For decades, television advertisers have faced a trade-off:
- Traditional linear TV: Delivers broad reach, utilizing the power of sight, sound, and motion on the big screen to capture more focused attention and foster immersive brand-building. However, it lacks the precise targeting modern marketers crave.
- Digital and addressable channels: Offer highly precise targeting and robust measurement capabilities but struggle to replicate linear TV’s unique combination of visual impact and viewer engagement on the big screen.
Connected TV (CTV) bridges this gap by preserving television’s immersive, large-screen experience—where audiences are more attentive to the content—while offering the precise targeting capabilities long associated with digital and addressable channels.
Yet, as the industry evolves, there’s a growing realization that lower-funnel performance marketing—which emphasizes quick wins from in-market shoppers—doesn’t fully support long-term brand growth. Leading brands have increasingly noted that relying solely on performance tactics can limit sustained demand and brand equity.
Within CTV lies a powerful subset: Free ad-supported streaming TV (FAST). As consumers gravitate toward free streaming options, FAST has emerged as a key focal point for reaching immediate and future buyers. In this article, we’ll explore why focusing only on in-market shoppers risks missing the larger pool of “future-ready buyers” and how FAST platforms enable brands to engage them effectively.
The challenge: Over-fixation on “in-market” shoppers
One common marketing hurdle is “lower-funnel myopia”—focusing almost exclusively on in-market shoppers who are ready to buy immediately. While this can yield quick wins, it also means brands miss opportunities to improve in three critical areas:
- Competition and costs: By chasing the same immediate buyers, brands drive up media costs, especially as programmatic ad spending continues to climb each year.
- Missing out on future buyers: Most consumers aren’t looking to buy right now. In fact, only 5% of potential consumers are active ‘in-market,’ meaning the other 95% represent future-ready buyers open to purchasing soon. Over-focusing on in-market audiences overlooks people who could be primed to purchase soon.
- Inefficient spend on “sure bets”: Over-targeting likely buyers inflates costs for conversions you’d capture naturally. Shifting budget toward brand priming boosts incremental ROI.
Expanding the funnel isn’t just smart – it’s necessary
While many advertisers have prioritized short-term conversions, the data shows a growing imbalance—and a potential risk to long-term brand health. According to The CMO Survey (eMarketer, Nov 2024), CMOs allocated nearly 69% of their 2024 budgets to short-term brand performance, leaving just 31% for long-term brand building. If you’re only engaging consumers when they’re already in-market, you’re effectively joining the race at the final lap—and often paying a premium to do so.
So where does that leave the vast majority who aren’t buying right now? That’s where future-ready buyers come in.
The solution: “future-ready buyers”
So, how can you broaden your reach without resorting to a “spray-and-pray” strategy? Enter category future-ready buyers—consumers who aren’t actively shopping right now but remain open to your product category. They’re not firmly opposed or “locked out” of it. For example, existing electric vehicle (EV) owners may not be in-market this very moment, but they could be ready to purchase another EV when their lease ends or a new model debuts, making them ideal future-ready buyers.
Why they matter:
- Cultivate future demand. Engage buyers early to stay top-of-mind when they’re ready.
- Build a sustainable brand pipeline. Develop ongoing interest instead of repeatedly chasing immediate leads.
- Expand your reach. Broaden targeting beyond active shoppers for long-term growth.
Use marketing data to avoid overspending on future buyers
Identifying future-ready buyers is powerful—but how do you avoid wasting spend on unlikely buyers? Marketing data helps refine your targeting with real consumer insights, maximizing ROI and campaign efficiency.
- Precisely define your segments: Use lifestyle, demographic, and psychographic data to target consumers who are open to your product, avoiding wasted impressions on uninterested audiences.
- Prioritize privacy and compliance: Choose partners who prioritize data security and adhere to regulations, ensuring your campaigns stay both trustworthy and effective.
FAST: The strategic channel for reaching future ready buyers
FAST services, like Samsung TV Plus, have evolved into a crucial medium for advertisers eager to strike a balance between scale and precision.
Here’s why:
- Engaged audience: Viewers access free, premium content in exchange for ads, making them receptive and attentive.
- Advanced targeting: FAST offers precise segmentation beyond traditional TV, helping you reach Samsung consumers both in-market and future buyers effectively on the biggest screen in the household.
- Positive viewer experience: Free content creates a relaxed viewing environment, increasing ad attention and recall.
Samsung TV Plus and Experian Marketing Services: Scale meets precision
Samsung TV Plus offers expansive reach and contextual targeting aligned to viewer interests. Experian Marketing Services complements this by identifying consumers most likely to buy, leveraging demographic, lifestyle, and intent data—helping you effectively engage future-ready buyers.
Putting it into practice: A use case
Scenario
An electric vehicle (EV) brand, EVolution Auto, wants to reach eco-conscious consumers who aren’t shopping for a car right now but might consider one soon. They also want to track how ads influence brand consideration and sales over time.
Approach
- Identify future-ready segments
Using Experian data, EVolution Auto focuses on “eco-conscious drivers”—people interested in sustainability who are likely to be open to an EV in the near future. - Activate on Samsung TV Plus
The brand places targeted ads on channels with environmental or tech content. With millions of monthly users and a relaxed viewing experience, EVolution Auto’s spots get more visibility, boosting ad recall.
Outcome
By pairing Samsung TV Plus’s broad reach with Experian’s precise audience data, EVolution Auto achieves measurable lifts in brand consideration, website traffic, and dealership visits—effectively priming future EV buyers and driving long-term sales momentum.
