10 La mejor lista corta de software de inteligencia de productos
Con tantas soluciones diferentes de inteligencia de productos disponibles, puede ser complicado saber cuál es la adecuada para ti. Sabes que quieres rastrear el comportamiento del usuario, agilizar la recopilación manual de datos, obtener información de manera más eficiente y acceder a análisis detallados de tu competencia que refuercen tu toma de decisiones con analítica predictiva, pero necesitas averiguar qué herramienta es la mejor. ¡Te ayudo! En esta publicación te facilitaré la elección, compartiendo mis experiencias personales usando docenas de herramientas de inteligencia diferentes con equipos grandes y productos complejos, con mis selecciones del mejor software de inteligencia de productos.
Table of Contents
Por Qué Confiar en Nuestras Reseñas de Software
Llevamos revisando y probando software de gestión de productos desde 2020. Como product managers, sabemos lo crucial y complicado que es tomar la decisión correcta al seleccionar software. Invertimos en investigación profunda para ayudar a nuestra audiencia a tomar mejores decisiones de compra de software. Hemos probado más de 2,000 herramientas para distintos casos de uso y escrito más de 1,000 reseñas exhaustivas. Conozca cómo mantenemos la transparencia & nuestra metodología de reseñas de software.
Resumen del mejor software de inteligencia de productos
Esta tabla comparativa resume los detalles de precios de mis principales selecciones de software de inteligencia de productos para ayudarte a encontrar el mejor para tu presupuesto y necesidades de negocio.
| Tool | Best For | Trial Info | Price | ||
|---|---|---|---|---|---|
| 1 | Best for customer data integration | Free plan available | From $120/month | Website | |
| 2 | Best for drag-and-drop data analytics | Free trial + free plan available | From $15/user/month (billed annually) | Website | |
| 3 | Best for live video customer feedback | Free demo available | Pricing upon request | Website | |
| 4 | Best for mobile-first businesses | 30-day free trial + free demo available | From $75/month | Website | |
| 5 | Best for data exploration and visualization | Free plan available | From $9/user/project/month | Website | |
| 6 | Best for in-app user interaction tracking | 30-day free trial + free plan + free demo available | Pricing upon request | Website | |
| 7 | Best for capturing and analyzing product experience insights at scale with AI | 14-day free trial + free plan available | From $175/month (billed annually) | Website | |
| 8 | Best for capturing all user interactions automatically | Free plan + free trial + free demo available | Pricing upon request | Website | |
| 9 | Best for customer journey and funnel tracking | 7-day free trial + free demo available | From $99/month | Website | |
| 10 | Best for marketing performance tracking | Free demo available | Pricing upon request | Website |
Reseñas del mejor software de inteligencia de productos
A continuación encontrarás mis resúmenes detallados del mejor software de inteligencia de productos que entró en mi lista corta. Mis análisis ofrecen una visión detallada de las funciones clave, pros y contras, integraciones y casos de uso ideales de cada herramienta para ayudarte a encontrar la mejor para ti.
Segment operates as a powerful customer data platform, aiming to provide clean, reliable customer data to the tools which businesses use for analytics and growth. Its capacity to collect user events from web & mobile apps and provide a complete data toolkit makes it ideal for companies looking to improve their data integrity and customer understanding.
Why I Picked Segment:
I picked Segment for its high degree of proficiency in consolidating customer data. Its ability to funnel customer data into a single, unified view for multiple uses, including analytics, marketing, and product development, sets it apart from other tools. Its efficient data integration makes it the best choice for customer data integration.
Standout features & integrations:
Segment's primary features include data management, prototyping, identity resolution, and data privacy, all of which contribute to maintaining a clean and controlled data environment. As for integrations, Segment works well with a myriad of tools, such as Google Analytics, Mixpanel, and Mailchimp, which broadens its application for different business needs.
Pros and Cons
Pros:
- Extensive list of integrations with other platforms
- Provides a single view of customer data
- Offers robust data integration options
Cons:
- Some users may find the user interface complex to navigate
- May require technical skills to maximize its features
- The price point might be steep for small businesses
Tableau is a data visualization and business intelligence tool that helps users transform raw data into understandable, interactive dashboards. It has an easy-to-use interface with drag-and-drop features, making it an optimal choice for individuals or organizations that prefer intuitive, hands-on data analytics.
