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In the early days, streaming services were presented to viewers as convenient alternatives to cable that allowed you to get content whenever you wanted it — without ads. But as standalone streaming platforms have grown in number and prominence, often charging high monthly costs for subscription-based content and continually hiking their rates, many are warming back up to the idea of ads if it means lower monthly fees. Cue free ad-supported TV (FAST) streaming services: free video content with no paid subscription requirement.
These services generate revenue through advertising and deliver content with periodic commercial breaks to support their free model. This option has become popular as viewers have sought out cost-effective alternatives to traditional scheduled television. Free streaming TV platforms such as the Roku Channel, Tubi, and Pluto TV are growing, with one in three U.S. viewers subscribing to free ad-supported TV streaming services. If premium streaming platforms keep raising their monthly costs, we can predict that FAST will continue to grow.
In this article, we’ll talk about the current state of the ad-supported TV climate, including the opportunities and challenges it poses for marketers.
A history of ad-supported TV
Historical context is crucial to understanding the current climate of ad-supported TV and its implications for your marketing.
Before the rise of cable TV, television was free for viewers, with advertisers covering the costs. The first TV commercial, a 10-second spot for the Bulova Watch Company, aired in 1941 during a baseball game and cost the company $9. This ad kickstarted the era in which advertisements funded the TV model, which quickly surpassed radio in popularity and led to an explosion of content. From 1956 to 1988, commercials became embedded in culture, giving rise to marketing icons like Ronald McDonald and memorable campaigns like Nike’s “Just Do It.”
From 1989 to 2006, the world saw the rise of online entertainment and advertising with the invention of the World Wide Web —and subsequently, online video broadcasting and advertising emerged. But between 2007 and 2014, over-the-top (OTT) broadcasting and connected television (CTV) innovation disrupted traditional broadcasting, with ad-supported streaming gaining greater prominence. Platforms like Netflix and Hulu allowed viewers new freedom from the confines of scheduled programming.
By 2022, CTV advertising thrived thanks to programmatic advertising, which allowed businesses to reach targeted audiences with relevant campaigns. Ad-supported streaming became widespread as platforms like Netflix and Disney+ incorporated advertising into their models. Free ad-supported TV (FAST) emerged as a form of advanced television that displaced traditional cable and satellite TV. Recent years have witnessed a notable shift back to ad-supported streaming television due to the proliferation of streaming services, subscription fatigue, and the desire for cost-effective content consumption.
Looking ahead to the future, TV advertising is expected to continue growing with the potential to be influenced by innovations like virtual reality and artificial intelligence.
Why did the popularity fade?
Ad-supported TV waned in popularity due to the introduction of cable TV and subscription-based models. Cable TV offered ad-free content for a subscription fee, which reduced the appeal of traditional ad-supported broadcasts. Uninterrupted content became a critical selling point for cable providers, but it created fragmentation for advertisers and made it more challenging for them to reach their target audience. With cable and, later, satellite TV dominating the market, advertisers had to adapt their strategies.
The decline in the popularity of ad-supported TV led to a decreased reliance on traditional advertising methods, and marketers began exploring alternative avenues to connect with consumers effectively. The recent resurgence of ad-supported TV, particularly in streaming services, indicates a shift in viewer preferences. You can utilize targeted advertising cost-effectively, as viewers prefer free, ad-supported content over subscription-based models.
The resurgence of ad-supported TV models
The resurgence of ad-supported TV models can be partly attributed to the COVID-19 pandemic and changing viewer preferences. In 2020, stay-at-home measures led to a surge in media consumption, and people turned to streaming for entertainment. This shift provided a unique opportunity for ad-supported models to regain popularity. But as viewers explored various streaming options, subscription fatigue set in. Paid streaming proliferation increased costs, and people began reconsidering spending on multiple subscriptions.
The pandemic triggered a fundamental shift in TV consumption and caused viewers to favor ad-supported streaming models that offered free content with occasional commercial breaks. In fact, LG Ad Solutions research revealed that 80% of American TV viewers use free ad-supported streaming services —and 63% express a preference for this model. This finding challenges assumptions made during the initial stages of the pandemic, where subscription-based consumption seemed dominant. The study suggests that as subscription fees accumulated, viewers sought more content without increasing costs, driving a preference for ad-supported streaming.
