Ways To Measure Customer Satisfaction In Omnichannel Support

Surveys can serve an important purpose. We should use them to fill holes in our understanding of the customer experience or build better models with the customer data we have. As surveys tell you what customers explicitly choose to share, you should not be using them to measure the experience. Surveys are also inherently reactive, surface level, and increasingly ignored by customers who are overwhelmed by feedback requests. This is fact. There’s a different way. Some CX leaders understand that the most critical insights come from sources customers don’t even realize they’re providing from the “exhaust” of every day life with your brand. Real-time digital behavior, social listening, conversational analytics, and predictive modeling deliver insights that surveys alone never will. Voice and sentiment analytics, for example, go beyond simply reading customer comments. They reveal how customers genuinely feel by analyzing tone, frustration, or intent embedded within interactions. Behavioral analytics, meanwhile, uncover friction points by tracking real customer actions across websites or apps, highlighting issues users might never explicitly complain about. Predictive analytics are also becoming essential for modern CX strategies. They anticipate customer needs, allowing businesses to proactively address potential churn, rather than merely reacting after the fact. The capability can also help you maximize revenue in the experiences you are delivering (a use case not discussed often enough). The most forward-looking CX teams today are blending traditional feedback with these deeper, proactive techniques, creating a comprehensive view of their customers. If you’re just beginning to move beyond a survey-only approach, prioritizing these more advanced methods will help ensure your insights are not only deeper but actionable in real time. Surveys aren’t dead (much to my chagrin), but relying solely on them means leaving crucial insights behind. While many enterprises have moved beyond surveys, the majority are still overly reliant on them. And when you get to mid-market or small businesses? The survey slapping gets exponentially worse. Now is the time to start looking beyond the questionnaire and your Likert scales. The email survey is slowly becoming digital dust. And the capabilities to get you there are readily available. How are you evolving your customer listening strategy beyond traditional surveys? #customerexperience #cxstrategy #customerinsights #surveys

The MOST critical metric you can use to measure customer satisfaction: (This changed everything for my company) We had a daily deal site with 2 million users. Sounds great, right? But about 18 months in we had a massive problem: → Customer satisfaction was TANKING (we were in the daily-deals business, largest Groupon competitor) Why? Our customers weren't getting the same experience as full-paying customers. They were treated as “coupon buyers”, so they: - Had long wait-times - Didn't get the same food - Got given the cr*ppy tables at the back They went for the full service and they got very low-quality service. And it was KILLING our business model. We tried everything - customer service calls, merchant meetings, forums. Nothing worked. Then I learned about NPS (Net Promoter Score) at EO and MIT Masters. It was an ABSOLUTE revelation. NPS isn't a boring survey asking "How happy are you with our service?" It's way more powerful. It asks, on a simple scale of 0-10: → "How likely are you to recommend this service to a friend or colleague?" 10-9 → Promoters (Nice!) 8-7 → Passive (no need to do anything) 6-0 → Detractors (fix this NOW) It’s such a simple shift on our end and so easy to respond on the customer end: “Hey, would you recommend me or not, out of 10?” “Hm, 7.” “Ok, thank you” — that’s it. Simple reframe, massive impact. We implemented it immediately. But here's the real gold: → We contacted everyone (one-on-one customer service) who used our service and provided a NPS score. They scored us less than 6? - Give them gift cards - Interview them to make them feel heard - Do ANYTHING to flip detractors into promoters Because if they’re scoring you less than 6, they’re actually HARMING your business. These are going to be like e-brakes in your company. NPS became our most important metric, integrated into everything we did. The results? - Improved customer satisfaction - Increased repeat business and customer LTV - Lower CAC (because happy customers = free marketing) - Higher AOV (people were willing to spend more) But it's not just about the numbers. It's about understanding WHY people aren't recommending you and fixing it fast. (Another great feature is that people can also add comments to get some real feedback, but just using the number is POWERFUL). If you're not using NPS, stop what you're doing and implement it tonight. Seriously. And if you are already using it? Double down on those 0-6 scores. Turning your detractors into promoters is where the real growth potential lies. Remember: in business, what gets measured gets managed. And NPS is the ultimate measure of how satisfied your customers REALLY are. So, what's your score? — Found value in this? Repost ♻️ to share to your network and follow Ignacio Carcavallo for more like this!

