KOL Radar has introduced the \u201cDeep Tag” feature to provide a more data-driven analysis of the content types produced by influencers, by combining AI crawling technology with Natural Language Processing (NLP) semantic analysis to automatically categorise content tags based on the textual content of influencers\u2019 posts. This innovative tool assists brands to quickly and accurately understand the ever-changing landscape of the influencer community market. <\/p>\n\n\n\n
With\u00a0 Deep Tag, KOL Radar calculates the proportion of content types produced by influencers and their community engagement data, so that brands can swiftly and precisely grasp the preferences of the target market creating influencer marketing campaigns that resonate with the consumer. *Currently, Deep Tag is exclusively available to KOL Radar\u2019s team in influencer marketing projects.<\/p>\n\n\n\n
AI provides a semantic analysis of influencer content tags, enabling real-time and precise tracking of content types and their effectiveness<\/strong><\/h2>\n\n\n\n1. Precise Semantic Analysis for Automatic Tagging <\/strong><\/h3>\n\n\n\nThe all-new Deep Tag feature utilises AI-powered automated tagging technology to categorise the content of each influencer\u2019s posts, encompassing a total of 27 content attributes. By leveraging lexicons and Word Embedding techniques in Natural Language Processing (NLP), it automatically identifies the types of content and assigns relevant tags. This not only reduces the time delay in understanding the market but also provides real-time insights into the latest trends in influencer content. KOL Radar<\/a> will continuously update the social tags of influencers, ensuring their attribute categories are up to date with the most current trends.<\/p>\n\n\n\n![\"\u622a\u5716](\"https:\/\/internal-www.kolr.ai\/wp-content\/uploads\/2024\/10\/\u622a\u5716-2024-10-25-\u4e0b\u53483.21.05.png\")
<\/a><\/figure>\n\n\n\n2. Accurate Tracking of Influencer Content Types <\/strong><\/h3>\n\n\n\nThe Deep Tag\u2019s radar chart presents the distribution of the top 5 content types managed by influencers. Additionally, it automatically calculates the \u201cinteraction rate” and \u201cvideo view rate” of all posts in the top 5 content types in real-time. Brands can use the overview to understand the primary content influencers are currently focusing on within their communities. By combining this with performance data, brands can further determine which content types are most engaging, performing the best and are most favoured by the followers in the influencer community.<\/p>\n\n\n\n
3. Evaluating KOL content effectiveness<\/strong><\/h3>\n\n\n\nDeep Tag allows KOL Radar<\/a> to analyse the distribution of influencer content over approximately 3 or 6 months to observe the effectiveness of influencer posts across various social platforms and different content types. Brands can use this data to understand the recent trends in influencer content and identify influencers whose content aligns with their brand identity. Moreover, KOL Radar employs Deep Tag to identify content tags that are the most engaging within the chosen influencer\u2019s audience, allowing brands to design campaigns tailored to follower preferences and seamlessly integrate product features into the content. This approach fosters collaboration that generates follower discussions and buzz.<\/p>\n\n\n\nKOL Radar\u2019s Deep Tag offers services to a wide range of businesses and brands. For example, the next two cases where influencers achieved remarkable engagement results. Let\u2019s take a closer look together!<\/p>\n\n\n\n
Game streamer and financial advisor: <\/strong>\u4e01\u7279<\/strong><\/a><\/p>\n\n\n\nFormer professional jungler (killing monsters to gain gold and experience) for Taiwan\u2019s first eSports world champion team Taipei Assassins, \u4e01\u7279, is also currently the CEO of the eSports professional team Beyond Gaming, and a well-known streamer. His professionalism in League of Legends and his humorous and straightforward communication style can engage his audience well. According to KOL Radar\u2019s statistics, \u4e01\u7279 has amassed a total of 1,509,578 followers over the past nine years, and most of his content has revolved around gaming, solidifying the public\u2019s impression of him as primarily a \u201cgaming” influencer.<\/p>\n\n\n\n![\"\u4e01\u7279](\"https:\/\/shoheiwadaikalatv.wordpress.com\/wp-content\/uploads\/2024\/08\/3b34b-unnamed-10.png\")