Why I Picked Tableau:
In my quest to find an effective tool for data analytics, I judged various contenders. Tableau emerged as my choice thanks to its straightforward user interface that allows even the most non-technical individuals to manipulate data with ease. Its exceptional drag-and-drop feature allows users to create visualizations quickly, making it an optimal choice for those in need of swift, uncomplicated data analytics.
Standout features & integrations:
Tableau offers robust features, including real-time data analytics, data blending, and collaborative capabilities. Perhaps the most noteworthy feature is its drag-and-drop interface that facilitates rapid dashboard and report creation. In terms of integrations, Tableau connects with a wide array of data sources, from databases like MySQL, Microsoft Teams, and Oracle, to cloud-based services like Google Analytics and Salesforce.
Pros and Cons
Pros:
- Real-time data analytics
- Wide range of data source integrations
- User-friendly drag-and-drop feature
Cons:
- Customer support could be improved
- Complex calculations can be challenging to implement
- Pricing can be expensive for smaller businesses
UserTesting is a platform that allows businesses to gain real-time insights into their customer's experiences. By enabling live video feedback from a diverse set of users, it offers an unparalleled window into understanding customer interactions and preferences. This makes it the best for capturing live video customer feedback, ensuring a deeper connection between businesses and their users.
Why I Picked UserTesting:
When I was assessing different feedback tools, UserTesting stood out due to its unique emphasis on live video feedback. The ability to see and hear users interact with your product in real-time presents a wealth of qualitative data that traditional feedback tools often overlook. I chose UserTesting as the best for live video customer feedback because it allows businesses to empathize with their customers at a granular level and adapt their strategies based on these insights.
Standout features & integrations:
UserTesting's key features include the ability to target specific user demographics, live video feedback sessions, and the option to ask follow-up questions. These allow for a thorough understanding of user experiences. In terms of integrations, UserTesting can be paired with many popular platforms like Slack, Jira, and Trello, making the workflow more streamlined.
Pros and Cons
Pros:
- Wide range of integrations with popular platforms
- Allows demographic targeting for feedback
- Provides live video feedback for in-depth insights
Cons:
- More quantitative data options would be beneficial
- The platform requires a learning curve to use effectively
- The cost per video might be high for smaller businesses
CleverTap is a comprehensive customer engagement and retention tool that offers a range of mobile marketing solutions. With its ability to analyze, segment, and engage users across mobile and web platforms, it proves to be an invaluable asset for mobile-first businesses.
Why I Picked CleverTap:
CleverTap caught my attention for its robust capabilities specifically geared toward mobile-first businesses. It is the tool's deep emphasis on mobile user engagement and the ability to leverage user behavior data for personalized marketing that sets it apart. In my view, CleverTap is best for mobile-first businesses due to its focus on delivering meaningful mobile user experiences and driving customer retention on mobile platforms.
Standout features & integrations:
Key features of CleverTap include behavior-based segmentation, real-time analytics, omnichannel marketing, and AI-powered predictive modeling. Each of these components is critical for creating and implementing effective mobile marketing strategies. In terms of integrations, CleverTap partners with several leading social media platforms like Facebook, Google Ads, LinkedIn, Zapier, and Shopify.
Pros and Cons
Pros:
- Integrates well with other major platforms
- Offers a comprehensive set of features
- Specialized tool for mobile-first businesses
Cons:
- Customer support can be improved
- A steep learning curve due to the multitude of features
- The pricing may not be affordable for small businesses
Looker is a data platform that empowers businesses to delve into their data, providing comprehensive tools for exploration and visualization. Its emphasis on creating interactive dashboards and extensive customization options make it ideal for organizations that need a deeper understanding of their data.
Why I Picked Looker:
In deciding on a tool for data exploration and visualization, I had to make a comparison of a wide variety of offerings. I selected Looker for its rich features and reputation for facilitating data-driven decision-making. What made Looker stand out is its powerful exploration capabilities coupled with an intuitive interface. This makes it best for any organization aiming for a hands-on approach to data visualization and exploration.
Standout features & integrations:
Key features of Looker include its flexible data modeling that allows for customization and control over how data is explored and delivered. Moreover, Looker's powerful graph and visualization tools create interactive dashboards that effectively communicate insights. When it comes to integrations, Looker provides connectivity with SQL databases and major data warehouse providers, including Google BigQuery, Amazon Redshift, and Snowflake, among others.
Pros and Cons
Pros:
- Highly customizable data modeling
- Extensive integrations with major data warehouses
- Robust data exploration and visualization capabilities
Cons:
- Can be expensive for small businesses
- Might be complex for non-technical users
- Lack of transparent pricing
Pendo is a product experience platform that allows businesses to understand their user's interactions within the app. It provides critical insights about in-app user behavior and leverages these to deliver a better user experience.
