Peloton, once synonymous with “the Bike,” has evolved into something far bigger: an ecosystem of connected fitness products, premium content, and a global community of millions. But as Spring reminded the audience, growth doesn’t just test your business model; it tests your ability to support, empower, and elevate every single member along the way.

When Success Outpaces Structure

Rewind just a couple of years. Peloton was riding a wave of demand that few companies ever experience. However, with that success came turbulence: overstocked accessories, scattered middle-mile logistics, service and repair gaps, and a global support structure that was stretched too thin.

In Spring’s words, Peloton had “disproportionate capacity and inefficiently staffed global support.” In other words, the model that got them here wouldn’t get them there.

Building the Foundation for Member Excellence

What followed was a deliberate reset. In 2022, Peloton rebalanced its operations. In 2023, the team streamlined its BPO footprint, introduced Salesforce, and initiated a company-wide upskilling initiative. By 2024, they were operating with just two BPOs—98 percent of support now U.S.-based—while training “universal agents” capable of handling membership, order experience, and technical service with equal fluency.

That shift wasn’t about cost-cutting. It was about creating a foundation where every member’s touchpoint felt seamless and trusted.

Technology That Works for Humans

Spring emphasized that technology should never be a barrier between a member and their goal. It should clear the path. That’s why Peloton transitioned to AWS for its phone system, integrated Service Cloud Voice, and deployed Agent Assist to help frontline staff classify cases, recommend replies, and generate summaries.

The result: agents aren’t bogged down in process, they’re freed up to be human. And members get what they came for: support that is fast, personal, and aligned with their fitness journey.

From Contact Center to Concierge

One of the most compelling moments of Spring’s keynote was her description of two new programs redefining the member experience.

• Social Care: A team that proactively engages with members on platforms like Facebook and Instagram, meeting them where they already are.
• Human Concierge: A pilot program offering new members a dedicated guide during their first 90 days, ensuring they feel supported, celebrated, and connected

These aren’t just initiatives. They’re a philosophy that member support isn’t about handling problems; it’s about creating a sense of belonging.

Data as Culture, Not Just Metrics

Under Spring’s leadership, Peloton also began building a stronger data culture. Weekly performance visibility and clear metrics gave her teams not just numbers to chase, but stories to tell, including how their work translated into efficiency, loyalty, and long-term engagement.

Data-driven decision making wasn’t a line item in a presentation. It became a way of seeing, much like Peloton teaches its riders to measure cadence, resistance, and output.

The Leadership Question

Spring’s keynote left the room buzzing with a question: Are we as CX leaders designing support that solves issues, or are we designing support that elevates the entire customer journey?

Because Peloton’s story is more than a case study in operational turnaround, it’s proof that CX leaders can transform turbulence into trust, scale into service, and, most importantly, transactions into relationships.

A special thank you to Dawn and the entire Peloton team for sharing their insights and leadership with us at the Customer Response Summit. Your dedication to innovation, service, and human connection continues to set the standard for the CX industry. We appreciate your time, expertise, and the inspiration you brought to the stage!

The post Elevating the Ride at Peloton appeared first on Execs In The Know.

The discussion highlighted a critical challenge: when customer data is fragmented, outdated, or inconsistent, CX teams struggle to deliver seamless interactions. One of the biggest takeaways? Your customer experience is only as good as the data behind it.

• Call center agents face incomplete or conflicting customer profiles, leading to long handle times, frustrated customers, and unnecessary discounts to smooth over bad experiences.
• AI-powered automation falls short when it’s fed incorrect data, causing chatbots and self-service portals to deliver irrelevant or misleading responses.
• Loyalty programs and marketing campaigns miss their mark because duplicate or outdated records prevent brands from recognizing their best customers.

But as Princess Cruises showed, fixing data issues isn’t just about avoiding frustration—it’s also about unlocking millions in ROI.

How Princess Cruises Transformed Their Guest Experience

One of the most compelling stories at CRS came from Princess Cruises, a brand known for delivering world-class guest experiences. However, behind the scenes, disconnected systems and messy data were creating major CX challenges:

• Call center agents struggled to pull up complete guest profiles, leading to longer call times and inconsistent service.
• Outdated or duplicate records made it difficult to recognize loyal guests, impacting upsell opportunities.
• Manual data clean-up processes were time-consuming and costly.

By implementing harpin AI, Princess Cruises achieved:

• Faster, more efficient customer service—agents could instantly access accurate guest profiles.
• Increased revenue opportunities—loyal guests were correctly identified and engaged with relevant offers.
• Significant cost savings—by eliminating the need for manual data reconciliation, freeing up resources for higher-value tasks.

And the best part? They didn’t have to replace their existing CRM, CDP, or other systems. harpin AI seamlessly integrated into their tech stack, enhancing every tool they already had.

Fix Your Data. Fix Your Customer Experience.

If bad data is holding your CX team back, AI and automation alone won’t fix it—they can only work as well as the information they’re given. That’s why harpin AI goes beyond data storage to observe, resolve, answer, and activate customer data:

Observe: Data issues don’t announce themselves—but they’re undermining CX behind the scenes. Observe continuously scans customer, transaction, and asset data, pinpointing inconsistencies, gaps, and anomalies before they cause problems. It’s more than just error detection—teams get real-time insights into data health, automated alerts, and performance tracking, all within the tools they already use. Instead of waiting until bad data impacts customer experience, brands can stay ahead of issues and optimize their operations proactively.

