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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    CUX

    Score7.5 out of 10
    N/ACUX is a UX Automation tool that helps users to improve conversion, turn frustrated users into happy customers, and build market advantage thanks to pre-analyzing UX and finding the behavioral patterns. Quantifying UX, benchmarks and custom segmentation is offered to help boost a positive customer experience with an app, and increase sales.N/A

    Mage AI

    Score8.6 out of 10
    N/AMage AI is a cloud-native Data Pipeline orchestration platform designed to facilitate the development, deployment, and management of data-intensive applications. The system provides a managed environment for building modular data workflows that integrate with existing cloud infrastructure and AI developer toolchains.

    $0

    per user

    Pricing
    CUXMage AI
    Editions & Modules
    No answers on this topic
    Hobby
    $0
    per user
    Pro
    $2,000
    per month per user
    Offerings
    Pricing Offerings
    CUXMage AI
    Free Trial
    NoYes
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoYes
    Entry-level Setup FeeNo setup feeOptional
    Additional Details—Contact vendor for pricing information.
    More Pricing Information
    Best Alternatives
    CUXMage AI
    Small Businesses
    Mixpanel
    Score8.3 out of 10
    No answers on this topic
    Medium-sized Companies
    Heap
    Score8.1 out of 10
    No answers on this topic
    Enterprises
    Gainsight PX
    Score7.6 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    CUXMage AI
    Likelihood to Recommend
    7.5
    (2 ratings)
    8.5
    (2 ratings)
    User Testimonials
    CUXMage AI
    Likelihood to Recommend
    cux.io
    It's great to have such a tool in your closet as a UX designer or else it's hard to find those pain points. The tool was very helpful in finding weak points at specific sites, collecting data, and presenting it to show the severity of the issue. Additionally, it revealed unnoticed errors and inconsistencies and contributed to quick fixes.
    Incentivized
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    Mage
    Mage is well-suited for probability score for uptake of every product is calculated for customers using ML/ Regression models, choosing customers for a product/ Top products for a customer, based on the requirement and Identifying popular product combinations using association rules from Market Basket Analysis (or affinity Analysis)\Bundle these products as combos.
    Incentivized
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    Pros
    cux.io
    • Allows user recordings which enable you to see exactly how features are being used
    • Easy to navigate user interface
    • Strong built-in analysis features that allow the design team to pull and analyze data easily
    Incentivized
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    Mage
    • Ranking algorithms.
    • Cloud-based tool.
    • Increase user engagement.
    Incentivized
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    Cons
    cux.io
    • There are a lot of features; it does take some time to understand what is there in order to make the most use of everything
    • Some additional user tutorials might be useful to introduce new users to all the features
    • Data loading can be a bit smoother and faster
    Incentivized
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    Mage
    • Acquisition Contribution.
    • Business Intelligence Reporting.
    • Data Destinations.
    Incentivized
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    Alternatives Considered
    cux.io
    CUX.io has a really clean UI that was easy to use and a good fit for what we needed. It combined features that we had from other products and was well-geared towards automating the type of analysis that we were interested in. It also had great customer support that really helped us to get started without any hurdles.
    Incentivized
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    Mage
    Mage was the easiest in terms of ease of implementation due to its no-code functionality. However, Mage doesn't have a whole ecosystem like AWS and slightly falls behind there.
    Incentivized
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    Return on Investment
    cux.io
    • Decreased the time it takes the organization and team to arrive at user behavior conclusions/insights
    • Decreased the time we needed to spend in order to monitor how new features quantitatively impact user behavior
    • Enabled the organization to make more data-driven decisions
    Incentivized
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    Mage
    • Business Understanding.
    • Data Acquisition and Understanding.
    • Data Modeling and Evaluation.
    Incentivized
    Read full review
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