In this blog, we share our vision of tomorrow's customer relationships: how conversational analysis is revolutionizing Quality Monitoring, how AI decodes the voice of the customer, and most importantly, how to transform these insights into memorable experiences.
➜ Strategies, feedback, and innovations: everything you need to elevate your customer experience.
The EY / SP2C Barometer 2026 records a rupture: the French outsourced customer relations market is declining (-1.4 %) and shifting "from volume to value", driven by AI. But AI still accounts for only 8.7 % of value, and 0.9 % in hybrid mode. The missing link between the slogan and the proof is the measurement of every interaction: conversational analysis.
Two new features close the last mile of conversational analysis: an AI summary at the top of every aggregated report, which condenses, interprets and suggests next steps based on your filters and the model of your choice, and PDF export of those reports, polished and on-brand, ready to share with those who never log into the tool. From data to a shared decision.
The asynchronous CSV export of analyzed conversations is now available directly from Raisetalk. Your analyses connect to your CRM, your data warehouse, your BI (Power BI, Tableau, Looker), your reporting pipelines or your internal models. Conversational data that flows, intersects and enriches with the rest of your ecosystem.
Your customer conversations contain thousands of signals buried in hours of recordings. What if you could ask a question in natural language — 'which calls mention a billing issue this month?' — and get a synthesized, sourced answer in seconds? Raisetalk transforms your transcriptions into a searchable knowledge base.
The KPMG CEE 2025-2026 barometer evaluated 240 brands on 6 pillars of customer experience. The findings are clear: Integrity, Empathy, and Personalization — the most impactful pillars — are played out in conversations. Discover what this means for your contact center and how conversational analysis makes these pillars measurable.
