Support Data Analytics

Understand contact reasons in customer support tickets and conversations

Say goodbye to painstaking, time-consuming manual analysis. Chattermill analyzes millions of support interactions and chat conversations at scale so you can effortlessly find insights to elevate customer satisfaction, foster loyalty, and drive growth.

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Time to resolution

0h 24s

8 replies total

Avg response time

8m 35s

First reply: 5m 28s

There’s a more efficient way of analyzing thousands of customer conversations

Unify data from the platforms you use every day, like Zendesk, Intercom, Dixa, or Salesforce. There’s no need to worry about different data formats – Chattermill automatically categorizes and analyzes your customer tickets and conversations at scale, unveiling real-time trends and actionable insights.

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Understand why customers need support in the first place

Understanding why customers reach out to you for support is critical to understanding where your business needs to improve. Chattermill enables you to analyze your support data at scale, uncover the sentiment behind customer support tickets, and discover exactly where you need to make changes to your products, services, and operations.

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Get to the root cause 10x faster with AI-powered summarizations

Looking to extract quick insights from long email threads? With AI-powered summarisations you can effortlessly summarize lengthy threads, filter through key themes and phrases, and extract the critical problems within your customer journey in seconds.

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Easily compare different data sets

Unify customer tickets and conversations with other data sets for side-by-side comparisons and powerful benchmarking. No need to rely on a team of developers and data analysts to create the advanced reporting you need.

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“Chattermill is a key partner in helping us listen to our customer support conversations at scale. Every employee now has access to actionable intelligence with just a few clicks, and our decisions are more customer-obsessed than ever.”