{"id":2929,"date":"2026-05-04T17:32:18","date_gmt":"2026-05-04T15:32:18","guid":{"rendered":"https:\/\/www.pmc33.com\/?p=2929"},"modified":"2026-05-04T17:33:51","modified_gmt":"2026-05-04T15:33:51","slug":"30-000-usuarios-cualificados-y-cero-magia-metodo-datos-y-bastante-barro","status":"publish","type":"post","link":"https:\/\/www.pmc33.com\/en\/servicios-consultoria\/30-000-usuarios-cualificados-y-cero-magia-metodo-datos-y-bastante-barro\/","title":{"rendered":"30,000 qualified users (and zero magic): method, data, and a lot of mud."},"content":{"rendered":"

For two years we have worked on qualifying a database that today exceeds 30,000 users.<\/p>\n

It has not been a clean process.
\nNot fast.
\nNot automatic.<\/p>\n

It has been a mix of method, tools and quite a bit of manual work.<\/p>\n

<\/h3>\n

The problem: data that exists, but doesn't work<\/b><\/span><\/h3>\n

Most organizations do not have a volume problem.<\/p>\n

They have a utility problem.<\/p>\n

    \n
  • incomplete records<\/li>\n
  • inconsistent information<\/li>\n
  • duplicates<\/li>\n
  • lack of clear criteria<\/li>\n<\/ul>\n

    The result is well known: large databases, but useless for working.<\/p>\n

    <\/h3>\n

    The approach: qualifying is making decisions<\/b><\/span><\/h3>\n

    It's not about cleaning data.<\/p>\n

    It's about deciding which data is valid and which is not.<\/p>\n

    To reach 30,000 qualified users we combined:<\/p>\n

      \n
    • manual qualification<\/li>\n
    • automated processes<\/li>\n
    • structured forms<\/li>\n
    • internet research<\/li>\n
    • phone calls<\/li>\n
    • crosses with external databases (census)<\/li>\n
    • Use of AI to automate crossing processes<\/li>\n<\/ul>\n

      There is no single way.
      \nThere are many, and you have to use them all.<\/p>\n

      <\/h3>\n

      The reality: not everything is automated<\/b><\/span><\/h3>\n

      Especially in the case of the self-employed, the information is unclear.<\/p>\n

      This is where they come in:<\/p>\n

        \n
      • rules<\/li>\n
      • criterion<\/li>\n
      • manual review<\/li>\n<\/ul>\n

        AI helps.
        \nBut it does not replace the decision.<\/p>\n

        <\/h3>\n

        The sentinel: keeping the data alive<\/b><\/span><\/h3>\n

        The biggest mistake in these types of projects is thinking that they end when the base is qualified.<\/p>\n

        It doesn't end.<\/p>\n

        If it is not maintained, it deteriorates.<\/p>\n

        That's why we incorporated the sentinel function:<\/p>\n

          \n
        • periodic review of data quality<\/li>\n
        • update existing records<\/li>\n
        • incorporation of new contacts<\/li>\n
        • maintenance of criteria and nomenclature<\/li>\n<\/ul>\n

          It's not a complex technical role.<\/p>\n

          It is a constant function that prevents the base from returning to the starting point.<\/p>\n

          <\/h3>\n

          The result: a foundation that can be worked on<\/b><\/span><\/h3>\n

          More than 30,000 qualified users.<\/p>\n

          But the important thing is not the number.<\/p>\n

          Because now it exists:<\/p>\n

            \n
          • consistency in the data<\/li>\n
          • real segmentation<\/li>\n
          • activation capacity<\/li>\n<\/ul>\n

            The database ceases to be a file.
            \nIt becomes a tool.<\/p>\n

            <\/h3>\n

            What comes next<\/b><\/span><\/h3>\n

            This is where the mistake is usually made.<\/p>\n

            Thinking that the project is over.<\/p>\n

            It doesn't end.<\/p>\n

            Begin.<\/p>\n

            Because now it's possible:<\/p>\n

              \n
            • launch targeted campaigns<\/li>\n
            • automate business processes<\/li>\n
            • working with AI models on real data<\/li>\n
            • build assistants that add value<\/li>\n<\/ul>\n

              And, above all:<\/p>\n

              Keep the database updated so that it remains useful over time.<\/p>\n

              <\/h3>\n

              Conclusion<\/b><\/span><\/h3>\n

              The data is not the problem.<\/p>\n

              The problem is not being able to use them.<\/p>\n

              And neither is qualifying them once.<\/p>\n

              The real challenge is keeping them.<\/p>\n

              Because a database only has value if it is still valid tomorrow.<\/p>\n

              <\/h3>\n

              Closing<\/b><\/span><\/h3>\n

              If you have a database that you're not using, you don't need any more records.<\/p>\n

              You need to be able to work with the ones you already have\u2026 and keep them alive.<\/p>","protected":false},"excerpt":{"rendered":"

              Durante dos a\u00f1os hemos trabajado en la cualificaci\u00f3n de una base de datos que hoy supera los 30.000 usuarios. No ha sido un proceso limpio. Ni r\u00e1pido. Ni autom\u00e1tico. Ha sido una mezcla de m\u00e9todo, herramientas y bastante trabajo manual. El problema: datos que est\u00e1n, pero no funcionan La mayor\u00eda de las organizaciones no tienen […]<\/p>\n","protected":false},"author":2,"featured_media":2930,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"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":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"default","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"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":""},"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-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":"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":""},"mobile":{"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":""}},"footnotes":""},"categories":[107],"tags":[138,163,162,143,81],"class_list":["post-2929","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-servicios-consultoria","tag-cualificacion","tag-investigacion","tag-registros","tag-sdr","tag-transformacion-digital"],"acf":[],"yoast_head":"\n30.000 usuarios cualificados (y cero magia): m\u00e9todo, datos y bastante barro - 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