Leader InterviewsMarTech Platforms & Strategy
Patricia Kendall on AI, Personalization and the Future of Customer Engagement
Article content
1. A Journey Shaped by Data and Customer Insights
Your career spans more than two decades across digital marketing, analytics, consulting, and value engineering. Looking back, what experiences have most influenced your perspective on customer engagement, business growth, and the role of data in decision-making?
A:
Over the past two decades, my journey has taught me one undeniable truth: data without execution is just noise.
Early in my career, the focus was often on accumulation - how much data could we track? But the experiences that truly shaped my perspective were the ones where we shifted from looking at rows in a spreadsheet to understanding the human being behind the screen. I realized that business growth isn't driven by the sheer volume of data, but by the speed and accuracy with which you can turn that data into a meaningful, well-timed customer experience. Value engineering solidified this for me by proving that when you align a company's technology capabilities directly with the customer’s actual needs, measurable business growth follows naturally.
2. Why Iterable, Why Now?
As Principal Value Consultant at Iterable, you work at the intersection of customer engagement, technology, and business outcomes. What attracted you to Iterable, and what aspects of the company's vision resonated most strongly with you?
A:
What drew me to Iterable, and what keeps me inspired, is the company's absolute commitment to tearing down the walls between data and action.
Too often, brilliant marketing ideas die in the gap between data and the execution. Iterable’s vision eliminates that friction. The platform was built from the ground up to handle massive, real-time data ingestion and translate it into cross-channel magic. Iterable is also well positioned to help marketers in the composable stack era with our integration offerings. This allows marketers to act on their data in near real-time. In today’s fast-paced market, the ability to deliver joy and utility to a customer in the exact moment it matters is the ultimate competitive advantage. Iterable makes that possible at an unprecedented scale, and that is a vision I am incredibly proud to champion.
3. The Evolution of Customer Engagement
Customer expectations have changed dramatically over the last decade. From your perspective, what are the most significant shifts in how brands build relationships with customers, and what must organizations do today to remain relevant and trusted?
A:
The biggest shift we’ve seen over the last decade and even more quickly in the last year with AI is the death of the "broadcast" mentality.
Customers no longer tolerate being generic targets in a mass marketing blast. They expect brands to know them, remember them, and anticipate their needs across every single touchpoint.
Today, relevance is the baseline, but trust is the ultimate currency. To remain relevant and trusted, organizations must move away from transactional, siloed interactions and focus on building lifecycle relationships. This means respecting customer data, ensuring privacy, and using the signals customers give you to actually improve their experience, not just hit your short-term sales targets. If you use data to add value to their lives, trust follows.
4. Delivering Connected Customer Experiences at Scale
Iterable helps brands create personalized, cross-channel customer experiences. What are the biggest challenges organizations face when trying to deliver truly connected customer journeys, and how is technology helping marketers overcome those barriers?
A:
The biggest hurdle organizations face isn’t a lack of tools; its data fragmentation and organization silos. Marketers often deal with a tangled web of legacy systems where mobile data doesn’t talk to email data which doesn’t talk to in-store purchase data. The result is a fractured and frustrating experience for the customer. Technology, especially with new AI capabilities are fixing this fractured experience and allowing marketers to focus on strategy as opposed to stitching data together for campaign execution.
5. Turning Data into Measurable Business Value
Many organizations have access to vast amounts of customer data, yet struggle to translate insights into business outcomes. What separates companies that successfully leverage data for growth from those that simply collect information without realizing its full potential?
A:
The dividing line between companies that successfully leverage data and those that just collect it comes down to actionability and alignment.
Data-rich but insight-poor companies treat data collection as a checkbox exercise. Conversely, value-driven companies focus on "data activation." They have a clear framework that connects a data point to a specific customer behavior, which triggers a specific business outcome. They don't just ask, "What data do we have?" They ask, "What customer pain point can we solve with this data today?" Success belongs to organizations that build a culture where data is democratized, allowing marketing teams to experiment, measure, and iterate in real-time.
6. The Growing Role of AI in Customer Engagement
Artificial intelligence is rapidly transforming the way brands interact with customers. How do you see AI reshaping personalization, customer experiences, and marketing effectiveness over the next few years, and where should organizations focus their investments?
A:
AI is shifting from a futuristic buzzword to the operational engine of modern marketing.
Over the next few years, I see AI completely redefining personalization by moving us from reactive personalization (segmenting based on past behavior) to predictive personalization (anticipating what a customer needs next).
AI will optimize everything from send times and channel selection to generating highly tailored creative content at a scale humans simply cannot match but the marketer will be the one directing the AI as their strategic partner. Organizations should focus their investments on AI capabilities that augment human creativity rather than replace it. Look for embedded AI tools that help your team surface hidden insights, automate routine optimizations, and scale personalized experiences effortlessly.
7. Building Business Cases in an Era of Technology Transformation
In your role, you help organizations understand and quantify the value of technology investments. What are business leaders looking for when evaluating customer engagement platforms today, and how has the conversation around ROI and value creation evolved?
A:
The conversation around ROI has matured significantly. Business leaders are no longer satisfied with vague metrics like "increased engagement" or "higher open rates." Today, C-suite executives want to see a direct line between technology investments and core business KPIs - like customer lifetime value (LTV), retention rates, and reduction in churn.
8. Looking Ahead: The Next Frontier
As you look toward the future, what major trends do you believe will define the next generation of customer engagement, and how is Iterable positioning itself to help organizations navigate this rapidly evolving landscape?
A:
As we look to the future, the next frontier will be defined by harmonized, real-time ecosystem integration built off a composable stack. The lines between marketing, product, and customer service will blur into a singular, ongoing customer experience. At Iterable in the past year alone we delivered 50 releases, all designed to help marketing teams move faster and drive performance.
About Patricia Kendall
Patricia Kendall has over 20 years of experience in the MarTech space. She helps companies unlock maximum value from their MarTech investments by building the human skills required to thrive in an AI-first world. With deep expertise in value consulting, they partner with marketing and growth teams to translate complex technology into clear business outcomes—driving efficiency, elevating customer experiences, and accelerating revenue. She focuses on strengthening the leadership, collaboration, and problem-solving capabilities organizations need to adopt AI confidently and realize the full potential of their digital ecosystem.
About Iterable
Iterable is the AI customer engagement platform built for enterprise scale, loved by teams, and trusted by global brands.