10 Mejor Lista Corta de Software de Analítica para Comercio Electrónico
Existen tantos tipos de software de analítica para ecommerce que hacer una lista corta de los mejores puede ser complicado. Quieres seguir métricas clave como tasas de conversión, valor promedio de pedido y costes de adquisición de clientes—y ahora necesitas la herramienta adecuada para tu operación de comercio en línea. ¡Te tengo cubierto! En este artículo, comparto desde mi experiencia personal gestionando tiendas online de todos los tamaños, utilizando muchas plataformas de análisis diferentes con equipos dinámicos, y te cuento cuáles son mis elecciones del mejor software de analítica para ecommerce en general.
Por Qué Confiar en Nuestras Reseñas de Software
Hemos estado probando y revisando software y servicios de retail y comercio electrónico desde 2021. Como expertos minoristas, sabemos lo crítico y difícil que es tomar la decisión correcta al seleccionar un software. Invertimos en una investigación profunda para ayudar a nuestra audiencia a tomar mejores decisiones de compra de software. Hemos probado más de 2,000 herramientas para diferentes casos de uso en finanzas y contabilidad, y escrito más de 1,000 reseñas completas de software. Descubre cómo mantenemos la transparencia y nuestra metodología de revisión.
Tabla Comparativa del Mejor Software de Analítica para Ecommerce
Este cuadro comparativo resume los detalles básicos de cada una de mis selecciones principales de software de analítica para ecommerce. Puedes ver los detalles de precios y la disponibilidad de pruebas gratuitas o demos lado a lado para ayudarte a encontrar el mejor software que se ajuste a tu presupuesto.
| Tool | Best For | Trial Info | Price | ||
|---|---|---|---|---|---|
| 1 | Best ecommerce analytics software for multiple heatmap types | 14-day free trial + free plan + free demo available | From $25/month (billed annually) | Website | |
| 2 | Best ecommerce analytics software for self-serve product analytics | Free plan + free demo available | From $1200/year (billed annually) | Website | |
| 3 | Best ecommerce analytics software for customer experience insights | Free demo available | Pricing upon request | Website | |
| 4 | Best ecommerce analytics software for analyzing omnichannel customer journeys | Free demo + 30-day free trial available | From $416.25/month (billed annually) | Website | |
| 5 | Best ecommerce analytics software for automatic data capture | Free plan + free trial + free demo available | Pricing upon request | Website | |
| 6 | Best ecommerce analytics software for behavioral analytics | 7-day free trial + free demo available | From $99/month | Website | |
| 7 | Best ecommerce analytics software for Shopify stores | Free plan + free demo available | From $219/month | Website | |
| 8 | Best ecommerce analytics software for a single source of truth | Free demo available | Pricing upon request | Website | |
| 9 | Best ecommerce analytics software for cross-platform visibility | Free demo available | Pricing upon request | Website | |
| 10 | Best ecommerce analytics software for cookie-less tracking | Freemium plan + free demo available | From $55/month (billed annually) | Website |
Reseñas de los 20 Mejores Software de Analítica para Ecommerce
Aquí tienes una breve descripción de cada software de analítica para ecommerce que presenta el mejor caso de uso de cada sistema, sus funciones destacadas y algunos pros & contras. También he incluido capturas de pantalla para darte una idea de su interfaz de usuario.
Best ecommerce analytics software for multiple heatmap types
Mouseflow is a behavior-based web analytics platform that optimizes website experiences to improve conversions.
Why I picked Mouseflow: The software allows you to watch website visitor sessions, and build up to six heatmap types to track activity. You can also set up funnels to show where visitors drop off (and why). The form analytics tools help improve lead generation, while feedback campaigns gather additional information about visitors.
In addition, you can analyze your data in multiple ways using advanced filtering options. Mouseflow also offers machine learning to accelerate optimization and revenue growth.
Mouseflow Standout Features and Integrations
Features include advanced heatmaps, friction scores, scroll maps, conversion funnels, session replay, rich visualizations, and pattern identification.
