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Conversation Intelligence

Analyzes customer conversations to reveal issues, sentiment, and agent performance

About

Conversation Intelligence by Contentsquare provides a platform for analyzing customer conversations—across both human and AI-handled channels—to extract actionable insights. It helps companies understand the drivers behind customer contacts, track sentiment, and monitor agent performance. The tool connects conversation data with user behavior analytics, allowing teams to uncover root causes of user struggles, measure the business impact of support issues, and identify patterns that surveys or basic metrics might miss.

Organizations can use Conversation Intelligence to bridge gaps between digital experience and customer interaction data, making it possible to spot friction points quickly, prioritize improvements, and align product and support teams around customer needs. The system highlights shifts in sentiment, quality issues, and sources of customer frustration, as well as potential automation opportunities. Its integration with existing analytics platforms lets decision-makers evaluate how customer feedback correlates with conversion rates and revenue outcomes.

With features to visualize, segment, and analyze contact reasons in context, the platform is suited for enterprises and fast-growing companies that want in-depth, real-time voice-of-customer analysis without waiting for slow survey feedback.

Who is Conversation Intelligence made for?

Customer Success Manager Support Agent Operations Manager Product Manager Marketing Manager Data Analyst / BI Specialist
Small company (26-50 people) Mid-sized company (51-100 people) Established company (101-250 people) Large company (251-1000 people) Enterprise (1000+ people)

Conversation Intelligence targets customer experience, support, and product teams in medium to large organizations across industries such as eCommerce, financial services, hospitality, B2B SaaS, and automotive.

It is particularly useful for managers responsible for customer success, support operations, and digital product analytics, who want to understand why customers reach out and how interaction quality affects both user satisfaction and business outcomes. Data analysts and operations leaders looking to connect support conversations to user journey analytics and revenue impact will also benefit from its in-depth insights.

Companies facing large volumes of support tickets or multi-channel conversations will find this tool valuable for surfacing trends, causes of customer friction, and opportunities for workflow automation or training.

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