Conversion Probability Beta in Analytics<\/strong>.<\/p>\n\n\n\nAnd you may ask... what is it and what can it be used for?<\/p>\n\n\n\n
This is a dimension that allows us to group the different visitors to our Web site based on their likelihood of making a purchase in the next 30 days. Both this dimension and the average conversion probability percentage metric, based on algorithmic data modeling techniques, the calculation of which is based on<\/strong> similar to those of Smart Lists and Smart Targets. The probability resulting from such a calculation is represented with values between 1 and 100<\/strong>, the former being the least likely and the latter the most likely.<\/p>\n\n\n\nIn addition, thanks to the new beta of Conversion Probability in Analytics, we can obtain a average of this metric for the store's different digital channels<\/strong>, This is very valuable information that will allow us to have an overview of the business and the probability of conversion of users depending on the channel they reach:<\/p>\n\n\n\nExpand your Remarketing opportunities<\/h2>\n\n\n\n From the experience we have in remarketing strategies<\/strong>, We are confident that working with audiences created from these metrics will allow us to maximize return on investment<\/strong>, The company is more aggressive in the group of users with a high probability of conversion and even negativizing at a given moment all those with almost zero probability of conversion. To do this, you can generate segments of these dimensions and then create remarketing lists from the segment, or directly from the creation of audiences.<\/em><\/p>\n\n\n\nAs you can see, the possibilities that open up for both management and analytics are multiple, but here comes the negative part... currently not available for all accounts<\/strong>, The Session Quality feature, as was the case with the Session Quality feature, is expected to be enabled for all accounts.<\/p>\n\n\n\nFinally, it should be noted that there are a number of requirements<\/strong> to calculate the dimension and metric:<\/p>\n\n\n\nMinimum 1,000 e-commerce transactions required per month<\/strong>. Conversion probability is currently based on transaction data only.<\/li>After reaching the threshold of 1,000 transactions Analytics requires 30 days of data to generate the model<\/strong>.<\/li><\/ul>\n\n\n\nIf at any time the number of transactions falls below the minimum required Analytics will use the last valid model to generate the data for the report.<\/p>\n\n\n\n
For our part, we are going to start experimenting by creating advanced Conversion Probability audiences and, soon, we will surely be able to bring you the results! Would you like to give it a try?<\/p>","protected":false},"excerpt":{"rendered":"
<!\u2013[CDATA[ Almost a year ago, we introduced you to the innovative Session Quality beta in Analytics, which has helped us achieve great results in remarketing strategies for many of our clients. Today, it\u2019s time to talk about the latest feature that\u2019s been made available to us: the Conversion Probability beta in Analytics. And you might be wondering\u2026 what is it, and how can it help us? It\u2019s a dimension that lets us group the different visitors to our website based on their likelihood of making a purchase within the next 30 days. Both this dimension and the average conversion probability percentage metric are calculated using algorithmic data modeling techniques similar to those used in Smart Lists and Smart Goals. The probability resulting from this calculation is represented by values ranging from 1 to 100, with 1 being the least likely and 100 being the most likely. Additionally, thanks to the new Conversion Probability beta in Analytics, we can obtain an average of this metric across the store\u2019s various digital channels\u2014valuable information that will give us an overview of the business and the probability of conversion for users based on the channel through which they arrive: Expand Your Remarketing Opportunities Based on our experience with remarketing strategies, we\u2019re confident that working with audiences created based on these metrics will allow us to maximize return on investment by being more aggressive with users who have a high conversion probability and even, at any given time, excluding all those with a probability close to zero. To do this, you can generate segments based on these dimensions and then create remarketing lists from the segment, or directly from the audience creation process. As you can see, the possibilities this opens up for both management and analytics are numerous, but here\u2019s the downside\u2026 it\u2019s not currently available for all accounts, although, just as with Session Quality, it\u2019s expected to be rolled out to all accounts over time. Finally, note that there are a number of requirements for calculating the dimension and metric: A minimum of 1,000 e-commerce transactions per month is required. The conversion probability is currently based solely on transaction data. After reaching the threshold of 1,000 transactions, Analytics needs 30 days of data to generate the model. If at any time the number of transactions falls below the required minimum, Analytics will use the last valid model to generate the data for the report. For our part, we\u2019re going to start experimenting by creating advanced Conversion Probability audiences, and we\u2019re sure we\u2019ll be able to share the results with you soon! Are you ready to give it a try?