---
description: Información actualizada sobre Deep Talk. Lee opiniones verificadas y descubre funciones, características, precios y usabilidad. Obtén rápidamente una visión general de ventajas y desventajas. Compara Deep Talk con productos similares.
image: https://gdm-localsites-assets-gfprod.imgix.net/images/getapp/og_logo-94fd2a03a6c7a0e54fc0c9e21a1c0ce9.png
title: Deep Talk: precios, funciones y opiniones | GetApp México 2026
---

Breadcrumb: [Inicio](/) > [Herramientas para medir la satisfacción del cliente](/directory/1029/customer-satisfaction/software) > [Deep Talk](/software/2055740/deep-talk)

# Deep Talk

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> Deep Talk transforma las conversaciones de texto con los clientes en datos valiosos con el fin tanto de aumentar las ventas como de mejorar la experiencia del cliente y los productos utilizando inteligencia artificial.
> 
> Veredicto: 12 usuarios lo han valorado con **4.8/5**. De los mejores valorados en **Probabilidad de recomendación**.

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## Estadísticas y valoraciones rápidas

| Métrica | Calificación | Detalles |
| **En general** | **4.8/5** | 12 Opiniones |
| Facilidad de uso | 4.8/5 | Basado en las opiniones generales |
| Asistencia al cliente | 4.6/5 | Basado en las opiniones generales |
| Relación calidad-precio | 4.8/5 | Basado en las opiniones generales |
| Funciones | 4.6/5 | Basado en las opiniones generales |
| Porcentaje de recomendaciones | 90% | (9/10 Probabilidad de recomendación) |

## Sobre el proveedor

- **Empresa**: Deep Talk

## Contexto comercial

- **Precio inicial**: USD 0.00
- **Modelo de precios**:  (Prueba gratis)
- **Detalles de precios**: Plan Basic (Free): &#10;Startup ($90): &#10;Pro ($170): &#10;Enterprise ($400):
- **Público objetivo**: 2-10, 11-50, 51-200, 201-500, 501-1,000, 1,001-5,000, 5,001-10,000, 10,000+
- **Despliegue y plataformas**: Cloud, SaaS, Web
- **Idiomas admitidos**: alemán, español, francés, inglés, portugués, portugués de Brasil, portugués de Portugal
- **Países disponibles**: Albania, Alemania, Andorra, Argentina, Australia, Austria, Bielorrusia, Bolivia, Bosnia y Herzegovina, Brasil, Bulgaria, Bélgica, Canadá, Chequia, Chile, Chipre, Ciudad del Vaticano, Colombia, Croacia, Dinamarca y 53 más

## Funciones

- API
- Agrupación temática
- Análisis de evolución de ventas
- Análisis de sentimientos
- Análisis de tendencias
- Análisis de texto
- Análisis predictivo
- Análisis visual
- Aprendizaje automático
- Búsqueda de lenguaje natural
- Búsqueda de texto completo
- Búsqueda/filtro
- Cartografiado de datos
- Cartografía del viaje de cliente
- Categorización/Agrupación
- Clasificación de temas
- Creación de informes y estadísticas
- Creación de informes/análisis
- Descubrimiento de datos
- Descubrimiento visual

## Integraciones (en total: 5)

- Google Sheets
- Intercom
- SurveyMonkey
- Typeform
- Zapier

## Opciones de asistencia

- E-mail/Help Desk
- Preguntas frecuentes/foro
- Base de conocimientos
- Chat

## Categoría

- [Herramientas para medir la satisfacción del cliente](https://www.getapp.com.mx/directory/1029/customer-satisfaction/software)

## Categorías relacionadas

- [Herramientas para medir la satisfacción del cliente](https://www.getapp.com.mx/directory/1029/customer-satisfaction/software)
- [Programas de motivación para los trabajadores](https://www.getapp.com.mx/directory/715/employee-engagement/software)
- [Software de gestión de experiencia del cliente](https://www.getapp.com.mx/directory/601/customer-experience/software)
- [Herramientas de análisis de datos](https://www.getapp.com.mx/directory/1129/data-analysis/software)
- [Software de Text Mining](https://www.getapp.com.mx/directory/1161/text-mining/software)

