Contextual ad targeting paves the way for new opportunities
Advertisers and marketers are always looking for ways to remain competitive in the current digital landscape. The challenge of signal loss continues to prompt marketers to rethink their current and future strategies. With many major browsers phasing out support for third-party cookies due to privacy and data security concerns, marketers will need to find new ways to identify and reach their target audience. Contextual ad targeting offers an innovative solution; a way to combine contextual signals with machine learning to engage with your consumers more deeply through highly targeted accuracy. Contextual advertising can help you reach your desired audiences amidst signal loss – but what exactly is contextual advertising, and how can it help optimize digital ad success?
In a Q&A with our experts, Jason Andersen, Senior Director of Strategic Initiatives and Partner Solutions with Experian, and Alex Johnston, Principal Product Manager with Yieldmo, they explore:
- The challenges causing marketers to rethink their current strategies
- How contextual advertising addresses signal loss
- Why addressability is more important than ever
- Why good creative is still integral in digital marketing
- Tips for digital ad success
By understanding what contextual advertising can offer, you’ll be on the path toward creating powerful, effective campaigns that will engage your target audiences.
Check out Jason and Alex’s full conversation from our webinar, “Making the Most of Your Digital Ad Budget With Contextual Advertising and Audience Insights” by reading below. Or watch the full webinar recording now!
Macro impacts affecting marketers
How important is it for digital marketers to stay informed about the changes coming to third-party cookies, and what challenges do you see signal loss creating?
Jason: Marketers must stay informed to succeed as the digital marketing landscape continuously evolves. Third-party cookies have already been eliminated from Firefox, Safari, and other browsers, while Chrome has held out. It’s just a matter of time before Chrome eliminates them too. Being proactive now by predicting potential impacts will be essential for maintaining growth when the third-party cookie finally disappears.
Alex: Jason, I think you nailed it. Third-party cookie loss is already a reality. As regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) take effect, more than 50% of exchange traffic lacks associated identifiers. This means that marketers have to think differently about how they reach their audiences in an environment with fewer data points available for targeting purposes. It’s no longer something to consider at some point down the line – it’s here now!
Also, as third-party cookies become more limited, reaching users online is becoming increasingly complex and competitive. Without access to as much data, the CPMs (cost per thousand impressions) that advertisers must pay are skyrocketing because everyone is trying to bid on those same valuable consumers. It’s essential for businesses desiring success in digital advertising now more than ever before.
Contextual ad targeting: A solution for signal loss
How does contextual ad targeting help digital marketers find new ways to reach and engage with consumers? What can you share about some new strategies that have modernized marketing, such as machine learning and Artificial Intelligence (AI)?
Jason: We’re taking contextual marketing to the next level with advanced machine learning. We are unlocking new insights from data beyond what a single page can tell us about users. As third-party cookies go away, alternative identifiers are coming to market, like RampID and UID2. These are going to be particularly important for marketers to be able to utilize.
As cookie syncing becomes outdated, marketers will have to look for alternative methods to reach their target audiences. It’s essential to look beyond cookie-reliant solutions and use other options available regarding advertising.
Alex: I think, as Jason alluded to, there’s a renaissance in contextual advertising over the last couple of years. If I were to break this down, there are three core drivers:
- The loss of identity signals. It’s forcing us to change, and we must look elsewhere and figure out how to reach our audiences differently.
- There have been considerable advances in our ability to store and operate across a set of contextual signals far more extensive than anything we’ve ever worked with in the past and in far more granular ways. That’s a huge deal because when it comes to machine learning, the power and the impact of those machine learning models are entirely based on how extensive and granular the data set is that you can collect. Machine learning can pull together critical contextual signals and figure out which constellations, or which combinations of those signals, are most predictive and valuable to a given advertiser.
- We can tailor machine learning models to individual advertisers using all those signals and find patterns across those in ways that were previously impractical or unfeasible. The transformation is occurring because of our ability to capture much more granular data, operate across it, and then build models that work for advertisers.
Addressability: Connect your campaigns to consumers
How does advanced contextual targeting help marketers reach non-addressable audiences?
