In this article…
Political advertising has advanced significantly in recent decades. Historically, campaigns had limited options for where they could advertise, and those channels had limited inventory. Political campaigns primarily relied on radio, print, and linear TV to reach voters, using mass marketing strategies to appeal broadly to unspecified audiences. These mediums had limited targeting capabilities and provided few data insights. However, this has all changed thanks to the rise of technology and changing media consumption habits.
With the advent of the internet and the emergence of various digital channels, political campaigns now have more inventory and options for getting their message out there, including connected TV (CTV) — a subset of advanced TV that has become a predominant channel for digital ad spend. CTV is the fastest-growing medium for political ads, with the upcoming 2024 election expected to see $1.5 billion in CTV marketing ad spend (nearly half of all political digital advertising dollars!). 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.
CTV advertising promises to be an effective method for political campaigns trying to reach voters with personalized content in 2024. Let’s look at CTV political ads a little closer and overview the implications for your political campaign.
The growth of CTV in political advertising
CTV has become central to political ad strategies in helping campaigns gain exposure through targeted, personalized ad experiences to specific audience segments based on demographics, behaviors, and interests. With CTV advertising, political campaigns have become more adaptable to changing viewer preferences and can ensure their messages resonate with diverse audiences across digital platforms. This strategy represents a critical opportunity for political campaigns to tap into the growing viewership of streaming and adjust their marketing plans to meet voters where they spend their time.
Although traditional broadcast TV remains at the forefront of political advertising, recent increases in CTV political ad spending in 2024 reflect shifting media consumption preferences toward streaming services. Today, the average American adult spends almost 2 hours per day on CTV devices. It’s worth noting that CTV has the most significant audience share with Millennials, which makes CTV an especially worthy investment for targeting the younger generations whose voting habits aren’t as established yet.
2024 political ad spending
Compared to the previous U.S. presidential election year in 2020, campaigns and interest groups are expected to increase their political ad spending promoting causes and candidates by almost a third in 2024, totaling approximately $12.32 billion, according to Reuters. This is said to encompass all advertising for federal, state, and local politics, including lobbying and election activities.
While traditional media still dominates political ad spending, digital platforms are growing, with 45% of digital ad spending projected to be allocated to CTV for its refined targeting capabilities and increased inventory in this election cycle. For reference, only 19% of digital political ad spend went to CTV in 2020.
While the presidential election tends to garner the most attention among voters, it’s essential to note that political ad spending goes well beyond the big race; over 500 seats are up for election in 2024. Down-ballot races and issues in state and local elections will significantly impact where ad dollars are allocated.
Experian’s relevant ballot initiative audiences
If you’re looking to reach voters based on their attitudes and behaviors around crucial ballot measures, Experian offers over 240 politically relevant audiences that can help. Our consumer behavior and interest audiences can fine-tune your targeting for local and national ballot initiatives if, for example, you were targeting military families who favor initiatives supporting veterans or households with children interested in supporting school funding. This precise targeting ensures your political ads reach the most receptive audiences and maximizes the impact of your ad spend.
Third-party cookie deprecation and CTV
The phase-out of third-party cookies has created a challenge for political campaigns relying on digital advertising strategies. In the past, political advertisers have used cookies to track a user’s web activity to understand their browsing behaviors across sites and create detailed profiles for targeting purposes. However, due to recent changes in online privacy regulations, third-party cookies are going away.
Political advertisers have recognized the need for innovation and are exploring new avenues for effectively reaching target audiences without third-party cookies. CTV has arisen as a promising solution, as it doesn’t rely on these cookies to paint a picture of audiences and offers an alternative for precise, privacy-compliant targeting and ad spend optimization. CTV publishers tend to know quite a bit about audiences, including their viewing habits, location, preferred CTV devices, and more — and utilizing this information can give your campaign deeper, more accurate data without invading user privacy.
Benefits of CTV over traditional TV advertising for political campaigns
CTV political ads are a great way to familiarize a candidate’s core audiences with their message and engage them with the campaign. Here are some specific ways a political campaign can benefit from CTV in its advertising strategies.
Broadened access to data
Traditional broadcast and cable TV are a means of one-way communication. This means viewers consume broadcasted content without direct interaction or a feedback loop for tracking engagement and behavior data.
