Customerland

If you’ve felt the creep of “good enough” in your marketing, you’re not imagining it. We dig into why plausible outputs are everywhere, how AI accelerates the trend, and what it takes to compete on strategic value when leaders only lean in for metrics tied to money. With Andrew Schulkind of Andigo, we get candid about the gap between process metrics and business metrics, the lure of “ornamentrics,” and the practical steps that reconnect campaigns to revenue, profitability, and customer outcomes.

We start where most frameworks gloss over: defining audience segments through real conversations. Not just with sales and success, but with product teams, long-term customers, and the ones who churned. Those insights expose the pains people actually feel and the outcomes they will pay to achieve. From there, we show how to use both fear and aspiration responsibly: articulate the problem that causes daytime heartburn, paint the future state buyers want, and keep your message grounded in what they value rather than what you want to sell.

Then we turn strategy into motion. You’ll hear a simple nurture cadence built around three core pains and three matching outcomes, each email carrying proof, a useful resource, and a micro-CTA that reveals intent. Track those signals, learn which messages trigger movement, and tie engagement to pipeline and revenue instead of vanity stats. We also talk frankly about when to step on implementation to protect strategic value and how to leverage AI without losing customer proximity.

If you’re ready to trade shiny metrics for meaningful results, this conversation gives you a clear path forward and tools you can use this week. Enjoy the episode, share it with a teammate who’s buried in dashboards, and if it helps you reframe your plan, subscribe and leave a review so others can find it too.

Think your customers are loyal? Our data-backed dive suggests otherwise. We sit down with Cardlytics to unpack why non-loyal shoppers often deliver outsized gains and how commerce media—powered by first-party transaction data—can transform media spend into measurable loyalty. From banks to retailers to CPGs, we trace how card-linked offers (CLO) connect incentives to outcomes and deliver immediate consumer value alongside certified incrementality.

We explore how category-level visibility changes everything. A shopper who looks loyal in your CRM might be splitting most of their wallet with competitors. With insights drawn from trillions in annual spend, Cardlytics shows how to spot those leaks, build audiences around real switching behavior, and target them with relevant, timely offers. The results are hard to ignore: higher average tickets, more repeat visits, and a proven path to iROAS that stands up to third-party validation.

Then we look forward. SKU-level targeting lets a brand drive a specific product through a specific retailer, closing the loop from exposure to receipt. Agentic buying is on the horizon, where AI shopping agents will hunt for value across channels. Cardlytics’ position—integrated with banks, merchants, and identity—acts like rails for this future, enabling offers to flow to both humans and agents in ways that are privacy-safe and performance-driven. Along the way, we dig into the unglamorous but essential work of data hygiene, merchant normalization, and building a modern tech stack that makes these outcomes possible.

If you’re rethinking loyalty, measurement, and where your next dollar of growth comes from, you’ll find practical guidance here: focus on non-loyal shoppers, pair CLO with clean identity, validate incrementality, and treat loyalty as a revenue center. Subscribe for more conversations at the edge of data, commerce media, and customer growth, and leave a review to tell us the next question you want answered.

The customer isn’t just human anymore. Agents are already learning our preferences, comparing offers, and making choices that used to hinge on emotion and brand memory. We sat down with Ben Wiener, global head at Cognizant Moment, to unpack how this rewires the entire go-to-market stack—from data foundations to creative expression—and why marketing plus IT has effectively become the business.

We dig into the real preparation work: consolidating and governing data so AI can act responsibly and effectively. Ben breaks down how organizations can fund the future by letting AI handle code cleanup, content migration, and workflow orchestration, then reinvest those savings into agent-ready experiences. We explore the move from omnichannel to omnibuyer, where humans, agentic buyers, and AI-assisted shoppers take nonlinear paths and demand different signals of value. That triggers hard questions about personalization, privacy, and compliance, especially in finance and healthcare, where trust is the currency.

What happens to preference when machines choose? We examine whether platforms, brands, or consumers will own the agent; how pay-for-preference could influence ranking; and why transparency standards will make or break adoption. Ben makes the case for brand-consistent AI personas that carry tone, empathy, and guardrails into machine-mediated interactions—like a great salesperson who’s consistent yet adaptive. Creativity doesn’t disappear; it scales. Relevance, speed, and ethics become the competitive layers that separate resilient brands from those left behind by algorithmic selection.

If you care about data strategy, customer experience, AI governance, and the future of brand loyalty, this conversation will sharpen your roadmap. Subscribe, share with a colleague who needs to hear it, and leave a review with your take: who should own the consumer agent—platforms, brands, or users?

Forget shiny tools. The real power in customer experience comes from simple, disciplined execution that customers actually feel: reliable delivery, fast issue resolution, and clear communication. We sit down with Lee Kemp, former VP of CX at Veritiv, to unpack how a military-forged mindset translates into practical CX leadership across supply chain, sales, IT, and finance. Lee explains why technology should only amplify a solid foundation, and how asking the right “obvious” questions can reframe stubborn assumptions without triggering defensiveness.

