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
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.
Latest posts
In the post-cookie landscape, staying ahead requires innovative strategies and partnerships. This case study dives into how MiQ, a leader in the cookieless era, strengthened its Identity Spine with the integration of Experian's cross-device Graph. Challenge MiQ faced a pivotal challenge in avoiding a static approach to strategies and partners while evolving its cookieless initiatives. MiQ aimed to build omnichannel interoperability by integrating privacy-first partners into its Identity Spine. MiQ's primary objectives included: Reaching target audiences in privacy-compliant ways. Expanding their cookieless targeting solutions. Maintaining or increasing the scale expected from cookie-based targeting. Solution To address these challenges, MiQ strategically incorporated Experian's cross-device Graph into its proprietary Identity Spine. MiQ's Identity Spine seamlessly connects over 60 cookieless data feeds and 25 ID solutions. The integration allowed MiQ to: Create a unified view: MiQ now has a unified view of its clients' target audiences, enhancing its understanding and targeting capabilities. Increase scale: By matching first-party data to multiple universal IDs, MiQ expanded its reach across devices, contributing to a 51% increase in seed audience reach and a 64% increase in universal IDs. Improve efficiency: The combination of Experian's data with MiQ's Identity Spine facilitated cross-device ID resolution, leading to more accurate measurement and reporting. Experian's global data coverage complemented MiQ's regional expertise, amplifying global reach and adaptability to changing regulations. "Experian's Graph has bolstered our already comprehensive, multi-ID Identity Spine with incredible data on cross-device ownership and cross-channel behavior."Georgie Haig, Strategy and Partnerships Director, MiQ Digital Results The integration of Experian's data solution significantly contributed to the success of MiQ's Identity Spine expansion. The results speak volumes: A 51% increase in seed audience reach across devices. A 64% boost in reaching audiences through universal IDs. Experian's Graph added 6.5 devices to each matched IP address, enhancing scale and targeting capabilities. A 70% match rate in associating MiQ-provided IP addresses with universal IDs. These outcomes showcase how Experian's Graph empowered MiQ to find, grow, and measure customers across screens, providing a future-proofed solution for evolving industry challenges. Evolve your cookieless strategies with Experian MiQ's Identity Spine sustains its success through a robust data partnership with Experian, a partnership that continuously evolves as MiQ explores expanded applications of our products. The exploration aims to further enrich MiQ's data-driven solutions. Download the full case study to uncover the strategies that empowered MiQ's successful expansion of its Identity Spine with Experian's Graph. Your path to navigating the cookieless landscape, enhanced targeting, and measurement starts here. Download the full case study About MiQ Digital MiQ is a global programmatic media partner for marketers and agencies, with 19 offices across Europe, North America, and the Asia-Pacific region. They specialize in connecting data from multiple sources to solve business problems for their clients. They are award-winning experts in data science, analytics, and programmatic trading, focused on ensuring clients' media investments are spent on the right audiences in the right environments. To learn more, please visit www.wearemiq.com. Latest posts
In this article… What are retail media networks? How important is it to advertise with RMNs? Trends with big RMNs Reasons behind these trends Crafting your RMN ad strategy Digital advertising experienced a transformative shift in 2023, with retail media networks emerging as a focal point for advertisers seeking precision and efficacy. These networks defined how brands connect with consumers, utilizing the unique environment of digital storefronts to deliver targeted and personalized advertisements. Below, we'll discuss the diverse landscape of retail media networks, examples of these platforms, and how Experian is at the forefront of empowering advertisers within this evolving marketing ecosystem. What are retail media networks? A retail media network (RMN) is an advertising platform retailers use in their digital storefronts or online platforms. It lets brands and advertisers promote their products or services directly within the retail environment where consumers make purchasing decisions. Unlike traditional advertising channels, RMNs use the retailer's first-party data to offer targeted and personalized advertising experiences. How important is it to advertise with RMNs? RMNs offer advertisers a unique advantage — a rich set of first-party data on consumers, both on and off the platform. On-platform data includes user engagement insights, demographic information, and behavioral patterns. RMNs