean room, and beyond are piling up. One trend is clear: commerce media companies are looking for collaborative partners to provide a true strategic partnership to take on the complexities of the transition away from retail media. 4. Identity will remain the keystone to success All commerce media companies have some identity data that reveals a slice of their customers’ viewpoint. Yet, unlocking the broad view of these audiences is crucial to success. These companies need to use the “full pie” to see well-rounded profiles, gain the reach required to access them across many channels, and turn opportunities into revenue. Advertisers can finally close the loop with commerce media networks Commerce media companies with real-time transaction data enable advertisers to see true ROI on their ad spend when products move off the shelves. Measuring real product lift/sale touch points across multiple channels will put performance and measurement front and center. Programmatic was the promise of performance advertising. Well, commerce media may finally fulfill that vow, creating enough value for companies to make it a real competitor to social channels. While retail media will always exist, the transition to commerce media has become increasingly popular and is here to stay. The journey might not be a straight shot to perfect results, but the data, partnerships, and resources are out there and ready to hop aboard to help guide commerce media companies to success. The future of commerce media Commerce media shows no signs of slowing down. More industries are seeing the benefit of making every customer touchpoint an opportunity to drive sales. Whether through social media shopping or in-app purchases, commerce media pushes businesses to create smoother, more connected shopping experiences for consumers. In the future, brands won’t just compete on prices or products — they’ll stand out by offering simple, seamless shopping experiences across all devices. With better data and tools to track consumer behavior, brands will be able to personalize their ads and measure their success in real time. Commerce media allows brands to see a direct link between their ads and sales. Those who can adapt and keep up with these changes will come out on top. Create a connected customer view with Experian At Experian, we empower RMNs to unlock the full potential of their first-party data through comprehensive identity and audience solutions. Our data-driven capabilities enable RMNs to build a deeper understanding of their customers, optimize audience targeting across channels, and create enriched, actionable segments that drive measurable outcomes. By seamlessly connecting our offline and digital data, we help RMNs organize identities into households, device IDs, and more. Each household is enriched with valuable marketing insights, allowing you to gain better customer understanding, create targeted advertising, and reach the right customers across different devices. Additionally, you’ll be able to measure the effectiveness of your advertising efforts. With our support, RMNs can maximize revenue opportunities, extend reach, and confidently demonstrate the value of the network to advertisers. Contact us today to find out how Experian can help you succeed in commerce media. Contact us Latest posts
Originally appeared on MarTech Series Marketing’s understanding of identity has evolved rapidly over the past decade, much like the shifting media landscape itself. From the early days of basic direct mail targeting to today's complex omnichannel environment, identity has become both more powerful and more fragmented. Each era has brought new tools, challenges, and opportunities, shaping how brands interact with their customers. We’ve moved from traditional media like mail, newspapers, and linear/network TV, to cable TV, the internet, mobile devices, and apps. Now, multiple streaming platforms dominate, creating a far more complex media landscape. As a result, understanding the customer journey and reaching consumers across these various touchpoints has become increasingly difficult. Managing frequency and ensuring effective communication across channels is now more challenging than ever. This development has led to a fragmented view of the consumer, making it harder for marketers to ensure that they are reaching the right audience at the right time while also avoiding oversaturation. Marketers must now navigate a fragmented customer journey across multiple channels, each with its own identity signals, to stitch together a cohesive view of the customer. Let’s break down this evolution, era by era, to understand how identity has progressed—and where it’s headed. 2010-2015: The rise of digital identity – Cookies and MAIDs Between 2010 and 2015, the digital era fundamentally changed how marketers approached identity. Mobile usage surged during this time, and programmatic advertising emerged as the dominant method for reaching consumers across the internet. The introduction of cookies and mobile advertising IDs (MAIDs) became the foundation for tracking users across the web and mobile apps. With these identifiers, marketers gained new capabilities to deliver targeted, personalized messages and drive efficiency through programmatic advertising. This era gave birth to powerful tools for targeting. Marketers could now follow users’ digital footprints, regardless of whether they were browsing on desktop or mobile. This leap in precision allowed brands to optimize spend and performance at scale, but it came with its limitations. Identity was still tied to specific browsers or devices, leaving gaps when users switched platforms. The fragmentation across different devices and the reliance on cookies and MAIDs meant that a seamless, unified view of the customer was still out of reach. 