At A Glance
As CTV viewership grows, marketers face challenges in targeting and measurement across fragmented platforms. Identity resolution and audience strategies, supported by Experian’s syndicated audiences and privacy-safe solutions, help DSPs and advertisers reach high-value audiences, improve campaign accuracy, and drive measurable outcomes.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 George Castrissiades, General Manager of Connected TV at AdRoll.
Premium reach and fragmentation
As viewer attention fragments across platforms, how should marketers redefine “premium reach” in CTV to prioritize engagement and audience quality over scale alone?
A few years ago, ad supported streaming over-indexed on younger adults, those without much financial history and much more budget conscious. It would have been fair for B2B brands to assume that maybe they weren’t going to find their C-Suite audiences on those channels, and so connected TV(CTV) was positioned as a top of funnel tactic aimed at retail. But that’s all changed – ad-free prices are going up, and ad supported tiers are the norm across the majority of channels. 66% of adults have at least one ad supported streaming channel, and adults today spend nearly as much time streaming movies and TV as they spend on their mobile phones. Now that ad viewing audiences on CTV really span the full spectrum of demo, techno, and firmographic segments, savvy marketers should partner with platforms that offer breadth and depth of targeting and measurement to find the highest value audiences wherever they’re watching CTV and serve them highly relevant ads that draw their attention towards the screen. I know I’m jumping out of my seat whenever I see an AdTech or MarTech ad.
Identity and relevance
What does a strong identity framework unlock for delivering household- and person-level relevance across screens, and how does it reshape audience planning?
In privacy-safe ecosystems, people want to share less data and log in to websites and browsers less frequently. If you can’t resolve a household ID to a CTV device through Safari and other sources of obfuscated identity, you’re going to end up losing a lot of signal along the way. On top of that, targeting smaller, higher-value audiences means this attrition can have a profound impact on your ability to build meaningful reach and use audience forecasts to predict scale. A strong identity framework is the key to maintaining as much of your planned audience as possible and staying true to initial forecasts.
AI and outcome planning
How is AI evolving CTV from tactical bidding to strategic outcome planning, and what mechanisms are in place to validate true performance lift?
Tomorrow isn’t guaranteed, especially not in advertising. Audiences change where and when they consume media, and so shifting budget to a placement that did well yesterday is like buying a stock when it’s outperforming – the gains might be gone by then! Predictive AI is bridging the gap to find the highest value and most engaged audiences in real time, versus being purely reactive. This helps drive outcomes which we see in the form of pipeline influence, ROAS, and site traffic lift – without exponentially increasing costs. The same is true for account-based marketing(ABM) outcomes – there’s a blend of signals, account “fit” and intent data that needs to be evaluated in a deeper, more intelligent way. AI is helping to find those highest value accounts, even before they’re in market, which means smart marketers aren’t showing up late to the party.
Measurement and incrementality
What privacy-safe, closed-loop measurement frameworks should become standard to prove incremental visits and sales from CTV campaigns?
Working with a dedicated multichannel, full-funnel ad and marketing platform like AdRoll can easily let you know when a user arrives at your site and makes a purchase, but understanding how that customer arrived there and which tactics deserve the credit requires a deeper, more sophisticated workflow. Our partnership with Experian allows all devices in a household to ladder back up to a household ID, so we can ensure accuracy without pivoting on anything personally identifiable. This works perfectly in CTV, an environment that follows an app workflow of user resettable device IDs rather than IP address or email but always connects seamlessly to web tokens including cookies. Accuracy, scale, and privacy are maintained in a proven way – you see this tech underpinning the infrastructure of streaming across all the biggest players, so marketers can rest easy.
Creative and commerce
How can creative sequencing and shoppable TV experiences convert living-room attention into commerce without compromising user experience or feeling intrusive?
