AI TOOL PROFILE
Chattermill: AI Voice of Customer & Feedback Analysis Platform
- Customer Support
- Analytics and Reporting
- Customer Experience (CX) teams
- Product and UX managers
- Customer Support and Operations leads
- Companies collecting 5,000+ pieces of feedback per month
Pricing
Pricing is based on data source integrations and monthly data credit volume. Pro plan includes 2 integrations and 10,000 credits/month; Team plan includes 3 integrations and 30,000 credits/month; Enterprise plan includes 5 integrations and 100,000 credits/month. No per-user fee is charged.
At a glance
- Best for
- Customer Experience (CX) teams, Product and UX managers, Customer Support and Operations leads, Companies collecting 5,000+ pieces of feedback per month
- Key use cases
- Prioritizing Product Roadmaps, Reducing Support Volume, Monitoring Brand Reputation, Analyzing Customer Journeys
- Integrations
- Zendesk, Trustpilot, Qualtrics, Intercom, Snowflake
- Official website
- Visit Chattermill official website
How AI is used
Chattermill is a Voice of Customer (VoC) platform designed to consolidate feedback from surveys, online reviews, social media, support tickets, and voice calls into a single interface. It uses an AI system called Lyra to categorize unstructured text and identify sentiment and themes.
The tool is built for Customer Experience (CX), Product, and Operations teams. It helps these teams identify why certain KPIs, such as NPS or CSAT, are fluctuating by linking customer comments to business metrics.
Buyers should note that the platform is designed for those already collecting significant amounts of data. It is not a fit for businesses looking for a tool to send out surveys or those who collect fewer than 5,000 pieces of feedback monthly.
Operationally, the platform supports a high number of users since it does not charge a per-seat fee, which helps in aligning different departments around the same customer data.
Key Features
Feedback Unification
Centralizes unstructured feedback from surveys, social media, reviews, and support conversations into one platform.
Lyra AI Analysis
Automatically tags, clusters, and categorizes feedback to identify recurring themes and sentiment.
AI-Generated Summaries
Provides summaries of main feedback themes grounded in actual customer quotes.
Anomaly Detection
Supports alerts when significant changes in metrics or new emerging trends are detected.
Speech Analytics
Analyzes voice calls from support and prospects to extract customer insights.
Impact Analysis
Supports drilling down into the drivers behind metrics like NPS, CSAT, or CES.
Use Cases
Prioritizing Product Roadmaps
Using analyzed user feedback to identify product issues and prioritize feature requests.
Reducing Support Volume
Analyzing support data to identify recurring technical issues or friction points to help minimize support requests.
Monitoring Brand Reputation
Connecting online review sites and social media to monitor sentiment and react to CX issues.
Analyzing Customer Journeys
Assessing touchpoints across the customer experience to identify gaps in the journey.
Integrations
- Zendesk
- Trustpilot
- Qualtrics
- Intercom
- Snowflake
- SurveyMonkey
FAQ
What is a data credit in Chattermill?
- A data credit represents a single piece of feedback, such as one survey response, a support chat, or a social media comment.
Does Chattermill charge for additional users?
- No, Chattermill does not charge a per-user fee, allowing unlimited admin and platform users.
Who is Chattermill not a good fit for?
- It is not designed for those looking for a survey collection tool, students, or businesses collecting fewer than 5,000 pieces of feedback per month.
How is the pricing structured?
- Pricing is based on the number of data source integrations and the volume of feedback analyzed (data credits) per month.
Source category: Customer Support
Source subcategory: Analytics & Reporting
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