Jason: Advanced contextual targeting allows us to take a set of known data (identity) and draw inferences from it with all the other signals we see across the bitstream. It’s taking that small seed set of either, customers that transacted with you before that you have an identity for, or customers that match whom you’re looking for. We can use that as a seed set to train these new contextual models. We can now look at making the unknown known or the unaddressable addressable. So, it’s not addressable in an identity sense, it is addressable in a contextual or an advanced contextual sense that’s made available to us, and we can derive great insight from it.
One of the terms I like to use is contextual indexing. This is where we take a set of users we know something about. So, I may know the identity of a particular group of households, and I can look at how those households index against any of the rich data sets available to us in any data marketplace, for example, the data Yieldmo has. We can look at how that data indexes to those known users to find patterns in that data and then extrapolate from that. Now we can go out and find users surfing on any of the other sites that traditionally don’t have that identifier for that user or don’t at that moment in time and start to be able to advertise to them based on the contextually indexed data.
Historically, we’ve done some contextual ad targeting based on geo-contextual, and this is when people wanted to do one to one marketing, and geo-contextual outperformed the one to one. But marketers weren’t ready for alternatives to one to one yet. We want marketers to start testing these solutions. Advertisers must start trying them, learning how they work, and learn how to optimize them because they are based on a feedback loop, and they’re only going to get better with feedback.
Alex: Jason, you described that perfectly. I think the exciting opportunity for many people in the industry is figuring out how to reach your known audience in a non-addressable space, that is based on environmental and non-identity based signals, that helps your campaign perform. Your known audience are people that are already converting – those who like your products and services and are engaged with your ads. Machine learning advancements allow you to take your small sample audience and uncover those patterns in the non-addressable space.
It’s also worth noting that in this world in which we are using seed audiences, or you are using your performing audiences to build non-addressable counterpart targeting campaigns, having high-quality, privacy-resilient data sets becomes incredibly important. In many cases, companies like Experian, who have high quality, deep rich training data, are well positioned to support advertisers in building those extension audiences. As we see the industry evolve, we’re going to see some significant changes in terms of the types of, and ways in which, companies offer data, and make that available to advertisers for training their models or supporting validation and measurement of those models.
Jason: Addressable users, the new identity-based users, are critical to marketers’ performance initiatives. They’re essential to training the models we’re building with contextual advertising. Together, addressable users and contextual advertising are a powerful combination. It’s not just one in isolation. It’s not just using advanced contextual, and it’s not just using the new identifiers. It’s using a combination to meet your performance needs.
It’s imperative to start thinking about how you can begin building your seed audiences. What can you start learning from, and how do you put contextual into play today? You are looking to build off a known set and build a more advanced model. These can be specialized models based on your data. You can hone in and create a customized model for your customer type, their profile, and how they transact. It’s a greenfield opportunity, and we’re super excited about the future of advanced contextual targeting.
Turn great creative into measurable data points
Why does good creative still play an integral part in digital advertising success?
Jason: Good creative has always been meaningful. It’s vital in getting people to click on your ad and transact. But it’s becoming increasingly important in this new world that we’re talking about, this advanced contextual world. The more signal that we can get coming into these models, the better. Good creative in the proper ad format that you can test and learn from is paramount. It comes back to that feedback loop. We can use that as another signal in this equation to develop and refine the right set of audiences for your targeting needs.
Alex: If you imagine within the broader context of identity and signal loss, creative and ad format becomes incredibly powerful signals in understanding how different audiences interact with and engage with different creative. In the case of the formats that serve on the Yieldmo exchange, we’re collecting data every 200 milliseconds around how individual users are engaging with those ads. Interaction data like the user scrolling back or the number of pixel seconds they stay on the screen, fills this critical gap between video completes and clicks. Clicks are sparse and down the funnel, and views and completes are up the funnel. All those attention and creative engagement type metrics occupy the sweet spot where they’re super prevalent, and you can collect them and understand how different audiences engage with your ads. That data lets you build powerful models because they predict all kinds of other downstream actions.