𝗧𝗵𝗲 𝘁𝗿𝘂𝘁𝗵 𝗮𝗯𝗼𝘂𝘁 𝗩𝗼𝗶𝗰𝗲 𝗼𝗳 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿? It’s broken. Not because customers stopped speaking, but because brands stopped listening like it mattered. Surveys. Scores. Dashboards. 𝗧𝗵𝗮𝘁’𝘀 𝗻𝗼𝘁 𝗹𝗶𝘀𝘁𝗲𝗻𝗶𝗻𝗴. That’s forced interaction. The modern customer isn’t waiting to be surveyed. They’re 𝘭𝘦𝘢𝘷𝘪𝘯𝘨 𝘴𝘪𝘨𝘯𝘢𝘭𝘴 𝘦𝘷𝘦𝘳𝘺𝘸𝘩𝘦𝘳𝘦 - in chats, returns, reviews, support tickets, SMS threads, order cancellations, product reconfigurations, social media, dark social (Reddit, Discord, etc) But most “VoC programs” are still stuck chasing NPS trends while the business burns. Modern Voice of Customer = 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗦𝗶𝗴𝗻𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 It’s not about asking questions. It’s about 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗶𝗻𝗴 𝗮 𝘀𝘆𝘀𝘁𝗲𝗺 that 𝘢𝘣𝘴𝘰𝘳𝘣𝘴 𝘴𝘪𝘨𝘯𝘢𝘭, connects it to business outcomes, and triggers action. What You Should Be Measuring Instead: ✅ % 𝗔𝗰𝘁𝗶𝗼𝗻𝗮𝗯𝗹𝗲 𝗦𝗶𝗴𝗻𝗮𝗹𝘀 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝗶𝗲𝗱 - How much of your incoming feedback actually maps to a real friction point, journey stage, or operational failure? ✅ % 𝗦𝗶𝗴𝗻𝗮𝗹𝘀 𝗧𝗶𝗲𝗱 𝘁𝗼 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗺𝗽𝗮𝗰𝘁 - How many of those signals correlate with churn, CLV drop, conversion loss, or increased cost-to-serve? ✅ 𝗖𝗼𝗻𝘁𝗲𝘅𝘁𝘂𝗮𝗹 𝗦𝗲𝗻𝘁𝗶𝗺𝗲𝗻𝘁 (𝗡𝗼𝘁 𝗝𝘂𝘀𝘁 𝗮 𝗦𝗰𝗼𝗿𝗲) - Not “61% negative.” But: “61% 𝘯𝘦𝘨𝘢𝘵𝘪𝘷𝘦 𝘴𝘦𝘯𝘵𝘪𝘮𝘦𝘯𝘵 𝘢𝘳𝘰𝘶𝘯𝘥 𝘥𝘦𝘭𝘪𝘷𝘦𝘳𝘺 𝘴𝘱𝘦𝘦𝘥 𝘵𝘳𝘢𝘯𝘴𝘱𝘢𝘳𝘦𝘯𝘤𝘺.” “78% 𝘱𝘰𝘴𝘪𝘵𝘪𝘷𝘦 𝘴𝘦𝘯𝘵𝘪𝘮𝘦𝘯𝘵 𝘰𝘯 𝘱𝘰𝘴𝘵-𝘱𝘶𝘳𝘤𝘩𝘢𝘴𝘦 𝘴𝘶𝘱𝘱𝘰𝘳𝘵.” That tells a story. That’s signal intelligence. ✅ 𝗦𝗶𝗴𝗻𝗮𝗹 𝗩𝗲𝗹𝗼𝗰𝗶𝘁𝘆 - What’s emerging fast? What’s fading out? Velocity = your 𝘦𝘢𝘳𝘭𝘺 𝘸𝘢𝘳𝘯𝘪𝘯𝘨 𝘳𝘢𝘥𝘢𝘳. ✅ 𝗙𝗿𝗶𝗰𝘁𝗶𝗼𝗻 𝗙𝗮𝘁𝗶𝗴𝘂𝗲 𝗦𝗰𝗼𝗿𝗲 How often is the same friction mentioned with no resolution? High friction fatigue = 𝗹𝗼𝘀𝘁 𝘁𝗿𝘂𝘀𝘁. Your brand becomes a broken record and customers stop playing. CX isn't a function of feedback. It’s a function of 𝘀𝗶𝗴𝗻𝗮𝗹 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲. You don’t need another dashboard. You need a listening architecture that fuels performance. That’s Experience Signal Intelligence. #UnfckYourCX #ExperiencePerformanceSystem  #ExperienceDesign #SignalIntelligence #CLV #VoC #NPS #surveys