Using Voice Data for Market Analysis

Customer conversations are full of signals. The trick is knowing where to look. Voice data gives teams a clearer view into what customers need and how they’re feeling. When you can spot patterns in those conversations, it gets a lot easier to respond faster, coach more effectively, and deliver a more consistent experience. Here are three insights we’ve seen really move the needle for our customers: 🔹 Why customers are calling: Understanding common call drivers helps you anticipate needs, improve self-service, and reduce repeat issues. 🔹 Which moments carry risk: Things like escalations, interruptions, or sudden tone shifts can point to where customers might be getting stuck or frustrated. 🔹 Where to focus coaching efforts: Voice data can highlight exactly where reps need support, whether it’s navigating objections, adjusting tone, or wrapping things up with confidence. If you had a clearer view into your voice data, what insights would you want to uncover first?

B2B has a brand measurement advantage over B2C marketers. We just haven’t been using it to its full potential, and I don’t know why. Here's one things I've loved learning over the past 8 years in my role. I can hear on calls when someone has been familiar with our brand, I can hear why they reached out, and I can listen for tells that indicate what other agencies they've talked to. B2B should be leveraging call data more to learn about their brand and how they are being perceived. In consumer markets, you need surveys, focus groups, and social listening to get a read on brand perception. In B2B, we get something far more valuable: direct conversations with prospects and customers, every single day. Think about it: 📞 Account manager catch-ups reveal how customers are discovering and adopting new features. 📞 Sales calls uncover how prospects first heard about you, what sparked their interest, and who they’re comparing you to. This is brand intelligence that comes straight from the source. And now, with AI, we can scale it: 🎧 Transcribe and analyze hundreds (or thousands) of calls. 🎧 Detect sentiment shifts over time. 🎧 Spot the words, competitors, and triggers that signal brand strength (or weakness). Real examples of what’s possible: ☎️ Listen to call transcriptions to see if prospects and customers are talking about your branded products and terms. ☎️ Understand if they’re asking for things unique to you—or unique to your competitors. ☎️ Recently launched a brand initiative? See if they’re using the language your campaign focused on. We can analyze these calls to get brand sentiment, track brand lift, and capture feedback... without running a single extra survey. This is one area in research and insights where GTM engineering can compress product marketing cycles and turn what used to be qualitative data into quantitative.

🛑 𝗗𝗼𝗻’𝘁 𝗙𝗹𝘆 𝗕𝗹𝗶𝗻𝗱: 𝗨𝘀𝗲 𝗔𝗜 𝘁𝗼 𝗞𝗻𝗼𝘄 𝗬𝗼𝘂𝗿 𝗖𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 Having trouble keeping pace with your customers' desires and needs? If you're not leveraging real-time data on customer behavior and preferences, you're essentially flying blind. 💥 This lack of insight can cripple your marketing and sales efforts, leading to ineffective customer engagements and stunted sales growth. Here’s where Voice AI steps in as a powerful ally: ❇️ Real-Time Data Collection: Implement Voice AI to engage with customers directly. This technology collects essential data on preferences, concerns, and feedback as the conversation happens. ❇️ Instant Feedback Loop: Set up your Voice AI to provide real-time feedback to your marketing and sales teams. This means they can pivot and adjust strategies instantly, enhancing the effectiveness of your campaigns on the fly. ❇️ Real-Time Alert System: Integrate a real-time alert system within your Voice AI setup. This can notify team members immediately when it detects key customer triggers, like expressions of dissatisfaction or excitement, prompting swift and appropriate action. By integrating these strategies, you'll not only meet but exceed customer expectations, enhancing engagement and driving sales. How are you leveraging technology to stay on top of customer preferences? Share your strategies below! #innovation #digitalmarketing #technology #bigdata #entrepreneurship #voiceai