Growth Analytics uses 12 technologies like Google Ads, Google Analytics, and Google Cloud Platform. View Growth Analytics's complete Tech Stack.
Growth Analytics Marketing Technology
Google AdWords lets create ads that appear in Google search results for certain keywords in certain regions, driving more qualified traffic to their website.
Google Optimize is a free website optimization tool that helps online marketers increase visitor conversion rates and overall visitor satisfaction by continually A/B testing different combinations of website content.
Klipfolio is a real-time dashboarding application that supports connections to all the web services in digital marketing tech stack.
Optimizely is a website optimization platform providing A/B and multivariate testing with tools to track engagement, clicks, conversions, sign ups & more.
Growth Analytics Business Intelligence And Analytics Technology
Google Analytics allows users to measure sales & conversions, plus gain fresh insights into how visitors use sites, & how they arrived on site.
Google Data Studio turns data into informative dashboards and reports that are easy to read, easy to share, and fully customizable.
Tableau Software is a business intelligence and analytics solution that offers a range of integrated products to help users visualize and understand their data.
Growth Analytics Platform And Storage Technology
Google Cloud Platform is a suite of cloud computing services that enables developers to build, deploy, and scale applications, websites, and services on the same infrastructure as Google.
Growth Analytics Devops And Development Technology
Google Firebase is an application development platform for creating mobile and web applications.
Growth Analytics Collaboration Technology
Google Marketing Platform is a unified advertising and analytics platform that enables stronger collaboration for your marketing teams.
Growth Analytics Programming Languages And Frameworks Technology
JavaScript is the programming language of HTML and the Web.
Python is an interpreted high-level programming language for general-purpose programming. Python features a dynamic type system and automatic memory management. It supports multiple programming paradigms, including object-oriented, imperative, functional and procedural, and has a large and comprehensive standard library.
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