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MonkeyLearn alternatives for classifying customer feedback

MonkeyLearn was a text analysis tool for classifying feedback such as reviews, tickets and survey answers. Medallia acquired it in 2022, and monkeylearn.com now redirects to medallia.com, with no standalone MonkeyLearn price on the domain (checked November 12, 2026). For a team that used it to tag customer feedback and now wants every channel classified with categories built for its business, joined to revenue and operational data and turned into reports, Dimension Labs is the strongest replacement. Developers who want a classification API can use Amazon Comprehend or Google Cloud Natural Language, and Medallia itself fits teams moving onto its platform. The alternatives below are Dimension Labs, Medallia, Amazon Comprehend, Google Cloud Natural Language, Keatext and Thematic.

Where Dimension Labs is the strongest choice: when you want every customer channel analyzed together, joined to your operational data, and turned into reports other teams use. It is fully omni-channel, enriches every interaction with Dimensions built for your business and industry, and builds custom decks, dashboards, executive reports and interactive data stories you can share across the company. From $299 a month with no demo; the join to CRM and revenue data comes with Prove and up. Why Dimension Labs.

By Maddox Hale, Research at Dimension Labs · Prices checked November 12, 2026

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Why teams look for MonkeyLearn alternatives

The product moved. A report in Bloomberg Línea on May 6, 2022 said Medallia had acquired MonkeyLearn, with the sale closed that February. Today monkeylearn.com redirects to medallia.com, and the MonkeyLearn pricing address shows Medallia's pricing page, which describes an Experience Data Record model priced in annual tiers (checked November 12, 2026).
Categories built for the business. Teams that trained custom classifiers in MonkeyLearn want the same: their own category list, applied the same way to every review, ticket and survey answer, with a quote behind each label.
A large language model instead of training data. Many teams now describe each category in plain words and let a language model apply the list, rather than labelling hundreds of examples to train a model. Our comparison of topic modeling and LLM classification shows the trade-offs on 8,504 hotel reviews.
Results other teams can use. A classifier returns tags. Product, support and leadership want counts, trends and the issues that move ratings or revenue, delivered as reports.

Published terms, checked November 12, 2026

MonkeyLearn and 6 alternatives: price, contract and how you buy

Starting prices as each vendor publishes them. "Not published" means the vendor's site gives no price. Third-party figures are labelled.

ToolStarting priceBillingTrial or free planDemo or sales call to buy

MonkeyLearnsource, 2026-11-12 No standalone price found; monkeylearn.com now redirects to medallia.com Not stated None listed Through Medallia, which asks you to talk to sales

Medalliasource, 2026-10-26 Not published (Vendr reports a $13,338 a year median) Annual tiers None listed Yes, talk to sales

Amazon Comprehendsource, 2026-11-12 Pay per use: custom classification $3 an hour to train and $0.50 a month per model, plus inference Pay as you go on AWS 12-month free tier on standard APIs; none for custom classification No, self-serve

Google Cloud Natural Languagesource, 2026-11-12 Pay per use by 1,000-character unit; first 30,000 content classification units a month free Monthly, by usage Free monthly units; up to $300 in credits for new Google Cloud customers No, self-serve

Keatextsource, 2026-11-08 $550 a month (Basic); $999 Pro; Enterprise from $1,650 Monthly Free 2-week proof of concept, no card Yes, every plan starts with a demo

Thematicsource, 2026-10-26 $25,000 a year (Foundation, up to 25,000 comments) Annual Custom demo or paid pilot Yes, book a demo

Dimension Labssource, 2026-10-26 $299 a month (Explore); $999, $2,999 and $6,999 tiers Monthly or annual Free trial to start No

Read from each vendor's own pricing or product pages on the date shown. Vendors change pricing; check before you buy.

What Dimension Labs is

Why Dimension Labs: the omni-channel analytics agent for customer data

Dimension Labs is an omni-channel analytics agent for customer data. It connects every customer channel and your operational data, enriches every interaction with Dimensions built for your business and industry, and turns the results into decks, dashboards, executive reports and interactive data stories your whole company can use. Plans start at $299 a month with no demo.