Furthermore, the landscape of ad-supported TV saw notable entries from major streaming platforms:
- HBO launched its ad-supported model in June 2021.
- Netflix and Disney+ introduced their ad-supported tiers in late 2022.
- Amazon announced in September 2023 that they would be launching their ad-supported service in 2024.
These developments emphasize the industry’s recognition of the demand for ad-supported content and further contribute to the prominence and endurance of this model.
Most popular platforms
A report from Samba TV showed that one in three U.S. viewers subscribes to free ad-supported TV streaming services, such as Pluto TV, Tubi, or the Roku Channel. The report highlights Amazon’s Freevee as a standout due to its high viewership growth in the first half of 2023 compared to competitors. Here are some details to note about Freevee and its major competitors:
Freevee (Amazon Prime)
With a focus on bringing diverse content to its audience, including thousands of premium TV shows and movies, Freevee has positioned itself as a go-to destination for those looking for quality programming without subscription fees. In early 2022, Freevee had 65 million monthly active users, and their ad prices, similar to competitor costs, range between $13 and $24 per day —around $400 and $720 per month, respectively.
Pluto TV (Paramount)
As a pioneer in the FAST streaming space, Pluto TV, now under Paramount, boasts a diverse range of 250+ channels. According to Statista data from November 2022, 8% of Americans watched TV on Pluto on a daily basis, with men watching more often than women. You can strategically engage with Pluto TV’s varied audience for around $999 a month, with advertising costs influenced by factors like viewership and channel prominence.
Tubi (Fox)
Surpassing many competitors in viewership, Tubi, owned by Fox, offers an extensive collection of free content (200,000 movies and TV episodes) and enjoys 74 million active monthly users. Tubi has experienced the fastest growth among young, diverse audiences and has produced or acquired 200 titles that almost 54 million viewers have watched. You can market to viewers on Tubi for $10 to $45 daily or $300 to $1,350 monthly.
The Roku Channel
With over 350 channels and premium original content, The Roku Channel has become an important player in the FAST space. Approximately 38% of streaming hours in U.S. households are spent on the Roku Channel. With Roku Ads Manager, you can get started with only $500.
New players
The FAST industry is seeing an influx of new players all the time, which is contributing to the industry’s growth and innovation. As traditional subscription-based models adapt to include ad-supported tiers, the competition in the ad streaming sphere has intensified, prompting both established and emerging platforms to explore the FAST model. Statista reports that the number of users in the FAST market is expected to reach 1.1 billion by 2028!
The recent entry of industry giants like Netflix into the ad-supported realm has set the stage for significant shifts. When Netflix announced and launched its ad-supported tier in late 2022, the industry experienced a notable spike in CPMs (cost per mille/cost per thousand impressions). This reflected the initial scarcity of users on this tier.
As more subscribers embraced the ad-supported offering, CPMs decreased. Subscription video-on-demand (SVOD) platforms, including Disney+, are also incorporating ad-supported tiers into their models to cater to viewers’ preferences for cost-effective streaming options. Industry reports illustrate a decrease in CPMs as more users engage with ad-supported tiers, which creates a vibrant, competitive environment for advertisers like you.
Free ad-supported streaming vs paid ad-supported TV
The affordability of free ad-supported streaming services is attractive for viewers seeking cost-effective alternatives to traditional cable or non-ad-supported streaming platforms. Platforms like Pluto TV and Tubi provide viewers with a wealth of content without the financial commitment of a subscription. Free ad-supported streaming services like these have gained traction for their cost-effectiveness.
In contrast, paid ad-supported TV models present a unique proposition — pay for the service and enjoy reduced subscription costs by opting for an ad-supported plan. These models provide users with a middle ground between subscription-based and free ad-supported streaming.
The future popularity of free ad-supported streaming versus paid ad-supported streaming is likely to be influenced by a combination of viewer preferences, content strategies, ad experiences, and broader industry dynamics. As both models evolve, streaming services will continue to experiment and adapt to meet the diverse needs of their audiences.