Throughout my career, I learned that designing or tailoring your creative to different audience groups is one of the best ways to improve performance. We ran many lift studies with analysis to understand how you can tailor creative customized for individual audiences. That capability and the ability to do that on an identity basis is starting to deteriorate. The ability to do that using a sample of data or using a smaller set of users, either where you’re inferring characteristics or you’re looking at the identity that does exist in a smaller group, becomes powerful for being able to customize your creative to tell the right story to the right audience. When you layer together all the interaction data collected at the creative level on top of all the contextual and environmental signals, you can build powerful models. Whether those are driving proxy metrics, or downstream outcomes, puts us in a powerful position to respond to the broader loss of identity that we’ve relied on for so many years.
Our recommendations for marketers for 2023 and beyond
Do you have recommendations for marketers building out their yearly strategies or a campaign strategy?
Jason: Be proactive and start testing and learning these new solutions. I mentioned addressability and being in the right place at the right time. That’s easier in today’s third-party cookie world. But as traditional identity is further constricted, you will have these first-party solutions that will not be at scale, so you’re less likely to find your user at the scale you want. It would be best if you thought about how to reach that user at the right place at the right time. They may not be seen from an identity basis. They might not be at the right place at the right time when you were delivering or trying to deliver an ad. But you increase your chance of reaching them by building these advanced contextual targeting audiences using this privacy-safe seed ‘opted-in’ user set; this is a way to cast that wider net and achieve targeted scale.
Alex: Build your seed lists, test your formats with different audiences, and understand what’s resonating with whom. Take advantage of some of the pretty remarkable advances in machine learning that are allowing us, really, for the first time to fully uncork the potential and the opportunity with contextual in a way that we’ve never done before.
Jason: At the end of the day, it’s making the unaddressable addressable. So, it’s a complementary strategy; having that addressable piece will feed the models. But also, that addressable piece still needs to be identity-based, addressable still needs to be part of your overall marketing strategy, and you need to complement it with other strategies like advanced contextual targeting. The two of them together are super complimentary. They learn from each other, and it’s a cyclical loop. Now is the time to take advantage and start testing and understanding how these solutions work.
We can help you get started with contextual ad targeting
Contextual advertising can help you stay ahead of the curve, identify your target audience, and continue to drive conversions despite signal loss. We’ve partnered with Yieldmo to help make sure that your marketing campaigns are reaching the right target audiences on the platforms that are most relevant. To get started with contextual ad targeting to reach the right audience at the right time and drive conversions, contact our marketing professionals. Let’s get to work, together.
Find the right marketing mix in 2023
Check out our webinar, “Find the right marketing mix with rising consumer expectations.” Guest speaker, Nikhil Lai, Senior Analyst from Forrester Research, joins Experian experts Erin Haselkorn, and Eden Wilbur. We discuss:
- New data on the complexity and uncertainty facing marketers
- Consumer trends for 2023
- Recommendations on finding the right channel mix and the right consumers
Get in touch
About our experts
Jason Andersen, Senior Director, Strategic Initiatives and Partner Solutions, Experian
Jason Andersen heads Strategic Initiatives and Partner Enablement for Experian Marketing Services. He focuses on addressability and activation in digital marketing and working with partners to solve signal loss. Jason has worked in digital advertising for 15+ years, spanning roles from operations and product to strategy and partnerships.
Alex Johnston, Principal Product Manager, Yieldmo
Alex Johnston is the Principal Product Manager at Yieldmo, overseeing the Machine Learning and Optimization products. Before joining Yieldmo, Alex spent 13 years at Google, where he led the Reach & Audience Planning and Measurement products, overseeing a 10X increase in revenue. During his time, he launched numerous ad products, including YouTube’s Google Preferred offering. To learn more about Yieldmo, visit www.Yieldmo.com.
