Identify contact reasons faster with AI-powered Support Data Analytics

Unlock insights from thousands of support emails and chats to identify why customers reach out, reduce volume of contacts, and boost customer satisfaction.

A better, more efficient way to analyze support tickets and conversations

Extract insights from all support interactions

Integrate your support data from Zendesk, Intercom, Dixa, LiveChat and more, with a unified view easily accessible in one platform.

Analyze unstructured text with Lyra AI

Our proprietary AI model, Lyra AI, automatically analyzes large amounts of unstructured text with unparalleled accuracy, at scale.

Create custom reports with advanced analytics.
Easily uncover granular insights, surface trends and track changes over time with powerful custom reports and dashboards for every team.

Get insights from every customer support interaction

Customer support generates massive amounts of data. With cutting-edge AI models built for scale, Chattermill helps you analyze all customer interactions without the manual workload.

Cut through the noise
Chattermill filters out irrelevant data, ensuring quality insights without the need for manual cleaning processes.

Sentiment analysis
Chattermill goes beyond keyword matching by using advanced technology to identify multiple concepts and sentiments.

Identify contact reasons 10x faster

Looking for ways to reduce the number of support emails and chats? Our tools help you quickly identify the reasons for contact so you can create a plan for improvement.

Intelligent reports
Analyze KPIs like CSAT, contact volume or top reasons for contacts. Customize reports for any use case.

AI-powered summarizations
Skip the back-and-forth emails between a customer and an agent. Read a summary of the key points of the conversation.

Anomaly alerts
Get proactive alerts to help you spot customer concerns early and address them before they escalate.

Share support insights with every team

Other teams have no access to support insights? Break down silos and provide CX, Product, and Revenue teams with actionable insights from all customer interactions.

Team dashboards
Create dashboards for specific teams, regions, or use cases, giving key stakeholders visibility into all support channels.

Unified view
Get a unified view by combining support data with feedback from surveys, reviews, and social channels, all in one place.

Chattermill has allowed us to be more effective and scalable. We no longer have to manually tag conversations, which has freed up a lot of time in our team. It’s also allowed us to analyze in more depth what the customer conversations are about – giving us further context on the issue.

Frequently Asked Questions

What is support data analysis?
Support data analysis is the process of analyzing unstructured text from support emails and chat conversations across popular platforms like Zendesk, Intercom, Dixa, LiveChat, and Drift. The insights gathered help identify contact reasons, reduce contact volume, improve products and services, and boost customer satisfaction.

What types of support data can I integrate into Chattermill?
Chattermill lets you integrate feedback from various sources like survey tools, online review sites, social media, and customer service platforms (including support calls).

You can check out the full list of integrations here.

Can Chattermill analyze customer support calls, too?
Absolutely! Chattermill can analyze your customer support call recordings and MP3 files from platforms like Dixa, Aircall, 8x8, and more. Learn more about Speech Analytics here.

How do you ensure data privacy?
Customer support contacts may contain sensitive PII, such as contact details or credit card information. Chattermill ensures PII anonymization, hiding personally identifiable information from view.