What FAST popularity means for marketers
The shift towards FAST aligns with changing viewer preferences. This makes things easier for your marketing, as you can:
- Engage a broader audience: Without the barriers of subscription fees, and the ability to place ads in front of diverse demographics, you can customize campaigns for specific audiences and ensure your messages resonate with viewer interests.
- Convey your message to a captive audience: The rise of FAST also implies an increased viewership of commercials, as these services typically feature ad-supported models with limited options for viewers to skip or fast-forward through ads, creating a more captive and engaged audience.
- Expand your brand exposure: The cost-effectiveness of ad-supported models provides a valuable avenue for brand exposure without the hefty price tags associated with traditional TV advertising.
As a marketer, it’s essential for you to understand the dynamics of ad-supported TV platforms so you can recognize unique advertising formats, optimize campaign frequency to prevent ad fatigue, and embrace the potential for localization and personalization. As advertising evolves with the growing popularity of FAST, you have an opportunity to stay ahead of the curve, craft compelling campaigns, and maximize your reach at a time when ad-supported streaming is at the forefront of entertainment.
The future of ad-supported TV
The re-emergence of ad-supported TV, along with recent innovations, indicates that the future of this model is bright.
Teevee Corporation, a hardware startup led by the co-founder of Pluto TV, is an excellent example. It is set to unveil a groundbreaking ad-supported physical television that won’t cost consumers a single cent —as long as they’re okay with a second integrated screen that displays ads while they watch the main screen. This TV is distinct from streaming services and uses automatic content recognition (ACR) for contextually relevant ad delivery. Teevee’s approach introduces a new dimension to viewer engagement that combines traditional broadcasting with targeted advertising.
Major streaming platforms are actively contributing to the evolution of ad-supported TV as well. Amazon made the strategic move to bring Amazon Original titles and additional ad-supported channels to Freevee to demonstrate its commitment to the ad-supported market. The platform introduced 23 new ad-supported TV channels from major entertainment players such as Warner Bros. Discovery and MGM. As a result, Amazon’s Freevee experienced tremendous growth in viewership in the first half of 2023, up 11% year-over-year.
These recent advances illustrate what the future of streaming with ad-supported TV may look like moving forward, where hardware innovation meets strategic content integration, and major platforms compete to enhance their ad-supported offerings.
How Experian can help
Although the FAST industry is rapidly evolving, Experian stands at the forefront with powerful data-driven solutions that empower you to take advantage of this valuable marketing opportunity.
Consumer Sync is a robust identity solution that empowers advertisers by facilitating collaboration and offering insights that contribute to more effective and targeted FAST campaigns. Audience segmentation, attribution, and campaign optimization play vital roles in FAST advertising. Our Consumer View solution provides industry-leading data solutions for audience segmentation, which allows marketers to predict buying behaviors and deliver personalized experiences.
Connect with Experian’s TV experts
As you explore the possibilities of ad-supported TV, Experian offers the expertise and solutions you need to elevate your marketing strategies. Connect with our TV experts today to gain a deeper consumer understanding, refine your targeting, and ensure the success of your campaigns.