Why I Picked Pendo:
Pendo emerged as a strong contender in my research, primarily for its in-depth in-app interaction tracking capabilities. I noticed that Pendo excels at providing detailed analytics about how users navigate within an application. It stands apart from the rest because of its unique focus on maximizing user experience, which directly aligns with its prowess in tracking in-app interactions.
Standout features & integrations:
Pendo is loaded with features like user segmentation, which helps in targeting specific user groups. It offers rich feedback and analytics features, providing a holistic view of the user experience. Pendo’s integration capabilities are vast, supporting integration with major CRM and marketing tools like Salesforce, Marketo, and Slack.
Pros and Cons
Pros:
- Vast integration options
- Rich feedback and analytics capabilities
- Extensive in-app tracking
Cons:
- Custom pricing can lack transparency
- Steeper learning curve compared to similar platforms
- Pricing can be high for smaller businesses
Sprig
Best for capturing and analyzing product experience insights at scale with AI
Sprig is a product experience platform that offers tools such as session replay, heatmaps, surveys, feedback collection, and AI analysis to help businesses understand and optimize their users' experience. Its strength lies in AI-powered insights, which can turn user feedback and behavior data into actionable product learnings at scale.
Ian Gardner, Director of Sales and Business Development at Sigma Tax Pro, saw that firsthand:
“We assumed clients struggled most with the filing steps, but Sprig feedback showed the real issue was at the very beginning—people didn’t know what documents or data they needed up front. That insight shifted our roadmap toward better onboarding and prep tools, saving clients time and reducing frustration.”
Why I Picked Sprig:
I chose Sprig for its advanced suite of tools designed to capture and analyze user behavior, making it a strong candidate for product intelligence software. When comparing it to other tools, Sprig stands out due to its AI-powered capabilities that automate the analysis of user feedback and behavior, providing actionable insights in real time. This makes it particularly effective for teams looking to quickly identify and address product issues and opportunities.
Standout features & integrations:
Sprig's features enable users to capture and analyze user behavior, gather continuous feedback, and turn insights into actionable product improvements. The platform is designed to help various teams optimize their products, improve conversion rates, solve user pain points, and save time and resources.
For integrations, Sprig can be paired with Segment, Google Tag Manager, Mixpanel, Amplitude, Optimizely, LaunchDarkly, Figma, Sketch, Adobe XD, Slack, Zapier, Google Sheets, Salesforce, HubSpot, Intercom, and Gmail.
Pros and Cons
Pros:
- Intuitive sentiment analysis
- Seamless integration with design tools
- Automated insights generation
Cons:
- High dependency on user participation
- Limited customization options
- Complex setup for advanced features
Heap is a product analytics platform that makes user interactions and activity data instantly accessible and usable for businesses. Its primary strength is its automatic data capture feature, which eliminates the need for manual tracking setup, thereby reducing the chances of missed data or insights.
Why I Picked Heap:
I selected Heap for my list due to its automatic user interaction capture capability, which sets it apart from many other tools in the market. While most tools require manual configuration for tracking different events, Heap captures all user actions from the get-go, making it truly "best for capturing all user interactions automatically."
Standout features & integrations:
Heap's key features include automatic event capturing, retroactive analytics, and data governance, which offer a rich, flexible, and secure environment for data analysis. Heap smoothly integrates with platforms such as Salesforce, Optimizely, and Google Ads.
Pros and Cons
Pros:
- Integrates well with many commonly used platforms
- Ability to perform retroactive analytics
- Automatic capturing of all user interactions
Cons:
- Some users might find the user interface less intuitive than competitor platforms
- Can be expensive for small businesses or startups
- Custom pricing may lack transparency for potential customers
Kissmetrics is an advanced analytics platform that provides businesses with a deep understanding of their customer's behavior. Its specialty lies in tracking the customer journey and analyzing conversion funnels, making it an exceptional tool for businesses striving to improve their customer experience and conversion rates.
Why I Picked Kissmetrics:
I chose Kissmetrics for this list because of its unique focus on the customer journey and funnel tracking. It differentiates itself with its capacity to track individual customers across various touchpoints, providing valuable insights into their behavior and preferences. I believe that Kissmetrics stands out as the best option for businesses seeking to understand and improve their customer journey and conversion funnels.