CTV solves the limitations of traditional TV by offering access to more data than linear TV using technology and internet connectivity to gather real-time insights. CTV data on audience interactions, preferences, demographics, behaviors, location, income, and more enable precise targeting and tailored messaging for more impactful campaigns. Furthermore, digital infrastructure enables CTV devices to track clicks, ad impressions, and conversions, which marketers can use to understand interests, viewing habits, and audience demographics more effectively. To sum it up, CTV broadens the scope of data available for political campaigns to refine their targeting.
Targeted, personalized ad experiences
With traditional TV advertising, marketers have historically had to rely on mass marketing strategies, broadcasting ads to a general audience and hoping to reach the right demographic segments. This imprecise approach limits a marketer’s control over who sees their ads and wastes time and money.
In contrast, CTV platforms can collect abundant data on viewer behavior, preferences, and demographics, helping advertisers precisely target audiences and reach groups most likely to benefit from the ads. With CTV, advertisers can segment audiences based on gender, age, interests, location, and past viewing behavior. This level of granularity enables them to customize their messages to resonate with specific people and increase the relevance and effectiveness of their political ad campaigns. By delivering ads to the right groups of people at the right time, CTV helps advertisers maximize campaign impact and drive better results.
It’s worth noting that streaming viewership is beginning to change. Although younger generations have engaged the most with CTV, there is research to show that older generations are starting to help fuel its continued growth. Gen X and Baby Boomers have begun to embrace streaming and seek out ad-supported services to ad-free alternatives. These gradual shifts in behavior highlight the importance of understanding streaming generations to reach target audiences effectively.
Real-time ad campaign optimization
While traditional TV relies on fixed ad placements, CTV offers programmatic buying, which refers to buying and selling ad placements on CTV through automated technology. Programmatic CTV advertising is highly data-driven, which gives advertisers flexibility in their messaging strategies, helps them refine their targeting, and deliver relevant ads to the right people at the right time. With real-time analytics, campaigns can monitor ad performance, adapt to changing circumstances, and make data-driven decisions to maximize advertising impact and budget efficiency leading up to the election.
Challenges and considerations for advertisers
Despite how widely beneficial CTV advertising can be for political campaigns, marketers also need to be aware of its limitations.
Navigating ad fraud
Ad fraud is a major problem for unsuspecting advertisers. CTV ad fraud involves fake CTV devices or bots mimicking viewership and cheating marketers into paying for unviewed or non-existent ad placements. According to DoubleVerify’s Global Insights, CTV bot fraud increased nearly 70% in 2022 compared to the previous year, with CTV fraud instances tripling since 2020. In 2023, digital ad fraud cost the marketing industry $84 billion. These ad fraud schemes are rising due to the high CPM of CTV ads, leading to a bigger payout for fraudsters who steal ad dollars.
One of the primary challenges is the need for better technological safeguards to detect and mitigate illegitimate traffic, such as bot activity. Political advertisers often rely on third-party ad fraud and verification technologies to avoid falling victim, but these solutions cannot guarantee complete protection. This usually leaves advertisers unaware of fraudulent activities until they’ve already incurred financial losses.
As political campaigns increasingly embrace CTV political ads, they become bigger targets for fraud and must make protection and measurement central to validating their campaign efficacy in conjunction with robust fraud detection measures. These efforts can help protect the integrity of political ad campaigns, mitigate fraud, and ensure messaging reaches genuine voters.
Ensuring ad effectiveness
Measurement and attribution of CTV political ads can be challenging. CTV offers better insights into audience preferences and behavior than linear TV, but despite the existing measurement tools, CTV is fragmented, involves many platforms, and lacks standardized metrics and attribution models tailored to political campaign goals. These problems make it hard to compare campaign performance, track CTV users across their viewing experience, and ensure ads appear in the right environments.
To fully understand your ad effectiveness, you should ensure accurate tracking mechanisms of audience behaviors with individual ads to assess the impact of CTV campaigns on voter engagement and turnout. This will help you better understand how to achieve campaign objectives, where to focus your efforts, and how to appeal to viewers in future campaigns.