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Note: This Ask the Expert was recorded prior to Experian’s acquisition of Audigent and discusses industry trends and how we’ve worked together in the past. Adopting new strategies based on trust due to evolving privacy regulations and the gradual loss of traditional signals, like third-party cookies, is essential to successfully navigating the future of digital advertising. Advertisers and marketers are at a crossroads, facing the challenge of maintaining personalization and precision while respecting consumer expectations around privacy. To stay competitive, brands must adopt future-ready strategies that focus on trust, privacy-forward technologies, and scalable solutions. In our latest Ask the Expert segment, recorded before Experian acquired Audigent, we explore how first-party data and advanced contextual audience targeting are two critical approaches for successfully navigating these changes. With insights from Greg Williams, President of Audigent, now part of Experian, and Crystal Jacques, VP of Sales at Experian, we discuss how these tools can empower your brand for long-term success. First-party data as a cornerstone strategy First-party data, a powerful tool for building meaningful connections with your audience, has emerged as a fundamental pillar of future-ready strategies. When collected and used effectively, it provides brands with a detailed understanding of consumer preferences and behaviors, enabling real-time campaign adjustments for maximum impact. “Data has become part of every step of the digital advertising supply chain, and should be part of everybody’s buys… the more you can include data in your digital marketing, the better off and the more power you have."Greg Williams, President, Audigent With the continual loss of signal, including third-party cookies, first-party data has proven to be key for brands to stay both competitive and privacy-compliant. Brands using first-party data are better positioned to overcome the challenges of signal loss. This data facilitates improved media targeting and personalized messaging, driving greater engagement and return on investment. Contextually-Indexed Audiences build relevance Experian’s Contextually-Indexed Audiences enable advertisers to target users based on their interests in real-time, without relying on cookies or mobile ad IDs. Machine learning analyzes and maps traffic from over two million websites, linking to Experian’s 2,400 audience segments. With added benefits like audience customization and flexible activation through Audigent’s private marketplaces (PMPs) or demand-side platforms, Experian is setting a new standard for scalable audience targeting. For automotive advertisers, this could mean reaching consumers actively researching luxury electric vehicles on relevant sites. Unlike outdated methods, contextual targeting aligns the message with consumer intent, balancing high precision with consumer privacy. Automotive success story Audigent’s innovative solutions have delivered tangible results. Williams mentions how they helped an automotive brand achieve double the scale and triple their goal of driving test drives. This stands as a testament to the real-world effectiveness of contextual audience strategies and Experian's role in executing them. How to stay ahead of change Here are five strategies to help your brand remain future-ready amid privacy challenges and signal loss: Prioritize first-party data: Build trust and improve targeting accuracy by relying on data that you own directly from your consumers. Test privacy-forward tools: Experiment with solutions like contextual targeting and Google’s Privacy Sandbox to future-proof your advertising. Strengthen identity framework: Create systems to securely manage and use data for cross-channel decision making. Use scalable tools: Partner with trusted providers to deploy solutions that adapt to changing industry standards. Stay proactive and flexible: Continuously evaluate trends and refine approaches to align with emerging consumer and regulatory expectations. A deeper conversation For additional insights, watch our full Q&A. Greg Williams and Crystal Jacques discuss the future of audience targeting, how first-party data reshapes marketing strategies, and how Experian and Audigent have collaborated in the past. Watch now Contact us About our experts Greg Williams, President, Audigent Greg Williams is Audigent's President, responsible for managing Audigent’s vast portfolio of ecosystem partners, enterprise sales, marketing, and client success. An innovator in programmatic ad buying, Williams co-founded MediaMath and was instrumental in building and scaling that company in the US and internationally. He led MediaMath's international expansion in 2011 and grew that business from zero to a top revenue driver for the company in three years. During his 14 years at the company, Williams held global roles and built teams across every function of the organization — most notably leading business and market development, product development, and partnerships. Prior to co-founding MediaMath, Williams held senior positions at [X+1] (which was later acquired by RocketFuel), Nielsen, and Accenture. Crystal Jacques, Head of Enterprise Sales, Experian Head of Enterprise Partnerships, leading Experian's go-to-market team across all verticals. With over ten years of experience in the Identity space, Crystal brings a wealth of expertise to her role. She joined Experian in 2020 through the Tapad acquisition, following her successful stint as the head of Global Channel Partnerships for Adbrain, which The Trade Desk later acquired. Latest posts