We walk through building metrics that matter, starting with familiar signals to align executives, then tying them to operational outcomes like on-time performance, order accuracy, first-contact resolution, and proactive updates. Lee shares a playbook for change management that avoids heroics: sponsor the right projects, let stakeholders own the wins, and keep the mission visible so teams see their role in the outcome. When resistance shows up, executive sponsorship becomes the accelerant, but staying power depends on delivering growth that leadership can see and trust.

ROI often trips teams up, so we break it down to credible indirect signals: reduced churn after onboarding fixes, higher repeat order rates with better communication, lower expedite costs from reliability gains, and faster cash through cleaner processes. Show your work, quantify trends, and be honest when something misses. That integrity builds influence for the next move. If you’re building CX in a complex B2B world—or trying to defend it to a skeptical CFO—this conversation offers practical steps to simplify, measure, and lead change that sticks. Subscribe, share with your team, and leave a review with your best “measure what matters” tip.

What if doing “the right thing for this customer, right now” became the default? We sit down with Rob Walker, VP of Decisioning and Analytics at Pega, to unpack how empathy at scale, AI-driven decisioning, and strong governance can make customer engagement both more human and more effective. Rob explains why empathy isn’t charity; it’s a system for earning relevance and trust that compounds into mutual value. We dive into one-to-one decisioning that prioritizes a hierarchy of needs—solve hardship and service first, consider offers only when appropriate—and how real-time redecisioning keeps conversations useful as context shifts. The conversation gets candid on hype vs. reality: generative AI is expanding the content library needed for true personalization, even demonstrating better bedside manner in some settings. But trust requires more than sentiment; it needs policy. Rob breaks down the T‑Switch, a transparency and model-use framework that enforces explainability where stakes are high and speeds experimentation where stakes are low. Then comes the big horizon shift: customer advocacy agents. These AI agents will comparison-shop, negotiate, and handle service on our behalf, impervious to glossy ads and tuned to our preferences. That future could disintermediate brands and push competition toward price, reliability, and fit—raising the bar for authenticity and interoperability. Inside the enterprise, tools like Pega’s Customer Engagement Blueprint compress months of strategy design into hours, changing roles rather than eliminating them. Marketers and data scientists move from manual assembly to orchestration, governance, and measurement, while empathy and trust become operational standards, not slogans. If you’re ready to trade segments and batch campaigns for moment-level decisions and measurable trust, this conversation is your fast start. Subscribe, share with a teammate who needs to hear it, and tell us: what would you ask your customer advocacy agent to do first?

Curiosity got faster—and a lot more practical. We sit down with Tim Lawton of SightX and Russell Evans of ZS to unpack a partnership that blends expert humans with integrated AI to rethink how insights teams generate ideas, validate concepts, and influence big bets. No bolt-ons, no buzzwords—just a clearer path from question to decision.

We start with the reality that researchers live under a microscope, then show how automation can remove the drudgery without losing the judgment that matters. Tim explains how SightX streamlines end-to-end survey workflows, analytics, and dashboards so small teams can do more with less. Russell shares why ZS sought a partner that treats AI as the core engine, not a layer, and how the combo is helping brands compress months of work into weeks while improving the odds of success.

You’ll hear a concrete CPG case where data-driven concept generation plus rapid, integrated validation shaved time and lifted purchase intent by 29% in a human-in-the-loop process. We break down what separates pilot purgatory from real adoption: leadership “air cover,” incentives that reward experimentation, and new roles that scan the market and align tools to strategy. We also get candid about risk, governance, and where AI belongs in the stack—use it where it accelerates insight and keeps humans focused on meaning and action.

We close with a sharp take on synthetic data: explore it for low-stakes ideation, but mine real, underused signals first—reviews, long-form social, and contact center data—when the decision matters. If you’re ready to scale consumer insights, speed up concept testing, and make better calls with AI you can trust, hit play and tell us where you want to move faster next. Subscribe, share with a teammate who needs air cover, and leave a review to help others find the conversation.

If “modernizing” sounds like a buzzword, this conversation turns it into a blueprint. We sit with retail veteran Art Sebastian to trace how a beloved convenience chain moved from hometown habits to a unified, omni-channel engine - without breaking trust or losing its core. The journey starts with customer truth and a clear-eyed data audit, then builds toward a single customer view that powers relevance across email, SMS, push, and in-app experiences. The result isn’t just more messages; it’s fewer blind spots, cleaner consent, and faster baskets.

We go inside the organics of change: how a brand creates a Digital Experience team from scratch, scales talent with a two-in-the-box model, and ultimately merges digital, media, PR, and e-commerce into one omni-channel group. Art shares why a customer data platform (CDP) is the spine of modern retail - making identity resolution, privacy compliance, segmentation, and retail media networks both possible and profitable. We also dig into Gen Z’s sharp expectations: personalization over platitudes, time saved over slogans, and social content that feels native rather than promotional.

Then we fast-forward into the AI era - predictive, generative, and agentic. You’ll hear practical wins retailers are already capturing (recommendations, send-time optimization, labor scheduling) and a candid look at what’s next as AI agents start coordinating across systems. The takeaway is both empowering and cautionary: IT skills will shift from vendor management to integration mastery, and leaders must defend critical thinking even as automation scales. If you’re steering a grocery, c-store, or retail brand through transformation, this is a roadmap you can actually use.