It may also be helpful to understand some of the metrics advertisers currently employ for CTV measurement, including completion rate and return on ad spend (ROAS). Because CTV ads often can’t be skipped, this advertising strategy has a high completion rate, sometimes nearing 90%. ROAS is more focused on what you get in return for your ads, allowing you to track profits per dollar spent on ads. Political marketers can also use metrics like campaign impressions, total reach, view-through rate, and cost per completed view to understand how their ads are performing.
Ethical considerations related to transparency and misinformation
Political advertisers are responsible for upholding transparency and accuracy in their messaging to build trust with voters. Given how polarized the current political climate is, misinformation could make or break a political campaign. Whether intentional or unintentional, spreading misinformation through CTV can undermine the democratic process and erode public confidence in political institutions. Political marketers must do their best to prioritize ethical conduct, adhere to regulatory guidelines, and ensure their ads convey truthful information to voters.
Looking ahead: CTV in the 2024 elections
The current election cycle promises record-breaking political ad spending in 2024 and will underscore CTV’s role in shaping the future of political communication and engagement. With shifting viewer preferences and the ongoing evolution of digital media consumption habits, political campaigns need to look at CTV as a critical platform for voter engagement so they can allocate resources and shift their strategy to harness its full potential.
Using the targeted capabilities and expansive reach CTV advertising offers, political entities can optimize ad creative for the streaming environment, implement data-driven targeting strategies, and effectively connect with voters across diverse demographics and geographic regions.
Reach your ideal voters with Experian’s political audiences
Effective audience targeting is essential for political campaigns wanting to sway voters and shape public opinion in the next election. Don’t miss the opportunity to reach your ideal voters and make a lasting impact in the 2024 elections! With Experian’s political audiences, you can target voters based on their political affiliations, personas, and attitudes toward relevant ballot initiatives in your advanced TV advertising.
Experian offers a comprehensive range of political and geo-indexed audiences designed to help political campaigns and organizations connect with desired segments in a meaningful and impactful way. Our geo-indexed audiences can help you discover, segment, and craft messaging without the use of sensitive personal information, so you can confidently reach your target audience without sacrificing data privacy.
Our syndicated audiences also span multiple verticals and categories. With over 240 politically relevant audience segments available for activation, you can confidently execute your political campaign marketing strategy with precision and impact. When you connect with our audience team, we can also help you build and activate an Experian audience on the platform of your choice.
Partner with us to reach your ideal voters and make a lasting impact in the 2024 elections.
Latest posts
Published in MediaPost With the explosion of smartphones and digital tablets and the steady rise of Internet-connected televisions, gaming consoles, and more, consumers are increasingly watching online video when and where they want. New research from Experian Marketing Services on cross-device video found that as of October 2013, 48% of all U.S. adults and 67% of those under the age of 35 watched online video during a typical week, up from 45% and 64%, respectively, just six months earlier. At the same time, the share of households considered “cord-cutters” — those with high speed Internet but no cable or satellite TV — is on the rise, and that has a real impact on marketers and on the medium of television, the recipient of the largest share of advertising dollars. While the growing trend in cord-cutting is understandably disturbing to cable and satellite companies and disruptive to the television advertising revenue model overall, the growth in online viewing creates opportunities for marketers. Online video viewers can be more easily targeted and served up advertising that is more relevant, responsive and measureable. Marketers can also be more confident that their online ad was actually seen given that viewers are typically unable to skip ads. And while CPMs for online video ads may generally be lower than those of TV, marketers can use that savings to negotiate costs based on clicks or transactions rather than impressions, giving them a better picture into audience interest and insights to inform their budget allocation. Expect “Cutting the cord” to continue Today, over 7.6 million U.S. homes or 6.5% of households are cord-cutters, up from 5.1 million in 2010 or 4.5% of households. One thing enabling consumers to cut the cord is the rise in Internet-connected TVs, which allows viewing of Internet video on demand without sacrificing screen size. In fact, a third of adults (34%) now have at least one TV in the home that is connected to the Internet either directly or through a separate device like an Apple TV or Roku, up from 25% in 2012. With the launch of devices like Google’s Chromecast and the Amazon Fire TV, those numbers are sure to rise even more in the months and years ahead. Cord-cutters like the bigger screen Our analysis found that the act of watching streaming or downloaded video on any device is connected to higher rates of cord-cutting but the act of watching on a television is the most highly correlated. In fact, adults who watch online video on a television are 3.2 times more likely than average to be cord-cutters. Those who watch video on their phone (the device identified in the analysis as that most commonly used for watching online video) are just 50% more likely to be cord-cutters. Millennials are more likely to be cord-cutters We found that households with an adult under the age of 35 are almost twice as likely to be cord-cutters. Throw a Netflix or Hulu account into the mix and the rate of cord-cutting among young adult households jumps to nearly one-in-four. Given these surprising stats, many Millennials may be cord-cutters without ever having “cut” a cord. And that’s an important trend to watch since it means a significant portion of this generation will never pay for TV. Millennials are also the most device-agnostic, with over a third saying they don’t mind watching video on a portable device even if it means a smaller screen. That’s more than double the rate of those ages 35 and older. This decentralized viewing can create headaches for marketers who need to start a relationship with Millennials during this stage of their lives when they’re most open to trying out new brands and have yet to settle down. On the plus side, marketers who do manage to reach this audience will find them much more open to advertising than average. In fact, Millennials are more than four times more likely to say that video ads that they view on their cell phone are useful. So while the challenge is big, so is the potential reward.
