{
    "id": 3983,
    "date": "2024-06-29T15:23:46",
    "date_gmt": "2024-06-29T08:23:46",
    "guid": {
        "rendered": "https:\/\/technica.ai\/?p=3983"
    },
    "modified": "2025-03-23T17:03:10",
    "modified_gmt": "2025-03-23T10:03:10",
    "slug": "audience-analytics",
    "status": "publish",
    "type": "post",
    "link": "https:\/\/technica.ai\/en\/case-studies\/audience-analytics\/",
    "title": {
        "rendered": "Audience Analytics"
    },
    "content": {
        "rendered": "<div data-elementor-type=\"wp-post\" data-elementor-id=\"3983\" class=\"elementor elementor-3983\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b2fab82 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b2fab82\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-44b3b20\" data-id=\"44b3b20\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-52839e2 elementor-widget elementor-widget-text-editor\" data-id=\"52839e2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h4><span style=\"font-weight: bolder; color: inherit; font-family: var( --e-global-typography-83682a1-font-family ), Sans-serif; font-size: var( --e-global-typography-83682a1-font-size ); letter-spacing: var( --e-global-typography-83682a1-letter-spacing ); word-spacing: var( --e-global-typography-83682a1-word-spacing ); background-color: var( --e-global-color-39ccc9c );\">Challenge<\/span><\/h4><p data-start=\"0\" data-end=\"456\">Conventional TV rating surveys\u2014such as household ratings and individual ratings conducted by organizations like Video Research\u2014have played a critical role for many years in evaluating television programs and making decisions about advertising placements. However, due to changes in the media environment and viewer behavior in recent years, the following issues have been highlighted regarding these traditional rating measurement methods:<\/p><h4><strong style=\"color: inherit; font-family: var( --e-global-typography-83682a1-font-family ), Sans-serif; font-size: var( --e-global-typography-83682a1-font-size ); letter-spacing: var( --e-global-typography-83682a1-letter-spacing ); word-spacing: var( --e-global-typography-83682a1-word-spacing ); background-color: var( --e-global-color-39ccc9c );\">The Solution<\/strong><\/h4><p>Our AI-powered platform analyzes social media conversations in real-time,\u00a0providing insights into viewer sentiment, trending topics,\u00a0and audience preferences.\u00a0This enables broadcasters to:<\/p><ul><li>Capture the pulse of their audience<\/li><li>Identify trending topics and themes<\/li><li>Personalize the viewing experience<\/li><li>Make data-driven decisions<\/li><\/ul><h4><strong>Key Features<\/strong><\/h4><ul><li>Real-time Sentiment Analysis (optimized for Japanese)<\/li><li>Dynamic Topic Extraction<\/li><li>Concise Automated Summaries<\/li><li>Seamless Integration with existing workflows<\/li><\/ul><h4><strong data-start=\"1293\" data-end=\"1304\">Outcome<\/strong><\/h4><p>By analyzing social media data, our client (a broadcasters) gained the ability to track how discussions around programs and performers spread, allowing them to implement appropriate measures at an early stage. Furthermore, they leveraged quantitative data on user interests and preferences to propose effective promotional strategies for sponsors and advertisers.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>",
        "protected": false
    },
    "excerpt": {
        "rendered": "<p>Our AI-powered platform analyzes social media conversations in real-time, providing insights into viewer sentiment, trending topics, and audience preferences.<\/p>",
        "protected": false
    },
    "author": 2,
    "featured_media": 4195,
    "comment_status": "closed",
    "ping_status": "open",
    "sticky": false,
    "template": "",
    "format": "standard",
    "meta": {
        "inline_featured_image": false,
        "footnotes": ""
    },
    "categories": [
        9
    ],
    "tags": [
        24,
        23,
        26,
        21,
        22,
        25,
        53,
        44,
        54
    ],
    "class_list": [
        "post-3983",
        "post",
        "type-post",
        "status-publish",
        "format-standard",
        "has-post-thumbnail",
        "hentry",
        "category-case-studies",
        "tag-analytics",
        "tag-audience",
        "tag-broadcaster",
        "tag-genai",
        "tag-realtime",
        "tag-television",
        "tag-53",
        "tag-ai",
        "tag-54"
    ],
    "acf": [],
    "_links": {
        "self": [
            {
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/posts\/3983",
                "targetHints": {
                    "allow": [
                        "GET"
                    ]
                }
            }
        ],
        "collection": [
            {
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/posts"
            }
        ],
        "about": [
            {
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/types\/post"
            }
        ],
        "author": [
            {
                "embeddable": true,
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/users\/2"
            }
        ],
        "replies": [
            {
                "embeddable": true,
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/comments?post=3983"
            }
        ],
        "version-history": [
            {
                "count": 13,
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/posts\/3983\/revisions"
            }
        ],
        "predecessor-version": [
            {
                "id": 5636,
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/posts\/3983\/revisions\/5636"
            }
        ],
        "wp:featuredmedia": [
            {
                "embeddable": true,
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/media\/4195"
            }
        ],
        "wp:attachment": [
            {
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/media?parent=3983"
            }
        ],
        "wp:term": [
            {
                "taxonomy": "category",
                "embeddable": true,
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/categories?post=3983"
            },
            {
                "taxonomy": "post_tag",
                "embeddable": true,
                "href": "https:\/\/technica.ai\/en\/wp-json\/wp\/v2\/tags?post=3983"
            }
        ],
        "curies": [
            {
                "name": "wp",
                "href": "https:\/\/api.w.org\/{rel}",
                "templated": true
            }
        ]
    }
}