Integrations include Google Sheets, Gmail, HubSpot, Mailchimp, Microsoft Outlook, Notion, Slack, Spreedly, Trello, and Twitter.
Pros and Cons
Pros:
- Good balance between cost and features
- Maps the whole customer journey
- Inexpensive and easy-to-use
Cons:
- Friction score is confusing
- Heatmaps are hard to modify
Mixpanel
Best ecommerce analytics software for self-serve product analytics
Mixpanel is a product analytics solution that offers insights into audience behavior and tracks customer journeys.
Why I picked Mixpanel: The software enables you to convert leads into customers, generate custom reports, view top user flows, build funnels, create cohorts in bulk, and automate workflows. Tools offered include A/B testing, audience targeting, data visualization, conversion tracking, and statistical analysis.
Mixpanel helps you manage campaigns and improve conversion rates. You can also receive alerts for product updates and monitor products' key performance indicators (KPIs).
Mixpanel Standout Features and Integrations
Features include real-time reporting, standard event tracking, engagement metrics, custom event tracking, segmentation, funnels, and custom dashboards.
Integrations include AB Tasty, Alooma, Apptimize, Branch Metrics, Chartio, Google Cloud Platform, HubSpot, Intercom, and Spreedly. Mixpanel also includes an application programming interface (API), to facilitate integration with third-party ecommerce platforms too.
Pros and Cons
Pros:
- Segment integration
- Tracks both events and profiles
- Easy to visualize data
Cons:
- Documentation is sometimes outdated
- Steep learning curve
Glassbox
Best ecommerce analytics software for customer experience insights
Glassbox aims to show you precisely what your customers do and why. The software delivers insights designed to drive customer growth and increase loyalty.
Why I picked Glassbox: Glassbox offers user experience insights that provide a deeper understanding of your customers, so you can grow your ecommerce business faster. The system helps you design experiences that maximize conversions, build customer-centric products, fix technical issues, and react to customer feedback faster.
The software eliminates the need to tag individual page elements, events, or conversion points. Instead, every user behavior and technical element is captured automatically. As a result, you obtain a complete picture of your users' experience across web and mobile apps.
You can look retroactively at any session or user cohort and get instant answers. All session data is available in real-time, enabling you to pinpoint issues as they arise. Augmented journey maps show abandonment rate issues or unexpected behaviors, and provide AI-driven insights, so you can fix problems fast.
Glassbox Standout Features and Integrations
Features include tagless data capture, augmented journey maps, metrics, digital analytics, entry and exit page data, standard event tracking, sales funnel reporting, custom reports, and dashboards.
Integrations include Adobe Analytics, AppDynamics, Dynatrace, Google Analytics, Medallia, NewRelic, Qualtrics, Slack, Splunk, and Verint.
Pros and Cons
Pros:
- A/B testing
- Mobile app reporting
- User-friendly interface
Cons:
- Glitchy user interface
- Email templates need work
Woopra
Best ecommerce analytics software for analyzing omnichannel customer journeys
With website, support, marketing, and purchase data all in one platform, Woopra provides all the tools you need to understand your customers and encourage repeat purchases.
Why I picked Woopra: The software allows you to build journeys that map every customer touchpoint, trigger text messages, and inform retargeting campaigns with behavioral data. Follow unique journeys from a visitor’s first contact with your brand to becoming a loyal customer.
People profiles assist team members, whether they’re answering a support ticket or engaging in a live-chat conversation. In real-time, they can see every action previously taken by the customer, including their purchase history and use of coupons.
Woopra tells you where you’re losing visitors in the purchase process, what steps led to conversion, what errors customers made, and how to identify a good customer.
Woopra Standout Features and Integrations
Features include full-funnel attribution, onboarding optimization, feature usage trends, subscription growth, and cohort analysis.
Integrations include ActiveCampaign, HubSpot, LiveChat, Marketo, RedShift, Salesforce, Shopify, Slack, Stripe, and Zendesk.
Pros and Cons
Pros:
- Detailed live updates
- Great metrics out of the box
- An attractive interface
Cons:
- Occasional bugs
- Pages may load slowly
Heap is a digital insights platform that gives you a detailed understanding of customer journeys on your ecommerce website, so you can quickly improve conversion and retention rates.
