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Chattermill

6.6/10

Chattermill is an AI customer feedback analytics platform that unifies surveys, reviews, support tickets and social posts so enterprise CX and product teams can find what drives their metrics.

Data last updated November 2026 · Our methodology

Overview

Chattermill is a London-based Voice of Customer analytics platform. It brings customer feedback from surveys, review sites, support conversations, social media and calls into one place. Its proprietary Lyra AI tags every piece of feedback with themes and topic-level sentiment, and Impact Analysis links those themes to movements in NPS, CSAT and similar scores. The platform also offers precision insights, dashboards and reports, and anomaly detection that sends alerts to Slack, email or Jira. Newer AI features include Lyra Agent, which was in early preview and answers questions with charts and linked customer quotes, and Proactive Insights, which flags spikes and emerging issues on its own. A read-only MCP server lets assistants such as Claude, ChatGPT and Cursor query Chattermill data. The integrations page lists about 100 connectors, including Zendesk, Intercom, Gorgias, Qualtrics, Medallia, Trustpilot, the App Store, Snowflake, Databricks and Gong, plus a REST API and CSV upload. The product is built for large B2C brands such as Uber, HelloFresh, Booking.com and E.ON Next. Chattermill itself says it is a poor fit for companies with fewer than about 5,000 feedback items a month. Pricing is quote-only. Plans are priced on integrations and monthly data credits rather than seats, and every plan includes unlimited users. Vendr transaction data puts the average contract at about 64,000 USD a year. The main limitation is the setup effort: reviewers and competitors say taxonomy tuning and dashboard configuration take analyst time, and occasional users can find the interface busy.

Our Rating

6.6
out of 10
Integration
9
Analytics
9
Customization
7
Ease of Use
5
Support
7
Cost
2
Scalability
8
Security
8
Output Quality
7

Who Chattermill is best for

Best software for Enterprise

Good fit

  • Chattermill is built for high-volume enterprise brands such as Uber, Booking.com and Tesco, and says it fits teams with more than 5,000 feedback items a month.

  • It connects to 17 support tools, including Zendesk, Intercom and Gorgias, and analyses contact reasons and frontline performance.

  • It has connectors for returns and post-purchase tools such as Loop Returns and Recharge, plus e-commerce customers like HelloFresh and Footasylum.

Less suited

  • It sends alerts to Jira and connects through MCP to Linear and Notion, but a competitor analysis frames it mainly for CX teams measured on scores.

  • Reviewers say the enterprise-level price is steep for mid-sized companies.

  • Contracts average about 64,000 USD a year, and the vendor says it is a poor fit below about 5,000 feedback items a month.

Pros & Cons

Pros

  • Very broad connector library: about 100 integrations across support desks, survey tools, review sites, social networks, data warehouses and AI agents.
  • Impact Analysis ties feedback themes directly to NPS and CSAT movement, which G2 reviewers praise for making the insights clear.
  • No per-seat fees, so large organisations can roll it out widely; Uber reports more than 400 users.
  • Strong compliance credentials: SOC 2 Type II and ISO 27001 certification, automatic PII redaction at ingestion, and UK/EU data residency by default with a US option.
  • Read-only MCP server lets teams query feedback data from Claude, ChatGPT or Cursor.

Cons

  • No public pricing; Vendr data puts the average contract at about 64,000 USD a year, which is out of reach for small teams.
  • G2 reviewers find the interface busy and hard to learn for occasional users and newcomers, and some report filtering problems.
  • Theme models need analyst tuning at the start, so rollouts can stall without a dedicated owner.
  • Some users report limited flexibility in exports, dashboard customization and bespoke reporting.
  • Lyra Agent was listed as an early preview rather than generally available.

Key Features

AI Agents
Data Analysis
API Access
Workflow Automation
Enterprise Controls

Chattermill Pricing

Enterprise

Contact for pricing
  • Custom roles
  • 5 integrations
  • Credit rollover
  • Unlimited users
  • Quote-based pricing
  • 100,000 monthly data credits
Get Started

Pro

Contact for pricing
  • 2 integrations
  • Unlimited users
  • Quote-based pricing
  • 10,000 monthly data credits
Get Started

Team

Contact for pricing
  • 3 integrations
  • Unlimited users
  • Historical analysis
  • Quote-based pricing
  • 30,000 monthly data credits
Get Started
Open interactive pricing calculatorGet a tailored cost breakdown for your team size, billing cycle, and add‑ons.

Frequently Asked Questions

Chattermill doesn't publish prices. Quotes are based on the number of integrations and monthly data credits rather than seats. Vendr transaction data shows an average of about 64,000 USD a year.

No. Chattermill says it has no per-user fees, and third-party summaries of its plans say every tier includes unlimited users.

No self-serve trial was found. Chattermill's site offers a personalised demo booked through sales.

Chattermill says it holds SOC 2 Type II and ISO 27001 certification and complies with GDPR and CCPA. It also offers SSO, 2FA, custom roles and automatic PII redaction. Data is hosted on Google Cloud with UK/EU residency by default, and US residency is available.

Yes. Chattermill offers a read-only MCP server that works with Claude, ChatGPT, Cursor and other MCP-compatible agents.

Yes. A REST API, authenticated with a Bearer API key from the Settings page, lets you push responses, enrich them with CRM or warehouse attributes, and export data. Chattermill says most in-app operations are also available through the API.

Generally not. Chattermill says it is a poor fit for organisations collecting fewer than about 5,000 feedback items a month, and reviewers call the price steep for mid-sized companies.

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