Overview
MonkeyLearn is a cloud-based AI text analysis tool that lets non-technical users build and deploy custom classifiers and extractors for sentiment, topics, intent, and entities. It offers a drag-and-drop interface, pre-trained models, and visual dashboards so businesses can analyze customer feedback at scale without writing code.
Pricing
Free / Trial
- Free trial with limited volume so teams can test classifiers, dashboards, and integrations before paying.
- Useful for validating text pipelines and ROI on one or two data sources.
Starter / Basic
- Public listings show MonkeyLearn starting at around 299 USD per month, significantly above the average text mining tool price (~99 USD/month).
- Starter-type plans usually include a fixed number of processed texts per month and access to pre-built models and basic automation.
Enterprise
- Enterprise pricing is custom, with higher text volumes, SSO, SLAs, dedicated onboarding, and deeper integrations into CX stacks.
- Best suited for organizations that process large volumes of tickets, reviews, or NPS comments and need reliable SLAs.
Key Features
- No-code model builder – Create custom classifiers (e.g., sentiment, topics) and extractors (e.g., keywords, entities) without coding.
- Pre-trained models & templates – Ready-made models for reviews, support tickets, NPS, and survey analysis to get value quickly.
- Dashboards & visualization – Built-in charts and dashboards to track sentiment, topics, and trends over time.
- Integrations & API – Connects with tools like Google Sheets, Zendesk, Zapier, and offers REST APIs for custom workflows.
- Scalable text processing – Designed to handle large volumes of text from multiple channels with automated pipelines.
Best Use Cases
- Customer support & CX – Analyze support tickets, chats, and emails to categorize issues and identify drivers of dissatisfaction.
- Product feedback & reviews – Monitor app store reviews, e-commerce reviews, and feature requests at scale.
- Voice-of-customer programs – Centralize NPS, CSAT, and survey verbatims to derive actionable insights.
- Operations & routing – Automatically tag and route tickets based on topic, urgency, or sentiment.
- Market & social listening – Analyze social media comments and external reviews to understand brand perception.
Pros
- ✅ Truly no-code – Business teams can build and iterate text models without needing data scientists or engineers.
- ✅ Flexible, customizable models – Supports both pre-built templates and fully custom classifiers/extractors tailored to each business.
- ✅ Good CX/feedback focus – Optimized for customer feedback, surveys, and support use cases rather than generic NLP only.
- ✅ Solid integrations – Easy connection to common CX and productivity tools via native integrations and APIs.
Cons
- ❌ High starting price – Entry pricing around 299 USD/month is materially higher than many competitors.
- ❌ Not ideal for very small teams – Cost and feature depth may be overkill for small businesses with limited text volumes.
- ❌ Limited beyond text – Focused on text analytics; organizations needing multi-modal or broader AI may need additional tools.
Official Website
MonkeyLearn – Official website: https://monkeylearn.com
Release Date: 2014 (company founded; acquired by Medallia in 2022)
Last Updated: December 2025