Standout features & integrations:
Kissmetrics boasts standout features like behavioral tracking, segmentation, and funnel analysis. It allows businesses to track customer behavior across multiple devices and sessions, offering valuable insights that can drive conversion optimization. As for integrations, it partners with a wide array of platforms such as Shopify, WooCommerce, and HubSpot, thus enabling a flow of data across different tools.
Pros and Cons
Pros:
- Wide array of integrations
- Offers valuable behavioral insights
- Exceptional at tracking customer journey and conversion funnels
Cons:
- May be overkill for small businesses
- Steeper learning curve compared to other platforms
- High starting price
Adobe Analytics is a comprehensive analytics platform that offers a deep understanding of customers' interactions with your business. It's particularly suited for monitoring and optimizing marketing performance, as it integrates with other marketing tools and provides a plethora of data points for in-depth analysis.
Why I Picked Adobe Analytics:
After careful comparison and judgment of various analytics tools, I selected Adobe Analytics because it offers extensive marketing performance tracking capabilities. Its ability to pull data from a multitude of sources, combined with detailed segmentation and real-time analytics, sets it apart from other solutions. Thus, in my opinion, Adobe Analytics is best suited for those looking to monitor and optimize their marketing initiatives.
Standout features & integrations:
Some of the key features of Adobe Analytics include real-time analytics, segment discovery, anomaly detection, and contribution analysis. It excels at integrating various data sources, offering a unified view of the customer journey. As for integrations, Adobe Analytics pairs well with other Adobe Experience Cloud products like Adobe Target and Adobe Audience Manager.
Pros and Cons
Pros:
- Comprehensive customer journey analysis
- Deep integration with Adobe products
- Extensive marketing performance tracking
Cons:
- Limited integrations outside of the Adobe ecosystem
- Can be complex for beginners
- Pricing isn't transparent
Otros programas de inteligencia de productos
Aquí tienes algunas otras opciones de software de inteligencia de productos que no llegaron a mi lista corta, pero que igualmente valen la pena revisar:
- Mixpanel
For real-time data analytics
- SellerApp
For Amazon marketplace sellers
- Amplitude
For product and user behavior analytics
- Crazy Egg
Good for heat map tracking
- Qualaroo
Good for collecting user feedback
- Countly
Good for real-time mobile analytics
- Fullstory
Good for session replay functionalities
- AppDynamics
Good for application performance management
- Piwik PRO
Good for data privacy compliance
- MoEngage
Good for customer segmentation and engagement
How I Evaluate Product Intelligence Software
Product intelligence software is what a product manager turns to when they need to understand why users stop engaging after a feature launch, or what a retail team relies on to monitor competitor pricing shifts across thousands of SKUs in real time. When I evaluate tools in this space, I think in two layers: what every tool needs to do well enough to make the list, and what actually sets the stronger picks apart.
Core Functionality (Table Stakes for This List)
For product intelligence software, the core functionality I test and evaluate is:
- Data Collection: I look for flexible event tracking and data ingestion, whether that's auto-capturing user clicks in a SaaS app or pulling competitor SKU data across marketplaces.
- Product Analytics: Funnels, cohort breakdowns, and feature adoption metrics should be easy to build without SQL, so a PM can spot drop-off points in minutes.
- Segmentation: I evaluate how granularly you can slice data by user cohorts, product categories, geographies, or channels to isolate what's actually driving a trend.
- Dashboards & Reporting: Custom dashboards need to serve both a product lead tracking weekly engagement and an exec reviewing quarterly competitive positioning.
- Alerting & Monitoring: Real-time or near-real-time alerts matter. I check whether a tool can flag a competitor price drop or a sudden spike in feature abandonment automatically.
- Competitive Benchmarking: For market-facing tools, I evaluate the breadth and accuracy of competitor tracking across pricing, assortment, and feature sets.
- Integrations: The tool should connect to your existing stack. I look for native links to data warehouses like Snowflake, product tools like Jira, and BI platforms like Tableau.
A tool has to deliver most of these capabilities to earn a spot on the list. From there, I consider what sets each tool apart.
Standout Features (What Separates the Picks)
I look for automated insight surfacing, where the platform highlights product anomalies or missed opportunities without you needing to dig through dashboards. Natural language querying also stands out—being able to ask, “Which competitors just launched features in our core category?” and get an instant answer can reshape decision cycles. Predictive analytics and AI-driven forecasting are major value-adds if you’re tracking churn risk, pricing elasticity, or market trends at scale.
