Best Retail Intelligence Software for Google Analytics

Find and compare the best Retail Intelligence software for Google Analytics in 2024

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

  • 1
    42 Reviews

    42

    42 Technologies

    $1000/month
    42 is an end to end data omnichannel analytics platform and reporting platform designed for the retail industry. Our retail experts consolidate data from various sources (point-of sale, ecommerce sources and ERPs), as well as wholesale reports. With 42, executives, merchants, buyers, and sellers can get clear insights into how to grow their businesses by harnessing big data with more than 100 custom-built retail metrics. Our team has been creating custom solutions for retailers of all sizes since 2013, regardless of channel mix or existing data sources. 42 has been nominated and won several awards (LVMH Innovation Award and Innovation Award at Canadian Fashion Designers Awards, Forbes 30 under 30), and is supported by Y Combinator. Visit us at www.42technologies.com to get started.
  • 2
    Glew Reviews

    Glew

    Glew

    $99 per month
    All your data can be connected, transformed and visualized in one place. Glew is eCommerce business intelligence that can be used by any organization. We have everything you need, from 200+ pre-built KPIs to custom reports. Connect data across your business to gain insights that will drive your bottom line. Glew integrates seamlessly with top tools in eCommerce, operations, warehouse management, and more for cross-platform reporting. Smart data connections for insight across your entire company. With features that save time and eliminate manual reporting, you can get data-driven insights quicker. Get instant dashboards and recurring reports in your inbox. Keep track of the metrics that matter. You can report across customers, products and channels, as well as subscriptions, using powerful performance KPIs, prebuilt visualizations, data filtering, segmentation, and pre-built visualizations.
  • 3
    NetElixir Reviews
    Online shoppers today interact with many channels and touchpoints on their journey to purchase. NetElixir provides a complete range of digital marketing solutions for retail to maximize your business's impact on every customer interaction. We combine unparalleled retail intelligence with cutting-edge technology to map customer journeys so your brand can shine in the moments that matter most to high-value customers. Our team can evaluate your site performance and analyze customers' online shopping habits to identify gaps or needs in strategy. We offer solutions such as paid search, organic (SEO), social networking, Amazon advertising, MarTech, and other ways to capitalize on growth opportunities.
  • 4
    EPICA Reviews
    EPICA and Microsoft have partnered to move their prediction platform to Azure, Microsoft’s cloud platform. This gives our clients and suppliers secure and instant access to EPICA's data-science tools. Companies use Sophia® AI and the EPICA Platform to predict and outperform their competition. Our easy implementation process makes it easy to integrate your existing technology stack. You can detect patterns and predict your customer's next move by making highly accurate predictions about their purchase intentions. Find out the likelihood of each shopper purchasing a product or action. In return for their data, create the personalized experience they expect. Your store and/or your ads campaigns should offer a cohesive and immersive experience. The quality and quantity of data that the AI engine can learn from is key to accurate predictions.
  • 5
    AcuitySpark Reviews
    It provides deep, actionable information about consumers and their preferences and interactions across channels. This enables businesses to: Align marketing and sales around customer expectations, deliver consistent customer experiences based on intimate knowledge, offer convenient and responsive products and services at the right times, optimize business operations by closing that gap between insights and action. Machine learning is used to predict customer churn. Segmentation analysis of customer based on recency, frequency, monetary value, and visits. Align safety stocks to minimize the risk of overstocking.
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