Loyalty Programs Missing Out on Zero-Party Data

Think AI-driven insights are just buzz? Think again. Personalizing your customer interactions with AI boosts satisfaction and slashes churn. The future of retention is smart, tailored, and data-driven.

What happens to loyalty when AI agents begin making customer decisions based on preferences they can “set and forget”? In an agent-to-agent world, loyalty will compete on relevance, trust, and what a customer’s system chooses to elevate--or resolve invisibly. Interesting read on how loyalty must adapt, as intelligence moves beyond screens and into everyday life... https://lnkd.in/gMxfySsh

By resolving root causes of customer issues first, we lifted CSAT scores and unlocked higher cross‑selling acceptance rates, and "if done today," I would enhance this model with AI‑powered call analytics, sentiment detection, and automated resolution tools to scale trust‑building and sales conversion.

🔍 Customer data that drives decisions. AI analyses interaction history, purchase patterns, and engagement levels—identifying upsell opportunities and retention risks. Maximise lifetime value: https://lnkd.in/eEmXj6qg #CustomerIntelligence #DataDriven #AIinBusiness

AI in customer support isn’t about replacing humans — it’s about balance. Across 20+ ecommerce brands, the highest CSAT scores came from teams using AI to resolve 10–15% of tickets. Push automation past 20% and customer satisfaction drops. The model that actually works? Let AI handle predictable tasks. Let humans handle nuance. If you’re scaling CX in 2026, this is the framework to follow: https://hubs.la/Q045vcGG0

AI Won’t Save a Broken Customer Experience AI won’t fix inconsistent messaging. It won’t fix customer frustration. Those issues come from disconnected systems and uncoordinated vendors. Clean, unified data is what brings consistency back into the picture. This came up repeatedly in dealer conversations after my article was published. If you are looking for a solution check out my article and give me a call. https://lnkd.in/ehpcaDtY

When using AI for customer success it's tempting to optimize for token cost. But the real bill shows up elsewhere: - Slower replies → users abandon self-serve and open tickets - Weaker reasoning → more back-and-forth, longer handle times - Lower accuracy → trust erodes,

Customer communication has evolved. We use AI to make our responses clearer and sharper. The customer might also be using AI to draft their follow-ups. And yet the same question finds its way back… just with better grammar!

[The 1-Star Opportunity: Flipping the Script on Bad Feedback] Panicking over a 1-star review? Don't run from it! Data shows that a staggering 82% of shoppers actively seek out negative reviews before making a purchase. A less-than-perfect rating actually proves to buyers that your reviews are authentic. This guide breaks down the 3 most common types of negative reviewers and provides 6 "Golden Rules of Reputation Recovery" (including the 24-hour response window and why you should never pay to remove bad reviews). Want to win customer trust in the AI era? Click to discover how Repuba's all-in-one reputation management platform can turn every complaint into your most powerful customer acquisition engine! https://reurl.cc/V2jRDA

Fortnum & Mason, the legendary London retailer, is using Zendesk to elevate customer service across channels, while keeping interactions personal and on brand. The results? 💬 90% drop in live chat processing time ⏱️ 75% decrease in average handle time 🎯 91% AI understanding rate “I love that the AI really understands the tone and context of customer inquiries. It knows when to escalate a ticket to a live agent—that way, our agents can really focus on customers with more complex interactions.” — Rhonda Floyd, Head of Customer Success, Fortnum & Mason A good reminder that AI works best when it supports people, freeing teams up to focus on the more nuanced, high‑care conversations. 👉 Read the full story: https://zdsk.co/413eLqB