Analysis for machines, relationships for humans

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.


Twelve identical cards sorted into four groups, one of them entirely coral

12 conversational analysis software tools in 2026: the comparison for French-speaking contact centres, without ranking

Gong, Fireflies.ai, CallMiner, Observe.AI, Genesys Cloud, Verint, Raisetalk: under the "conversational analysis" label, four families of tools that do not listen to the same thing. Twelve software tools reviewed with the criteria of a French-speaking contact centre: public pricing, documented French support, data hosting, auditability of scores. No rating and no podium, with sources, and with the cases where Raisetalk is not the right choice.

Genesys 2026 study on customer experience in France

Genesys 2026: France has Europe's strongest relational ambition, and its weakest execution

The 5th edition of Genesys' "State of Customer Experience" surveys 5,811 consumers and 1,560 CX leaders. It reveals a French paradox: 43 % of French CX leaders put loyalty and empathy at the top of their priorities, a world record, while France ranks last in Europe on automatic context handover to the agent (34 %) and reports 6 % significant reduction in customer effort, against 24 % worldwide. The strongest ambition, the weakest execution: an instrumentation gap, not a conviction gap.

EY / SP2C 2026 contact centre barometer

EY / SP2C Barometer 2026: the shift from volume to value, and the measurement it's missing

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.

AI summary and PDF export of Raisetalk reports

AI Summary and PDF Export of Reports: the Last Mile of 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.

CSV export of conversations analysed by Raisetalk

CSV export of conversations: connect your Raisetalk analyses to your entire data ecosystem

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.

OpenAPI documentation of the Raisetalk API

OpenAPI documentation: generate a Raisetalk SDK in the language of your choice

The Raisetalk API documentation is now published in OpenAPI format, generated automatically from the source code and updated on every deployment. In a single command, you can generate a working client SDK in more than 50 languages (PHP, Python, TypeScript, Java, Go, etc.).

Natural language search across customer calls

What If You Could Query Your Customer Calls in Natural Language?

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.

KPMG CEE 2025 barometer on customer experience

KPMG CEE 2025: What the Customer Experience Barometer Reveals About Contact Centers and Conversational Analysis

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.

Use cases for customer conversation analytics

Customer Conversation Analysis: 5 Concrete Use Cases

Discover 5 concrete use cases for customer conversation analysis: churn detection, cross-sell, compliance, agent coaching, and customer satisfaction improvement.

Complete guide to making use of customer interactions

The complete guide to leveraging your interactions.

Far beyond simple multilingual transcription, these solutions integrate advanced features such as sentiment analysis, attitude detection, and strategic insight extraction from every interaction.