What I Weigh Beyond Features
Data freshness and coverage matter a lot here. I evaluate whether a tool delivers real-time or daily updates, because stale competitive pricing data is useless to an eCommerce team reacting to market shifts. Privacy and compliance posture is another factor I check, especially GDPR readiness and first-party data handling for teams tracking user behavior. I also consider pricing models closely—event-based pricing can spiral fast at scale, so I look at how costs grow alongside your product's user base or SKU count.
Cómo elegir un software de inteligencia de productos
Es fácil perderse en largas listas de funcionalidades y estructuras de precios complicadas. Para ayudarte a mantener el enfoque durante tu proceso único de selección de software, aquí tienes una lista de factores que debes tener en cuenta:
| Factor | Qué tener en cuenta |
|---|---|
| Escalabilidad | ¿Puede el software crecer con tu equipo? Ten en cuenta el crecimiento futuro y si la herramienta puede gestionar el aumento de datos y usuarios sin problemas de rendimiento. |
| Integraciones | ¿Se conecta con tus herramientas actuales? Comprueba que sea compatible con tu CRM, analíticas y plataformas de comunicación para evitar interrupciones en el flujo de trabajo. |
| Personalización | ¿Puedes adaptar el software a tus necesidades? Busca opciones para ajustar paneles, informes y flujos de trabajo según las preferencias de tu equipo. |
| Facilidad de uso | ¿Es la herramienta fácil de usar? Evalúa la curva de aprendizaje y si tu equipo podrá adaptarse rápidamente sin una formación extensa. |
| Implementación e integración inicial | ¿Qué tan sencilla es la puesta en marcha? Considera el tiempo y los recursos necesarios para el despliegue, incluyendo formación y soporte durante la transición. |
| Costo | ¿Se ajusta a tu presupuesto? Compara planes de precios, revisa cargos ocultos y valora el beneficio de las funcionalidades incluidas en cada nivel. |
| Medidas de seguridad | ¿Tus datos y tu privacidad están protegidos? Busca cifrado, controles de acceso de usuario y cumplimiento con las normativas de protección de datos aplicables. |
¿Qué es el software de inteligencia de productos?
El software de inteligencia de productos (PI) es una herramienta que ayuda a las empresas a recopilar y analizar datos sobre cómo los usuarios interactúan con sus productos. Normalmente, los gerentes de producto, los profesionales de marketing y los analistas de datos utilizan estas herramientas para tomar decisiones informadas y mejorar las ofertas de productos. Funcionalidades como el seguimiento del comportamiento del usuario, el análisis de datos y la elaboración de informes ayudan a comprender las necesidades de los clientes y a potenciar el desarrollo del producto. En general, estas herramientas ofrecen valiosas perspectivas para impulsar el éxito del producto y la satisfacción del cliente.
Características
Al seleccionar un software de inteligencia de productos, presta atención a las siguientes funciones clave:
- Seguimiento del comportamiento del usuario: Recopila datos sobre cómo los usuarios interactúan con tu producto para ayudar a identificar las funciones más populares y las áreas que requieren mejora.
- Análisis de datos: Proporciona herramientas para analizar datos de usuario y generar conocimientos que orienten las decisiones y estrategias de producto.
- Informes: Ofrece informes personalizables para visualizar tendencias de datos y seguir el rendimiento del producto a lo largo del tiempo.
- Segmentación de audiencia: Permite categorizar a los usuarios en función de su comportamiento y características para un análisis y marketing dirigido.
- Análisis predictivo: Utiliza datos históricos para anticipar tendencias futuras y comportamientos de los usuarios, facilitando la toma de decisiones proactiva.
- Capacidades de integración: Se conecta con otras herramientas y plataformas para garantizar un flujo de datos fluido y un análisis integral.
- Paneles personalizables: Permite adaptar la interfaz para mostrar las métricas e indicadores más relevantes para tu equipo.
- Procesamiento de datos en tiempo real: Proporciona información instantánea sobre las interacciones de los usuarios, lo que permite responder rápidamente a tendencias y problemas.
- Salvaguardas de seguridad: Garantiza la protección de los datos mediante cifrado y controles de acceso, manteniendo segura la información del usuario.
- Tours interactivos por el producto: Guía a los nuevos usuarios por las funciones, mejorando el proceso de incorporación y la experiencia del usuario.
Beneficios
Implementar un software de inteligencia de productos aporta varios beneficios para tu equipo y tu empresa. A continuación, algunos de los que puedes esperar:
- Toma de decisiones mejor fundamentada: El acceso a análisis de datos detallados ayuda a tu equipo a tomar decisiones informadas de producto basadas en el comportamiento real de los usuarios.