Connect with our TV experts today
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Media is changing and the sell-side is stepping boldly into the identity jungle—a dense and complex environment where privacy regulations, evolving signals, and advertiser expectations make every step an adventure. It’s not about survival; it’s about navigation. Experian’s identity solutions offer sell-side players like connected TV (CTV) publishers, supply-side platforms (SSPs), and open web publishers a roadmap to deliver rich consumer insights and build addressable audiences. Here’s how different stakeholders are navigating the landscape—and why having the right sherpa makes all the difference. CTV publishers: Turning anonymous viewers into addressable audiences The surge in CTV viewing, fueled by the shift from linear TV to digital streaming, has made it a critical channel for marketers—but navigating the identity jungle isn’t the same for every platform. For major players like Netflix, Hulu, and Max, where users log in to access content, the challenge isn’t identifying viewers but enriching their profiles. By layering behavioral and purchase data onto these profiles, platforms can go far beyond insights on media habits to create highly attractive audience segments for marketers to target. For free ad-supported streaming TV (FAST) platforms like Tubi, where logins aren’t required to watch content, the jungle is denser. These platforms have unknown viewers they can’t identify, which limits their ability to know who the customer is and reach them with relevant ads. By utilizing identity solutions, FAST platforms can turn unknown users into addressable audiences, resolving viewership at the household or individual level. This transformation allows for personalized, relevant ads that increase engagement, boost inventory value, and unlock new revenue opportunities. How Experian can help Imagine a CTV platform struggling with anonymous viewers on its FAST channels, where users tune in without logging in. Using Experian’s household-level data, the platform can convert these anonymous sessions into known, addressable audiences. This allows for personalized, precisely targeted ads that boost viewer engagement and significantly increase ad inventory value. For platforms with logged-in users, Experian takes it further by enriching profiles with behavioral and purchase data. This deeper understanding enables even more precise ad targeting, stronger advertiser demand, driving higher CPMs, and ultimately greater revenue growth. With Experian, CTV publishers turn anonymity into opportunity and build meaningful connections across their audience. SSPs: Delivering premium audiences across channels SSPs are under pressure to differentiate themselves in a competitive marketplace. The days of simply aggregating inventory are gone; today, SSPs must prove their worth by delivering premium value to advertisers and publishers. Addressability is a cornerstone of this strategy. By combining demographic and behavioral data with offline and digital identifiers, SSPs can build and deliver high-quality audiences across various channels. At the same time, supply path optimization (SPO) is taking center stage. SPO acts as a machete in the underbrush, clearing out unnecessary intermediaries and reducing costs while creating direct, transparent pathways to premium, brand-safe inventory. When paired with identity data, SSPs can offer buyers precisely targeted audiences, more premium inventory and a streamlined supply path. How Experian can help Imagine an SSP striving to stand out in a crowded market by delivering premium value to advertisers and publishers. Experian’s Digital Graph and Marketing Attributes empowers SSPs to enhance addressability and audience insights by combining digital identifiers with demographic and behavioral data. This enriched understanding of an audience leads to greater reach for the buy side and higher revenue for publishers. Additionally, these capabilities enable SSPs to form exclusive inventory partnerships, positioning them as go-to sources for high-value audiences. With Experian’s solutions, SSPs can differentiate themselves by delivering superior targeting, deeper audience understanding, and streamlined supply paths that drive measurable results for advertisers and publishers alike. Open web publishers: Promoting addressability and audience understanding For open web publishers, programmatic advertising has created opportunities—and challenges. Inventory commoditization makes it difficult to stand out and often leads to suppressed CPMs. To compete, publishers need data and identity solutions that enable them to differentiate their inventory and reveal the true value of their audience. Similar to FAST publishers, the jungle for open web publishers often starts with anonymous visitors. Recognizing and identifying all their users allows publishers to present advertisers with rich audience insights that lead to more efficiently targeted ads. Publishers are now equipped to fight commoditization and maximize revenue potential. How Experian can help Imagine an open web publisher striving to deliver more value to advertisers in a crowded programmatic landscape. Experian’s identity solutions help publishers turn anonymous traffic into addressable audiences, enabling them to understand their visitors and provide richer audience insights. This allows advertisers to target ads more effectively, increasing engagement and driving higher ad revenue. With the ability to recognize their visitors and offer actionable data, publishers can break free from commoditization. Experian empowers publishers to maximize their inventory’s value and help marketers drive results. Turning identity challenges into a strategic advantage The identity jungle can feel daunting, but for those willing to explore its opportunities, the rewards are immense. Sell-side players—CTV publishers, SSPs, and open web publishers—have the tools to not just navigate but thrive in this dense and dynamic ecosystem. By embracing data-driven strategies and identity solutions, they can uncover new paths to audience engagement, inventory value, and revenue growth. Get started today Read our companion article to learn how the buy-side is approaching data and identity challenges. Read now Contact us Latest posts