<\/p>","protected":false},"author":42,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-6187","post","type-post","status-publish","format-standard","hentry","category-analitica-web"],"yoast_head":"\n
Probabilidad de Conversi\u00f3n en Analytics - Geotelecom<\/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.geotelecom.es\/en\/blog\/probability-conversion-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Probabilidad de Conversi\u00f3n en Analytics - Geotelecom\" \/>\n<meta property=\"og:description\" content=\"<!–[CDATA[ Si hace casi un a\u00f1o os tra\u00edamos la novedosa beta de Calidad de la Sesi\u00f3n en Analytics, con la que hemos logrado grandes resultados en estrategias de Remarketing para muchos de nuestros clientes, hoy le llega el turno a la \u00faltima novedad que se nos ha habilitado: la Beta de Probabilidad de Conversi\u00f3n en Analytics. Y os preguntar\u00e9is…\u00bfqu\u00e9 es y para qu\u00e9 puede servirnos? Se trata de una dimensi\u00f3n que permite agrupar los distintos visitantes de nuestro sitio Web en base a la probabilidad que tienen de realizar una compra en los pr\u00f3ximos 30 d\u00edas. Tanto esta dimensi\u00f3n como la m\u00e9trica de porcentaje medio de probabilidad de conversi\u00f3n, basan su c\u00e1lculo en t\u00e9cnicas algor\u00edtmicas de modelado de datos similares a las de las Listas Inteligentes y los Objetivos Inteligentes. La probabilidad resultante de dicho c\u00e1lculo viene representada con valores de entre 1 y 100, siendo el primero el menos probable y el \u00faltimo el m\u00e1s probable. Adem\u00e1s gracias a la nueva beta de Probabilidad de Conversi\u00f3n en Analytics, podemos obtener una media de esta m\u00e9trica para los diferentes canales digitales de la tienda, informaci\u00f3n muy valiosa que nos permitir\u00e1 tener una visi\u00f3n general del negocio y de la probabilidad de conversi\u00f3n de los usuarios seg\u00fan del canal que lleguen: Ampl\u00eda tus oportunidades en Remarketing Por la experiencia que tenemos en estrategias de remarketing, estamos seguro que trabajar con audiencias creadas a partir de estas m\u00e9tricas nos van a permitir maximizar el retorno de la inversi\u00f3n, siendo m\u00e1s agresivos en el conjunto de usuarios con una probabilidad de conversi\u00f3n elevada e incluso negativizando en un momento dado todos aquellos con probabilidad casi nula. Para ello pod\u00e9is generar segmentos de estas dimensiones y posteriormente crear las listas de remarketing a partir del segmento, o bien directamente desde la creaci\u00f3n de audiencias. Como veis las posibilidades que se nos abren tanto para la gesti\u00f3n como para la anal\u00edtica son m\u00faltiples, pero llega la parte negativa… actualmente no est\u00e1 disponible para todas las cuentas, aunque al igual que sucedi\u00f3 con la Calidad de la Sesi\u00f3n, se ir\u00e1 habilitando previsiblemente para todas las cuentas. Por \u00faltimo destacar que existe una serie de requisitos para calcular la dimensi\u00f3n y la m\u00e9trica: Se precisan m\u00ednimo 1.000 transacciones de comercio electr\u00f3nico por mes. La probabilidad de conversi\u00f3n solo se basa de momento en datos de transacci\u00f3n. Tras alcanzar el umbral de 1.000 transacciones Analytics necesita 30 d\u00edas de datos para generar el modelo. Si en alg\u00fan momento el n\u00famero de transacciones bajara del m\u00ednimo requerido Analytics usar\u00e1 el \u00faltimo modelo v\u00e1lido para generar los datos para el informe. Por nuestra parte vamos a empezar a experimentar creando audiencias avanzadas de Probabilidad de Conversi\u00f3n y, \u00a1dentro de poco seguro que os podemos traer los resultados obtenidos! \u00bfTe animas a probarlo?\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.geotelecom.es\/en\/blog\/probability-conversion-analytics\/\" \/>\n<meta property=\"og:site_name\" content=\"Geotelecom\" \/>\n<meta property=\"article:published_time\" content=\"2018-04-04T15:04:32+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-03-16T15:45:02+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.geotelecom.es\/wp-content\/uploads\/2026\/03\/probabilidad-de-conversion.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1872\" \/>\n\t<meta property=\"og:image:height\" content=\"696\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Conversion Probability in Analytics - Geotelecom","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.geotelecom.es\/en\/blog\/probability-conversion-analytics\/","og_locale":"en_US","og_type":"article","og_title":"Probabilidad de Conversi\u00f3n en Analytics - Geotelecom","og_description":"<!