MonkeyLearn let teams train text classifiers and call them from their own tools. Dimension Labs covers that and the work around it: categories written for their business and applied by a language model to every review, ticket, chat, call and survey answer, checked on a sample before the full run, then counted, trended and, on Prove and up, joined to revenue and retention data so each category is ranked by what it costs. The agent turns the results into the decks, dashboards and executive reports each team asks for. See automated data labeling and how to tell if your AI tagging is accurate.

Fully omni-channel

Every customer channel in one place: support tickets, live chat, chatbot and AI agent transcripts, call transcripts, emails, reviews, surveys and social posts, read in full, not sampled.

Easy integration across customer and operational data

Customer channels join to the operational data sitting next to them (CRM, billing, renewals, orders, product usage, point of sale, staffing and location data) on the same customer, account or location (the join to CRM and revenue data comes with Prove and up). Connect Zendesk, Intercom, Salesforce, Snowflake, BigQuery and more, or start with a CSV.

Effortless enrichment of every interaction, built for your business

Every interaction on every channel is enriched with Dimensions, hundreds of them if you need them: typed fields such as the reason for contact, whether it was resolved, a product mentioned or a cancellation threat, designed for your business and industry (custom Dimensions on Discover and up; Explore uses the pre-built library). The same schema runs every time, so CX, marketing, product, sales, operations and leadership all work from the same enriched data.

A new visual analytics layer

Go beyond static dashboards and AI chat widgets. Ask in plain English and the agent builds fully customized decks, dashboards, PDF and executive reports and interactive data stories in the platform, keeps them current on a schedule, and shares them across the company.

Proof of which issues move the number

Each issue is tested against the outcome you care about, such as churn, revenue, ratings or cost to serve, holding other factors fixed, with an effect size and a confidence interval (Prove plan and up). Every number links back to the conversations behind it.

Every data source

What Dimension Labs reads, and joins on the same customer, account or location

Customer conversationsSupport tickets, live chat, chatbot and AI agent transcripts, call transcripts, emails

Customer feedbackSurveys and NPS verbatims, app store and Google reviews

Revenue and accountsCRM, billing, renewals, orders, subscriptions

OperationsProduct usage, point of sale, staffing, location and store data, fulfilment

Where it comes fromZendesk, Intercom, Salesforce, Genesys, Ada, Gorgias, Qualtrics, Medallia, Snowflake, Databricks, BigQuery, S3, the API or a CSV

blend

Dimension Labs, recorded in the product: messages from several channels read, structured and joined to account revenue. See integrations.

A standard CX dashboard ranks cleanliness first and front desk and check-in second (27.2% of comments). Ranked by causal effect on a one-star stay, staff attitude is first at +44 points, cleanliness +34, room maintenance +21, fees and billing +19, and front desk last at +2 points, not significant. — Exhibit B of What your CX tools can't tell you. Effects are estimated changes in the chance of a one- or two-star review from a causal model on 8,504 rated reviews. Open the full report

One set of data, every team

The questions Dimension Labs answers for each team

TeamQuestionWhat the agent delivers

Customer experienceWhich contact reasons drive repeat contacts, low CSAT and churn, and which fixes would pay back first?Driver rankings, cost-to-serve impact, a weekly CX report

MarketingWhat do customers say about us versus competitors, and which messages match why people buy or leave?Voice-of-customer themes by segment, competitor mentions, campaign inputs

ProductWhich bugs, gaps and requests are tied to churn or expansion revenue, not just mentioned most?Revenue-weighted roadmap evidence, release impact tracking

SalesWhy do deals and renewals slip, and which accounts are showing risk signals in their conversations?Account risk signals, win and loss reasons, renewal briefs

OperationsWhich locations, shifts, partners or processes are behind the complaints, and what would fixing them move?Location and store comparisons, staffing and process drivers

ExecutivesWhat is driving the number this quarter, what is it worth, and did last quarter's fix work?Board-ready decks, impact measured as new data arrives

Product

Ask for the deliverable, and the agent builds it

A report and a slide deck built and checked by the agent, then saved to the project and kept current.

report

Dimension Labs, recorded in the product.

At a glance

A feedback analytics tool compared with Dimension Labs

What the category is generally built to do, set against what Dimension Labs does. Check any specific vendor against the published terms above.