In a perfect world, we’d all have a single, go-to grocery store that carried everything on our shopping list – fresh produce, gourmet coffee beans, rare spices, and maybe even that special-grade olive oil, right alongside our wholesale bulk purchases at unbeatable prices. It would be convenient and efficient, and it’d save a lot of driving around town. The changing data marketplace: From one-stop shop to specialized selection For a long time, data buyers enjoyed something similar in their world: a small set of large-scale data marketplaces that offered a wide array of audiences, making it easy to load up on whatever you needed in one place. Not only are there fewer places to pick everything up, but new factors like privacy and signal deprecation are placing a spotlight on quality and addressability. Just as our dinner plans are growing more ambitious insofar as we want health, flavor, value, and convenience all in one place – so are our data strategies. Instead of a single steak-and-potatoes meal, today’s data marketplace operators might be cooking up a complex menu of campaigns. As a result, data buyers are beginning to shop around. Some still rely on large-scale marketplaces for familiar staples, but now they have reasons to explore other options. Some are turning to providers known for offering top-tier, transparently sourced segments. Others are focusing on specialty providers that excel in one area. A more selective approach to data buying In this environment, choosing where to “shop” for data is becoming more deliberate and selective. Data buyers aren’t just thinking about broad scale; they’re looking to prioritize quality, durability, data privacy, and differentiation. They need to place higher value on data marketplaces that can maintain audience addressability over time, despite signal loss. Sometimes, that means accepting a smaller assortment in exchange for tighter vetting and more reliable targeting. Other times it means mixing and matching – stopping by one marketplace for premium segments and another for cost-friendly, wide-reaching data sets. Either way, they can benefit from having more choices. Experian’s marketplace: A trusted source for high-quality data Experian’s vetted and curated blend of data partners and vertically-aligned audiences offers a trusted specialty store for data buyers. Experian’s marketplace, powered by identity graphs that include 126 million households, 250 million individuals, and 4 billion active digital IDs, enables partner audiences to be easily activated and maintain high addressability across display, mobile, and connected TV (CTV) channels. In particular, Experian’s marketplace provides: Enhanced addressability and match rates All audiences delivered from the marketplace benefit from our best-in-class offline and digital identity graphs, which ensure addressability across all channels like display, mobile, and CTV. Unlike other data marketplaces, Experian ensures all identifiers associated with an audience have been active and are targetable, improving the accuracy of audience planning. Audience diversity and scale Access a broad range of audiences across top verticals from our partner audiences, which can be combined with one another and with 2,400+ Experian Audiences. The ability to join audiences across data providers ensures that buyers can build the perfect audience for the campaign. Trusted compliance and oversight With decades of experience, Experian is a trusted expert in data compliance. Our rigorous data partner review ensures available audiences comply with all federal, state, and local consumer privacy regulations. The future of data marketplaces: Precision and flexibility matter The evolution of data marketplaces reflects the industry's shifting priorities. Data buyers seek specificity, reliability, and adaptability to align with their diverse campaign needs. The best data strategy, much like the best grocery run, isn’t about grabbing everything in one place – it’s about carefully selecting the right ingredients to create the perfect recipe for success. This shift underscores the importance of flexibility and precision as data buyers navigate a landscape shaped by privacy regulations, signal loss, and evolving consumer expectations. As data marketplaces adapt to meet these demands, they are redefining what it means to deliver value. Experian’s marketplace enables buyers to strike the perfect balance between reach and quality by offering enhanced match rates, precise audience planning, and seamless distribution. In this new era, data buyers have the tools and options to craft campaigns that are impactful and aligned with the increasingly selective and privacy-conscious digital landscape. The key is recognizing that today’s data strategy is about utilizing the strengths of many to create a cohesive and effective whole. If you're interested in learning more about Experian's marketplace or becoming an active buyer or seller in our marketplace, please contact us. Contact us Latest posts
