{"id":4616,"date":"2022-10-27T09:45:41","date_gmt":"2022-10-27T09:45:41","guid":{"rendered":"https:\/\/www.factorydata.com\/?p=4616&amp;lang=en"},"modified":"2022-10-27T09:45:41","modified_gmt":"2022-10-27T09:45:41","slug":"google-analytics-vs-neo-for-web-catalogue-searches-analysis","status":"publish","type":"post","link":"https:\/\/www.factorydata.com\/en\/google-analytics-vs-neo-for-web-catalogue-searches-analysis\/","title":{"rendered":"Google Analytics vs NEO for web catalogue searches analysis"},"content":{"rendered":"<h4><b>Google Analytics<\/b> is a <b>web analytics tool<\/b> from the Google company launched on November 14th, 2005. It offers grouped information on the traffic that reaches websites according to the audience, the acquisition, the behavior and the conversions that take place in the website [source: wikipedia].<\/h4>\n<h4><b>Google Analytics<\/b> allows us to analyze the searches we have in our web <b>catalog<\/b> through the \u00ab<b>Site Search<\/b>\u00bb report. In this link we can see the details to configure it: <a href=\"https:\/\/support.google.com\/analytics\/answer\/1012264?hl=en#Setup&amp;zippy=%2Ccontenidos%2Cin-this-article\" target=\"_blank\" rel=\"noopener\">https:\/\/support.google.com\/analytics\/answer\/1012264?hl=en#Setup&amp;zippy=%2Ccontenidos%2Cin-this-article<\/a><\/h4>\n<h4>Once we have activated and configured the \u00ab<b>Site Search<\/b>\u00bb report, we can see:<\/h4>\n<ul>\n<li>\n<h4>Usage report: the % of users who use the search engine are compared with those who don&#8217;t.<\/h4>\n<\/li>\n<li>\n<h4><b>Search terms<\/b>: contains all the queries that users have made and therefore we will be able to <b>analyze which are the most searched reference <\/b><b>numbers<\/b><b>.<\/b><\/h4>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.factorydata.com\/wp-content\/uploads\/2022\/10\/Google-Analytics.png\"><img fetchpriority=\"high\" decoding=\"async\" class=\"aligncenter size-full wp-image-4611\" src=\"https:\/\/www.factorydata.com\/wp-content\/uploads\/2022\/10\/Google-Analytics.png\" alt=\"Google Analytics\" width=\"294\" height=\"171\" \/><\/a><\/p>\n<h4>What <b>problems<\/b> does the analysis of the rankings of <b>most searched reference numbers of Google Analytics<\/b> present?<\/h4>\n<ol>\n<li>\n<h4><b>R<\/b><b>eference <\/b><b>number<\/b><b>s<\/b> appear with <b>different formats<\/b> that we should normalize and group those that are the same.<\/h4>\n<\/li>\n<li>\n<h4><b>P<\/b><b>roducts are searched from different reference <\/b><b>number<\/b><b>s<\/b> that we should group those that are equivalent.<\/h4>\n<\/li>\n<li>\n<h4>Many <b>reference <\/b><b>numbers<\/b><b> are unknown<\/b> to us, so we cannot quickly identify them or group them.<\/h4>\n<\/li>\n<li>\n<h4>It is <b>complex to analyze<\/b> all this information in a systematic way to calculate variables such as, for example, the <b>demand <\/b><b>trend<\/b>.<\/h4>\n<\/li>\n<\/ol>\n<h4><\/h4>\n<h4>At <b>Factory Data<\/b> we have developed the NEO platform that allows to <b>connect directly to your Google Analytics account<\/b> (demand data can also be captured without Google Analytics by integrating a simple API that sends the data to our server) and that allows to perform a <b>very<\/b><b> advanced and specific<\/b> <b>demand <\/b><b>analysis for <\/b><b>auto parts <\/b><b>sector<\/b>.<\/h4>\n<p><a href=\"https:\/\/www.factorydata.com\/wp-content\/uploads\/2022\/10\/Google-Analytics-NEO.png\"><img decoding=\"async\" class=\"aligncenter wp-image-4612\" src=\"https:\/\/www.factorydata.com\/wp-content\/uploads\/2022\/10\/Google-Analytics-NEO.png\" alt=\"Google Analytics &amp;&amp; NEO\" width=\"655\" height=\"165\" \/><\/a><\/p>\n<h4><\/h4>\n<h4>What does NEO do from the searched reference numbers data?<\/h4>\n<ol>\n<li>\n<h4><b>Standardizes<\/b>, <b>identifies<\/b> and <b>groups<\/b> all the <b>reference <\/b><b>number<\/b><b>s<\/b>.<\/h4>\n<\/li>\n<li>\n<h4>Analyzes the data from <b>statistical processes<\/b> that allow calculating with maximum precision for each product: <b>ranking position<\/b>, <b>% of demand over total demand, demand trend, most searched reference <\/b><b>number<\/b><b>s associated with the product, historical rankings of the last 4 years<\/b>, etc.<\/h4>\n<\/li>\n<li>\n<h4>Generates different product rankings: <b>GAPs<\/b> that are not in our product range, <b>new<\/b> products with recent demand, <b>obsolete<\/b> products, etc.<\/h4>\n<\/li>\n<li>\n<h4>Reports <b>missing equivalences<\/b> that are not retrieved from your web catalogue.<\/h4>\n<\/li>\n<li>\n<h4>Provides information on different control ratios from a <b>very intuitive <\/b><b>dashboard<\/b>.<\/h4>\n<\/li>\n<\/ol>\n<h4 align=\"center\"><\/h4>\n<p><a href=\"https:\/\/www.factorydata.com\/wp-content\/uploads\/2020\/02\/Initial-panel-ENG.png\"><img decoding=\"async\" class=\"aligncenter wp-image-4428\" src=\"https:\/\/www.factorydata.com\/wp-content\/uploads\/2020\/02\/Initial-panel-ENG.png\" alt=\"Initial panel ENG\" width=\"650\" height=\"396\" \/><\/a><\/p>\n<h4><\/h4>\n<h4><b>With the help of NEO we will be able to accurately analyze market demand to perfectly understand customer needs and optimize any range of products in a simple and fast way.<\/b><\/h4>\n<p>&nbsp;<\/p>\n<p>By Joan Cab\u00f3s<br \/>\nCEO &amp; founder<\/p>","protected":false},"excerpt":{"rendered":"<p>Google Analytics is a web analytics tool from the Google company launched on November 14th, 2005. It offers grouped information [&hellip;]<\/p>","protected":false},"author":1,"featured_media":4614,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[20],"tags":[192,16,146,90,122,128],"class_list":["post-4616","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-neo-en","tag-google-analytics","tag-market-expert","tag-neo","tag-on-line-shops","tag-search-engine","tag-site-search"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Google Analytics vs NEO for web catalogue searches analysis - Factory Data<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.factorydata.com\/en\/google-analytics-vs-neo-for-web-catalogue-searches-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Google Analytics vs NEO for web catalogue searches analysis - Factory Data\" \/>\n<meta property=\"og:description\" content=\"Google Analytics is a web analytics tool from the Google company launched on November 14th, 2005. 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