This article was based on the interview with Twilio’s Vanessa Thompson on moving to a unified view of your customers by Greg Kihlström, AI and MarTech keynote speaker for The Agile Brand with Greg Kihlström podcast. Listen to the original episode here:
For decades, the marketing funnel has been a cornerstone of our practice. It provided a simple, elegant model for understanding how a nameless prospect becomes a known customer. We built dashboards, designed campaigns, and structured entire teams around its linear logic. It gave us an operating model, a common language to discuss progress from awareness to conversion. And for a time, it worked well enough. But in today’s hyper-connected, multi-channel world, clinging to that rigid, top-down model is becoming less of a guide and more of a liability. The funnel tells a story, but it’s an increasingly incomplete one, and it might be lying to you about what your customers actually want.
The fundamental flaw is its linearity. It assumes a customer starts at Point A and moves predictably to Point B, with our marketing efforts as the primary influence. As we all know, that’s rarely the case. Customers move dynamically, leaving signals across our websites, apps, third-party review sites, and social channels like a trail of breadcrumbs. The real challenge—and the most significant opportunity for enterprise marketing leaders today—is to stop trying to force customers down a predefined path and instead learn to interpret these signals in real-time. This requires an architectural shift, a new way of thinking about data, and the intelligent application of AI not just for automation, but for genuine, context-aware assistance. Based on my conversation with Vanessa Thompson, VP of Revenue and Growth Marketing at Twilio, the future belongs to brands that can move from tracking what happened to understanding what a customer needs, right now.
The Mindset Shift: From Past Actions to Present Needs
The traditional funnel is, by its nature, a lagging indicator. It tells you what a customer did—they clicked an ad, they downloaded a whitepaper, they requested a demo. These are valuable data points, of course, but they are pieces of history. They don’t necessarily reflect the customer’s current state of mind or immediate need. As Vanessa Thompson explains, this historical view is where the old model falls short. The focus needs to shift from simply logging actions to interpreting the patterns behind them to understand intent in the moment.
“The funnel tends to tell you what happened, and that’s the old mindset, but it really doesn’t tell you what the customer is needing in that moment. And so there are plenty of models out there that we’ve all bought or built… but it’s really, what is gonna get you the full picture of what that customer or prospect needs at any given moment?”
This distinction is critical. A customer who visited your pricing page, opened a “getting started” email, and spoke to a sales rep all in the same week is exhibiting a pattern of behavior that signals far more urgency and intent than a simple lead score might suggest. The old way was to assign arbitrary point values to each action. The new way is to stitch those signals together in near real-time to build a dynamic profile. This isn’t about throwing out our models entirely; it’s about evolving them. It’s about building a data foundation that combines first-party behavioral data with relevant third-party signals to stop guessing and start responding to the customer’s actual journey, not the one we’ve drawn for them.
Putting Theory into Practice: The Power of a Unified View
It’s one thing to talk about a “unified view of the customer” and another to see it generate millions in revenue. The concept can feel abstract, requiring significant buy-in and technical heavy lifting. However, the results of getting it right are tangible and profound. At Twilio, they’ve turned a common e-commerce problem—cart abandonment—into a powerful re-engagement engine for their own product-led growth motion, demonstrating what’s possible when your data architecture is built for speed and context.
“We use segments and it instantly captures the event. It stitches the anonymous information about the visit to a known account. And within 15 minutes, we’ve triggered a personalized email nudge. We’ve also synced a retargeting audience to Google and Meta to say, ‘Hey, like, do you need some help?’ … Before that architecture existed, that was three separate things that we had to go and do and orchestrate… and we wouldn’t have ever been able to do that in a really short amount of time.”
This is a masterclass in modern marketing execution. The key isn’t just that they reach out; it’s the speed and the posture of the communication. The assumption isn’t that the user lost interest, but that they “got stuck.” The goal is to be helpful, not just to market. The results speak for themselves: over 11,500 additional signups, a 54% increase in spenders, and over $4 million in closed-won business from this single, automated flow. This isn’t a theoretical ROI; it’s a direct outcome of an infrastructure that can identify a moment of friction and immediately activate personalized, multi-channel assistance. For marketing leaders making the case for investing in a Customer Data Platform (CDP) or similar data unification projects, examples like this are invaluable.
Graduating AI: From Simple Automation to Intelligent Partner
As we unify our data, the next frontier is how we activate it. For years, automation has helped us scale, but often at the cost of personalization, leading to generic lifecycle nurtures that talk at the customer. Now, with the rise of more sophisticated, context-aware AI, we can move beyond rigid, pre-programmed sequences to dynamic, two-way conversations. Twilio has taken this a step further by building its own AI agent, Isa, not as a sales tool, but as a success partner.
“Its main goal is actually to help people be successful on Twilio… If a customer’s being successful, we’re going to be able to be successful alongside them. And so, that’s the approach we took with Isa… We’ve seen in terms of data from users that do go and take that path, is they’re 3X more likely to upgrade their account if Isa is having a conversation with them over email.”
This reframing of AI’s purpose is revolutionary. Isa isn’t there to badger a prospect into a meeting; it’s there to answer questions, provide resources, and guide users to the path of least resistance, even if that path is self-service. Because it’s connected to the same unified customer profile, Isa can see where a user is in their journey and offer relevant help. This approach also solves one of the most persistent, if minor, indignities of modern marketing: the “no-reply” email. By having an AI agent capable of managing inbound replies, every communication becomes an open door for conversation. The business impact is staggering—a 200% productivity improvement for their digital sales team, who now receive leads that are truly qualified and ready to talk. The AI agent handles the initial qualification and nurturing with infinite patience and kindness, freeing up humans to do what they do best: build strategic relationships.
The work being done at Twilio and other forward-thinking organizations signals a fundamental change in the role of marketing. We are moving from being managers of a linear process to being orchestrators of a dynamic, data-driven ecosystem. The goal is no longer to push customers through a funnel but to build an intelligent system that senses and responds to their needs at every turn. This requires us to be technologists and data scientists as much as we are brand storytellers. The tools and the data are finally catching up to the vision of true one-to-one marketing at scale.
As we look ahead, the competitive advantage will not go to the companies that simply adopt AI, but to those who feed it with the best, most comprehensive, and real-time customer context. As Thompson wisely noted, the conversation is shifting from, “Are you using AI?” to “How good is your customer data?” That is the question every marketing leader should be asking. The companies that can answer it with confidence, backed by a unified data foundation and an intelligent activation layer, will not only survive but thrive. They will be the ones who build more meaningful relationships, drive more revenue, and ultimately, earn the loyalty of their customers.
