is revolutionizing advertising pre-production @ CES 2024 - Show Notes is revolutionizing advertising pre-production @ CES 2024

Monday May 20, 2024 (00:08:27)


The use of artificial intelligence (AI) in pre-testing advertisement success is a groundbreaking innovation that has the potential to revolutionize the advertising industry. This technology, as demonstrated by Celine Udriot, the COO of, allows advertisers to assess the potential success of their advertisements before investing time and money into production. By utilizing AI to analyze consumer behavior and preferences, advertisers can gain valuable insights into the effectiveness of their campaigns, leading to more targeted and impactful advertisements.

AI platform pre-tests advertisement success

One of the key features of's AI platform is the ability to create simulated focus groups, which provide advertisers with valuable feedback on their advertisements. These simulated focus groups allow advertisers to test their ideas with a diverse range of personas, enabling them to understand how different demographic groups may respond to their advertisements. By leveraging AI to analyze the feedback from these focus groups, advertisers can make data-driven decisions about their campaigns, leading to more successful outcomes.

In addition to analyzing consumer behavior,'s AI platform also has the capability to create storyboards and generate competitive ideas for advertisements. This early-stage input allows advertisers to refine their ideas and concepts before moving forward with production, saving time and resources in the process. By leveraging AI to streamline the creative process, advertisers can ensure that their advertisements resonate with their target audience and drive desired outcomes.

One of the key advantages of using AI in pre-testing advertisement success is the speed and efficiency with which feedback can be obtained. Traditional methods of testing advertisements can be time-consuming and costly, often requiring weeks or even months to gather and analyze data. By contrast, AI-powered simulations can provide advertisers with actionable insights in a fraction of the time, allowing them to make informed decisions quickly and effectively.

Furthermore, the accuracy and reliability of AI-powered simulations have been demonstrated through rigorous testing and comparison with traditional methods. In a white paper conducted by, the results of simulated focus groups were found to be comparable, and in some cases even superior, to traditional methods of testing advertisements. This validation of the AI platform's effectiveness provides advertisers with confidence in the reliability of the data and insights generated, leading to more successful advertising campaigns.

Expand advertisement analysis for audio

One area that holds great potential for expansion in advertisement analysis is the realm of audio advertising. While much attention has been given to visual advertisements, such as those found in movies or on social media platforms, the power of audio advertising should not be overlooked. In fact, there is a growing market for audio advertising analysis, as podcasts and other forms of audio content continue to gain popularity.

One of the challenges with audio advertising is that it is often ad-libbed, meaning that the copy is not scripted and can vary in delivery and content. This presents a unique opportunity for AI technology to analyze and improve audio advertising effectiveness. By utilizing AI to analyze audio advertisements, advertisers can gain insights into what resonates with listeners, what drives engagement, and how to optimize their messaging for maximum impact.

For example, AI technology could be used to analyze the tone, pacing, and language used in audio advertisements to determine what elements are most effective in capturing the attention of listeners. By identifying patterns and trends in successful audio advertisements, advertisers can tailor their messaging to better connect with their target audience and drive desired outcomes.

Additionally, AI can be used to conduct sentiment analysis on audio advertisements, gauging listener reactions and emotions to determine the overall effectiveness of the ad. This data can then be used to make informed decisions about future advertising strategies, optimizing campaigns for better results.

Conclusion: AI can streamline advertising pre-production processes

Overall, the use of AI in pre-testing advertisement success represents a significant advancement in the advertising industry. By leveraging AI to analyze consumer behavior, generate competitive ideas, and conduct simulated focus groups, advertisers can gain valuable insights into the effectiveness of their campaigns and make data-driven decisions that lead to successful outcomes. As demonstrated by, the future of advertising is increasingly reliant on AI technology, paving the way for more targeted, impactful, and successful advertising campaigns.

Interview by Todd Cochrane of Geek News Central.

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Scott Ertz

Episode Author

Scott is a developer who has worked on projects of varying sizes, including all of the PLUGHITZ Corporation properties. He is also known in the gaming world for his time supporting the rhythm game community, through DDRLover and hosting tournaments throughout the Tampa Bay Area. Currently, when he is not working on software projects or hosting F5 Live: Refreshing Technology, Scott can often be found returning to his high school days working with the Foundation for Inspiration and Recognition of Science and Technology (FIRST), mentoring teams and helping with ROBOTICON Tampa Bay. He has also helped found a student software learning group, the ASCII Warriors, currently housed at AMRoC Fab Lab.

Todd Cochrane

Network Host

Todd is the CEO of RawVoice / Blubrry - a podcast media company that represents 105,000 Audio and Video podcasters in which his company provides advertising opportunities, media distribution/hosting, podcast media statistics and other services. He is a podcast advertising specialist. Executing podcast advertising deals with a variety of national vendors for the past 13 years. Todd was responsible for bringing GoDaddy into the Podcast Advertising Space as one of the first podcast advertisers in 2005.


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