Why I picked Heap: A single snippet of code automatically captures the entire digital experience of every user without the need for special engineering. As a result, you get a complete dataset to help you make data-driven decisions. You can then optimize shoppers’ journeys and identify customer behaviors that most impact conversion.
Heap’s data science layer scours complete behavioral data sets to uncover hidden friction points. It also pinpoints opportunities to improve your bottom line. Using this software, you can reduce cart abandonment, increase average order value, drive brand loyalty, and improve customer retention.
Heap Standout Features and Integrations
Features include automatic data collection, session replay, digital insights, self-serve analysis, and data science tools.
Integrations include Amazon S3, BigQuery, Intercom, Iterable, Marketo, RedShift, Salesforce, Shopify, Snowflake, and Zendesk.
Pros and Cons
Pros:
- Includes unlimited user licenses
- Records all data automatically
- Excellent collaboration tools
Cons:
- Limited customization options
- Confusing for non-techies
Best ecommerce analytics software for behavioral analytics
Kissmetrics is a cloud-based customer engagement and email campaign solution designed to help you understand website visitors through behavior-based analysis.
Why I picked Kissmetrics: At a glance, you can see key metrics such as total sales, total revenue, average revenue per person, new visitors, the visitor-to-purchase conversion rate, cart-to-purchase conversion rate, and ecommerce site searches.
Kissmetrics shows you who your big spenders are and what they have in common. You can identify how you acquired them and whether your first-time and repeat purchaser populations are growing or shrinking.
The detailed customer activity reports highlight your most viewed, added to shopping cart, and purchased products. You can quickly discover which categories and products are trending, identify popular discount offers, and see what percentage of searches end in a purchase. You can also drill down into sales and revenue by category, device type, traffic source, or campaigns.
Kissmetrics Standout Features and Integrations
Features include data management, events, reporting, campaigns, and customer profiles.
Integrations include Appcues, Chargify, Facebook, HubSpot, Instagram, Magento Go, Recurly, Shopify, Slack, and WooCommerce.
Pros and Cons
Pros:
- Scheduled reporting
- Quick access to reports
- Comprehensive data tracking
Cons:
- Dashboards are not customizable
- Setup can be confusing
Triple Whale allows Shopify store owners to turn real-time data into profitable growth while saving time and money on managing analytics and attribution.
Why I picked Triple Whale: Through data aggregations, visualizations, and attribution tracking, the SaaS software provides essential metrics clearly and transparently. Their proprietary pixel technology tracks first-party customer purchase data to the ad level. Shopify business owners can get clarity on where shoppers are coming from, what they’re buying, and how they can be reached more effectively in the future.
Thanks to six attribution models and journey mapping, the pixel provides performance metrics that accurately reflect the store's health. Triple Whale offers unlimited users and store integrations, plus Android and iOS mobile apps.
Triple Whale Standout Features and Integrations
Features include automated email and Slack reporting, mean/median/mode AOV (average order value) data, customer lifetime value reporting, cohort analysis, and product journeys.
Integrations include Attentive, EnquireLabs, Facebook, Google Ads, Google Analytics, Gorgias, Klaviyo, Pinterest, Shopify, Snapchat, and TikTok.
Pros and Cons
Pros:
- Very accurate tracking
- Real-time, advanced analytics
- Tracks conversions across marketing channels
Cons:
- For Shopify stores only
- Onboarding could be improved
MikMak Insights is an ecommerce analytics tool that helps you gain a complete understanding of consumers’ online behavior and preferences.
Why I picked MikMak Insights: The software provides a single source of truth about your customers’ online shopping journeys, tracking online behavior across multiple platforms. It identifies the media and creatives driving sales and analyzes purchase intent by audience, channel, and campaign. MikMak Insights also surfaces consumer shipping insights and benchmarks against category and historical performance.
It uses first-party data to help you understand how your target audience behaves across various platforms, retailers, and marketing campaigns. As a result, you can shorten the path to purchase, identify which marketing strategies move the needle, and present the right creatives at the right time. You can also drive customer acquisition by optimizing the checkout process at a consumer’s preferred retailer, then reviewing performance.