Conventional TV advertising campaigns have historically relied on general audience metrics like impressions and ratings to measure outcomes. These metrics can help marketers understand how many people have seen an ad, but they don’t reveal its real-world impact, which leaves a gap between ad exposure and results. Outcome-based TV measurement bridges this gap and helps marketers tie ad spending directly to their business goals. Instead of counting eyeballs alone, TV measurement zeroes in on what viewers do after seeing an ad — whether signing up for a service, visiting your website, or purchasing a product. TV ad measurement helps marketers adjust campaigns based on clear, trackable outcomes rather than guesswork. Let’s talk about how marketers can get started with outcome-based TV measurement and start experiencing tangible results. Why outcome-based TV measurement matters Outcome-based measurement indicates a massive shift in how marketers evaluate TV advertising success. As a principal analyst at Forrester explained, the industry is about to “move into a whole different world" where multiple metrics are tailored to advertisers’ unique goals, such as sales, store traffic, or web engagement. This shift is driven by improved tools for tracking TV outcomes, which help justify spending and clarify ROI. With TV measurement, you can see how your campaigns impact aspects of your marketing like sales and engagement. Aligning TV ad spend with business goals Every business has distinct objectives. Outcome-based measurement ties your marketing efforts to business goals and enables smarter decisions, campaign optimization, and ROI improvements. Whether you're a B2C brand wanting immediate sales or a B2B organization looking to drive website traffic, this method provides the insights needed for strategic decision-making. Marketers can deliver the most value by adjusting TV ad spending to maximize desired results: Sales goals: Identify which ads and platforms directly influence purchases to ensure TV ad spend contributes to revenue growth. Customer engagement: Link actions like website visits or app downloads to TV campaigns and refine messaging to deepen audience connections. Desired outcomes: Align ad spend with goals like consumer awareness or repeat purchases to allocate resources effectively for measurable success. Reducing wasted spend on ineffective channels Outcome-based TV measurement allows you to pinpoint which networks, times, or programs drive the most engagement and conversion. When you know your underperforming channels, you can reallocate budgets to those with a higher ROI and avoid waste. Core metrics in outcome-based TV measurement The effective implementation of outcome-based measurement requires advanced TV advertising analytics and tracking metrics that shed light on TV ad performance. Incremental lift This metric measures the increase in desired actions and business results — like purchases or site visits — that can be attributed directly to a TV campaign. Incremental lift quantifies your campaign’s impact and separates organic activity from the results your ads have driven. Let’s say a meal kit service experiences a 20% lift in subscriptions within a single week of running TV ads compared to a week without ads. They’d want to be able to isolate the impact of their ad from their organic growth so they can determine if the growth is actually a result of the TV ads or another effort. Attribution and conversions Attribution links TV ad exposure to specific customer actions, such as newsletter sign-ups and product purchases. Conversion data helps marketers understand the whole customer journey to optimize messaging, targeting, and channel mix to improve conversion rates. A retailer that knows 50% of TV ad viewers visit its e-commerce site within 36 hours of exposure could use that information to adjust the timing of its retargeting and align with site visit spikes. Audience segmentation for targeted measurement Outcome-based measurement breaks down performance across target demographics and allows for granular audience segmentation so TV ads resonate with the right audiences. For example, if a luxury brand saw better TV ad performance with high-earning Millennials, they’d want to refine their campaign messaging based on this group’s habits and preferences. Customer journey tracking Knowing how viewers move from awareness to conversion is critical. Outcome-based TV measurement helps you track the customer journey by pinpointing touchpoints where engagement happens and tying these to your TV campaigns. If a fitness brand found that TV campaigns drive app downloads, it could combine app analytics and TV exposure data to find out when most of their conversions happen after ad exposure and create follow-up messaging for that window of time. Integrating these insights with other marketing channels allows you to fine-tune your messaging, channel mix, and audience targeting to drive better outcomes and deliver more personalized customer experiences. Lifetime value (LTV) Beyond immediate conversions, outcome-based TV ad measurement helps brands identify which TV campaigns attract high-value customers with long-term revenue potential. If a financial institution ran a TV ad campaign centered on its new credit card, for instance, it could use LTV to track new cardholders and determine whether ads occurring during financial news airtime produced customers with higher average annual spend compared to other segments. How outcome-based TV measurement works Outcome-based measurement is a data-driven process that involves collecting, analyzing, and applying insights to improve TV ad performance. 