I like to say that CTV trades attention for action. Users lean back and focus on the messaging and visuals of the big screen rather than scrambling for the mouse or tapping to close some intrusive pop-up. This focus means that the messaging is absorbed more quickly, but creatives can wear out their welcome just as fast. Sequential messaging really helps to move the messaging along without subjecting the viewer to longer ads where attention wanes, but also increases brand recall and specific product information because the story evolves with each impression. This is a great tactic to use when you want a viewer to take a specific action later – but shoppable ads can help motivate a user to act now, and new formats can really simplify things. Shoppable can feel out of range for most – the top players in this space own major e-comm storefronts and then tie them back into their own demand-side platforms (DSPs), content, and streaming devices. For the rest of us, dipping our toes in slowly through simple and cheap solutions like QR codes can connect audiences right to a web experience from their TVs, or intermediate solutions like interactive video ads. Users love to play around with fun on-screen experiences, and there’s a whole spectrum of crawl/walk/run options available.
Trust and governance
Which shared guardrails—brand safety, fraud control, and frequency management- are essential to unlocking sustainable, scaled investment in CTV?
I’ve always thought of CTV inventory analogously to high-end watches – if you buy from the source or a well-known, reputable dealer, you’re probably buying the real thing. But that fancy timepiece the guy was selling outside the bar, that you swore looked real? Probably not. Untrusted resellers and too-good-to-be-true pricing might mean you’re running ads on a screen at a lonely gas station at 3 am to an audience of no one, and that’s not even the worst case scenario. Good relationships and deep pockets can solve brand safety and fraud issues, but not every advertiser is going to have those resources. Brand safety and fraud prevention can reduce workload and help distinguish the good stuff from the growing pool of gray area, arguably, CTV inventory that isn’t what was promised to a customer. Outsourcing this trust also goes a long way, with buyers knowing you’re not grading your own homework. Frequency management is equally as important. Once you have your audience and your good supply, it’s important not to abuse a single household just because they meet your targeting criteria. Reach is your best friend with CTV.
Data and audience strategy
How do Experian’s syndicated audiences provide a consistent, scalable foundation for planning, activation, and measurement across CTV and digital, and what outcomes are clients seeing?
We love to talk about how Experian’s data is such an integral part of so much of streaming’s architecture, and the fact that it’s built on deterministic datasets means you’re getting scaled audiences built on knowledge rather than best guesses. That means a lot when working across multiple channels, privacy-safe environments, and households with an ever-growing number of connected devices. Our customers are always delighted at how precise targeting can be, especially in the B2B/B2C space – and knowing the size of those audiences helps them to understand how budget transforms into reach in a more predictable way. It’s confidence-inspiring to point to a new audience and tell your client that these are their future customers. The best part is showing them the outcomes reporting – we consistently see a massive spike in site traffic and engagement on days when a new Experian syndicated audience is launched!
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FAQs
Identity resolution ensures marketers can connect devices and maintain audience accuracy. Experian’s identity solutions help reduce data loss and improve audience forecasts, making campaigns more effective.
With viewer attention spread across platforms, marketers need tools that offer both broad and detailed targeting. Experian’s syndicated audiences provide reliable, scalable data to help identify and reach high-value audiences across channels.
Techniques like sequential messaging and shoppable ads keep viewers engaged and encourage action. Simple tools like QR codes or interactive video ads can connect audiences to web experiences directly from their TVs.
Strong identity frameworks help DSPs maintain accurate targeting and audience reach, even in privacy-focused environments. By connecting devices to household IDs, solutions like Experian’s Digital Graph ensure DSPs can deliver relevant ads and measure performance effectively across channels.
About our expert
George Castrissiades, General Manager of Connected TV, AdRoll
George leads the CTV go-to-market strategy at NextRoll, driving rapid growth and adoption of the channel for both B2B and B2C customers. With a track record of building and scaling CTV solutions, he is focused on developing a strategic playbook that accelerates success in the evolving digital advertising landscape.
Before joining NextRoll, George spearheaded CTV product innovation at iSpot.tv and held leadership roles in product and operations at YouTube, VICE Media, Crackle, Roku, and Innovid. His expertise spans product development, monetization, and market expansion.