MikMak Insights Standout Features and Integrations
Features include an activity dashboard, automatic location detection, campaign analytics, campaign management, campaign segmentation, and channel analytics.
Integrations include Amazon, Facebook, Google Analytics, Instagram, Pinterest, Salesforce, Snapchat, TikTok, Twitter, and YouTube.
Pros and Cons
Pros:
- User-friendly analytics dashboard
- Easy to track media and sales
- Improved continuously
Cons:
- Some duplication of data
- Implementation takes time
Beacon, developed by Stackline, connects data across your ecommerce business, providing end-to-end performance insights across multiple platforms.
Why I picked Beacon: Covering everything from market dynamics to marketing performance, this software suite helps you scale by providing clear visibility into every SKU sold on every platform. You can track your sales, marketing, and advertising activities across every retailer. Thanks to precision segmentation, you can gain real-time insights into each product. You can also set alerts for price changes, inventory issues, or other critical events.
The software increases sales and profitability by surfacing essential business metrics that help you win the buy box. You get competitor insights, identifying and evaluating the buy-box winner on each retail platform. You can measure traffic by source, volume, and efficiency and benchmark your performance against competitors.
Beacon Standout Features and Integrations
Features include seller monitoring, keyword management, catalog compliance, pricing policy monitoring, content compliance, and review management.
Integrations include Amazon, Best Buy, Costco, Flipkart, Instacart, JD.com, Kroger, Target, Walmart, and Wayfair.
Pros and Cons
Pros:
- Wide, global reach
- Holistic view of performance
- Multi-platform reach
Cons:
- High starting costs
- Not suitable for small stores
OWOX provides digital marketing analytics for retail and ecommerce businesses, using cookie-less tracking to offer insights into customer behavior.
Why I picked OWOX: OWOX automatically collects and merges data from advertising services, websites, applications, and CRM systems. The data gathered includes canceled and corporate orders, purchases from call centers, and orders from offline stores. Store owners can see the actual profit generated by each channel, campaign, and keyword.
OWOX offers server-side tracking and real-time streaming of user behavior data directly from your website. This is presented in Google Analytics 4 format, giving users complete, high-quality data to inform decisions. Conversion modeling ensures that even purchases from non-consenting users are accounted for.
OWOX Standout Features and Integrations
Features include ROI tracking, data collection, customer insights, multi-user access, campaign activity, campaign stickiness, and brand optimization.
Integrations include BigQuery, Facebook, Google Analytics, LinkedIn, Mailchimp, Ringostat, and Twitter.
Pros and Cons
Pros:
- Detailed marketing insights
- A significant time saver
- Automates data collection and processing
Cons:
- Occasional technical glitches
- Requires good analytical skills
Otras Opciones
Aquí tienes algunas otras opciones que vale la pena considerar y que no están en la lista de los mejores software de analítica para ecommerce:
- Profitero
Ecommerce analytics software for all-in-one intelligence & activation
- CartInsight
Ecommerce analytics software for analyzing store data
- Crazy Egg
Ecommerce analytics software for heatmaps and A/B testing
- Hotjar
Ecommerce analytics software for detailed analysis of user sessions
- Google Marketing Platform
Ecommerce analytics software for detailed insights at zero cost
- DataWeave
Ecommerce analytics software for actionable insights into Amazon ads
- Conjura
Ecommerce analytics software for automated performance reporting
- Glew
Ecommerce analytics software for advanced customer segmentation
- Littledata
Ecommerce analytics software for direct-to-consumer brands
- Metrilo
Ecommerce analytics software for ecommerce funnel analysis
Cómo Seleccioné el Mejor Software de Analítica para Ecommerce
Si te preguntas cómo seleccioné el mejor software de analítica para ecommerce para esta lista, aquí tienes el proceso que seguí.
Revisé una amplia variedad de herramientas con valoraciones positivas de los usuarios y luego depuré mi lista según los criterios de selección que indico a continuación. También recurrí a mi experiencia personal utilizando herramientas de ecommerce para obtener una visión más profunda.