## Alternativas

1. [SAS Viya](https://www.getapp.com.mx/software/2065099/sas-viya) — 4.4/5 (12 reviews)
2. [MonkeyLearn](https://www.getapp.com.mx/software/109693/monkeylearn) — 4.3/5 (4 reviews)
3. [Cauliflower](https://www.getapp.com.mx/software/2049873/cauliflower) — 4.9/5 (12 reviews)
4. [Accern](https://www.getapp.com.mx/software/2039343/accern) — 5.0/5 (1 reviews)
5. [Kimola Cognitive](https://www.getapp.com.mx/software/2066814/kimola-cognitive) (0 reviews)

## Opiniones

### "DeepTalk tells you what your data is really saying vs what you want it to say. Invaluable tool." — 5.0/5

> **David** | *9 de mayo de 2022* | Mercados de capitales | Valoración de la recomendación: 10.0/10
> 
> **Puntos a favor**: I don investment research and I am able to feed it FOMC minutes, statements, speeches, etc. I can feed it earnings calls or anything really. It does a great job of breaking down what is being said and showing the trend over time plus so much more. I have been using it a lot and find new insight every day.
> 
> **Puntos en contra**: this space is relatively new so I am not sure what it is lacking. The only thing it needs is an API, but I knew that coming in and it should be released to us in the next 3-6 weeks, so I dont look at it as a con.
> 
> I have loved it. Really cool, interesting, and incredibly useful data analysis. I am using it for economic and market analysis. This is taking parts of my process to a different level. And the graphics are next level as well so they make reports looks great.

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### "Test your machine learning ideas quickly and easily" — 4.0/5

> **Paul** | *23 de mayo de 2022* | Producción audiovisual | Valoración de la recomendación: 8.0/10
> 
> **Puntos a favor**: If you have some data and a problem to solve then Deep Talk is an excellent way of testing if machine learning and NLP can add value. It "understands" your data much more readily than other systems I've used and then provides a pipeline to running inference models without complex machine learning engineering.
> 
> **Puntos en contra**: Once you've reaped that automatic benefits of Deep Talk from your data and your problem set there is no clear path forward. Typically in machine learning you establish a baseline and then iterate, through data and code, on improving that score. With Deep Talk I don't know see how this is possible as there is no export to code or export to another more customisable machine learning platform.
> 
> Excellent, more companies should be testing if the data and problems they have can be enhanced with machine learning. Deep Talk makes this easy.

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### "Experience using this Machine Learning Platform for clustering the Wine review dataset" — 4.0/5

> **Fnu** | *5 de abril de 2022* | Consultoría de gestión | Valoración de la recomendación: 7.0/10
> 
> **Puntos a favor**: Topics and Subtopics related connection, Time series of the graph, Unburst chart and many more functionalities.&#10;Ease of use and User experience, easy to create projects and classify and train the model.
> 
> **Puntos en contra**: The tool also analyzed the additional column input with the dataset which gave additional analysis for user city, manufacturer, Id, categories, etc. but they were not that refined charts, thus it was ignored for my analysis in the project. In my view, the software can further improve to understand multiple columns of data and give a proper analysis of additional columns of data. The representation of the charts for these dataset were of negligible use. The additional columns should be used to aid in the primary analysis, which I found was lacking in this platform
> 
> I had quite nice experience with the tool. I was able to generate useful visualizations and draw actionable insights along with deriving key insights from the project results, however, I had to navigate to another platform for using sentiment analysis for the same dataset. so it was a learning experience using this platform with the provided features but also had to use more tool for doing Sentiment analysis that helped me to quickly understand the metrics for positive, negative and neutral reviews.

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### "Flexible data analysis tool" — 5.0/5

> **Mini** | *1 de diciembre de 2023* | Dispositivos médicos | Valoración de la recomendación: 10.0/10
> 
> **Puntos a favor**: Deep Talk provides me with a lot of option of platforms that can be connected like hubspot, Zendesk etc. it also displays great infographics to help me properly visualize the data.
> 
> **Puntos en contra**: Its a very useful and valuable tool for me.

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### "Make sense of unstructured data" — 5.0/5

> **Kejda** | *18 de mayo de 2022* | Marketing y publicidad | Valoración de la recomendación: 9.0/10
> 
> **Puntos a favor**: It works well at extracting insights from unstructured text for sentiment analysis and topic clustering
> 
> **Puntos en contra**: Relative lack of integrations — currently must import my data as CSV

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