2015-2020: The age of walled gardens From 2015 to 2020, the identity landscape grew more complex with the rise of walled gardens. Platforms like Facebook, Google, and Amazon created closed ecosystems of first-party data, offering rich, self-declared insights about consumers. These platforms built massive advertising businesses on the strength of their user data, giving marketers unprecedented targeting precision within their environments. However, the rise of walled gardens also marked the start of new challenges. While these platforms provided detailed identity solutions within their walls, they didn’t communicate with one another. Marketers could target users with pinpoint accuracy inside Facebook or Google, but they couldn’t connect those identities across different ecosystems. This siloed approach to identity left marketers with an incomplete picture of the customer journey, and brands struggled to piece together a cohesive understanding of their audience across platforms. The promise of detailed targeting was tempered by the fragmentation of the landscape. Marketers were dealing with disparate identity solutions, making it difficult to track users as they moved between these closed environments and the open web. 2020-2025: The multi-ID landscape – CTV, retail media, signal loss, and privacy By 2020, the identity landscape had splintered further, with the rise of connected TV (CTV) and retail media adding even more complexity to the mix. Consumers now engaged with brands across an increasing number of channels—CTV, mobile, desktop, and even in-store—and each of these channels had its own identifiers and systems for tracking. Simultaneously, privacy regulations are tightening the rules around data collection and usage. This, coupled with the planned deprecation of third-party cookies and MAIDs has thrown marketers into a state of flux. The tools they had relied on for years were disappearing, and new solutions had yet to fully emerge. The multi-ID landscape was born, where brands had to navigate multiple identity systems across different platforms, devices, and environments. Retail media networks became another significant player in the identity game. As large retailers like Amazon and Walmart built their own advertising ecosystems, they added yet another layer of first-party data to the mix. While these platforms offer robust insights into consumer behavior, they also operate within their own walled gardens, further fragmenting the identity landscape. With cookies and MAIDs being phased out, the industry began to experiment with alternatives like first-party data, contextual targeting, and new universal identity solutions. The challenge and opportunity for marketers lies in unifying these fragmented identity signals to create a consistent and actionable view of the customer. 2025: The omnichannel imperative Looking ahead to 2025 and beyond, the identity landscape will continue to evolve, but the focus remains the same: activating and measuring across an increasingly fragmented and complex media environment. Consumers now expect seamless, personalized experiences across every channel—from CTV to digital to mobile—and marketers need to keep up. The future of identity lies in interoperability, scale, and availability. Marketers need solutions that can connect the dots across different platforms and devices, allowing them to follow their customers through every stage of the journey. Identity must be actionable in real-time, allowing for personalization and relevance across every touchpoint, so that media can be measurable and attributable. Brands that succeed in 2025 and beyond will be those that invest in scalable, omnichannel identity solutions. They’ll need to embrace privacy-friendly approaches like first-party data, while also ensuring their systems can adapt to an ever-changing landscape. Adapting to the future of identity The evolution of identity has been marked by increasing complexity, but also by growing opportunity. As marketers adapt to a world without third-party cookies and MAIDs, the need for unified identity solutions has never been more urgent. Brands that can navigate the multi-ID landscape will unlock new levels of efficiency and personalization, while those that fail to adapt risk falling behind. The path forward is clear: invest in identity solutions that bridge the gaps between devices, platforms, and channels, providing a full view of the customer. The future of marketing belongs to those who can manage identity in a fragmented world—and those who can’t will struggle to stay relevant. Explore our identity solutions Contact us Latest posts