About AdRoll
AdRoll is a connected advertising platform built for growth-minded marketers. With powerful AI, flexible campaign tools, and seamless integrations, AdRoll helps mid-sized businesses turn complexity into clarity and clicks into customers. The AdRoll platform delivers full-funnel performance through multi-channel advertising, audience insights, and cross-channel attribution, supporting marketers across industries including ecommerce, technology, financial services, education, and more. For B2B teams, AdRoll ABM extends these capabilities with account-based precision, multi-touch campaigns, and real-time buyer intelligence. Backed by nearly 20 years of data and award-winning support, AdRoll enables marketing teams to advertise smarter, move faster, and achieve more, all from one place.
Latest posts
Addressable TV has been through a transformation in the past year. Streaming content has become the most coveted space for creators and advertisers with the rise of new apps and platforms; but the influx of stay-at-home orders around the country have shifted television viewership as we know it, and streaming apps are popping up in droves to take advantage. So, how can you? With no shortage of opportunities to advertise on addressable TV and CTV, how does it fit into the media mix? And furthermore, how can you attribute this household-level device into your overall strategy? Tying it all together Layering addressable TV within digital ad campaigns couldn’t be easier today — but applying the right targeting and cadence between all of your digital efforts; and tying them together in attribution takes the right kind of data. Marketers can use CTV identifiers coupled with other device identifiers available in The Tapad Graph to not only target impressions but also map addressable TVs within the consumer journey; and unify strategies between household decision makers to better personalize messaging. 1 The Trade Desk Q2 2020 Earnings Call Transcript, August 2020; 2 iSpot Report, via Deadline, July 2020; 3 Flixed.io, January 2020 Contact us today
For the past several years ad-tech defined the value of identity at the individual level; made possible by the evolution of data, technology and machine-learning. But, earlier this year COVID-19 set in motion many shifts in consumer digital behavior. The more we’ve been working and learning from home, using devices that are shared amongst an entire household, the more apparent it is that marketers need to shift their strategies to align with these changes. Did you know the average household owns eleven or more connected devices? And the longer we’ve been at home, the more these devices are shared by multiple individuals. If you’re looking for a few simple ways to evolve from an individual focused strategy to a household strategy, here’s a good place to start: Audience segmentation Traditionally, audiences are built with a narrow focus on a single user, and what known attributes about that individual or their brand engagement can be leveraged for a targeting strategy. Now that screens are being shared between multiple users in a home, how can you be sure you’re identifying them correctly, and thus, segmenting them in the right buckets for targeting? The key lies in the ability to connect those points through identity resolution. Using ad exposure from household level devices, followed by a second engagement from an individual within that household can indicate a user is a better candidate for purchase or conversion than others. So before you build audiences for targeting, you can qualify them at the household level for segmentation with more confidence. Example: An auto advertiser uses audience segments from a third party provider such as ‘auto intenders’ to target individuals with new pricing offers. They would continue retargeting these users, unaware that some are connected in the same household, and thus are probably not all in the market to actually get a new car. By bucketing users that share a common household device within this third party segment, they can hone in on which individuals are actually in-market for a car and evolve their strategy to be more effective. Targeting Retargeting, frequency capping and sequential messaging have always been meant for an individual user — the more they’re exposed to your brand in a personalized way, the more likely they are to take the desired action. But, have you considered that multiple users could have a shared initial exposure to your brand? Today, you can target a household of potential consumers on a shared device like a CTV, and employ those retargeting strategies based on that common initial exposure. Starting at the household level, means you can compare movement through the funnel between different individuals in that household, and tailor your targeting accordingly. Perhaps you realize only one person in that household will convert and you tailor messaging to them more frequently, while confidently suppressing the other individuals. Example: a CPG brand uses OTT advertising, but doesn’t incorporate it within their sequential strategy, because they consider it just a ‘brand awareness’ opportunity. By using OTT more strategically as a household level engagement, it can reveal which individuals within a household are more favorable towards a brand further down the funnel. So, you can spend impressions targeting those users, rather than wasting impressions on multiple individuals within the household. Measurement Measurement and attribution are imperative to understanding the path to purchase and making strategies more efficient over time. Often that efficiency involves adding or removing devices and channels from a targeting strategy based on their contribution to an action or conversion by an