Observed Signal · May 26, 2026 · Industry Report Ranking · Source: https://martechseries.com/feed/ · Impact: 2/5 · Sentiment: Positive
CallMiner Named SPARK Matrix Leader in Conversational Intelligence
CallMiner has been named a leader in QKS Group’s SPARK Matrix: Conversational Intelligence (Q2 2026) report for the fifth consecutive year. QKS Group highlighted CallMiner’s unified architecture across intelligence, augmentation and automation layers and its capabilities in AI-driven analytics, automation, performance management and compliance. The report also noted CallMiner’s 2025 acquisition of VOCALLS (now CallMiner OmniAgent) as strengthening its conversational AI and cross-channel interaction capabilities. CallMiner’s platform features cited include automated scoring, sentiment and emotion detection, cross-channel journey analysis, integrated audio and screen recording, and CallMiner Coach for agent performance management. Quotes from CallMiner CEO Jeff Gallino and QKS Group analyst Amandeep Singh Khanuja emphasize the rising demand for conversational intelligence to convert interactions into measurable business outcomes and operational workflows.
Vendor recognition signals continued leadership and product maturation in conversational intelligence and VoC/CX analytics, reinforcing market adoption and validating CallMiner’s platform and recent acquisition—relevant to CX and MarTech buyers but not industry‑shifting on its own.
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Key Takeaways & Evidence Grounding
- CallMiner was named a leader in the QKS Group SPARK Matrix: Conversational Intelligence, Q2 2026 report.
- This is the fifth consecutive year CallMiner has been placed as a leader in the SPARK Matrix for conversational intelligence.
- QKS Group highlighted CallMiner’s unified architecture across intelligence, augmentation and automation layers and platform capabilities including automated scoring, sentiment and emotion detection, cross-channel journey analysis, integrated audio and screen recording, and agent performance management (CallMiner Coach).
- CallMiner acquired VOCALLS in 2025; the product is now referred to as CallMiner OmniAgent.
- Article publication date: 2026-05-26.
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CallMiner Named Strong Performer in Forrester Wave Report
CallMiner, a provider of customer experience (CX) automation powered by conversation intelligence, announced it has been named a Strong Performer in the Forrester Wave: Customer Feedback Management and Analytics Solutions, Q3 2026. In its first inclusion in this report, CallMiner received the highest possible scores in eight criteria, including Vision, AI, Topic Modeling, Natural Language Understanding, Conversation Intelligence, Analytics, Specialization, and Data Masking. The report highlights CallMiner's AI-native vision and its depth in conversation intelligence, pairing text mining with advanced AI. CallMiner aims to help organizations turn customer conversations into actionable intelligence, improving frontline performance and customer outcomes through both human and automated actions. The recognition reflects growing pressure on enterprises to translate AI capabilities into measurable CX value.
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CallMiner Adds Agentic AI Guidance to RealTime
CallMiner announced an enhancement to its CallMiner RealTime product that introduces agent-initiated, context-aware AI guidance for live contact-center interactions. The feature provides on-demand assistance based on an organization’s knowledge base, includes direct source traceability for human-in-the-loop oversight, and complements existing event-based AI alerts. Interactions where agents request guidance are automatically flagged in CallMiner Analyze and CallMiner Coach to give supervisors visibility and enable a feedback loop for coaching, content refinement, and continuous improvement. The release emphasizes agent control, compliance reinforcement, and reduced time spent searching resources. CallMiner cited its CX Landscape Report finding that 47% of organizations provide real-time assistance to frontline employees. The announcement was published by Business Wire on June 22, 2026.
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