How I Evaluate Ecommerce Analytics Software
I split my evaluation into two layers: the baseline every tool must cover—SKU-level reporting, funnel drop-off tracking, platform integrations—and the differentiators that set the best options apart.
Core Functionality (Table Stakes For This List)
When I'm selecting tools for my list, I rank each one on a scale from 0 (does not offer the functionality) to 5 (excels in this area) for each core functionality listed below. Then, I calculate the tool's total score into a percentage. Each tool needs to achieve a minimum total score of 65% to be considered for inclusion.
- Sales & Revenue Tracking: I check whether a tool can break down revenue by channel, timeframe, and customer segment—not just show a single order total for the whole store.
- Customer Behavior Analytics: Session-level and event-level data matter here, like seeing which product pages a shopper viewed before adding to cart or bouncing.
- Conversion Funnel Analysis: I look for tools that map the full path from product view to checkout and flag exactly where drop-off spikes, especially at cart and payment steps.
- Product & Inventory Insights: SKU-level reporting is what I evaluate—top sellers, return rates, and category contribution, not just a generic "best products" list.
- Marketing Attribution: The tool should connect actual revenue back to traffic sources and campaigns, so you can compare paid search ROAS against email or social performance.
- Ecommerce Platform Integrations: I look for native connectors to platforms like Shopify, BigCommerce, Magento, and WooCommerce, plus ad networks and marketing tools.
Once I have a list of tools that meet this criteria, I consider what sets each platform apart.
Differentiating Factors (What Sets Vendors Apart)
Here's how I compare and contrast different vendors:
Standout Features
CLV modeling is a major differentiator. I look for tools that predict customer lifetime value by segment, helping you identify which acquisition channels bring in repeat buyers rather than one-time purchasers. Cohort and retention analysis complements this by showing repurchase curves over time. AI-powered insights also carry weight—tools that flag anomalies like a sudden conversion dip or a trending SKU save hours of manual dashboard digging. Real-time alerts that push to Slack or email during a flash sale give your team the speed to act before revenue is lost.
Beyond Features
Data accuracy matters more than most buyers realize. I check whether a tool offers server-side tracking to work around ad blockers and iOS privacy changes that skew session and conversion data. Tech stack compatibility is just as important—your analytics platform needs to feed data to and from your ad platforms, email tools, and CRM without manual CSV exports. Scalability is another factor I evaluate, especially for brands running multiple storefronts or selling across marketplaces alongside their DTC site.
¿Qué es un Software de Analítica para Ecommerce?
El software de analítica para ecommerce es una herramienta que recopila y analiza datos de operaciones de venta online. Realiza un seguimiento e interpreta las interacciones de los clientes, el rendimiento de las ventas y el tráfico web, proporcionando información valiosa sobre el comportamiento del consumidor y la eficacia empresarial. Este software ayuda a los negocios de ecommerce a entender cuáles productos son populares, cómo navegan los usuarios por su sitio y qué estrategias de marketing son más efectivas. Combinado con buenas herramientas de atención al cliente, las empresas pueden crear un enfoque integral para optimizar la experiencia del cliente.
La Gente También Pregunta
Aquí tienes algunas respuestas a las preguntas que la gente más frecuentemente me hace sobre el software de analítica para ecommerce y cómo funciona.
¿Qué es la analítica para ecommerce?
¿Qué características suelen incluir los programas de analítica para ecommerce?
¿Cuáles son los principales beneficios de usar software de analítica para ecommerce?
Reflexiones Finales
Con esto concluye mi reseña sobre los mejores sistemas de analítica para ecommerce. Pero mientras estás aquí, asegúrate de consultar nuestros muchos otros artículos para propietarios de tiendas online. Por ejemplo, no te pierdas nuestra publicación sobre formas sencillas de lograr un crecimiento del 40% en las ventas de ecommerce.
Recuerda también suscribirte a nuestro boletín de Ecomm Manager para recibir las últimas ideas de los principales referentes en el mundo del ecommerce.