individual. This year we’re seeing addressable TV devices explode in use, which are shared at the household level. Even desktop computers are being used by more people in the home due to COVID-19. So, assuming a linear path of attribution by an individual is missing the full picture. Identity resolution can help you understand where messaging was more effective for some users in the household than others, and leverage that insight to continue more effective strategies in the future. Example: Without a household view, a direct-to-consumer brand would assume all interactions from one device would be coming from a single individual, and that could create a higher cost-per analysis. By incorporating the household level devices into attribution models, they can find efficiencies between touch points of multiple users, and learn how those split off into individual paths to conversion. Not only can this DTC create a more effective model, but they can use that model to create cost efficiencies in the future. Contact us today
With the long-term effects to the economy unknown, many consumers are feeling the financial impact, while others are looking for opportunities, resulting in a transformational shift in spending. Some brands are experiencing decreased or paused marketing budgets, and you may be trepidatious about making the right decisions in your efforts to grow share of wallet. Recent events have been an impetus for change and we’re seeing brands make modifications to traditional marketing strategies. Some are developing innovative technologies and utilizing new sources of data and analytics. As we look at how these changes impact marketing results, we see the gap grow between those brands who are equipped to pivot and implement new strategies quickly, versus those who are not. So what steps can your organization implement now to make the smartest choices for both your customers and your business to secure more share of wallet? Here are four ideas to accelerate the success of your next financial marketing campaign: 1. Meet your customers wherever they are: Digital-first strategies have never been more relevant than they are right now. While consumers have fully embraced online engagement, marketers are even more focused on reaching high-value segments in the channels they utilize. By using an informed, data-driven strategy that includes preferred marketing communication channels and decision-making styles, engagement increases across those channels your target audience frequents the most. For example, are they heavy social media users? Do they prefer streaming TV? Or do they tend to rely on financial advice vs. performing their own research? To drive take rates, your audience must be exposed to a tailored message, in the right channel, and possibly multiple times. 2. Use messaging that resonates: As consumers refocus priorities, their expectations of brands with whom they do business are ever-increasing. Reflecting an understanding of the current needs and interests of your customers and prospects is an undertone that can only help strengthen their view of your brand. Consumer behavior has changed and is unlikely to revert to what was, so you want to be relevant, but you also do not want to be seen as ‘tone deaf’. As a result, consider revising your segmentation strategy to leverage predictive insights, such as household economic indicators, financial behaviors, lifestyle propensities and interests to help shape your message into one that truly makes an impact. 3. Prove the worth of your campaign: New consumer journeys are being formulated and showing ROI is imperative as your marketing budget is scrutinized. Having the right industry-relevant metrics and reports to analyze and share with leadership are key. Demonstrate that your campaigns are contributing to bottom-line success—and justify future campaigns—by using data-driven measurement insights collected across multiple reads and countless touchpoints. Marketing budgets are being scrutinized now more than ever, so showing ROI is critical. Having the right metrics and reports to analyze and share with leadership are key. 4. Follow government regulations—leverage Fair Lending-friendly audiences: Whether you’re cross-selling or prospecting, now is the time to identify the right audiences with rich data insights to not only execute impactful campaigns but adhere to government regulations that protect consumers and your organization. Trusting that the data you are activating follows Fair Lending Laws, including the Equal Credit Opportunity Act (“ECOA”) and the Fair Housing Act (“FHA”) is crucial. The Federal ECOA prohibits creditors from discriminating against credit applicants on the basis of several prohibited factors. Developing people-based segments that are not derived using these factors positions you to follow these regulations. Check out our previous blog post about Fair Lending-friendly audiences here. As you transition to new operating models, access to current and accurate consumer data can provide confidence in campaign potential, help you avoid business risk, enable you to respond to market changes and make better decisions. Experian can help you implement these strategies and put your brand unique position for growth. From start to finish, we provide the marketing solutions you need to plan, build and execute successful, Fair Lending-friendly campaigns to cross-sell to existing customers and acquire new customers. *Experian Fair Lending-friendly audiences do not constitute legal advice or otherwise assure compliance with the FHA, ECOA, or any other applicable laws. It’s recommended to seek legal advice with respect to the use of data in connection with lending decisions or application and compliance with applicable laws. Contact us today