offer off-platform first-party data, such as cross-channel integration and CRM data integration. This data is especially important as the industry sees a shift away from the reliance on third-party cookies. One of the key challenges brands face is the lack of tracking abilities through the customer journey. However, the closed-loop measurement and attribution capabilities within RMNs help advertisers track the entire consumer journey, linking campaign spend directly to final sales and in-store purchases. The precision and accountability offered by RMNs make them a crucial strategy in the ever-evolving world of digital advertising. Trends with big RMNs Here is a list of retail media networks and their performance in 2023. The information below offers insights into their reach and effectiveness in driving sales and brand visibility. Amazon According to Pacvue’s Q4 guide, Amazon Media Network experienced a year-over-year decline in its daily spend. However, a notable quarterly increase of 3.2% suggests a recent expansion in this ad type. The current average CPC for Amazon-sponsored products is $1.21, marking a substantial 7.1% year-over-year increase. Return on ad spend (ROAS) showed a 1.5% year-over-year decrease but increased by 6.1% quarter-over-quarter, potentially caused by more efficient campaigns. The beauty category showed a particularly strong performance with a remarkable 69.4% year-over-year increase. Walmart Walmart's advertising revenues are surging at a rate twice that of Amazon, according to the Pacvue Q4 report. This quarter, the Walmart Media Network experienced a substantial 40% boost in ROAS, now at $6.93. This advancement can be attributed to strategic adjustments in the algorithm and bid rules and the incorporation of new bid features. Walmart's CPC also witnessed a noteworthy 18.3% year-over-year decrease and a 14.5% year-over-year surge in average ad spend. Walmart's growth trajectory emphasizes the shift in consumer behavior toward product discovery, as many consumers research products on the website before purchasing. Kroger Kroger developed an advanced retail media network that launched in October 2023. Their platform offers advertisers a more streamlined way to activate, measure, and optimize their campaigns, leading to improved advertising performance. The self-serve advertising platform lets advertisers promote products across the Kroger family of brands. Kroger is the biggest grocery chain in the country with a strong first-party shopper data set, providing more advanced audience targeting than many other grocery RMNs. Target Target launched its retail media network, Roundel, in 2016 to enhance the connection between brands and guests through curated media experiences. Roundel uses Target’s rich insights to create personalized advertising campaigns, reaching guests across several platforms and premium publishers. Over the past two years, Roundel has experienced over 60% growth, delivering over one billion in value for Target in 2021 and 2022. With a team of over 500 members, the platform differentiates itself by offering easy-to-use advertising solutions to brands of all sizes. Target plans to launch Roundel Media Studio, a self-service buying tool, in early 2024. Marriott In partnership with Yahoo, Marriott has created a travel media network that lets advertisers target consumers based on the hotel chain’s guest data. This collaboration allows ads to be strategically placed on various platforms, including the hotel’s websites. Marriott Media Network’s rollout will start on mobile platforms similar to traditional RMNs. Over time, it will extend to include ad placements on TV screens in guest rooms, Wi-Fi portals, and various digital screens in other areas, like lobbies and bars. This innovative approach in the hotel industry offers marketers diverse opportunities to reach their target audience. Nordstrom Nordstrom Media Network has shown considerable success, generating over $40 million in revenue and collaborating with several brand partners. Introduced in 2019, this network initially experimented with off-site campaigns and later expanded to on-site sponsored ads in 2021. Nordstrom Media Network offers data from 32 million customers and digital properties with nearly two billion annual visits. The network’s focus on personalizing the customer experience helps it stand out in the competitive retail media space and makes it a valuable player in the evolving digital advertising landscape. CVS With CVS Media Exchange, advertisers have access to a data set of 74+ million customers. This platform creates tailored campaigns for companies, helping their ads reach customers at the most critical points in their shopping journey. With options like display, video, audio, social, and in-store ad options, advertisers are seeing increases in product purchases and brand awareness. Instacart Instacart has a retail media network through its own platform and a tool called Carrot Ads, which helps grocery store chains develop RMNs through Instacart. It has a network of over 1,400 retail