Your ‘First Of Its Kind’ AI Platform Probably Isn’t The First – And You Don’t Have To Pretend It Is
Don’t ask whether any other company has created a similar product to yours; the answer is probably yes. But there are other ways to stand out.
Don’t ask whether any other company has created a similar product to yours; the answer is probably yes. But there are other ways to stand out.
AI shopping agents are breaking the traditional attribution loop. Marketers must ensure that AI is aware of their brand and track how that awareness influences ecommerce outcomes.
Almost everything in AI feels big. But are you looking at the next Gangnam Style or the birth of a new industry? Here’s how to assess whether an AI vendor is likely to matter in two years.
For years, MFA was a mostly web-based problem. Now, generative AI has supercharged the made-for-advertising model, and it’s infecting social media feeds and vertical video platforms.
Broadsign may actually be building a platform that will make an attractive acquisition target down the road. And one of the major cross-platform Big Tech players feels like the most likely buyer.
CTV spending is flattening, performance is plateauing and buyers are hesitant to push budgets further. The reason is not complicated. When buyers cannot see what they are buying, they cannot commit their spend with conviction.
Generative AI is the new ad land obsession: a shiny promise of a fully autonomous world of self-driving advertising. But behind the hype lies the costly delusion that automation can replace judgment and more content somehow means better marketing. We’ve entered the age of machine-made abundance, where content can be generated faster than it can […]
With privacy under unprecedented attack by data brokers and social media, it is the wrong time to weaken CIPA’s private right of action protections, as has been proposed in California Senate Bill 690.
When it comes to complex techniques like media mix modeling, the field is awash with false promises about the benefits that AI can offer.
The real challenge is drawing a clear line between the AI-generated content that adds value and the kind that erodes trust and leads to significantly lower ad effectiveness.
Social CPMs have risen. The ability to find incremental audiences on social platforms has declined. Add the growing brand-safety concerns, and the equation looks even worse.
It won’t fail because the protocol is bad; it will fail because you’ve been sold a simplistic dream – a “universal API” for ad tech – and that’s what you’re budgeting for.
Understanding where AI agents make financial sense today is the difference between building a sustainable competitive advantage and burning through your margins in pursuit of buzzwords.
As the pendulum swings hard toward 1:1 personalization, a critical question emerges: Just because we can personalize every interaction, does it mean we should?
ChatGPT and others continued the fragmentation of the search journey, which today hops between platforms and intents. The funnel no longer exists. Here’s how to pivot your brand’s SEO/GEO strategy.
The number and scope of U.S. laws that require advertisers to disclose the use of AI are limited. But there are some restrictions and guidelines that advertisers must follow to ensure their compliance.
Principal-based buying isn’t inherently bad. When incentives are aligned, clients get more precision and speed than traditional agency models often allow. The issue isn’t the mechanism; it’s the incentives.
The real risk isn’t in running robust tests; it’s in wasting money or cutting high-performing channels based on misleading conclusions from bad measurement.
Marketing has long struggled to prove itself as a growth engine. What if agentic AI isn’t the threat many fear but the breakthrough marketing always needed?
Agencies that dismiss in-house development are limiting their potential for differentiation. Here are five questions to ask yourself before committing to in-house tech.
SSPs are staring at their own demise. And it’s because, for over a decade, SSPs have positioned themselves as agnostic platforms.
The old approach to media and measurement is no longer sustainable. AI is now embedded across every step of the media value chain, and AI is only as good as the data it’s fed.
We spoke to a score of ad tech leaders to uncover seven competencies essential for the success of the next generation of ad tech leadership.
Straddling the line between content creator and content-conscious mother offers a fresh perspective on the importance of media literacy and advertisers’ role in the online ecosystem.
In an era marked by generative AI, algorithmic optimization and an obsession with outcomes, cloud infrastructure has become a competitive differentiator.
Remember when you could update your privacy disclosures and be in good shape for a few years? Well, those days are long gone.
The competitive set has shifted and it’s stacked against independent DSPs. But, instead of chasing what competitors already own, TTD can own what they can’t: trust.
New social media content moderation policies will enable connections with audiences that reflect a broader range of perspectives, expand inventory, and provide opportunities for contextual alignment.
Almost a decade ago, running multiple retargeters across the same user base was a recipe for inefficiency. But the landscape shifted, and the data makes that clear.
As marketing fails to speak the language of business outcomes due to an overemphasis on vanity metrics, it is increasingly losing its seat at the decision-making table.