The Power of Generative AI for Marketing: A Case Study with Vidmob
This post was co-written in collaboration with Mickey Alon from Vidmob. Generative artificial intelligence (AI) is revolutionizing the marketing industry by enabling the creation of personalized content and optimizing ad targeting with predictive analytics. By analyzing data, generative AI can predict trends, understand public sentiment, and personalize customer journeys, resulting in more effective marketing strategies and increased business growth.
Vidmob, a leading creative data company, recently partnered with the AWS Generative AI Innovation Center (GenAIIC) to uncover meaningful insights within creative data using Amazon Bedrock. This collaboration aimed to enhance Vidmob’s creative analytics capabilities and streamline the process of generating insights for marketing campaigns.
Vidmob Background
Vidmob is a Creative Data company that utilizes creative analytics and scoring software to make strategic creative and media decisions for marketers and agencies. With partnerships across the digital advertising landscape and proprietary machine learning models, Vidmob is at the forefront of driving creative effectiveness through data-driven strategies.
Vidmob’s AI Journey
Vidmob leverages AI not only to enhance its creative data capabilities but also to pioneer advancements in creativity through reinforcement learning with human feedback (RLHF) models. By integrating AI models like Amazon Rekognition into its solutions, Vidmob continues to innovate in the creative data space.
Use Case Overview
Vidmob’s goal is to revolutionize its analytics landscape by empowering customers to query and analyze their creative performance data through a chat interface. By utilizing generative AI, Vidmob aims to make it seamless for customers to generate insights and make informed decisions about their creative strategies. By partnering with AWS GenAIIC, Vidmob sought to automate and accelerate the process of generating insights for creative campaigns.
Solution Overview
The collaboration between Vidmob and AWS GenAIIC focused on analyzing ad data to help creative strategists understand the performance of customer ads. By leveraging Amazon Bedrock, the team aimed to create a scalable solution that could integrate with Vidmob’s performance data and streamline the generation of insights.
Challenges and Solutions
While implementing the solution, the team encountered challenges such as analyzing large volumes of data, evaluating the outputs of language models, and managing multiple creative questions. Through a serverless architecture and strategic utilization of AWS services, the team overcame these challenges and successfully delivered meaningful insights to Vidmob’s creative strategists.
Results and Conclusion
By evaluating the accuracy, relevancy, and clarity of the insights generated, the team demonstrated the effectiveness of the generative AI solution in streamlining the process of generating creative insights. Vidmob expects a significant reduction in the time taken to analyze and generate insights for creative campaigns, ultimately leading to more efficient and impactful marketing strategies.
About the Authors
Mickey Alon is a serial entrepreneur and the CPTO at Vidmob, bringing extensive experience in product-led growth and real-time personalization to the team. Alongside Suren Gunturu, Gaurav Rele, and Vidya Sagar Ravipati of the AWS Generative AI Innovation Center, the team continues to drive innovation in the field of generative AI and data-driven marketing strategies.
Overall, Vidmob’s collaboration with AWS GenAIIC showcases the power of generative AI in transforming the marketing landscape by providing actionable insights and enhancing creative effectiveness. As the partnership continues to evolve, we can expect more innovative solutions that drive business growth and elevate the marketing industry as a whole.