brands, helping advertisers reach their target audience. Advertisers have access to insights and automation to create relevant ads and track their progress. Companies like Sprouts are using Carrot Ads to create and grow their own RMNs. Together, Instacart and Sprouts offer brands a unique opportunity by facilitating targeted online campaigns on Sprouts’ website. This collaboration provides access to metrics like sales and ROAS, offering a comprehensive view of campaign performance. DoorDash DoorDash offers a comprehensive suite of advertising tools for restaurants and brands to expand their reach on the DoorDash marketplace. This flexible advertising platform extends across diverse categories, like restaurants, grocery, convenience, alcohol, and more. The platform has demonstrated success with an average return on ad spend of 4.1x from sponsored product campaigns and an average of 70% new-to-brand customers. Reasons behind these trends The surge in advertising trends within RMNs can be attributed to several critical factors, including the following: Rising retail media competition The competitive landscape within the retail world has intensified, with major players competing for a larger share of the advertising pie within their respective RMNs. This surge in competition among retailers like Lowe’s One Roof, Sprouts, 84.51, and Albertson’s Media Collective has led to a continual evolution of features and capabilities. Advertisers benefit from this competitive spirit because it drives innovation and offers enhanced tools and opportunities to refine their advertising strategies. The competitive edge creates an environment where RMNs continually improve and adapt to meet the needs of both advertisers and consumers. Third-party cookie deprecation Major web browsers are getting rid of third-party cookies, so advertisers must reevaluate their targeting and tracking strategies. Because of this, the first-party stronghold of RMNs is particularly valuable. Advertisers can rely on their reservoir of first-party data with RMNs to maintain effective audience targeting and measurement capabilities. The emphasis on first-party data aligns with advertisers' needs in the post-cookie era, making RMNs crucial partners in the pursuit of effective and privacy-conscious advertising solutions. Crafting your RMN ad strategy Crafting an effective RMN ad strategy is a multifaceted process that involves careful planning. You start with clean, scaled, and scoped data, then everything waterfalls from there. When done correctly, you reach the right audience, your ROAS/ROI results improve, your marketing spend is more effective, and your advertisers want to spend more with your RMN. Here are steps to consider when developing your RMN ad strategy. Choose the best RMN partner for your needs Selecting the right partner is a critical first step. Ensure your partner seamlessly integrates with your existing MarTech stack, avoiding any additional workload for your existing team. A symbiotic relationship with your RMN partner enhances collaboration and streamlines your advertising initiatives. Experian’s comprehensive data and identity solutions can help RMNs maximize their opportunity, with our new solution tailored to enhance RMNs’ strength in first-party shopper data. Experian’s solution helps RMNs unlock expanded customer insights, enriched audiences for activation, identity resolution for cross-channel audience targeting, and real-time measurement and attribution. This comprehensive solution is designed to help RMNs capture more advertising revenue. Our goal is to ensure you capture the most advertising dollars and make your RMN operate at its peak performance. Learn more here Utilize third-party data One of the cornerstones of an effective RMN strategy is the integration of third-party data. This is where Experian steps in as a critical ally. Experian's robust third-party data solutions can enhance an RMN’s first-party data to create more scale and scope for RMN audiences. This, in turn, will open up more opportunities for advertiser investment. Utilize first-party data The main advantage of RMNs is the access to first-party data. Advertisers can use this data to create personalized and targeted campaigns. By tailoring your messages based on consumer expectations, preferences, behaviors, and purchase history, you create a more engaging and relevant ad experience. This not only boosts the effectiveness of your campaigns but also fosters a deeper connection between your brand and the audience. Promote relevant products Personalized ads are crucial for capturing audience attention and driving conversions. With retail media platforms, advertisers can personalize their campaigns to individual shoppers. Promoting products that align with your audience's specific needs and preferences increases the likelihood of conversions. Consider the consumer journey Strategic ad placement within the consumer journey is pivotal. Consider targeting consumers late in the decision-making process when they're in a shopping mindset. Placing ads at this point in