CES 2025 will be an exciting opportunity to explore how we can work together to shape the year ahead. Here are four themes we expect to take center stage at the event. “There is no better way to kick off the calendar year than with clients and industry peers that are excited to collaborate on new business opportunities. People come straight off the holidays energized by CES and with a pipeline of deals to work on for the coming month. In-person meetings always trump virtual calls and everyone in the industry comes together to make it a fruitful week.”Crystal Jacques, Head of Enterprise Partnerships 1. Addressability in a signal-loss world Addressability has become a cornerstone in AdTech as brands aim to deliver personalized experiences while navigating evolving privacy regulations and signal loss. This shift has prompted advertisers to rethink how they reach and engage audiences. In this environment, alternative identifiers such as UID2 and ID5 have gained traction, offering brands new avenues to target consumers across platforms while respecting privacy. Addressability has shifted from a straightforward tracking mechanism to a multifaceted strategy that combines identity solutions, contextual insights, and collaboration across the ecosystem. ID Bridging and the new OpenRTB 2.6 specs As the industry loses identity signals, it becomes increasingly difficult to identify audiences on the supply-side and make them reachable for the demand-side. The supply-side has used the practice of ID bridging to do just that. ID bridging is the supply-side practice of connecting the dots between available signals to infer a user’s identity and communicate it to prospective buyers. This practice sparked debate, as buyers want full transparency into the use of a deterministic identifier versus an inferred one. "The OpenRTB 2.6 specifications are a critical step forward in ensuring transparency and trust in programmatic advertising. By aligning with these standards, we empower our partners with the tools needed to navigate a cookieless future and drive measurable results.”Michael Connolly, CEO, Sonobi The industry needs widely accepted standards, and that's what we believe the industry has with the IAB Tech Lab's OpenRTB 2.6. The specifications dictate the data the supply-side needs to include in the Primary ID and Enhanced Identifier (EID) fields. In doing so, the demand-side receives more transparent information on when bids have inferred IDs and where they came from. As authenticated signals decrease due to cookie deprecation and other consumer privacy measures, we will continue to see a rise in inferred identifiers. Experian’s industry-leading Digital Graph has long supported both authenticated and inferred identifiers, providing the ecosystem with connections that are accurate, scalable, and addressable. Experian will continue to support the industry with its identity resolution products and is very supportive of IAB’s efforts to bring transparency to the industry around the usage of identity signals. 2. Commerce media consolidation As the world of commerce media expands beyond traditional retail media, we’re seeing a surge of networks across various verticals—financial, travel, and beyond—all competing to capture shoppers’ attention. With each company independently building its own media network, the need for strategic partnerships has never been more evident. Key players face challenges in scaling these networks and meeting growth targets due to infrastructure and funding limitations. In response, the industry is shifting toward partnerships – and potentially consolidation – to create networks that allow advertisers to reach customers across the entire shopping journey – from digital to in-store. To succeed, commerce media networks must form strategic partnerships to enhance their data and identity capabilities and provide advertisers with a complete view of their customer. “With annual growth in billions of dollars, the revenue potential for RMNs is massive. Organizing customer data, segmenting customers, generating insights, creating addressable audiences, and activating campaigns are all critical steps for a RMN to realize that revenue potential. RMNs should select a partner that provides the data, identity and analytical resources to create the winning formula for marketers, customers and retailers.”Steve Zimmerman, Director of Analytics With Experian’s expertise in data and identity solutions, commerce media networks can overcome data fragmentation, create high-quality audiences, and maximize addressability across their entire customer base. This collaborative, partner-led approach empowers retailers to utilize their first-party customer data but not be limited by in-house resources. As the commerce media space matures, those who embrace these partnerships and data-driven solutions will be well-positioned to capture the full potential of this expanding market. 