–[CDATA[ Si hace casi un a\u00f1o os tra\u00edamos la novedosa beta de Calidad de la Sesi\u00f3n en Analytics, con la que hemos logrado grandes resultados en estrategias de Remarketing para muchos de nuestros clientes, hoy le llega el turno a la \u00faltima novedad que se nos ha habilitado: la Beta de Probabilidad de Conversi\u00f3n en Analytics. Y os preguntar\u00e9is…\u00bfqu\u00e9 es y para qu\u00e9 puede servirnos? Se trata de una dimensi\u00f3n que permite agrupar los distintos visitantes de nuestro sitio Web en base a la probabilidad que tienen de realizar una compra en los pr\u00f3ximos 30 d\u00edas. Tanto esta dimensi\u00f3n como la m\u00e9trica de porcentaje medio de probabilidad de conversi\u00f3n, basan su c\u00e1lculo en t\u00e9cnicas algor\u00edtmicas de modelado de datos similares a las de las Listas Inteligentes y los Objetivos Inteligentes. La probabilidad resultante de dicho c\u00e1lculo viene representada con valores de entre 1 y 100, siendo el primero el menos probable y el \u00faltimo el m\u00e1s probable. Adem\u00e1s gracias a la nueva beta de Probabilidad de Conversi\u00f3n en Analytics, podemos obtener una media de esta m\u00e9trica para los diferentes canales digitales de la tienda, informaci\u00f3n muy valiosa que nos permitir\u00e1 tener una visi\u00f3n general del negocio y de la probabilidad de conversi\u00f3n de los usuarios seg\u00fan del canal que lleguen: Ampl\u00eda tus oportunidades en Remarketing Por la experiencia que tenemos en estrategias de remarketing, estamos seguro que trabajar con audiencias creadas a partir de estas m\u00e9tricas nos van a permitir maximizar el retorno de la inversi\u00f3n, siendo m\u00e1s agresivos en el conjunto de usuarios con una probabilidad de conversi\u00f3n elevada e incluso negativizando en un momento dado todos aquellos con probabilidad casi nula. Para ello pod\u00e9is generar segmentos de estas dimensiones y posteriormente crear las listas de remarketing a partir del segmento, o bien directamente desde la creaci\u00f3n de audiencias. Como veis las posibilidades que se nos abren tanto para la gesti\u00f3n como para la anal\u00edtica son m\u00faltiples, pero llega la parte negativa… actualmente no est\u00e1 disponible para todas las cuentas, aunque al igual que sucedi\u00f3 con la Calidad de la Sesi\u00f3n, se ir\u00e1 habilitando previsiblemente para todas las cuentas. Por \u00faltimo destacar que existe una serie de requisitos para calcular la dimensi\u00f3n y la m\u00e9trica: Se precisan m\u00ednimo 1.000 transacciones de comercio electr\u00f3nico por mes. La probabilidad de conversi\u00f3n solo se basa de momento en datos de transacci\u00f3n. Tras alcanzar el umbral de 1.000 transacciones Analytics necesita 30 d\u00edas de datos para generar el modelo. Si en alg\u00fan momento el n\u00famero de transacciones bajara del m\u00ednimo requerido Analytics usar\u00e1 el \u00faltimo modelo v\u00e1lido para generar los datos para el informe. Por nuestra parte vamos a empezar a experimentar creando audiencias avanzadas de Probabilidad de Conversi\u00f3n y, \u00a1dentro de poco seguro que os podemos traer los resultados obtenidos! \u00bfTe animas a probarlo?","og_url":"https:\/\/www.geotelecom.es\/en\/blog\/probability-conversion-analytics\/","og_site_name":"Geotelecom","article_published_time":"2018-04-04T15:04:32+00:00","article_modified_time":"2026-03-16T15:45:02+00:00","og_image":[{"width":1872,"height":696,"url":"https:\/\/www.geotelecom.es\/wp-content\/uploads\/2026\/03\/probabilidad-de-conversion.png","type":"image\/png"}],"twitter_card":"summary_large_image","twitter_misc":{"Written by":"","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.geotelecom.es\/blog\/probabilidad-conversion-analytics\/#article","isPartOf":{"@id":"https:\/\/www.geotelecom.es\/blog\/probabilidad-conversion-analytics\/"},"author":{"name":"","@id":""},"headline":"Probabilidad de Conversi\u00f3n en Analytics","datePublished":"2018-04-04T15:04:32+00:00","dateModified":"2026-03-16T15:45:02+00:00","mainEntityOfPage":{"@id":"https:\/\/www.geotelecom.es\/blog\/probabilidad-conversion-analytics\/"},"wordCount":511,"commentCount":0,"image":{"@id":"https:\/\/www.geotelecom.es\/blog\/probabilidad-conversion-analytics\/#primaryimage"},"thumbnailUrl":"https:\/\/www.geotelecom.es\/wp-content\/uploads\/2026\/03\/probabilidad-de-conversion.png","articleSection":["Anal\u00edtica Web"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.geotelecom.es\/blog\/probabilidad-conversion-analytics\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/www.geotelecom.es\/blog\/probabilidad-conversion-analytics\/","url":"https:\/\/www.geotelecom.es\/blog\/probabilidad-conversion-analytics\/","name":"Conversion Probability in Analytics - 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