the customer journey increases the chance of converting prospects into customers. Understanding the customer journey within an RMN system allows for a more targeted and impactful advertising strategy. Measure data and adapt The final step in the process is continuous measurement and adaptation. Retail media platforms include powerful analytics tools that let advertisers track and analyze ad performance in real time. Use these insights to adapt your strategy. A data-driven approach ensures your campaign remains responsive to the changing marketing dynamics. Elevate your advertising strategy with Experian Transform your advertising strategy with Experian's cutting-edge Consumer View solutions. These advanced tools excel in audience segmentation and easily integrate your first-party data with our comprehensive third-party insights. This ensures the seamless activation of your data across online and offline channels. Experian also has custom audiences and audiences that are available on-the-shelf of most major platforms. This and our onboarding capabilities make Experian the perfect partner for your RMN strategy. Connect with a member of our team today to take the next step in elevating your advertising campaigns. Connect with us Latest posts
As we approach the 2024 election season, the advertising landscape is poised for tremendous growth, with political ad spending projected to surpass $10 billion. With Kamala Harris entering the race, spending priorities have moved, especially in key states like Ohio, where the Senate race alone has already seen $300 million in ad spending. Connected TV’s (CTV’s) share of political ad spending is set to jump from 2.7% in 2020 to 12.8% this year. The Harris campaign is leading the charge, allocating $200 million for digital ads, much of which will go to streaming platforms. During this political campaign marketing season, effective audience targeting is crucial, as it holds the potential to sway voters, shape public opinion, and ultimately determine election outcomes. In this blog post, we'll highlight political audiences that can assist political campaigns and organizations in connecting with their desired audiences in a meaningful and impactful way. Three political campaign marketing audience categories Over 240 politically relevant audiences are available on-the-shelf of leading TV, demand, and supply platforms to help your political partners gain share based on three political audience categories: Political affiliations Political personas Relevant ballot initiative audiences Let's break down each category and which audiences you can use in your political campaign marketing to target voters this upcoming election season. Political affiliations Target audiences could include those who are likely to be in the Democratic, Independent, or Republican parties, or are likely to not be registered to a political party. Our political affiliation audiences use a foundation of voter registration data with Experian's advanced statistical models to reach voters at scale, based on their political party. Here are four audience segments that you can activate to target voters based on their predicted party affiliation: Political Affiliation > Democrat Political Affiliation > Republican Political Affiliation > Independent/Other Political Affiliation > Unregistered Political personas One key target audience could be voters who are likely to be influenced by a political candidate's renewable energy program. Additional target audiences could include those who are likely to be influenced by a candidate's position on the economy or healthcare. Here are 10 audience segments that you can activate to target voters based on their viewpoints on key political issues: Political Personas > Political Unregistered Liberal Leaning Political Personas > Political Unregistered Conservative Leaning Political Personas > Committed Democrats Political Personas > Moderate Democrats Political Personas > Political Leaning Liberals Political Personas > Liberal Leaning Independents Political Personas > Conservative Leaning Independent Political Personas > Political Leaning Conservatives Political Personas > Moderate Republicans Political Personas > Committed Republicans To reach voters who believe the environment is a key political issue, you can layer in our GreenAware audiences with our Political Personas audiences: GreenAware > Behavioral Greens GreenAware > Think Greens GreenAware > Potential Greens GreenAware > True Browns Psychographic/Attitudes > Shopping Behavior > Smart Greens To reach voters based on their regional voting patterns, you can use our new battleground counties and district audiences: Affiliation Switcher Counties Battleground Counties House Battleground Districts Democrat Counties Republican Counties Independent Counties Relevant ballot initiative audiences You can also reach voters based on their attitudes and behaviors related to key ballot measures. Let's walk through a few examples below and highlight relevant syndicated audiences that you can activate during the 2024 political campaign