Source: \u4e01\u7279<\/strong><\/a>\u2018s YouTube<\/figcaption><\/figure>\n\n\n\nHowever, utilising KOL Radar<\/a>\u2019s Deep Tag analysis, it has been revealed that on \u4e01\u7279\u2019s YouTube channel, apart from his original forte in \u201cgaming” content, the \u201cfinancial” content boasts an interaction rate as high as 0.55%, surpassing the engagement performance of gaming content (0.22%). Furthermore, the financial video view rate is 1.4 times that of gaming content. Based on this analytical data, it\u2019s evident that \u4e01\u7279\u2019s audience doesn\u2019t just enjoy watching him play games and chat; they also appreciate his insights into investments. This has given financial-related content a fresh angle for \u4e01\u7279\u2019s recent channel strategy, opening up possibilities for collaborations in the financial sector.<\/p>\n\n\n\n![\"Tag](\"https:\/\/shoheiwadaikalatv.wordpress.com\/wp-content\/uploads\/2024\/08\/d5674-unnamed-11.png\")
<\/a>Source: KOL Radar<\/strong><\/a><\/figcaption><\/figure>\n\n\n\nGaming, unboxing collectables, and travel content: <\/strong>\u5b89\u5b89\u908a\u7de3\u5b50<\/strong><\/a><\/p>\n\n\n\nThe channel \u201c\u5b89\u5b89\u908a\u7de3\u5b50” is a team consisting of \u963f\u6c11 and \u963f\u61b2. The channel\u2019s style primarily revolves around gaming, unboxing collectables, and daily short videos. After 2019, they gained a substantial number of new followers through their \u201cFen Shou” (a series where they open various collectable items) series. They invested heavily to complete their collectable sets and provided authentic assessments of the strengths and weaknesses of each product from the perspective of a collector, becoming a reference for viewers before buying a product. As a result, \u5b89\u5b89\u908a\u7de3\u5b50 has become a significant opinion leader in the unboxing genre, associated with labels such as unboxing and gaming.<\/p>\n\n\n\n![\"\u5b89\u5b89\u908a\u7de3\u5b50's](\"https:\/\/shoheiwadaikalatv.wordpress.com\/wp-content\/uploads\/2024\/08\/97bf0-unnamed-12.png\")
Source: \u5b89\u5b89\u908a\u7de3\u5b50<\/strong><\/a>\u2018s YouTube<\/figcaption><\/figure>\n\n\n\nAccording to the content analysis data from KOL Radar Deep Tag, in the past few months, \u5b89\u5b89\u908a\u7de3\u5b50\u2019s YouTube channel has started creating travel-related videos, and their performance in the social media community has been outstanding. Not only does their average engagement rate surpass their other videos, but their video view rate also reaches as high as 42.65%. This is around 70% higher than the view rate for gaming content. The unexpected appeal of the travel theme has captured the audience\u2019s interest in \u5b89\u5b89\u908a\u7de3\u5b50, presenting a new opportunity for brand collaborations.<\/p>\n\n\n\n![\"Tag](\"https:\/\/shoheiwadaikalatv.wordpress.com\/wp-content\/uploads\/2024\/08\/6fcda-unnamed-13.png\")
<\/a>Source:\u00a0KOL Radar<\/strong><\/a><\/figcaption><\/figure>\n\n\n\nConclusion<\/strong><\/h2>\n\n\n\nKOL Radar\u2019s Deep Tag, powered by AI crawling technology and NLP semantic analysis techniques offers a deeper understanding of influencer content and follower preferences. It empowers brands to plan highly engaging influencer marketing campaigns and strategies that align seamlessly with the target consumer preferences.<\/p>\n\n\n\n![\"Welcome](\"https:\/\/shoheiwadaikalatv.wordpress.com\/wp-content\/uploads\/2024\/08\/a8125-image1-5.png?w=1024&h=538\")
<\/a><\/figure>\n\n\n\n
The all-new Deep Tag feature utilises AI-powered automated tagging technology to categorise the content of each influencer\u2019s posts, encompassing a total of 27 content attributes. By leveraging lexicons and Word Embedding techniques in Natural Language Processing (NLP), it automatically identifies the types of content and assigns relevant tags. This not only reduces the time delay in understanding the market but also provides real-time insights into the latest trends in influencer content. KOL Radar<\/a> will continuously update the social tags of influencers, ensuring their attribute categories are up to date with the most current trends.<\/p>\n\n\n\n The Deep Tag\u2019s radar chart presents the distribution of the top 5 content types managed by influencers. Additionally, it automatically calculates the \u201cinteraction rate” and \u201cvideo view rate” of all posts in the top 5 content types in real-time. Brands can use the overview to understand the primary content influencers are currently focusing on within their communities. By combining this with performance data, brands can further determine which content types are most engaging, performing the best and are most favoured by the followers in the influencer community.<\/p>\n\n\n\n Deep Tag allows KOL Radar<\/a> to analyse the distribution of influencer content over approximately 3 or 6 months to observe the effectiveness of influencer posts across various social platforms and different content types. Brands can use this data to understand the recent trends in influencer content and identify influencers whose content aligns with their brand identity. Moreover, KOL Radar employs Deep Tag to identify content tags that are the most engaging within the chosen influencer\u2019s audience, allowing brands to design campaigns tailored to follower preferences and seamlessly integrate product features into the content. This approach fosters collaboration that generates follower discussions and buzz.<\/p>\n\n\n\n KOL Radar\u2019s Deep Tag offers services to a wide range of businesses and brands. For example, the next two cases where influencers achieved remarkable engagement results. Let\u2019s take a closer look together!<\/p>\n\n\n\n Game streamer and financial advisor: <\/strong>\u4e01\u7279<\/strong><\/a><\/p>\n\n\n\n Former professional jungler (killing monsters to gain gold and experience) for Taiwan\u2019s first eSports world champion team Taipei Assassins, \u4e01\u7279, is also currently the CEO of the eSports professional team Beyond Gaming, and a well-known streamer. His professionalism in League of Legends and his humorous and straightforward communication style can engage his audience well. According to KOL Radar\u2019s statistics, \u4e01\u7279 has amassed a total of 1,509,578 followers over the past nine years, and most of his content has revolved around gaming, solidifying the public\u2019s impression of him as primarily a \u201cgaming” influencer.<\/p>\n\n\n\n However, utilising KOL Radar<\/a>\u2019s Deep Tag analysis, it has been revealed that on \u4e01\u7279\u2019s YouTube channel, apart from his original forte in \u201cgaming” content, the \u201cfinancial” content boasts an interaction rate as high as 0.55%, surpassing the engagement performance of gaming content (0.22%). Furthermore, the financial video view rate is 1.4 times that of gaming content. Based on this analytical data, it\u2019s evident that \u4e01\u7279\u2019s audience doesn\u2019t just enjoy watching him play games and chat; they also appreciate his insights into investments. This has given financial-related content a fresh angle for \u4e01\u7279\u2019s recent channel strategy, opening up possibilities for collaborations in the financial sector.<\/p>\n\n\n\n Gaming, unboxing collectables, and travel content: <\/strong>\u5b89\u5b89\u908a\u7de3\u5b50<\/strong><\/a><\/p>\n\n\n\n The channel \u201c\u5b89\u5b89\u908a\u7de3\u5b50” is a team consisting of \u963f\u6c11 and \u963f\u61b2. The channel\u2019s style primarily revolves around gaming, unboxing collectables, and daily short videos. After 2019, they gained a substantial number of new followers through their \u201cFen Shou” (a series where they open various collectable items) series. They invested heavily to complete their collectable sets and provided authentic assessments of the strengths and weaknesses of each product from the perspective of a collector, becoming a reference for viewers before buying a product. As a result, \u5b89\u5b89\u908a\u7de3\u5b50 has become a significant opinion leader in the unboxing genre, associated with labels such as unboxing and gaming.<\/p>\n\n\n\n According to the content analysis data from KOL Radar Deep Tag, in the past few months, \u5b89\u5b89\u908a\u7de3\u5b50\u2019s YouTube channel has started creating travel-related videos, and their performance in the social media community has been outstanding. Not only does their average engagement rate surpass their other videos, but their video view rate also reaches as high as 42.65%. This is around 70% higher than the view rate for gaming content. The unexpected appeal of the travel theme has captured the audience\u2019s interest in \u5b89\u5b89\u908a\u7de3\u5b50, presenting a new opportunity for brand collaborations.<\/p>\n\n\n\n KOL Radar\u2019s Deep Tag, powered by AI crawling technology and NLP semantic analysis techniques offers a deeper understanding of influencer content and follower preferences. It empowers brands to plan highly engaging influencer marketing campaigns and strategies that align seamlessly with the target consumer preferences.<\/p>\n\n\n\n<\/a><\/figure>\n\n\n\n2. Accurate Tracking of Influencer Content Types <\/strong><\/h3>\n\n\n\n
3. Evaluating KOL content effectiveness<\/strong><\/h3>\n\n\n\n
<\/a><\/a>Conclusion<\/strong><\/h2>\n\n\n\n
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