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The age of abundant data has arrived, yet many organizations find themselves drowning in information while struggling to connect with customers on a human level. This paradox, being “data rich but insight and action poor,” is a common challenge for businesses today. The sheer volume of signals, from website clicks to social media mentions, creates an overwhelming scenario where insights become outdated before they can be acted upon.
Today, we’re going to talk about how AI is poised to revolutionize marketing, from personalization and customer engagement to the very structure of the SaaS market itself. To help me discuss this topic, I’d like to welcome, Rafael “Rafa” Flores, Chief Product Officer at Treasure Data.
Today we’re going to talk about how AI chatbots are siphoning off audience attention—and what forward-thinking publishers can do about it instead of panic-refreshing their analytics dashboards.
To help me discuss this topic, I’d like to welcome Sean King, Chief Revenue Officer and GM of Media & Entertainment at Veritone.
The customer experience (CX) landscape is in constant flux, a dynamic interplay of evolving expectations and technological advancements. While brands invest heavily in CX initiatives, a multi-year decline in customer satisfaction reveals a widening gap between what customers expect and what brands deliver. This isn’t necessarily a reflection of declining quality, but rather an acceleration of customer expectations that brands are struggling to match.
This article was written by Greg Kihlström for MarTech. Marketing
technology was already evolving at breakneck speed when generative AI
entered the scene. Now, agentic AI — AI that can operate independently,
execute multi-step tasks and continuously learn from interactions —
promises to accelerate that evolution even further.
For more than a decade, personalization has been touted as the holy grail of marketing—delivering the right message, to the right person, at the right time. And yet, in 2025, most organizations still fall short of executing it meaningfully and at scale. While the proliferation of customer data, advanced MarTech tools, and AI-driven innovation have improved the technical foundation, execution often lags behind ambition.
This article was written for MarTech by Greg Kihlström. Want your ads
remembered and acted on? Use these creative levers to boost
distinctiveness, emotional impact and profitability.
In enterprise customer experience, the holy grail has always been this: quick resolution, high satisfaction, low cost, and—if you’re feeling ambitious—some level of humanity. But achieving that elusive balance has historically required uncomfortable trade-offs: 24/7 responsiveness meant hiring an army of support agents or disappointing customers with a clunky chatbot that offers little more than a link to the FAQ.
Synthetic personas sound like a marketer’s dream—or perhaps a data scientist’s hallucination. What if you could talk to your ideal customer without the logistics of scheduling a focus group or the potential bias of a survey? It’s a tantalizing promise, and thanks to platforms like PreLaunch.com, it’s inching closer to reality. But as Narek Vardanyan, CEO of PreLaunch.com, makes clear in a recent interview, not all synthetic personas are created equal—and their utility depends heavily on what you’re asking, and why.
Let’s explore some key takeaways from a conversation with Stephanie, exploring how brands can leverage AI’s potential while upholding customer trust. We’ll explore the importance of defining clear use cases, respecting privacy personas, and fostering transparency throughout the AI integration process. These principles are crucial not just for avoiding pitfalls, but for truly harnessing the transformative power of agentic AI to build stronger, more meaningful customer relationships.