Building a future-proof strategy
Exclusively targeting in-market consumers can limit your brand’s long-term potential. By focusing on those not currently shopping—but still open to your category—you widen your future buyer pool and keep your brand top of mind. FAST services like Samsung TV Plus, paired with Experian’s marketing data, offer a powerful way to balance scale with precision–delivering strong engagement today while priming your brand for long-term growth. By shifting your focus toward tomorrow’s buyers today, your brand doesn’t just stay relevant—it sets the stage for sustained market leadership and growth.
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping to lead their brands to new heights in ad tech. Today’s interview is with Jordan Feivelson, VP, Digital Audiences at Webbula. Jordan is a 22-year advertising industry veteran who has worked for media properties such as WebMD and Disney. Over the past ten years, he has transitioned to the data and programmatic space, including growing the data business for Kantar Shopcom and Adstra. What types of advertisers might benefit from utilizing Webbula audiences across various verticals? Can you provide examples of how different industries successfully leverage your data to achieve specific campaign goals? Most advertisers can leverage Webbula’s award-winning attributes for their activation initiatives. Webbula offers approximately 3,000 syndicated segments covering categories such as Demographics, Automotive, Political, Mortgage, B2B, Hobby/Interest/Lifestyle, and Interests & Brand Preferences (brand name targeting). Audience insights and marketing strategies What specific types of audience segments does Webbula provide? How can advertisers leverage these segments to craft more effective, personalized marketing strategies? Webbula has incredible depth and breadth within its verticals, giving marketers the tools to deliver targeted messaging effectively. Our Demographic, B2B, Mortgage, Automotive, and Interest and Brand Preferences segments each contain 500-1,000 segments, all built on deterministic, self-reported, and individually linked data. We ensure the best accuracy with multiple deterministic data points tied to the real world (ex., first name, last name, postal address, and email address). Some examples of our unique syndicated audience types: B2B: A view of the latest industry trends with detailed cuts of the professional world, such as companies with and not within the Fortune 500 companies and job positions that are directors and below. This also includes custom capabilities, including ABM (list of target companies in an activation campaign or by industry code (ex. NAICS, SIC). Interest and Brand Preferences: Consumers who have shown interest and affinity to hundreds of brands (ex., Nike), genres (ex., comedy, hip hop), sports teams, and more. Mortgage: A detailed view of homebuyers’ purchase range, loan type (ex. jumbo loan, standard loan), mortgage amount, interest rate, and more. With Webbula’s audience data, brands can create a comprehensive picture of their audiences down to the individual level and reach them accurately. Data quality, sourcing, and differentiation How is consumer data sourced and curated at Webbula? Are there data quality standards that Webbula establishes for consumer data, and how do you ensure your sources and methods meet these standards consistently? Webbula’s data is aggregated from over 110 trusted and authenticated sources, including publishers, data partners, social media, and more. The data collected comes directly from consumers who self-report information through surveys and other methods. We apply our hygiene filters to mitigate fraud and accurately score the data. Data Collection: The data collected comes directly from consumers who self-report information through surveys, questionnaires, transactions, and sign-ups. This ensures that brands display ads to audiences based on self-identified, cross-channel behaviors, not modeled assumptions. Hygiene Solutions: Webbula applies multi-method hygiene solutions to mitigate fraud and accurately score the data before onboarding, ensuring that all data meets the highest quality standards. Examples of Data Sources: Questionnaires: Self-reported data through surveys, offer submissions, and telemarketing. Transactions: Deterministic data from aftermarket parts, online purchases or services, and more. Sign-ups: Individually linked data from information entered through sweepstakes, infomercials, newsletters, and forms. What differentiates Webbula's data from other data providers in the market? Can you explain the unique value proposition that Webbula offers in terms of data depth and breadth? Due to our extensive experience in data cleansing, we provide the most accurate data within the programmatic ecosystem. TruthSet, the leading programmatic accuracy measurement company, has ranked Webbula as having the highest number of top attributes compared to other data providers with 150M+ HEMs. Additionally, Publicis Groupe and Neutronian further validate Webbula's data quality, underscoring its position as a leader in the industry. Webbula's data stands out in the market due to its unmatched accuracy and quality, achieved through years of expertise in data cleansing. Unlike other providers, Webbula’s foundation lies in its robust email hygiene process, ensuring that all data entering the programmatic ecosystem is thoroughly cleansed. Privacy, compliance, and future-proofing What measures does Webbula take to maintain data privacy and compliance? How do these efforts benefit advertisers in an evolving regulatory landscape and ensure ethical standards? Webbula was created over a decade ago with a future-proof, privacy-compliant foundation. We understand the industry’s rapid changes, including government and state legislation and cookie depreciation. Our goal has always been to build long-term partnerships and ensure we are prepared for industry changes. We rely on validated offline data sources, making us resilient to external influences. Success stories Can you share success stories where advertisers saw significant campaign improvements using Webbula’s data? What were the key factors that contributed to these successes? Our success is measured by client feedback and increased client spend. Webbula has helped several key advertisers achieve six-figure monthly thresholds by providing the most accurate data to meet campaign KPIs. Clients consistently return to use our data, validating our belief that “the proof is in the pudding.” Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Webbula, reach out for a personalized consultation. Contact us Latest posts
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In our Ask the Expert Series, we interview leaders from our partner organizations who are helping lead their brands to new heights in adtech. Today’s interview is with Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts