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 Rachel Herbstman, VP of Data Innovation, and Anastasia Dukes-Asuen, Senior Director of Advanced TV Data & Insights at Ampersand.
Could you introduce us to Ampersand and discuss your approach to TV advertising?
Ampersand, a joint venture between Comcast, Charter, and Cox, is a media sales organization that offers a unified footprint, unlocking unparalleled scale and unique data/insights for local and national advertisers. Ampersand gives advertisers true audience first planning, scale in execution, and advanced measurement of their TV investments, representing 117 million multiscreen households and over 75% of addressable households in the U.S. (64 million households). We help clients reach their unique target audience and deliver their stories – anytime, anywhere, and on whatever device.
How does adding streaming to a linear campaign, or vice versa, enhance overall campaign performance for marketers?
Herbstman: Marketers have recognized that multiscreen media strategies are the strongest as viewership continues to fragment. Unique audiences exist in traditional TV and streaming, and failure to include either media channel will reduce the total reach opportunity. These channels have proven to validate unduplicated audiences.
In our local business, adding streaming to a historically traditional linear-only media strategy increased campaign reach by 33%. Conversely, adding linear TV to a historically streaming-only media strategy increased reach by 209%. These metrics are validated by matching media exposures to an authenticated households subscriber ID and represent mass opportunities to reach new audiences with a multiscreen media strategy.
When considering reallocating media investments, how does Ampersand help clients determine the most effective channels for specific campaigns?
Herbstman: For a brand that historically invested in traditional TV, either national or local broadcast, we can provide insights to analyze the performance of any media campaign. The insights can include high-level metrics like reach and frequency and more granular metrics like unique reach per network. By seeing both the high-level results and more detailed granularity, we can provide optimization recommendations for funding other activation opportunities.
Our database of past campaigns consistently demonstrates that gaining new eyeballs with a national TV campaign usually plateaus after a few weeks. In other words, if most of your intended audience is reached after about three or four weeks of national television, reaching any new viewers can be exponentially more expensive.
We’ve built an Addressable Simulator tool for national advertisers that shows the potential impact of shifting a portion of the national media weight, specifically from the latter part of a flight, into addressable TV. Using our licensed Experian data set, we can measure any standard age/gender target or any advanced target to understand the complementary impact that addressable audience has on national media.This tool has dynamic inputs of CPMs and incidence rates, flight lengths, and budgets to simulate different scenarios and give marketers some intelligence on what holistic reach against that Experian segment they could expect with one given budget using brand-safe, traditional, and streaming inventory with an addressable activation.
Additionally, we’ve developed an interactive eCPM calculator that helps national advertisers assess the cost efficiency of adding addressable TV to their traditional campaigns. By dynamically inputting CPMs, marketers can evaluate tradeoffs between media types for upcoming campaigns.
Are there audience demographics that benefit from these combined media strategies, and what indicators or data points guide your recommendations to add cable to a local broadcast campaign versus other reallocations?
Herbstman: By including cable or streaming in a local effort, a client can use a data-driven approach to find more intended viewers in other premium content. Utilizing the vast library of Experian audience segments paired with our robust sample of 64 million data-enabled homes enables Ampersand to provide insights into the most valuable networks and dayparts that the intended viewer will likely watch on either platform.
With identity and viewing insights at scale, we can understand how consumers watch TV, even for inventory we have yet to sell. Our goal is to help marketers understand what’s happening as a result of their investments at a holistic level.
We can analyze a campaign running across hundreds of designated market areas to quickly and simply understand the holistic delivery of their broadcast and cable weight by pulling back set-top-box exposures on broadcast and Ampersand-purchased cable on our measurable footprint. Then, we can determine the share of measurable reach that each portion’s media weight contributes to.
We recommend optimizing towards a more balanced approach, where the reach levels for broadcast and cable mirror each other, creating a more effective market media mix.
Once we confirm cable’s potential in a market, we analyze network and daypart metrics to adjust key areas to optimize the campaign. We invite marketers to use these insights to measure their local or national TV campaign performance and garner unique perspectives to re-balance investments to drive reach and optimal frequencies.
Are there common missteps to avoid?
Dukes-Asuen: Ampersand’s decades of experience with media and data insights have allowed us to create an extensive database complete with targeting and measurement benchmarks. We use this database to curate best practices for brands and help set them up for success, keeping their goals and objectives for reach and frequency in mind.
Some clients spread their investment levels too thin, whether through short flight windows, low weekly frequencies, or targeting overly niche audiences that don’t fully support KPI goals.
One way to avoid these missteps is to set up a test-and-learn plan to validate a hypothesis and refine media strategies, ensuring campaigns are structured to garner meaningful insights. Ampersand can help ensure the test itself is constructed and supported to yield statistically relevant results, and the learnings can then be applied to the next campaign.
How does Experian’s data enhance your campaigns at Ampersand?
Dukes-Asuen: Within our Experian license, we can map the Experian Consumer View databases against our multichannel video programming distributors subscriber base in a privacy-compliant way to plan and activate them seamlessly. Experian has a rich set of audience targets and segmentation that we utilize to identify households that can be used for audience-based media execution with Ampersand. By defining the right audience—whether consumers are likely to purchase a product, exhibit certain behaviors, or demonstrate specific values—we enhance campaign performance and improve media spending efficiency for our advertisers.
Additionally, how do you believe AI and other new technologies will impact your media buying approaches in the future, and how might these innovations improve campaign effectiveness and provide value to your clients?
Herbstman: We have a strong use case on the measurement and analytics end. Using AI, we can aggregate a massive amount of historical data—viewership and exposure data. AI helps us understand overarching market trends and media performance to analyze campaign results and inform future campaign optimizations. The value of AI is in its role as an additional technology layer, enriching our insights portfolio and providing faster intelligence that enhances campaign effectiveness and delivers greater value to our clients.
Can you share an example of how precise audience targeting and segmentation, powered by Experian, have led to significantly better media spend reallocations and campaign performance for marketers?
One great example is how a national cruise brand dramatically improved its media spend and campaign performance by utilizing precise audience targeting and segmentation through Experian. By combining Ampersand’s addressable TV with Experian’s data-driven insights, they achieved a 14% incremental reach, a 3.1x higher frequency, and a 24% lower effective CPM. This strategic approach allowed them to reallocate their media spending more effectively, ensuring every impression reached their custom target audience.
Thanks for the interview.
For those interested in learning more about Ampersand, reach out for a personalized consultation.
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Originally appeared in AdExchanger Google’s decision not to deprecate cookies in the Chrome browser after all caused a stir across the industry. Companies invested heavily in developing solutions aligned with the Privacy Sandbox as a survival tactic for the post-cookie landscape. At first glance, Google’s about-face may appear to undercut those efforts. It’s easy, and perhaps even satisfying for some – but inaccurate – to say “all that effort was for nothing.” Given Chrome’s dominance among browsers, AdTech companies had no choice but to prepare for “what if” scenarios. The same goes for cookie deprecation. Google’s plan to end support for third-party cookies would have removed a mechanism that has been a cornerstone of addressability for the past 15 years. To be clear, those efforts have not been wasted. They spurred innovation across the AdTech landscape, driving progress in privacy-first targeting, alternative identifiers, supply-path data activation, and real-time data enrichment – all of which will pay dividends for years to come. Whether born directly from Privacy Sandbox participation or inspired by the broader trend toward privacy reform, industry-wide preparation for cookie loss and browser disruption has yielded tangible benefits. Pressure from Google, Apple, and evolving regulations served as a catalyst for modernization that could shape the next decade of advertising technology. An industry anchored in product innovation AdTech is a fundamentally product-driven industry defined by short innovation cycles and the imperative to build and test rapidly. This DNA enables companies to stay resilient, evolve and deliver innovation. Change is good. Disruption can be even better – but only for those who embrace it. Google’s evolving stance on cookies and Privacy Sandbox doesn’t negate what’s been learned. If anything, it underscores the need to keep innovating. The next wave of disruption is likely right around the corner. The payoff While some may argue that the time and effort spent preparing for cookie loss was wasted, those efforts have functioned as a forcing mechanism for several innovations in data activation. Supply-side data activation and optimization, aka “curation,” is an alternative to the traditional approach to data activation. Unlike the traditional data management platform (DMP) to demand-side platform (DSP) activation flow, curation allows buyers to utilize supply-path data more directly. The upshot? Improved performance and pricing for media agencies and brand advertisers. As curation continues to evolve, it’s poised to play a central role in how advertisers and publishers transact. Real-time data enrichment is another area that has benefited from this period of accelerated innovation. Many companies were compelled to improve their tech stacks to align with Sandbox protocols. These updates, particularly in real-time data enrichment capabilities, are now laying the groundwork for future data activation strategies across both the buy and sell-sides. Exiting out of tunnel vision Over the past five years, the AdTech industry has invested deeply in planning for a future without cookies. Still those investments have been well worth it. While cookies are not going away, the broader deprecation of signal continues. The work that was done to prepare will inevitably inform the next evolution of our industry. Contact us Latest posts
Marketers are under more pressure than ever to deliver personalized, high-performing campaigns—while navigating tighter budgets, shifting privacy expectations, and fragmented tech stacks. Despite an explosion of tools and data sources, the fundamentals of marketing haven’t changed. Every great campaign still starts with a simple question: Who are we trying to reach? The answer depends on how well you understand your customers. Increasingly, that understanding is hampered by data silos, inconsistent identity signals, and disconnected workflows between planning, activation, and measurement. When those pieces don’t align, it leads to inefficient spending, incomplete insights, and missed opportunities. To move forward, marketers need more than better tools—they need a more connected approach. Start with a complete view of the customer The foundation of effective marketing is understanding your audience—not just who they are, but what they care about and how to reach them across devices and platforms. That starts with building a complete customer profile. For many marketers, this means linking persistent offline data—such as name and address—with fresh digital signals like device IDs and online behaviors. When combined, these elements provide a high-fidelity view of the customer that can be enriched with attributes like demographics, purchase behavior, and lifestyle interests. This kind of profile doesn’t just help you understand people—it helps you build audience segments that actually perform. Whether you’re working with your own CRM data or third-party sources, the ability to create addressable segments that are both accurate and scalable is what separates good campaigns from great ones. 🛳️ That’s exactly what MMGY did for Windstar Cruises. By layering first-party data with behavioral and demographic insights, they built custom audiences that more than doubled campaign benchmarks. 🎮 Gaming platform Unity tapped into Experian audiences to understand player behaviors across web, mobile, and connected TV (CTV). These insights helped their advertisers reach gaming audiences more effectively—tailoring creative and delivery to real-world preferences, not assumptions. Activate with precision, not just volume Knowing your audience is only half the battle. The next challenge is reaching them—consistently and efficiently—across multiple channels. This is where fragmentation can creep back in. All too often, marketers build audiences in one system, but activate in another, causing data loss and targeting mismatches. 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Curation — the intelligent packaging of data and inventory actionable in a private marketplace deal — can no longer be considered a trend or buzzword. With over 66% of all open exchange – representing $100 billion in annual spend – being transacted through private marketplace deals (PMPs), curation is a key part of how data and identity are addressed and actioned in programmatic media. Programmatic advertising is certainly known for big shifts, but as shared by Index Exchange CEO Andrew Casale, “Curation will be bigger than header bidding and as big as programmatic or real-time bidding (RTB) – that’s our bet.” And we agree. But why has curation become a critical component of brands and media agencies' digital advertising strategies? Put simply, the math. Case study after case study empirically shows curation performs well for both the buy and sell-sides. For media agencies and brands, curation consistently shows four main benefits: Significant cost efficiencies Buying curated PMPs shows significant cost efficiencies when compared to buying data from the buy-side alone. Strong performance Data-enriched, curated PMPs can be optimized through the supply path, unlike a data management platform (DMP) segment, which leads to strong performance. Futureproofs media buying When data is curated through the supply path, it does not need to rely on legacy identifiers (like cookies), and the door is open to robust, next-gen addressability which better futureproofs media buying opportunities. Value-added insights Curation comes with robust log-level data that can be used for value-added data science including analytics, insights, reporting, and attribution – all critical in a world where addressability and identity resolution are becoming even more challenging. Curation introduced efficiency into homeopathic brand Boiron’s media buys, reducing the brand’s data costs by 30%, which enabled the brand to reinvest the same budget in brand awareness goals. Curation not only met but also exceeded the CPA for display by 82% and for video by 41%. “Audigent has been a top 5 performer in terms of CPA during our testing, helping our teams deliver 44% more efficient spend for brands across CTV campaigns."Sam Bloom, Head of Partnerships at agency PMG A big boost for addressability Legacy identity signals are changing. Whether it’s by browser, device, or platform, both buy-side and sell-side platforms need strong identity signals to reach their intended audiences, and this has become harder than ever before. Curation, with its real-time data connection and enrichment capabilities, solves signal loss challenges by directly connecting to the supply path and using a broader spectrum of identity solutions to boost addressability. Curation allows platforms to target first-party, third-party, contextual, indexed and modeled audiences. This alleviates the dependence on any one identifier and boosts the relevant bidding opportunities for brands and media agencies to target audiences. Not all curation is created equally As with any hot innovation, AdTech is notorious for companies jumping on the bandwagon of the largest trends. Curation is no different, with seemingly everyone now claiming to be a “curator.” As the industry works to define what is and isn’t “curation," we are uniquely positioned to define this as Audigent has pioneered curation for seven years and is the industry leader. The definition of curation is the intelligent packaging and optimization of data curated against the inventory supply path. There are three definitional elements to any curation product: Unique audience data Curation must include first-party, third-party, contextual, indexed and/or modeled data. Robust SSP integration To apply data in real-time to the inventory supply path, a curator must have deep partnerships and integrations that enable the combination of data and inventory into a single package. Optimization The whole point of curating data against the supply path is that it opens the door for robust real-time optimization to drive performance. If the solution ticks all three boxes, then brands and agencies should test curation and gauge its results firsthand. Curation done right drives results for brands, agencies, and publishers When done well, curation improves media buying efficiency and performance for brands and agencies. Importantly, it also drives results for publishers and content creators. 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