Chattermill

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Chattermill unifies and analyzes customer feedback using AI to help businesses prioritize customer needs and enhance experiences.

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What is Chattermill?

Chattermill is a platform that helps businesses improve their customer-centric experiences by unifying and analyzing customer feedback from various sources, enabling them to prioritize what matters to their customers. Founded in 2015 by Mikhail Dubov and Dmitry Isupov, the platform uses deep learning technology to extract insights from data efficiently. Chattermill is trusted by leading customer-centric companies like Uber, HelloFresh, and Wise, allowing them to act on their customer reality effectively. The platform offers various analytics capabilities, including customer feedback analytics, support data analytics, product feedback analytics, and social feedback analytics. Additionally, Chattermill provides SOC2 Type II certification, GDPR and CCPA compliance, EU & US-based data hosting, and advanced admin controls to ensure data security and privacy.

Chattermill's focus on customer feedback analytics has been recognized by industry leaders like Uber, HelloFresh, and Tesco. The platform's deep learning AI technology enables it to provide granular insights into customer experiences, aiding businesses in understanding customer sentiments at a detailed level. The exceptional customer success and support offered by Chattermill ensure that businesses receive personalized assistance and guidance throughout their journey with the platform.

Who created Chattermill?

Chattermill was co-founded by Mikhail Dubov and Dmitry Isupov in 2015 while at Entrepreneur First. They launched the company out of frustration with the slow pace of customer research and the inaccessibility of such services for many companies. Their vision was to use deep learning technology to automate the process of deriving insights from messy data. Chattermill officially launched on December 12, 2023, and has since become a trusted platform for customer-centric companies like Uber, HelloFresh, and Wise to analyze and act on customer feedback.

What is Chattermill used for?

Customer Feedback Analytics
Social Feedback Analytics
Support Data Analytics
Product Feedback Analytics
Social CX Analytics
Improve NPS
Work Smarter
Loved by Users
Immediate Value
Understand the Voice of Your Customers
Analyze customer feedback at scale

Who is Chattermill for?

Customer Insights Manager
Data Analyst
Marketing Manager
Product Manager
Customer Success Manager
Finance Manager
Customer Support Analysts
Product Managers
Marketing professionals
CX Intelligence Leaders
Product teams
Customer support teams
Strategy & Ops Lead
Voice of Customer Expert
Lead Analyst
Strategy & Operations Lead
Associate Director of VoC

How to use Chattermill?

To use Chattermill effectively, follow these steps:

Unify Data: Collect and analyze all customer data from various sources like feedback, conversations, reviews, social media, and support interactions to gain a comprehensive view of customer sentiment.
Get Actionable Insights: Utilize AI-powered deep learning to analyze feedback data at scale, extracting sentiment and identifying pain points to provide actionable intelligence for decision-making.
Understand Customer Voice: Prioritize improvements by understanding customer feedback and focusing on areas that matter most to customers to enhance product strategy, operations, and customer support.
Integration and Security: Benefit from integrations with various data sources and ensure data security with SOC2 Type II certification, GDPR & CCPA compliance, and advanced admin controls for data permissions.
Customer Success Support: Receive dedicated support from a Certified Customer Success Manager for strategies, onboarding, and training through the CX Intelligence Academy to maximize the platform's benefits.
Impact Measurement: Evaluate the impact of using Chattermill by monitoring metrics like NPS improvement, hours saved, user adoption, and immediate value payback period to quantify business benefits.

By following these steps, you can effectively harness the power of Chattermill to enhance customer experiences and drive business success.

Pros

Analyzes millions of support interactions and chat data at scale to find out the root causes of customer inquiries
SOC2 Type II certified for security and confidentiality standards
Offers integrations for all data sources and existing tech stack
Helps in understanding the voice of customers to prioritize and improve products and operations
Analyzes feedback data at scale using AI for actionable intelligence
Provides immediate value with a quick payback period
Increases user adoption
Saves time through smarter work processes
Improves Net Promoter Score (NPS)
Delivers actionable insights to help deliver better customer experiences
Deliver insights to build a customer-centric product strategy and test hypotheses
Unify all user data and analyze at scale using AI for customer-centric product strategy
Provide better customer support experiences through analyzed support data
Analyze millions of support interactions and chat data at scale to find root causes of customer interactions
Can help deliver better customer support experiences through support data analytics

Cons

Potential lack of customization
Dependent on direct customer quotes
Possibly complex for non-technical users
Dependent on predefined business insights
Unspecified data limits
No detailed privacy controls
Lack of offline functionality

Pros

Cons

Analyzes millions of support interactions and chat data at scale to find out the root causes of customer inquiries
SOC2 Type II certified for security and confidentiality standards
Offers integrations for all data sources and existing tech stack
Helps in understanding the voice of customers to prioritize and improve products and operations
Analyzes feedback data at scale using AI for actionable intelligence
Provides immediate value with a quick payback period
Increases user adoption
Saves time through smarter work processes
Improves Net Promoter Score (NPS)
Delivers actionable insights to help deliver better customer experiences
Deliver insights to build a customer-centric product strategy and test hypotheses
Unify all user data and analyze at scale using AI for customer-centric product strategy
Provide better customer support experiences through analyzed support data
Analyze millions of support interactions and chat data at scale to find root causes of customer interactions
Can help deliver better customer support experiences through support data analytics

Potential lack of customization
Dependent on direct customer quotes
Possibly complex for non-technical users
Dependent on predefined business insights
Unspecified data limits
No detailed privacy controls
Lack of offline functionality

Chattermill FAQs

What is Chattermill?: Chattermill is a customer feedback analytics platform that unifies customer feedback data and analyzes it at scale using AI to provide actionable insights and understand the voice of customers.

What are the key capabilities of Chattermill?: Chattermill offers Customer Feedback Analytics, Support Data Analytics, Product Feedback Analytics, and Social Feedback Analytics to help businesses analyze feedback data, support interactions, chat data, user data, and social comments using AI.

How does Chattermill help improve customer experiences?: Chattermill helps improve customer experiences by analyzing feedback data to uncover pain points, understand customer sentiment, and provide insights for building customer-centric product strategies and delivering better customer support experiences.

What certifications and compliance does Chattermill have?: Chattermill is SOC2 Type II Certified, GDPR & CCPA compliant, and offers EU & US-based data hosting to ensure adherence to strict security, confidentiality, and data privacy standards.

Who founded Chattermill and when?: Chattermill was co-founded by Mikhail Dubov and Dmitry Isupov in 2015 while at Entrepreneur First, with a vision to automate insights generation from customer data using deep learning technology.

How is Chattermill used by companies?: Chattermill is used by customer-centric companies like Uber, HelloFresh, and Wise to unify and act on customer feedback, improve customer experiences, and make data-driven decisions based on accurate customer insights.