- Mejor comprensión del cliente: El seguimiento del comportamiento del usuario ofrece información sobre las necesidades y preferencias de los clientes, permitiendo mejoras más acertadas en el producto.
- Mayor eficiencia: Los informes automatizados ahorran tiempo al proporcionar acceso rápido a métricas clave e indicadores de rendimiento.
- Desarrollo proactivo: El análisis predictivo permite a tu equipo anticipar tendencias y planificar mejoras antes de que surjan problemas.
- Esfuerzos de marketing más precisos: La segmentación de audiencia permite estrategias de marketing más específicas al identificar grupos de usuarios concretos.
- Mejor experiencia de usuario: Los tours interactivos y las funciones de incorporación mejoran la satisfacción del usuario al facilitar el aprendizaje y el uso del producto.
- Garantía de seguridad de los datos: Las salvaguardas de seguridad protegen los datos del usuario, asegurando el cumplimiento de regulaciones de privacidad y generando confianza en los clientes.
Costes y precios
Seleccionar un software de inteligencia de productos requiere comprender los diferentes modelos y planes de precios disponibles. Los costes varían según las características, el tamaño del equipo, los complementos y más. La siguiente tabla resume los planes más habituales, sus precios promedio y las funcionalidades típicas incluidas en soluciones de software de inteligencia de productos:
Tabla comparativa de planes para software de inteligencia de productos
| Tipo de plan | Precio promedio | Funciones comunes |
|---|---|---|
| Plan gratuito | $0 | Análisis básicos, seguimiento de usuarios limitado e informes básicos. |
| Plan personal | $5-$25/user/month | Análisis avanzados, paneles personalizados y soporte por correo electrónico. |
| Plan empresarial | $30-$60/user/month | Segmentación de usuarios, capacidades de integración y soporte prioritario. |
| Plan corporativo | $75-$150/user/month | Análisis predictivos, gestor de cuenta dedicado y funciones avanzadas de seguridad. |
Preguntas frecuentes sobre software de inteligencia de producto
Aquí tienes respuestas a preguntas comunes sobre el software de inteligencia de producto:
¿Cómo recopila datos el software de inteligencia de producto?
El software de inteligencia de producto recopila datos mediante diversos métodos, incluyendo el seguimiento de las interacciones de los usuarios en tu sitio web o app, la integración con otras herramientas como los CRM y la importación de conjuntos de datos existentes. Utiliza cookies, seguimiento de eventos y conexiones API para obtener la información. Debes asegurarte de que tu software cumpla con las regulaciones de privacidad de datos como el RGPD al recolectar datos de los usuarios.
¿El software de inteligencia de producto puede trabajar entre varios equipos?
Sí, la mayoría de las herramientas pueden dar soporte a los equipos de producto, marketing y soporte al mismo tiempo. Cada equipo puede usar diferentes paneles para centrarse en lo que les interesa. Los gerentes de producto suelen revisar el uso de las funciones, mientras que los responsables de marketing se enfocan en las conversiones. Puedes configurar niveles de acceso personalizados para evitar información irrelevante.
¿Cómo usan los equipos de producto los embudos en el software de inteligencia de producto?
Los embudos te ayudan a medir cómo avanzan los usuarios a través de flujos clave como el onboarding o el proceso de compra. Así puedes identificar dónde abandonan los usuarios y probar cambios para mejorar ese paso. Los equipos de producto suelen crear embudos tanto para usuarios nuevos como recurrentes. También puedes desglosarlos por segmento o plataforma.
¿Es necesario capacitarse para utilizar el software de inteligencia de producto?
Sí, normalmente se requiere algo de capacitación para utilizar eficazmente el software de inteligencia de producto. Aunque muchas herramientas son fáciles de usar, entender todas las funcionalidades puede requerir tutoriales o sesiones de formación. Busca un software que ofrezca recursos completos de incorporación como videos, seminarios web y documentación para que tu equipo se ponga al día rápidamente.
¿Qué sigue?
Si estás investigando software de inteligencia de producto, contacta gratis con un asesor de SoftwareSelect para recibir recomendaciones personalizadas.
Sólo tienes que rellenar un formulario y tener una rápida conversación donde hablarán en detalle sobre tus necesidades. Después recibirás una lista corta de software que puedes revisar. Incluso te acompañarán durante todo el proceso de compra, incluidas las negociaciones de precio.