3. Navigating complex privacy regulations With privacy concerns intensifying, consumers are more conscious about data usage, and a series of state-level privacy laws are poised to take effect across the U.S. Multiple state-level laws makes compliance more challenging for marketers since no two laws are the same. While a federal privacy law remains unlikely for 2025, discussions around data ethics, compliance, and transparency will be prominent at CES, especially as a new administration assumes office. Our privacy-forward audience solutions Our Geo-Indexed and Contextually-Indexed Audiences help marketers reach the right consumers while prioritizing data privacy. Created without sensitive personal information, these audiences utilize geographic and contextual signals – not personal identifiers — to offer relevant targeting. These new tools provide both privacy and accuracy, giving advertisers and publishers a competitive edge. “By embracing innovations in geo-based targeting and adhering to responsible data strategies, you can not only comply with these laws but continue to reach your intended audiences effectively.”Jeremy Meade, VP, Marketing Data & Operations As privacy regulations evolve, marketers need trusted allies who can provide transparent, compliant solutions. With deep roots in data protection and security, you can confidently partner with Experian as we proactively stay ahead of regulations and strictly follow all consumer privacy laws. 4. Rise of curation As privacy regulations and signal loss reshape the AdTech ecosystem, curation can optimize programmatic campaigns by connecting advertisers with valuable audiences. This emerging trend utilizes audience, contextual, and supply chain signals to curate high-quality inventory packages for advertisers. By blending insights with inventory, curation ensures greater addressability, efficiency, and performance for both advertisers and publishers. Supply-side platforms (SSPs) are taking a more active role in curating audiences and inventory. SSPs now collaborate with data providers to match buyer and publisher first-party data in real-time, creating curated private marketplaces (PMPs) that deliver transparency, efficiency, and improved match rates. SSPs can send deal IDs to multiple DSPs, which allows advertisers to deploy audience-based campaigns without restrictions on which DSPs or identifiers can be used. However, curation isn’t without challenges. It can add complexity, lead to redundant buys, and even reduce publisher control over inventory. Transparency, quality benchmarks, and strategic partnerships will be critical for maximizing the benefits of curation in 2025. Experian, in partnership with Audigent and others, is at the forefront of enabling privacy-forward curation strategies. Experian and Audigent’s combined capabilities bring together first-party publisher data, contextual signals, and advanced identity resolution to create curated PMPs that empower marketers to deliver precise, impactful campaigns. Follow us on LinkedIn or sign up for our email newsletter for more informative content on the latest industry insights and data-driven marketing. What were the top themes at CES 2025? Read our CES recap to find out. Read now Contact us Latest posts
At Experian, we understand the importance of audience targeting when it comes to crafting a successful marketing campaign. We are excited to share a curated list of audience recommendations to support your campaign planning so you can confidently connect with your audience. What separates Experian’s syndicated audiences Experian’s 2,400+ syndicated audiences are available directly on over 30 leading television, social, programmatic advertising platforms, and directly within Audigent for activation within private marketplaces (PMPs). Reach consumers based on who they are, where they live, and their household makeup. Experian ranked #1 in accuracy by Truthset for key demographic attributes. Access to unique audiences through Experian’s Partner Audiences available on Experian’s data marketplace, within Audigent for activation in PMPs and directly on platforms like DirectTV, Dish, Magnite, OpenAP, and The Trade Desk. New and improved audience segments we recommend for Q1 campaigns Q1 is the ultimate season for TV, with the NFL playoffs, Super Bowl, College Football playoffs, award shows and so much more capturing viewers’ attention. That’s why we're excited to introduce 14 new and 8 updated television audiences. Recently released on major platforms, these new television audiences offer unique opportunities to align your campaign planning with the latest viewer behavior trends. Cable Satellite or Streaming Network Subscribers Satellite Service Subscribers Mutli Brand TV Owners Seasonal audiences for Q1 New Year’s audiences As the new year approaches, it’s the ideal moment to connect with consumers inspired by their New Year’s resolutions. In 2024, one-third of U.S. adults set goals for the year, focusing on key areas like healthier living, getting organized, exploring new experiences, and improving financial wellness. Experian’s New Year’s resolution audiences provide valuable insights into these aspirations, allowing you to tailor your messaging and engage with consumers determined to make positive changes in 2025. From promoting healthy