Consumers engage with content and advertisements across various devices and platforms, making an identity framework essential for establishing effective connections. An identity framework allows businesses to identify consumers across multiple touchpoints, including the relationships among households, individuals, and their devices. Combined with a robust data framework, businesses can understand the relationship between households, individuals, and marketing attributes. Consequently, businesses can tailor and deliver personalized experiences based on individual preferences, ensuring seamless consumer interactions across their devices. We spoke with industry leaders from Audigent, Choreograph, Goodway Group, MiQ, Snowflake, and others to gather insights on how innovations in data and identity are creating stronger consumer connections. Here are five key considerations for advertisers. 1. Embrace a multi-ID strategy Relying on a single identity solution limits reach and adaptability. Recent data shows that both marketers and agencies are adopting multiple identity solutions. By embracing a multi-ID strategy with solutions like Unified I.D. 2.0 (UID2) and ID5, brands can build a resilient audience targeting and measurement foundation, ensuring campaigns remain effective as identity options evolve across channels. A diversified identity approach ensures that advertisers are not left vulnerable to shifts in technology or policy. By utilizing multiple ID solutions, brands can maintain consistent reach and engagement across various platforms and devices, maximizing their campaign effectiveness. "I don't think it will ever be about finding that one winner…it's going to be about finding the strengths and weaknesses and what solutions drive the best results for us."Stephani Estes, GroupM 2. Utilize AI and machine learning to enhance identity graphs Identity graphs help marketers understand the connections between households, individuals, their identifiers, and devices. This understanding of customer identity ensures accurate targeting and measurement over time. AI and machine learning have become essential in making accurate inferences from less precise signals. These technologies strengthen the accuracy of probabilistic matches, allowing brands to understand consumer behavior more effectively even when data fidelity is lower. Adopting a signal-agnostic approach and utilizing various ID providers enhances the ability to view consumers' movements across platforms. This strategy moves measurement beyond isolated channels, providing a holistic understanding of campaign effectiveness and how different formats contribute to overall performance. By integrating AI and machine learning into identity graphs, advertisers can develop more cohesive and effective marketing strategies that guide customers seamlessly through their buying journey. "What we're finding is more and more identity providers are using Gen AI to locate connections of devices to an individual or household that maybe an identity graph would not identify."David Wells, Snowflake 3. Balance privacy with precision using AI AI-driven probabilistic targeting and identity mapping provide effective solutions for privacy-focused advertising. Rather than relying on extensive personal data like cookies, AI can use limited, non-specific information to predict audience preferences accurately. This approach allows advertisers to reach their target audience while respecting privacy—a crucial balance as the industry shifts away from traditional tracking methods. According to eMarketer, generative AI can further enhance audience segmentation through clustering algorithms and natural language processing. These tools enable more granular, privacy-compliant targeting, offering advertisers a pathway to reach audiences effectively without needing third-party cookies. "I think the biggest opportunity for machine learning and AI is increasing the strength and accuracy of probabilistic matches. This allows us to preserve privacy by building models based on the features and patterns of the consumers we do know, instead of transmitting data across the ecosystem."Brian DeCicco, Choreograph 4. Activate real-time data for better engagement Real-time data enrichment introduces dynamic audience insights into the bidding process, enabling advertisers to respond instantly to user actions and preferences. This agility empowers marketers to craft more relevant and impactful moments within each campaign. "Real-time data enrichment–where data companies can have a real-time conversation with the bid stream–is an exciting part of the future, and I believe it will open the door to activating a wide variety of data sets."Drew Stein, Audigent 5. Create and deploy dynamic personas using AI Generative AI transforms persona-building by providing advertisers with richer audience profiles for more precise targeting. This approach moves beyond traditional demographic categories, allowing for messaging that connects more meaningfully with each consumer. By using generative AI to craft detailed personas, advertisers can move beyond generic messaging to create content that truly resonates on an individual level. This personalized approach captures attention and strengthens consumer relationships by addressing their specific needs and interests. "One cool thing we've built recently is a Gen AI-based personas product that generates personas to create highly sophisticated targeting tactics for campaigns."Georgiana Haig, MiQ Seize the future of data-driven engagement Focusing on these five key innovations in data and identity allows you to adapt to the evolving media landscape and deliver personalized experiences to your audience. Contact us Latest posts