A revolutionary new product from DynAdmic is changing the entire industry’s ability to effectively target this viewership.
The proportion of households severing their connections to traditional cable is forecast to increase by 44% in the next three years. Consumer adoption has been fast, and the amount of time people are spending on connected devices increases daily. Whilst many marketers know there is a power in the incremental reach created by increasing ad exposure during influential times of the day on CTV, the contextual abilities to target people accurately has been escaping them. Until now.
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The team, at global media leader, DynAdmic have launched a new contextualization technology that is dedicated to dramatically transforming audience analysis and insight for advertisers and solving this problem. DynAdmic’s revolutionary approach semantically analyses and categorizes CTV inventory for the first time ever. This process allows them to enrich the context of the content with information based on the application itself (themes, audiences, publishers) as well with the specific program or series being viewed at the time. This powerful innovative approach is executed by leveraging a specialist semantic categorization method based on Named Entities Recognition (NER). With the NER process DynAdmic are currently rolling out they are analyzing approximately 100 million unique ad placements per day of which one third are from CTV. This analysis has allowed their team to refine the semantic categorization of the entire CTV inventory by more than 50%.
“At DynAdmic we have seen how CTV has improved the customer experience. We want to ensure we are doing the same for the marketers and their ad spend” says founder and CTO, Bruno Champion “Our experience shows that if we can connect our clients’ brands with the consumer accurately, and with relevance, on the CTV channels they earn more of each viewers time and in return increase their ROI.”
The new intelligent systems from DynAdmic leverage the power of semantic algorithms and analytics to disrupt the existing approach and whilst most advertisers still find online video inventory vague, this new arrival in the market is revolutionizing targeting precision based on linguistic programming.
“Our technology is the first to market and is addressing a market-wide problem by bringing contextualization technology to CTV for the first time. We are offering our clients specific KPI measurability and targeting, and a far better user experience for their consumers given the context is accurate and relevant to their personal viewing behaviour. This is a groundbreaking shift, and we couldn’t be more excited to roll it out” closed Champion.
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