As Viewer Habits Shift On CTV, Are Advertisers Keeping Up?
The TV industry has come a long way from the early days of cord-cutting skepticism. Today, consuming entertainment on the living-room screen over the internet is the norm.
The TV industry has come a long way from the early days of cord-cutting skepticism. Today, consuming entertainment on the living-room screen over the internet is the norm.
Despite Google’s recent decision to continue support for third-party cookies on Chrome, the ongoing degradation of legacy identifiers and data signals within the digital marketing ecosystem continues at an impressive pace.
If your marketing strategy isn’t data-driven, you’re not alone. Data has played a role in advertising for decades, going back to market research focus-grouping to understand feedback on branding. In the health care space, however, data is often underutilized due to fragmented systems and a lack of integration between marketing and clinical data. With over 97% of health care data still untapped, vast opportunities for creative, targeted solutions remain undiscovered.
The distribution of live sports on CTV is driving one the biggest disruptions to traditional linear TV advertising. For the first time, NBCUniversal Olympics inventory was made biddable on Peacock. With over 4.5 billion minutes of coverage streamed during opening weekend – and the second-best day of engagement ever for Peacock – advertisers reaped the rewards of digital viewership.
We live in interesting times. Between a slew of evolving regulatory changes, Google’s back-and-forth stance (and ultimately unsurprising decision) on third-party cookie deprecation and ongoing signal loss, marketers are forced to operate with reduced access to consumer data.
If you’ve shied away from incorporating social media and influencers into your marketing strategy, now is the time to rethink your approach. There’s never been a better moment to use these powerful channels to promote your brand – especially if you’re in the health care and pharmaceutical space.
Streaming TV (STV) has transformed content consumption. Viewers find it convenient and cost-effective and they enjoy the vast range of content to binge. As STV continues to grow exponentially, its full potential as an advertising channel hinges on building robust measurement capabilities.
“Can you tell me which hour of the day is most profitable for us?”
It’s a familiar scenario: You’re meeting with your client to review their latest campaign dashboard, and your client asks for a custom metric that goes just beyond the dashboard you’re sharing with them. You say you’ll check with the team and get right back to them.
Sure, it’s July. But as the 2024 holiday shopping season nears, using location intelligence allows businesses to integrate physical and digital experiences, creating a cohesive customer journey across both realms.
The programmatic advertising landscape has evolved significantly since its inception, introducing new complexities and challenges for both buyers and sellers.
It’s no secret that there are a lot of people watching connected TV (CTV) these days. And where the audiences go, advertisers follow.
The big promise of programmatic is expanded reach. But we all know the reality is a lot more complicated.
Advertisers see the value in AI. Still, there’s plenty of potential that remains untapped when it comes to developing creative.
In today’s evolving digital landscape, the absence of third-party cookies presents new opportunities, and harnessing AI has become indispensable for marketers striving to maximize their budget and performance.
Imagine you’re deep into streaming game five of the NBA playoffs. After enduring the same car commercial countless times, frustration sets in: “Not that truck ad again. I’m not in the market for a car, but even if I were, I’d never buy this now because they practically ruined the game for me.”
The advertising industry’s shift from last-click attribution to multi-touch attribution (MTA) initially promised a deeper understanding of marketing effectiveness. However, limitations like signal loss and the ineffectiveness of non-clickable media like TV have emerged.
Remember that car you had in college? You took it everywhere and used it for everything. You loved it. Sadly, you eventually outgrew it. You needed more room, some basic safety features, and it had a faulty transmission that wasn’t worth replacing.
Things are moving (pardon the pun) FAST in CTV programmatic. Total spend topped $21 billion in 2023, representing roughly 4x growth over the last five years. But if we want to ensure those ad dollars translate into outcomes, we collectively need to slow down and make time to proactively attack fraud and transparency concerns before they get worse.
The expected shift away from third-party cookies might have slid from 2024 into 2025. But the shift is reshaping the marketing and advertising industry in ways that matter today. The need for organizations to prioritize addressability has never been greater. Yet many marketers are still struggling with precisely how to rework their data strategies to be sustainable for the long haul.
Habits are easy to form and hard to break. But occasionally, the world helps you out with a giant push toward a better path. With Google (finally) phasing out third-party cookies this year, digital marketers have the chance for a fresh start: It’s time to go beyond surface-level demographics and psychographics to move toward location-based targeting that not just understands interest but predicts intent.
As April 15 marks the deadline for filing personal taxes in the US, it’s crucial to bring attention to a less acknowledged but equally significant tax in the CTV landscape. Unlike the annual tax day, the ad tech tax is a perpetual drain on advertisers’ budgets, diminishing their return on investment with every campaign run through the programmatic CTV pipes.
One morning in the near future, you’ll open your favorite mobile app or visit your favorite website and face a sign-up wall that didn’t exist before. Targeted advertising is under threat.
If there is one term dominating the headlines right now, it’s AI. With the promise to transform the world as we know it, advertisers need to understand how consumers perceive the use of AI and what drives their sentiment.
Now that Google has deprecated 1% of cookies, the clock is ticking for advertisers and agencies to future-proof their media buying strategies. Cookies offered precision and scale in ad tech, and their deprecation leaves trading teams with more fragmentation and complexity to manage than ever before.
New year, same conversation. Generative AI exploded onto the scene more than a year ago, and now you can’t go an hour without a new announcement about AI. While AI isn’t new, the introduction of generative AI has brought about the art of possibility. It brought what seems impossible within arm’s reach. Suddenly content at […]
When Google first announced plans to disable third-party cookies on Chrome in January 2020, the news hit ad tech like an earthquake. But a lot has changed in the past four years. Now, as Google finally begins acting on those plans, the death of the third-party cookie is looking a lot more like opportunity than crisis.
Marketers and advertisers have been calling for transparency into their advertising investments – from planning to activation, measurement and optimization – for years. Yet, by and large, the lack of transparency has been accepted as the status quo: While we’ve made strides, data remains fragmented – operationalized and accessed on behalf of marketers, rather than with them.
The ad tech industry has undergone an identity transformation. With 2024 around the corner, the end of the once-reliable cookie is finally at hand. But signal loss doesn’t stop with cookies.
The need to expand beyond first-party identifiers fundamentally changes how companies think about building out a future-ready mar tech stack – with some big implications for how many companies have designed their customer data platforms (CDPs) today.
For the past two decades, B2B marketers have been inundated with messaging telling them they need to “take a page from the B2C playbook.” There’s truth in this advice – but there are faulty assumptions at play, too.