lifestyles and travel to supporting organization and financial goals, Experian’s data-driven solutions help you capture these motivated audiences with precisely targeted messaging. Learn more here Football audiences Football season presents an unmatched opportunity for brands to connect with one of the most engaged audiences in the U.S. As in-game ad costs continue to rise and slots fill up quickly, brands are seeking innovative ways to reach passionate football viewers beyond the game. Experian’s specialized football audience segments allow advertisers to engage with fans across categories like NFL stadium visitors, college football enthusiasts, beer drinkers, and dedicated TV viewers, ensuring your brand connects meaningfully with consumers throughout the season. Read more here Financial audiences With tax season just around the corner, brands have the opportunity to connect with financially engaged audiences in the U.S. Whether your goal is to reach self-starters managing their own returns or high-net-worth individuals seeking advanced tax solutions, Experian can ensure your brand connects meaningfully with the right financial audience at the right time. Experian’s specialized financial audience segments empower brands to engage with key groups, such as: Tax Return – Self prepare user Tax Return – Online tax software user Tax Return – Professional Service Preparer user Savvy Sounding-Board Seeking Investor Price Sensitive, Self-Directed Investor Top recommendations for Q1 Based on the top Experian audiences activated in Q1 of 2024, our top 10 list is designed to assist agencies and media buyers plan data-driven advertising campaigns. Occupation 1) Small Business Owners: This segment contains consumers who are likely to be small business owners. 2) Military – Inactive: This segment contains consumers who are likely to be inactive in the military. 3) Legal/Education and Health Practitioners: This segment contains consumers who are likely to have an occupation in Legal/Education and Health Practitioner. 4) Technical: Computers/Math and Architect/Engineering: This segment contains consumers who are likely to have an occupation in Computers/Math and Architect/Engineering. Consumer Lifestyles 5) Vacation/Leisure Travelers: Weekend Getaways: This segment contains consumers who are likely high spenders or frequent purchasers of weekend getaway travel. 6) Women's Sleepwear and Lingerie: High Spenders: This segment contains consumers who are likely high spenders at women's sleepwear and lingerie stores (e.g., Soma, Victoria's Secret). 7) Smart Investors: This segment contains consumers who are likely actively seeking out as much information about an investment as possible before committing, shopping around for the best investment deal, and aversion to financial debt. 8) Computers/Software Frequent Spenders: This segment contains consumers who are likely frequent spenders of computer software. Life Events 9) New Movers: High Spenders: This segment contains consumers who are likely new mover high spenders. 10) New Parents: Child Aged 0-36 Months: This segment contains consumers who are likely to be new parents for children aged 0-36 months. You can find the complete audience segment name in the appendix. Activate the right audiences with Experian For a full list of Experian’s syndicated audiences and activation destinations, download our syndicated audiences guide. Need a custom audience? Reach out to our audience team and we can help you build and activate an Experian audience on the platform of your choice. Connect with our audience team Contact us Appendix Here are the complete audience segment names (taxonomy paths) for all audience segments discussed in this blog post. TV Audiences Television (TV) > Household/Family Viewing > Cable Satellite or Streaming Network Subscribers Retail Shoppers: Purchase Based > Seasonal > Discount Holiday Shoppers Television (TV) > Brand Owners > Multi Brand TV Owners Financial Audiences Lifestyle and Interests (Affinity) > Financial Behavior > Tax Return – Self prepare user Lifestyle and Interests (Affinity) > Financial Behavior > Online Tax Software user Lifestyle and Interests (Affinity) > Financial Behavior > Tax Return –Professional Service Prepare user Financial Personalities > Investments Financial Personality > Savvy Sounding-Board Seeking Investor, Average Investable Assets Financial Personalities > Investments Financial Personality > Price Sensitive, Self-Directed Investor, Very High Investable Assets Occupation Consumer Behaviors > Occupation: Small Business Owners Lifestyle and Interests (Affinity) > Occupation > Military – Inactive Demographics > Occupation > Professional: Legal/Education and Health Practitioners Demographics > Occupation > Technical: Computers/Math and Architect/Engineering Consumer Lifestyles Retail Shoppers: Purchase Based > Travel > Vacation/Leisure Travelers: Weekend Getaways Retail Shoppers: Purchase Based > Apparel > Women's Apparel (Clothing): Women's Sleepwear and Lingerie: High Spenders Financial Behavior > Smart Investors Retail Shoppers: Purchase Based > Technology/Telecom > Computers/Software Frequent Spenders Life Events Retail Shoppers: Purchase Based > Shopping Behavior > New Movers: High Spenders Life Events > New Parents > Child Age 0-36 Months Latest posts