Analíticas de Video

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auto}.tb-button{color:#f1f1f1}.tb-button--left{text-align:left}.tb-button--center{text-align:center}.tb-button--right{text-align:right}.tb-button__link{color:inherit;cursor:pointer;display:inline-block;line-height:100%;text-decoration:none !important;text-align:center;transition:all 0.3s ease}.tb-button__link:hover,.tb-button__link:focus,.tb-button__link:visited{color:inherit}.tb-button__link:hover .tb-button__content,.tb-button__link:focus .tb-button__content,.tb-button__link:visited .tb-button__content{font-family:inherit;font-style:inherit;font-weight:inherit;letter-spacing:inherit;text-decoration:inherit;text-shadow:inherit;text-transform:inherit}.tb-button__content{vertical-align:middle;transition:all 0.3s ease}.tb-button__icon{transition:all 0.3s ease;display:inline-block;vertical-align:middle;font-style:normal !important}.tb-button__icon::before{content:attr(data-font-code);font-weight:normal !important}.tb-button__link{background-color:#444;border-radius:0.3em;font-size:1.3em;margin-bottom:0.76em;padding:0.55em 1.5em 0.55em} .tb-image{position:relative;transition:transform 0.25s ease}.wp-block-image .tb-image.aligncenter{margin-left:auto;margin-right:auto}.tb-image img{max-width:100%;height:auto;width:auto;transition:transform 0.25s ease}.tb-image .tb-image-caption-fit-to-image{display:table}.tb-image .tb-image-caption-fit-to-image .tb-image-caption{display:table-caption;caption-side:bottom} } 

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