Published in AdExchanger. “Data-Driven Thinking" is written by members of the media community and contains fresh ideas on the digital revolution in media. Today’s column is written by Tom Manvydas, vice president of advertising strategy and solutions at Experian Marketing Services. The proliferation of connected electronics has spurred new interest in device-recognition technologies even though they have been in use since the 1990s. As we enter the “Internet of Things” era, device recognition will significantly impact the ad tech ecosystem. Many network advertising technologies are becoming obsolete as cookie blocking grows and the Internet becomes more mobile and device-centric. Device recognition will be yet another technology challenge for marketers but has the potential to overcome many key tracking, measurement and privacy issues with which data-driven marketers have struggled. By leveraging device recognition technologies, marketers can protect their investments in Web 2.0 ad tech, like multitouch attribution, and improve their overall digital marketing programs. Device Recognition Vs. Cookies Device recognition attempts to assign uniqueness to connected devices. By focusing on the device, you are able to “bridge” between browsers and apps, desktop to mobile and across OS platforms like iOS and Android. Device-recognition IDs function like desktop cookies for devices but with four important differences: 1. Coverage: Device-recognition methods are largely immune from cookie limitations. About half of mobile engagements on the Web do not involve cookies, while third-party blocking impacts up to 40% of desktop engagements. 2. Persistency: Device-recognition IDs can be more persistent and less fragmented than most desktop cookies. For example, Apple’s UDID or Android ID are permanent, and network node IDs like MAC addresses are near-permanent. Proxy IDs such as IDFA are persistent but can be updated by the device owner or ID provider. 3. Uniqueness: Devices are unique and cookies are fragmented. The digital media industry incurs substantial overhead cost and loss of efficiency when dealing with fragmented profiles and obsolete data caused by cookie churn. However, device-recognition methods are limited in their ability to recognize multiple profiles on shared devices. 4. Universality: Device-recognition technologies are universal and generally work across devices and networks. However, interoperability issues across device operating systems, such as iOS and Android, can limit the universal concept. There are many types of device-recognition technologies but two basic approaches to device recognition: deterministic and probabilistic, each with their pros and cons. Deterministic Approach: Accurate And Persistent But Complicated Deterministic device recognition primarily uses the collection of various IDs. While the mobile developer is familiar with the variety of IDs, it’s important that marketers become better-versed in this area. Examples include hardware IDs (including serial numbers), software-based device IDs (such as Apple’s UDID or the Android ID), digital data packet postal codes or proxy IDs (such as MAC addresses for WiFi or Bluetooth, IDFA for both iOS and Android and open-source IDs). Deterministic methods improve the accuracy of tracking, targeting and measurement over current cookie-based methods. They can improve the ability to more persistently manage consumer opt-outs. But the proliferation of device types limits the universality of deterministic device recognition. Without uniform standards across platforms, marketers need to account for multiple ID types. Also, deterministic device-recognition methods are not well developed for desktop marketing applications. The lack of interoperability across deterministic device IDs makes execution too complicated. Deterministic device IDs were meant for well-intentioned uses, such as tracking the carrier billing for a device. However, they present privacy and data rights challenges, leading to blocking or limited access by companies that control IDs. Probabilistic Device Recognition: A ‘Goldilocks’ Solution Probabilistic device recognition may be the ideal solution for a connected world that does not rely on cookies nor wants to use overly intrusive deterministic device recognition. Probabilistic device recognition is not a replacement for deterministic IDs. Instead, it complements their function and provides coverage when they are not available. The probabilistic approach is based on a statistical probability of uniqueness for any single device profile. This approach creates a unique profile based on a large number of common