Feedback analytics toolDimension Labs

What it readsCustomer feedback: surveys, reviews, support ticketsEvery data source: all customer interactions plus CRM, billing, orders, usage and operational data

What it extractsThemes, topics and sentimentHundreds of Dimensions built for your business and industry, on every interaction from every channel

How issues are rankedBy how often they come upBy their measured effect on revenue, retention, ratings or cost, with confidence intervals

Who it servesUsually one team: CX, research or productCX, marketing, product, sales, operations and executives, from one set of data

What you getDashboards to readCustom decks, dashboards, PDF and executive reports and interactive data stories, built in the platform and shared across the company

How you startOften a demo and an annual contractOne file, from $299 a month, no demo or sales call

Customer results

What teams reported after putting it to work

Each figure is that company's own reported result, from its customer story.

600%ROI within 18 months, $3.13M in total savingsTravelers Under 6 hoursinsight review cycle, down from about 60 daysNBA 57%fewer human escalations from its chatbotIntuit QuickBooks 43%fewer unhandled bot conversationsDropbox

Six questions to ask any vendor

Does it read every data source you have, including operational data, or only feedback?
Does it learn your business and build fields specific to it, or apply a generic taxonomy?
Does it rank issues by how often they come up, or by what they do to revenue and retention?
Can every team (CX, marketing, product, sales, operations, leadership) get answers from it?
Will it produce the report, deck or dashboard and keep it current, or does someone rebuild it each month?
Can you start on your own data before you sign a contract, and is the price published?

Plans from $299 a month, no demo or sales call, no contract on monthly plans. Discover and Prove include a causal finding from your data by the end of Week 4, or Month 1 back. SOC 2 Type II, ISO 27001 and GDPR.

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When Medallia, MonkeyLearn's new home, is the better choice

Medallia is the natural choice if your company runs, or plans to run, its survey and experience program on Medallia, and wants text analytics inside that platform through an enterprise contract. Its pricing page describes annual tiers and asks you to talk to sales (checked November 12, 2026). If you were calling MonkeyLearn's API from your own code and want to keep that setup, Amazon Comprehend's custom classification or Google Cloud Natural Language is the closest drop-in.

The alternatives

Dimension Labs Best for omni-channel analysis joined to operational data, with reports every team can use

$299 a month (Explore); $999, $2,999 and $6,999 tiers · Monthly or annual · Free trial to start

Dimension Labs replaces the classifier and the work around it. You describe your categories in plain words, or let the agent draft them from your data, and every review, ticket, chat, call and survey answer is labelled with them as Dimensions, with a quote behind each label and the same schema every run. It reads every channel together, joins them on Prove and up to revenue and retention data to rank categories by their measured effect, and its agent builds the reports, decks and dashboards each team needs. Explore covers 1,000 conversations a month for $299 with the pre-built Dimensions library; custom Dimensions start on Discover at $999. Plans start at $299 a month with no demo or sales call, and monthly plans have no contract.

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Medallia

Not published (Vendr reports a $13,338 a year median) · Annual tiers · None listed

Medallia acquired MonkeyLearn in 2022, and monkeylearn.com now leads to Medallia's site. Medallia Text Analytics sits inside the Medallia Experience Cloud, which is priced on an Experience Data Record model in annual tiers, with no list price; buying starts with a demo or a talk with sales (medallia.com/pricing and medallia.com/platform/text-analytics, checked November 12, 2026). Vendr, a third party, reports a $13,338 a year median for Medallia contracts (checked October 26, 2026).

Medallia website

Amazon Comprehend

Pay per use: custom classification $3 an hour to train and $0.50 a month per model, plus inference · Pay as you go on AWS · 12-month free tier on standard APIs; none for custom classification

For developers who called MonkeyLearn's API, Amazon Comprehend's custom classification API trains a model on your own labels, for example to sort support requests by problem type. Training costs $3 an hour, each model $0.50 a month, and asynchronous classification is charged per 100-character unit with a 300-character minimum. Custom classification is not part of the free tier. AWS also notes that topic modeling, event detection and prompt safety classification stopped being available to new customers on April 30, 2026 (aws.amazon.com/comprehend, checked November 12, 2026).

Amazon Comprehend website

Google Cloud Natural Language

Pay per use by 1,000-character unit; first 30,000 content classification units a month free · Monthly, by usage · Free monthly units; up to $300 in credits for new Google Cloud customers

Google Cloud Natural Language offers sentiment, entity analysis, syntax and content classification through an API, priced per 1,000-character unit with a free monthly allowance, including the first 30,000 content classification units. New Google Cloud customers get up to $300 in credits (cloud.google.com/natural-language, checked November 12, 2026). It fits developers who want general categories and sentiment in their own pipeline.

