Meta Business, Innovation and Technology Podcast

In this live recording from the Meta Agency Summit 2024, we’re joined by Amanda Mollet, EVP, Performance of Spark Foundry, Joe Yakuel, Founder and CEO of WITHIN, and Ralph Burns, Founder and CEO of Tier 11. We dive into the challenges of balancing brand-building with performance marketing, the evolving consumer journey and the power of AI in campaign optimization.   Key Takeaways: (03:27) Multi-objective buying aligns with real-world consumer behavior. (05:45) AI helps brands personalize campaigns at scale. (07:15) Performance requires investment in testing and learning. (10:32) Short-form video, like Reels, boosts engagement. (12:48) Consistency across campaigns builds better relationships. (15:22) Balancing brand and direct response is crucial for growth. (17:36) Data-driven insights drive better campaign decisions. (19:58) Long-term success requires aligning CMOs and CFOs. (22:14) Understanding consumer journeys leads to better targeting.   Resources Mentioned: Amanda Mollet - https://www.linkedin.com/in/amanda-mollet-b3bb623/ Spark Foundry - https://www.linkedin.com/company/sparkfoundry/ Joe Yakuel - https://www.linkedin.com/in/josephyakuel/ Ralph Burns  - https://www.linkedin.com/in/ralphburns/ WITHIN - https://www.linkedin.com/company/withinco/ Tier 11 - https://www.linkedin.com/company/tiereleven/ Meta Advantage+  https://www.facebook.com/business/advantage-plus Meta Blueprint: Digital Marketing Skills - https://www.facebook.com/business/learn Wicked Reports - https://www.wickedreports.com   #innovation #technology #genz #metaverse #socialmedia #socialmediamarketing

On today’s episode, we’re joined by Andrew Ng, Founder of DeepLearning.AI, Managing General Partner of AI Fund and Executive Chairman of LandingAI. We explore the immense opportunities within AI, focusing on large language and multi-modal models. We also discuss managing the risks associated with AI models and the potential for future innovation in the field. Key Takeaways: (02:03) The impact of AI education. (03:51) Large models drive industry-wide opportunities. (04:42) Deep learning possibilities are far from exhausted. (06:06) Openness reduces AI risks. (07:12) Easier switching between AI model providers. (09:17) Openness fosters innovation in AI. (11:24) Guardrails help manage AI risks. (14:37) Hybrid models balance edge and cloud processing. (17:37) The potential of smaller model applications. (20:01) Design patterns emerge for agentic workflows. Resources Mentioned: Andrew Ng - https://www.linkedin.com/in/andrewyng/ DeepLearning.AI - https://www.linkedin.com/company/deeplearningai/ AI Fund - https://www.linkedin.com/company/aifund/ LandingAI - https://www.linkedin.com/company/landing-ai/ PyTorch -  https://pytorch.org  React - https://reactjs.org TensorFlow - https://www.tensorflow.org Introducing Multimodal Llama 3.2 - https://www.deeplearning.ai/short-courses/introducing-multimodal-llama-3-2/ Prompt Engineering with Llama 2 & 3 - https://www.deeplearning.ai/short-courses/prompt-engineering-with-llama-2/     #innovation #technology #genz #metaverse #socialmedia #socialmediamarketing

On this episode, Megan Black, Vice President of Digital Marketing and Media at Sephora, shares insights on how Sephora is navigating the fast-paced marketing cycle. She also discusses the impact of Gen Z on creative strategies, the shift toward an omni-channel approach and the challenges of letting go of past successes to innovate for the future.   Key Takeaways: (06:24) Balancing strategic bets with the need for continuous innovation. (12:26) Letting go of past successes to embrace new strategies for future growth. (15:05) How Gen Z is influencing Sephora’s creative direction (16:34) The role of creators in Sephora’s marketing strategy. 22:51) The importance of an omni-channel approach and breaking down silos. (26:51) The seamless integration of digital and in-store experiences. (29:22) Predictions for the future of marketing, including the blending of brand and performance.   Resources Mentioned: Megan Black - https://www.linkedin.com/in/megan-black-958848/ Sephora - https://www.linkedin.com/company/sephora/ Sephora - https://www.sephora.com     #innovation #technology #genz #metaverse #socialmedia #socialmediamarketing

On this episode, we’re joined by Igor Skokan, Marketing Science Director at Meta, and Davide Fabrizio, Advanced Analytics and Artificial Intelligence Partner at Deloitte. Together, they explore changes and advancements in marketing analytics, focusing on the resurgence of Marketing Mix Modeling (MMM) powered by AI and machine learning.    Key Takeaways: (00:29) Introduction to MMM and its evolution with AI and machine learning. (03:46) The benefits and challenges of integrating AI into MMM. (05:18) The role of human input in the AI-driven MMM process. (08:20) The advantages of open-source solutions like Project Robin for transparency and community collaboration. (12:14) How businesses can transition from managed services to open-source MMM solutions. (20:55) The importance of data quality and model architecture in the success of MMM. (24:21) The evolving relationship between AI-driven automation and human expertise in optimizing MMM processes. (28:21) Predictions for the future of MMM and AI in marketing analytics.   Resources Mentioned: Igor Skokan - https://www.linkedin.com/in/igorskokan/ Meta - https://www.linkedin.com/company/meta/ Davide Fabrizio - https://www.linkedin.com/in/davidefabrizio/ Deloitte - https://www.linkedin.com/company/deloitte/ Meta Open Source - https://opensource.fb.com Deloitte Consulting - https://www.deloitte.com/global/en/services/consulting.html Best Practices to implement a successful Marketing Mix Modeling process -  https://www.deloitte.com/es/es/services/consulting/research/ai-marketing-transformation-mmm.html   Keep up with the latest from Meta’s Business Engineering Team by following us on Medium.   #innovation #technology #genz #metaverse #socialmedia #socialmediamarketing