1. Collect data When someone sees your TV ad, they might take action, like downloading your app or buying something. Outcome-based TV measurement begins by tracking these actions and gathering data from various sources, such as: TV viewership CRM Digital engagement Purchase behavior Cross-platform interactions And more Data integration with digital platforms Combining TV data with insights from platforms like social media or website analytics creates a more unified view of campaign performance. This integration powers easier retargeting and better alignment between digital and TV advertising strategies. Some marketers enhance this integration further using artificial intelligence (AI) to streamline data coordination and ensure campaigns are optimized for effectiveness and ROI. 2. Connect the dots Next, marketers need to find out which actions were influenced by TV ads. It’s important to ask questions like these as you work to connect the dots: Did website traffic spike right after the ad aired? Did the ad viewers match the people who signed up for the service or made a purchase? You can link TV exposure to real-world behaviors with tools and identifiers like hashed emails, device IDs, surveys, and privacy-safe data-matching techniques. 3. Analyze the data Then, the data needs to be analyzed for patterns like these: Which TV ads or time slots drove the most engagement? Did certain customer groups respond better than others? Was there a noticeable lift in sales or signups after the ad campaign? This step can help you uncover what’s working and what’s not. Role of advanced analytics and machine learning The data analysis required in this process can be overwhelming, time-consuming, and risky without the right tools. Fortunately, advanced analytics and fast, effective artificial intelligence tools can process large amounts of data from digital platforms, TV viewership, and customer interactions in less time to reveal accurate, actionable insights and patterns. They can also predict which audiences, messages, and channels will be most profitable so campaigns can adapt in real time, whether by reallocating spend to higher-performing channels or refining audience targeting. 4. Turn insights into action Once you have your data-derived insights, you can tweak your campaign in a number of ways, whether you decide to: Adjust your ads: If one message works better than another, lean into it. Refine your targeting: Focus on the audience segments most likely to act. Optimize your spend: Invest in channels or times that deliver the best return. For example, if you see that ads during prime time lead to more purchases than morning slots, you can shift your budget accordingly. This type of knowledge can be used to continuously improve your campaigns. Each time you run a new ad, you measure again, building on past insights to make your outcome-based TV advertising even smarter. Applications of outcome-based TV measurement Outcome-based TV measurement has wide-ranging applications across industries. Here’s how it’s helping businesses link TV ad exposure to real-world actions and optimize campaigns for better results. E-commerce and retail: Retailers can track how TV ads influence purchases and use those insights to refine their assets and target specific customer groups. A clothing retailer may track how well a TV ad boosts online traffic and in-store purchases. For instance, if a seasonal sale commercial correlates with a spike in website visits or mobile app downloads, the brand can refine its ad placement to focus on the most responsive demographics. Automotive: Automakers use outcome-based TV measurement insights to determine how ads drive dealership visits, test drives, or inquiries. A car manufacturer could analyze whether TV spots featuring a new vehicle increase traffic to its dealership locator or car configuration tool online. Healthcare: Pharmaceutical companies could assess whether TV spots lead to increased prescription fills, or a health provider could test how ads promoting flu shots result in appointment bookings through its website or app. If any messages resonate more with families, the provider can create similar campaigns for the future. How Experian enhances outcome-based TV measurement Experian has recently partnered with EDO, an outcomes-based measurement provider, to offer more granular TV measurement across platforms. Our identity resolution and matching capabilities enhance EDO’s IdentitySpine™ solution with rich consumer data, including age, gender, and household income, all in a privacy-centric way. Integrating these demographic attributes is helping advertisers achieve more precise audience insights and connect their first-party data to actionable outcomes. As a result of this collaboration, brands, agencies, and networks can optimize their TV campaigns by identifying which ads drive the most decisive engagement among specific audience segments. We’re improving accuracy, targeting, and more so advertisers can maximize the performance of their CTV strategies. Get in touch with Experian’s TV experts If you’re ready to take your data-driven TV advertising strategies to the next level, connect with our team. We combine advanced data and identity solutions as well as strong industry collaborations to help brands optimize their TV campaigns. Whether you're navigating traditional or advanced TV formats, our expertise ensures your efforts deliver maximum impact. Connect with us today to drive engagement, connect with audiences, and achieve better ROI. Let’s transform the way you measure success on TV. Reach out to our TV experts Contact us Latest posts