Resolve: Storing data isn’t the same as fixing it. CRMs, CDPs, and data warehouses might hold valuable customer information, but they won’t untangle duplicate records, reconcile mismatched identities, or update outdated details on their own. And when data is unreliable, the impact is huge:

• Call centers struggle with fragmented customer profiles, dragging out resolution times.
• Marketing teams waste spend on campaigns aimed at the wrong people.
• Loyalty programs fail to engage VIP customers because their profiles are incomplete.

Resolve connects and corrects data across systems in real time, ensuring every system—whether it’s for CX, automation, or analytics—runs on clean, trusted information.

Answer: When you need to make a business decision, you don’t have time to dig through dashboards. Answers lets teams ask direct questions—like “Which customers churned after a product change?” or “Where are we losing the most revenue?”—and get an immediate, clear response. No SQL, no waiting on analysts—just fast, actionable insights that help drive better decisions.

Activate: Once data is normalized and insights are unlocked, the next step is making it work where it matters. harpin AI embeds trusted data into existing systems, ensuring that automation, analytics, and AI tools actually perform as expected. That means:

• AI-powered chatbots and virtual assistants operate on accurate customer details.
• Embedded insights flow seamlessly into Slack, Teams, and other collaboration tools.
• Proactive monitoring surfaces potential data risks before they create CX headaches.
• Seamless integrations ensure CRM, CDP, and automation tools work together without disruption.

With harpin AI, businesses can:

• Deliver faster, more personalized service by ensuring agents and AI have the right customer information at their fingertips.
• Maximize AI-driven automation ROI by eliminating data inconsistencies that cause errors.
• Boost revenue from loyalty and marketing programs by accurately recognizing and rewarding customers.
• Reduce operational costs by eliminating inefficient manual data reconciliation.

It’s not about adding more technology—it’s about making existing investments actually work.

Want to see how better customer data can transform your CX? Schedule a meeting with a harpin AI expert to discuss your challenges and explore solutions.

Contributed blog post written by harpin AI.

The post Data Problems Aren’t Just Annoying—They’re Expensive appeared first on Execs In The Know.

But here’s the harsh truth: none of it works if your data is bad.

Think about your current CX strategy. You want:

• Faster resolutions and higher first-call resolution rates
• Personalized interactions that make customers feel valued
• AI-powered chatbots and automation that deliver relevant, timely responses

Yet, time and time again, data gets in the way.

• Agents waste valuable minutes chasing down customer information scattered across multiple systems.
• Loyalty programs fail to recognize VIP customers because of duplicate or incomplete records.
• AI-powered chatbots frustrate users with incorrect or irrelevant responses.
• “Personalization” often feels random because the underlying data is messy and unreliable.

Why Bad Data Is the Silent Killer of CX

Every interaction with a customer relies on data—who they are, their history with your brand, their preferences, and their current needs. But if that data is incomplete, outdated, or duplicated, every touchpoint suffers.

Bad data leads to:

• Higher operational costs: Call center agents waste time navigating multiple systems just to verify basic customer details.
• Frustrated customers: Customers who have to repeat themselves or deal with incorrect responses are more likely to churn. Worse, to compensate for their frustration, your team is forced to hand out unnecessary discounts, credits, or refunds—eating into your margins. Instead of creating loyalty, you’re paying for preventable mistakes caused by bad data.
• Missed revenue opportunities: If your systems don’t recognize customers accurately, you can’t deliver timely upsell and cross-sell offers.
• AI failures: Even the best AI models can’t function properly if they’re fed incorrect or incomplete data.

AI Can’t Save You From Bad Data—But harpin AI Can

Investing in AI won’t solve your data problems—it will only make them more obvious. AI models are only as good as the data they rely on. If your data is fragmented, outdated, or full of duplicates, your AI-powered initiatives will fall flat.

That’s where harpin AI changes the game.

Unlike traditional CRM and CDP systems that simply store data, harpin AI validates, refines, and activates it—ensuring every system, agent, and AI model works with trustworthy, accurate, and complete customer information.

Here’s what that looks like in action:

Call centers see reduced handle times because agents have real-time, accurate customer profiles at their fingertips.

AI-driven service automation actually delivers the right responses because it’s powered by verified, trustworthy data.

Loyalty programs recognize customers instantly, preventing duplicate accounts and missed rewards.

Marketing, operations, and support teams finally trust their data, eliminating the guesswork and inefficiencies that slow down CX.

Meet harpin AI at Customer Response Summit

At Customer Response Summit, we’ll be showcasing real-world success stories from leading brands like Princess Cruises.

Join us to learn how reliable, structured, and validated data can be the foundation for a better customer experience, lower operational costs, and higher revenue.

Want to connect at CRS? Let’s talk. Or visit harpin.ai to learn more.

The post Customer Experience Runs on Data—But Can You Trust Yours? appeared first on Execs In The Know.