{"id":5239,"date":"2026-04-30T08:48:10","date_gmt":"2026-04-30T13:48:10","guid":{"rendered":"https:\/\/strata-analytics.us\/?post_type=customer-story&#038;p=5239"},"modified":"2026-04-30T09:39:11","modified_gmt":"2026-04-30T14:39:11","slug":"winback-strategy-for-ott-content-streaming-service","status":"publish","type":"customer-story","link":"https:\/\/strata-analytics.us\/es\/customer-story\/winback-strategy-for-ott-content-streaming-service\/","title":{"rendered":"Estrategia de recuperaci\u00f3n para el servicio de transmisi\u00f3n de contenido OTT"},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>TAREA \/ PROBLEMA<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Falta de estrategias eficaces y personalizadas para recuperar clientes.<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Costes elevados en las campa\u00f1as de recuperaci\u00f3n de clientes:<\/li>\n\n\n\n<li>Las campa\u00f1as actuales destinadas a recuperar clientes inactivos son costosas y no est\u00e1n suficientemente optimizadas para maximizar el retorno de la inversi\u00f3n.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Falta de personalizaci\u00f3n en las estrategias de recuperaci\u00f3n de clientes:<\/li>\n\n\n\n<li>Las campa\u00f1as no est\u00e1n aprovechando al m\u00e1ximo los datos de usuario disponibles, lo que da como resultado mensajes y ofertas gen\u00e9ricas que no logran captar la atenci\u00f3n de los antiguos suscriptores.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Subutilizaci\u00f3n de datos para lanzamientos y promociones de contenido:<\/li>\n\n\n\n<li>La empresa no est\u00e1 utilizando adecuadamente los datos sobre el comportamiento de visualizaci\u00f3n de los clientes para determinar cu\u00e1ndo y c\u00f3mo lanzar nuevos contenidos o promociones que fomenten el regreso de los usuarios.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>SOLUCI\u00d3N<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Optimizaci\u00f3n de estrategias de recuperaci\u00f3n mediante aprendizaje autom\u00e1tico<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Modelado predictivo para la recuperaci\u00f3n de clientes:<\/strong>\u00a0Utilice el aprendizaje autom\u00e1tico para analizar el comportamiento anterior de los usuarios, como sus h\u00e1bitos de visualizaci\u00f3n y sus respuestas a campa\u00f1as anteriores, para predecir qu\u00e9 clientes tienen m\u00e1s probabilidades de regresar y cu\u00e1l es el momento \u00f3ptimo para interactuar con ellos.<\/li>\n\n\n\n<li><strong>Campa\u00f1as de recuperaci\u00f3n de clientes personalizadas<\/strong>Implementar una segmentaci\u00f3n avanzada para crear campa\u00f1as altamente personalizadas que ofrezcan contenido y promociones adaptados a los intereses individuales, bas\u00e1ndose en el historial de visualizaci\u00f3n y las preferencias.<\/li>\n\n\n\n<li><strong>Lanzamientos de contenido y promociones optimizados:\u00a0<\/strong>Desarrollar un calendario de lanzamientos de contenido y promociones basado en datos, centr\u00e1ndose en los momentos clave en los que es m\u00e1s probable que los clientes regresen, garantizando as\u00ed la coherencia con sus intereses.<\/li>\n\n\n\n<li><strong>Pruebas A\/B continuas:\u00a0<\/strong>Realizar pruebas A\/B peri\u00f3dicamente para evaluar y perfeccionar la eficacia de diversos mensajes, contenidos y promociones en las campa\u00f1as de recuperaci\u00f3n de clientes, mejorando continuamente las estrategias de recuperaci\u00f3n.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>RESULTADOS<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em>Reducci\u00f3n de costos y mejora de las tasas de recuperaci\u00f3n.<\/em><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Reducci\u00f3n de los costes de las campa\u00f1as de recuperaci\u00f3n de clientes:<\/strong>\u00a0Al identificar y centrarse en los clientes con mayor probabilidad de regresar, las campa\u00f1as ser\u00e1n m\u00e1s eficientes, reduciendo los costos generales y mejorando el retorno de la inversi\u00f3n.<\/li>\n\n\n\n<li><strong>Aumento de la eficacia de la campa\u00f1a:<\/strong>\u00a0La personalizaci\u00f3n basada en datos dar\u00e1 como resultado mensajes y ofertas m\u00e1s relevantes, lo que aumentar\u00e1 la tasa de recuperaci\u00f3n de clientes y mejorar\u00e1 la percepci\u00f3n de la marca.<\/li>\n\n\n\n<li><strong>Mejora en la retenci\u00f3n a largo plazo:<\/strong>\u00a0Ofrecer contenido y promociones que se ajusten a los intereses individuales no solo har\u00e1 que los usuarios regresen, sino que tambi\u00e9n mejorar\u00e1 su retenci\u00f3n a largo plazo, reduciendo la deserci\u00f3n futura.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Mayor precisi\u00f3n en los lanzamientos de contenido:&nbsp;<\/strong>Un calendario de lanzamientos basado en datos garantizar\u00e1 que el contenido y las promociones se publiquen en el momento \u00f3ptimo para maximizar su impacto, mejorando tanto la experiencia del usuario como las m\u00e9tricas de participaci\u00f3n.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Ahorros en costos de marketing por correo electr\u00f3nico seg\u00fan la secci\u00f3n 50%\u00a0<\/strong><\/li>\n\n\n\n<li><strong>22% Reducci\u00f3n del tiempo de recuperaci\u00f3n<\/strong><\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>La empresa se enfrenta a altos costes y estrategias de recuperaci\u00f3n de clientes ineficaces debido a la falta de personalizaci\u00f3n y al uso inadecuado de los datos. La soluci\u00f3n incluye aprendizaje autom\u00e1tico para el modelado predictivo, campa\u00f1as personalizadas y lanzamientos de contenido optimizados. Los resultados incluyen la reducci\u00f3n de costes de campa\u00f1a, una mejor recuperaci\u00f3n de clientes, una mayor retenci\u00f3n y lanzamientos de contenido m\u00e1s oportunos, con un ahorro significativo.<\/p>","protected":false},"featured_media":5255,"parent":0,"template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[1377],"class_list":["post-5239","customer-story","type-customer-story","status-publish","has-post-thumbnail","hentry","category-others"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Winback Strategy for OTT Content Streaming Service - Strata<\/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:\/\/strata-analytics.us\/es\/customer-story\/winback-strategy-for-ott-content-streaming-service\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Winback Strategy for OTT Content Streaming Service - Strata\" \/>\n<meta property=\"og:description\" content=\"The company faces high costs and ineffective winback strategies due to lack of personalization and data use. 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