marketing season. Local and national ballot initiative support Consumer behaviors are often great predictors of down-ballot initiatives. For example, military families may show favor toward initiatives supporting veterans, households with children present may show more interest in school funding, and those interested in the environment will favor green initiatives. Experian offers an array of consumer behavior and interests audiences to help you fine-tune your targeting and messaging strategies. Lifestyle and Interests (Affinity) > Occupation > Military – Active Demographics > Presence of Children > Ages: 0-18 Charitable causes Understanding where consumers are actively donating to charitable causes paints a clear picture into their political interests. Lifestyle and Interests (Affinity) > Charitable Causes > Contributes to Political Charities Consumer Financial Insights > Discretionary Spend – Donations > $1,000-$1,999 Demographics Demographics play a critical role into voter opinions with presence of children, age, and household income influencing decisions at the polls. Geo-Indexed > Demographics > Household Income: $50,000-$74,999 Geo-Indexed > Demographics > Education: Bachelor Degree Demographics > Presence of Children > Ages: 10-12 Demographics > Marital status > Single Demographics > Ages > 19-24 Lifestyle and Interests (Affinity) > Moms, Parents, Families > Mothers with infant child(ren) (0-3 yrs old) Millions of campaign dollars were wasted in the 2022 midterm elections when voters were targeted with ads for issues and candidates they couldn’t vote for. Using advances in geo-targeting can help save wasted spend and ensure relevant messages reach the right voters. Finance Income and large financial decisions often trigger changes in perspective and influence voter behaviors. Financial FLA Friendly1 > Income > $1,000-$24,999 Financial FLA Friendly > In Market New Mortgage Financial FLA Friendly > In Market Auto Loan Media consumption and engagement Media consumption and engagement offers great insights into how voter interest, current channel engagement, and engagement in political issues. TrueTouch: Communication Preferences > Engagement Channel Preference > Email Engagement TrueTouch: Communication Preferences > Engagement Channel Preference > Streaming TV Social Media > Snapchat Purchase Transactions > Ad Responders > Digital Television (TV) > Ad Avoiders/Ad Acceptors > Ad Acceptors Mosaic Proprietary persona-based audience solution that combines demographic and behavioral data to create a holistic view of voters and their interests. Mosaic – Personas – Lifestyle and Interests > Group O: Singles and Starters > O55 – Family Troopers Occupation Provides the opportunity to deliver targeted messaging on measures based on a consumer’s occupation. Demographics > Occupation > Management/Business and Financial Operations Demographics > Occupation > Sales Demographics > Occupation > Farming/Fish/Forestry Consumer Behaviors > At-Home: Retired/Empty Nesters Consumer Behaviors > Occupation: Education Personal views Understand consumers personal views around family, their social and work life. Psychographic/Attitudes > Personal Views > Work Centered Psychographic/Attitudes > Personal Views > Family Centered Psychographic/Attitudes > Personal Views > Social Isolation We can help you match your message to your audience With Experian's political audiences, you can confidently execute your political campaign marketing, knowing our audiences are based on voter registration data and advanced predictive technology. Our highly accurate models are validated by our expert audience team to ensure precise targeting and drive impact and influence with the right audience. We understand that finding a trusted data provider can be a challenge, which is why we make it easy to access our syndicated audiences. For a full list of all of Experian's syndicated audiences, download our syndicated audiences guide. Download our syndicated audiences guide You can activate our political audiences on-the-shelf of most major platforms. Can't find the audience you're looking for or need a custom audience? Connect with our audience team for more information. Connect with our audience team Footnote “Fair Lending Friendly” indicates data fields that Experian has made available without use of certain demographic attributes that may increase the likelihood of discriminatory practices prohibited by the Fair Housing Act (“FHA”) and Equal Credit Opportunity Act (“ECOA”). These excluded attributes include, but may not be limited to, race, color, religion, national origin, sex, marital status, age, disability, handicap, family status, ancestry, sexual orientation, unfavorable military discharge, and gender. Experian’s provision of Fair Lending Friendly indicators does not constitute legal advice or otherwise assures your compliance with the FHA, ECOA, or any other applicable laws. Clients should seek legal advice with respect to your use of data in connection with lending decisions or application and compliance with applicable laws. Latest posts