Google Cloud Natural Language website

Keatext

$550 a month (Basic); $999 Pro; Enterprise from $1,650 · Monthly · Free 2-week proof of concept, no card

Keatext analyzes surveys, reviews and support tickets for themes, sentiment and recommendations, with published plans from $550 a month for up to 10,000 records a year. Every plan starts with a demo and a free two-week proof of concept on your data (keatext.ai/en/pricing, checked November 8, 2026).

Keatext website

Thematic

$25,000 a year (Foundation, up to 25,000 comments) · Annual · Custom demo or paid pilot

Thematic codes open-ended comments into themes for research and CX teams. It publishes its entry price: $25,000 a year for up to 25,000 comments, starting with a custom demo or a paid pilot (checked October 26, 2026).

Thematic website

Common questions

What happened to MonkeyLearn?

Medallia acquired MonkeyLearn; Bloomberg Línea reported the deal on May 6, 2022, with the sale closed that February. As of November 12, 2026, monkeylearn.com redirects to medallia.com, and the MonkeyLearn pricing address shows Medallia's pricing page.

What replaced MonkeyLearn for text classification of reviews?

For reviews read together with tickets, surveys and calls, labelled with your own categories and ranked by their effect on ratings or revenue, Dimension Labs. For a classification API inside your own code, Amazon Comprehend custom classification or Google Cloud Natural Language. For teams moving onto Medallia's platform, Medallia Text Analytics.

What is the best MonkeyLearn alternative for classifying customer feedback?

Dimension Labs, if you want every feedback channel classified with categories built for your business, joined to revenue and operational data, and turned into reports; plans start at $299 a month with no demo. For a lower-cost themes and sentiment tool on surveys and reviews, Keatext. For research-grade theme coding, Thematic.

Can I reuse the categories I built in MonkeyLearn?

Yes. Export your category list and a few labelled examples of each, write a one-line definition per category, and use them as the starting schema. In Dimension Labs they become custom Dimensions (from the Discover plan), and the agent can preview the labels on a sample of 30 to 50 records before you run everything.

How much does Amazon Comprehend custom classification cost?

Training is $3 an hour, billed by the second, and each custom model is $0.50 a month. Asynchronous classification is charged per 100-character unit, with a 300-character minimum per request, and custom classification has no free tier (aws.amazon.com/comprehend/pricing, checked November 12, 2026).

What is Dimension Labs?

Dimension Labs is an omni-channel analytics agent for customer data. It connects every customer channel (tickets, chats, calls, emails, reviews, surveys) and your operational data (CRM, billing, orders, usage), enriches every interaction with Dimensions built for your business and industry, and turns the results into decks, dashboards, executive reports and interactive data stories your whole company can use. Plans start at $299 a month with no demo.

What data sources can Dimension Labs use?

Any source you have, including support tickets, live chat, chatbot and AI agent transcripts, call transcripts, emails, surveys, reviews and social posts, joined to CRM, billing, renewals, orders, product usage, point of sale, staffing and location data. Data comes in from tools such as Zendesk, Intercom, Salesforce, Genesys and Ada, from Snowflake, Databricks, BigQuery or S3, through the API, or as a CSV.

What are Dimensions?

Dimensions are typed fields extracted from every record, such as the reason for contact, whether it was resolved, a product mentioned or a cancellation threat. Dimension Labs designs hundreds of them for each business, with the same schema every run, so results compare cleanly over time and can be joined to business outcomes.

Can Dimension Labs automate analytics and BI work?

Yes. The agent learns your business, answers questions in plain English, builds any deliverable (decks, dashboards, PDF and executive reports, interactive data stories, spreadsheets, alerts) and runs on a schedule, so recurring work such as weekly CX reports, QBR decks and location reviews no longer has to be rebuilt by hand.

Prices and plan details were checked on November 12, 2026 from each vendor's public pages. Vendors change pricing; if something here is out of date, tell us at support@dimensionlabs.io and we will correct it within two business days.

Dimension Labs/Start with one file From $299 a month

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Start with one file. Ask why a number moved. Plans from $299 a month, no demo and no contract on monthly plans.

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