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Jack Myers, founder of the Myers Report and Media Village Education Foundation, takes us beyond the typical AI conversation into the profound human implications of artificial intelligence. Drawing from his book "The Tao of Leadership," Myers explores how agentic AI—autonomous systems that interpret goals, make decisions, and evolve in real-time—will fundamentally transform business operations and leadership dynamics.

"Agentic AI is fast becoming the mirror of the modern executive," Myers explains, describing how these systems will reflect leadership qualities with unprecedented transparency. Rather than replacing humans, these agents free people to focus on what they do uniquely well: creating, empathizing, imagining, and leading. But organizations must act quickly. The traditional innovation approach of methodical "bridge building" no longer works in the rapidly evolving AI landscape. Instead, Myers advocates "building portals"—immediate entry points for experiencing and learning from AI technologies directly.

Recent developments like the Modern Contextual Protocol (MCP) are accelerating this transformation, enabling AI systems to develop deeper contextual understanding. As these technologies mature, the gap between organizations embracing AI and those hesitating will widen dramatically. This creates not just operational divides but potentially new categories of "haves and have-nots" in terms of technological access and capability. Myers's advice to emerging professionals is unambiguous: avoid companies that aren't investing in AI and integrating it into workflows.

The conversation raises crucial questions about ethics, governance, and human qualities in leadership. How do we ensure AI systems incorporate empathy and ethical considerations? How must leaders evolve to balance technological capabilities with distinctly human qualities like emotional intelligence and creativity? Myers challenges us to consider these questions not as distant concerns but as immediate imperatives for anyone hoping to thrive in the AI-transformed business landscape of today and tomorrow.

Ever wondered why you abandon your shopping cart online? The answer might surprise you. According to Tarun Chandrasekhar, President and Chief Product Officer at Syndigo, "Customers don't abandon products, they abandon poor experiences." This simple yet profound insight cuts to the heart of today's commerce challenges.

The most jaw-dropping revelation from our conversation? Amazon generated more revenue from retail media and product sponsorships last year than from their entire AWS business. Let that sink in—a company whose cloud services dominate the market is making even more money from how products appear and are promoted on their platform. This seismic shift is reshaping the entire retail landscape, with Walmart and others racing to develop similar capabilities.

We dive deep into the $15 billion Product Experience Management (PXM) industry that connects the dots between multiple information layers in commerce. From supply chain to ERP systems to product data to customer experience, these previously siloed systems are now being integrated by digitally mature organizations seeking competitive advantage. For brands, success hinges on speed-to-market across multiple channels. For retailers, data accuracy prevents costly recalls and builds customer trust.

The COVID era dramatically changed the game—companies that once employed 15-20 people to manage product information now operate with teams of just four, while simultaneously juggling expanded responsibilities like managing media influencers and social platform syndication. This new reality demands smarter, more efficient systems.

As shopping behavior evolves from traditional search to AI-guided discovery, brands and retailers must adapt. The holy grail? Connecting rich product content with customer intelligence to create personalized experiences. It's a transformative time for commerce—exciting yet nerve-wracking, as Tarun describes it: "a 3D jigsaw puzzle we're building as we're free-falling from the sky."

Ready to rethink how your business approaches product data? Listen now to understand why product information has become your brand's first handshake with customers, and how getting it right might be the most important investment you make this year.

The strategic balance between technology investment and human touchpoints has never been more critical in customer experience. In this eye-opening conversation with Mario Matulich, CEO of Customer Management Practice and CCW, we uncover why so many well-intentioned CX initiatives fail during uncertain economic times.

Mario reveals the three drivers that truly matter to customers: personalization, ease, and speed—in that exact order. This hierarchy, backed by extensive research, provides a clear framework for making technology decisions that actually enhance loyalty rather than damaging it. The conversation explores why brands that maintain their CX investments during challenging periods emerge stronger, while those focused purely on cost-cutting often lose market share.

"If you're making technology investment decisions purely for cost savings, you will fail," warns Mario, highlighting the most common pitfall he observes across industries. Companies frequently replace frontline staff with self-service technology simultaneously, creating a perfect storm when that technology inevitably has flaws. When customers encounter issues and revert to traditional channels, they discover drastically reduced staffing—resulting in frustration and permanent damage to brand loyalty.

The discussion examines success stories from travel, hospitality, healthcare, and financial services sectors, where leaders like Delta, Hilton, Marriott, and Chase recognized economic challenges as opportunities to differentiate through superior customer experiences. Mario also previews the upcoming CCW Las Vegas event, bringing together over 250 solution providers and offering unparalleled networking and benchmarking opportunities.

Perhaps most compelling is Mario's observation about the future of corporate leadership: many of tomorrow's executives are today's contact center agents, developing uniquely valuable skillsets at the intersection of human empathy and technological transformation. For anyone navigating CX decisions in uncertain times, this conversation provides both strategic clarity and practical guidance.

Subscribe to Customer Land for more insights on creating exceptional customer experiences that drive loyalty even during challenging economic conditions.