parameters, such as screen resolution, device type and operating system. This process can uniquely identify a device profile with 60% to 90% accuracy, compared to 20% to 85% accuracy for cookie-based identification methods. Probabilistic IDs are more persistent than cookies with better coverage, but less persistent than deterministic device IDs. The natural evolution of the device takes place over time and prevents persistent identification. Probabilistic device recognition can be universal and is not impacted by interoperability issues across platforms — the technology used to generate a probabilistic ID on one network can be the same technology on another network. Unlike some deterministic device recognition approaches, there is no device fingerprinting. Probabilistic device recognition accurately identifies profiles in aggregate, rather than a single device. That’s the inherent beauty of probabilistic device recognition: It can generate more accurate targeting results than cookie-based methods without explicitly identifying single devices. This is more than good enough for most marketers and significantly better than what’s available today. Another benefit is the absence of any residue on the device — no cookie files, flash files or hidden markers. Probabilistic methods can work on devices that block third-party cookies or connect to the Web without using any cookies. For example, you might have a hard-to-reach but valuable audience segment. Probabilistic device recognition could effectively increase your reach on this segment by 40% to 50% and increase the overall targeting accuracy by two times. Let’s say the actual population for this segment is 100,000 members. The typical cookie-based approach might reach 28,000 members but the typical probabilistic device-recognition approach could reach 65,000 members. A Decline In Hardware Entropy If you take a close look at the emitted data from today’s devices, it is not easy to analyze it for device identification. That’s because the data footprint of one device looks a lot like another. Device recognition augmentation methods can address this, such as device usage profiles, geo location clustering, cross-device/screen analytics or ID linkage for first-party data owners. In the short term, device-recognition technologies, particularly probabilistic methods, can greatly improve today’s digital marketing programs. Marketers should become fluent in their use cases and benefits. If 2013 was the year of mobile, I think we’ll see a surge in marketing applications based on device-recognition technologies in 2014. Follow Experian Marketing Services (@ExperianMkt) and AdExchanger (@adexchanger) on Twitter.
According to Experian Marketing Services’ 2014 Digital Marketer: Benchmark and Trend Report, social media Websites are playing an increasingly important role in driving traffic to other Websites, including retail sites and even other social networking sites, at the expense of search engines and portal pages. For instance, as of March 2014, social media sites account for 7.72 percent of all traffic to retail Websites, up from 6.59 percent in March 2013. Further, Pinterest, more than Facebook or YouTube, is supplying the greatest percentage of downstream traffic to retail sites. According to the Digital Marketer Report, more retailers are directing their customers to social media within their email campaigns. In fact, 96 percent of marketers now promote social media in their emails, and it shows. In 2013, for instance, email Websites generated 18 percent more clicks to social networking pages than the year prior. Social drives more traffic to other social Websites Social media Websites are driving more and more traffic to other social sites. In 2013, 15.1 percent of clicks to social networking and forum sites came from other social networking sites, up from a 12.5 percent click share reported in 2012. Despite driving the greatest share of traffic to social networking sites with 39.1 percent of clicks, search engines’ share of upstream traffic to social declined a relative 13 percent year-over-year. Among the other top referring industries to social, only the portal front pages industry — which includes sites like Yahoo!, MSN and AOL and is closely affiliated with search engines — showed a drop in upstream click share providing further evidence that increasingly all (or most) roads lead to social. To learn more about key trends in social media traffic, including downstream traffic from social sites and the share of consumers accessing social media across multiple channels, download the free 2014 Digital Marketer: Benchmark and Trend Report.