Best Digital Analytics Tools for Xplenty

Find and compare the best Digital Analytics tools for Xplenty in 2024

Use the comparison tool below to compare the top Digital Analytics tools for Xplenty on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Looker Reviews
    Top Pick
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    Looker reinvents the way business intelligence (BI) works by delivering an entirely new kind of data discovery solution that modernizes BI in three important ways. A simplified web-based stack leverages our 100% in-database architecture, so customers can operate on big data and find the last mile of value in the new era of fast analytic databases. An agile development environment enables today’s data rockstars to model the data and create end-user experiences that make sense for each specific business, transforming data on the way out, rather than on the way in. At the same time, a self-service data-discovery experience works the way the web works, empowering business users to drill into and explore very large datasets without ever leaving the browser. As a result, Looker customers enjoy the power of traditional BI at the speed of the web.
  • 2
    Mixpanel Reviews
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    Mixpanel

    Mixpanel

    $89 per month
    8 Ratings
    Mixpanel's mission is to increase innovation. Mixpanel is not only a company but also a service provider for businesses. Companies can use our engagement and analytics product to analyze how users interact, convert, retain, and engage with them in real-time on web, mobile, or smart devices. They can then use this data to improve their products and business. Mixpanel serves more than 26,000 companies in different industries worldwide, including Samsung, Twitter and BMW. Mixpanel is headquartered in San Francisco and has offices in New York City, Seattle, Austin. London, Paris, Barcelona, Paris, London, and Singapore.
  • 3
    Heap Reviews

    Heap

    Contentsquare

    $500.00/year
    1 Rating
    Heap is an infrastructure that automates insight for all businesses. Heap is innovative and rich in features. It allows companies to automate user analytics, so they can concentrate on their core business. Core, Warehouses, Conversion, Enrichment and Conversion are all Heap products.
  • 4
    Google Analytics Reviews
    Top Pick
    Get to know your customers. Gain a deeper understanding about your customers. Google Analytics provides all the tools you need to analyze data in one place. To better assess the performance of your marketing, content, and products, you need to understand your site and app users. To get the most from your data, use Google's unique insights or machine learning capabilities. Analytics can be used with Google's publisher and advertising products. This allows you to use your analytics insights for reaching the right customers. Easy-to-use interface makes it easy to share and process your data. You can also share reports. Analytics intelligence, detailed reports, and many other features will help you get the most out your data. You can easily access data from other Google solutions while you work in Analytics. This streamlines your workflow and saves time. Get deeper insight into how users interact with your site through Google Ads campaigns.
  • 5
    Domo Reviews
    Top Pick
    Domo puts data to work for everyone so they can multiply their impact on the business. Underpinned by a secure data foundation, our cloud-native data experience platform makes data visible and actionable with user-friendly dashboards and apps. Domo helps companies optimize critical business processes at scale and in record time to spark bold curiosity that powers exponential business results.
  • 6
    Amplitude Reviews
    Create products that lead to outcomes Amplitude is a product intelligence platform that helps teams engage, convert, and retain customers. Amplitude is a tool that helps teams build digital products. It allows them to better understand customer behavior, deliver better experiences, and retain more customers. Get a better understanding of your customers' experiences with your digital products. Teams can ship faster, measure impact and visualize user journeys. Personalize product experiences to increase engagement, conversion, loyalty. Product intelligence provides teams with the data and insights they need in order to create great product experiences. It can also be done at scale. Self-service analytics can be used to analyze what happens and why. To make quick changes, align on decisions and integrate your existing workflows and tech stack.
  • 7
    Mode Reviews

    Mode

    Mode Analytics

    Learn how users interact with your product and identify opportunities to help you make product decisions. Mode allows one Stitch analyst to perform the work of a full-time data team with speed, flexibility, collaboration. Create dashboards for annual revenue and then use chart visualizations quickly to identify anomalies. Share analysis with teams to create polished reports that are investor-ready. Connect your entire tech stack with Mode to identify upstream issues and improve performance. With webhooks and APIs, you can speed up team workflows. Learn how users interact with your product and identify areas for improvement. Use marketing and product data to identify weak points in your funnel, improve landing page performance, and prevent churn from happening.
  • 8
    Fullstory Reviews
    Fullstory is a platform for behavioral data that reveals the hidden story behind consumer behavior. Fullstory allows product, engineering and data teams to connect sentiments signals with other data sources in order to design the next best actions. Fullstory provides deeper and more immediate actionable insights than conventional web and product analyses that can only surface what is happening but not why. It is the only behavioral data platforms that provide the context needed to create in-the moment experiences that drive revenue. Fullstory's behavioral analytics is ready for AI. It uses first-party data that has been automatically captured, indexed and semantically structured. No longer do enterprises waste hours and resources on data analysis.
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