Alicia LeBeouf, Head of Industry — Retail and  E-Commerce at Meta, sits down with John Storms, GM and Head of Media Network at Lowe’s Companies, Inc., to discuss the future of retail media, data-driven personalization and omnichannel innovation.

Key Takeaways:

(03:05) Retail media connects ads to shoppers in relevant ways.

(06:04) Scale and measurement rely on automation and AI.

(07:21) AI helps automate and improve service for partners.

(11:57) Customer journeys are long, nonlinear and cross many channels.

(14:29) First-party data enables better personalization and results.

(17:44) Advanced analytics provide deeper insights and learning.

(19:15) Tracking new customers and incremental impact is essential.

(26:22) Omnichannel campaigns boost offline results and drive higher returns.

Resources Mentioned:

Alicia LeBeouf https://www.linkedin.com/in/alicialebeouf/

Meta https://www.linkedin.com/company/meta/

John Storms https://www.linkedin.com/in/john-storms-883428b6/

Lowe’s Companies, Inc. | LinkedIn https://www.linkedin.com/company/lowe's-home-improvement/

Lowe’s | Website https://www.lowes.com/

Shoptalk https://shoptalk.com/

#innovation #technology #genz #metaverse #socialmedia #socialmediamarketing

On this episode, Jane Ostler, EVP of Global Solutions Marketing and Thought Leadership at Kantar, joins Shekhar Deshpande, Head of Strategy, Global Clients, at Meta. They discuss how brands can create high-impact advertising by integrating creative effectiveness with data-driven insights.

Key Takeaways:

(04:28) Data removes guesswork and reveals useful insights.

(07:08) Creative quality strongly affects advertising profitability.

(11:38) Experts and AI must work together for insights.

(13:59) Human connection boosts ad impact by 81%.

(15:50) Marketers often undervalue humans in advertising.

(17:59) Blending brand and product improves ad results.

(21:01) Phones are today’s most personal ad platform.

(23:57) Quick cuts are now used in traditional media.

(26:41) Consistent visuals make brands more memorable.

(31:52) Data helps accurately predict ad performance.

(35:02) AI speeds production but doesn’t ensure strong ads.

Resources Mentioned:

Jane Ostler https://www.linkedin.com/in/janeostler/

Kantar | LinkedIn https://www.linkedin.com/company/kantar/

Kantar | Website https://www.kantar.com/

Shekhar Deshpande https://www.linkedin.com/in/shekhardeshpande/

Ad Age Report on Creative Effectiveness https://adage.com/article/special-report-cannes-lions/research-meta-kantar-and-creativex-announces-new-era-storytelling/2568276

Meta  https://www.linkedin.com/company/meta/

#innovation #technology #genz #metaverse #socialmedia #socialmediamarketing

We’re joined by Dimi Albers, Global CEO of DEPT®, to explore how brands can scale creative ideas and deliver true personalization. Dimi shares insights on aligning technology with customer motivations, creating seamless experiences across the journey, and understanding both opportunities and limitations of data.

Key Takeaways:

(02:29) AI practice that goes deeper than traditional digital agencies.

(04:10) Growth and competitive success are the real AI opportunities.

(06:58) Automation and machine learning transform content creation at scale.

(09:35) Creativity must align with available data and platform limits.

(13:27) Scaling digital campaigns requires smarter content optimization.

(17:36) Deeper customer journeys drive effective personalization.

(21:40) Understanding and applying technology to drive transformation.

(24:03) Personalization requires strong data stacks and AI tools.

(26:10) Technology moves fast, but organizational change takes time.

(28:07) Marketing teams will grow, not shrink, with technology.

Resources Mentioned:

Dimi Albers -

https://www.linkedin.com/in/dimialbers/

DEPT® -

https://www.linkedin.com/company/deptagency/

DEPT® -

https://www.deptagency.com/

Meta Advantage Suite -

https://www.meta.com/

#innovation #technology #metaverse #socialmedia #socialmediamarketing #AI #productivity #evolution #creative #differentiation

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

On this episode, we’re joined by Shakir Moin, President, Marketing for Coca-Cola North America. Shakir shares how Coca-Cola is leveraging AI, data and storytelling to build iconic brands that resonate with consumers. He explains the importance of creative excellence, the power of hyper-targeted media strategies and how to maintain brand relevance in an evolving digital landscape. Shakir also discusses the challenges and opportunities of integrating AI into marketing for long-term growth and brand building. Key Takeaways: (02:15) Coca-Cola leverages AI and data to drive brand growth.

(05:42) Creative accounts for 50% of a campaign’s success on Meta.

(08:30) Hyper-targeted media strategies effectively reach specific audiences.

(11:18) Balancing long and short-form content engages diverse consumer groups.

(14:05) AI is crucial for attracting new consumers and driving growth.

(17:45) World-class brands are built by investing in world-class people.

(20:20) Creating memorable brand experiences is central to Coca-Cola’s strategy.

(22:58) Digital experiences are transforming brand-consumer connections.

(25:35) Measuring marketing impact through data is essential at Coca-Cola.

(28:10) Integrating AI into marketing poses both challenges and opportunities.

(31:22) Emphasis on storytelling enhances consumer engagement and loyalty.

(34:45) Tailoring content for platforms like Instagram boosts relevance.

(37:15) Consumer insights guide Coca-Cola’s evolving marketing strategies.

(40:02) Coca-Cola continues to innovate with AI and data-driven marketing.

Resources Mentioned: Shakir Moin - https://www.linkedin.com/in/shakir-moin-7b83941/ Coca-Cola | LinkedIn - https://www.linkedin.com/company/the-coca-cola-company/ Marvel - https://www.marvel.com/ Oppenheimer - https://www.oppenheimerfilm.com/

Keep up with the latest from Meta’s Business Engineering Team by following us on Medium.

#innovation #technology #genz #metaverse #socialmedia #socialmediamarketing

On this episode, Jordan Rogers Smith is joined by Philip Buerger, Co-Founder and Chief Strategy Officer of TubeScience, and Chiwei Lee, Director, Americas - Creative Shop at Meta. They discuss the vital role of creative content in performance marketing, the shift from static to video content, and how brands can navigate and optimize their creative strategies in the evolving digital landscape.

Key Takeaways:

(00:18) Introduction of Philip Buerger and TubeScience. 

(01:27) The shift from static to video content and its impact.

(02:43) The need for creative diversity in ad portfolios.

(04:12) Managing creative fatigue and audience burnout. 

(05:59)  Leveraging creator-led content for effective ads.

(06:50) Building top-of-funnel content to attract broader audiences.

(12:48) Importance of a clear strategy for testing and iterating ads. 

(17:31) AI's role in creative processes and marketing.

(24:12) Being consumer-centric in content creation.

Resources Mentioned: Philip Buerger - https://www.linkedin.com/in/philip-buerger-13943932/ TubeScience | LinkedIn - https://www.linkedin.com/company/tubescience/ TubeScience | Website - https://www.tubescience.com Chiwei Lee - https://www.linkedin.com/in/chiweilee/ Meta - https://www.linkedin.com/company/meta/ Keep up with the latest from Meta’s Business Engineering Team by following us on Medium.

#innovation #technology #genz #metaverse #socialmedia #socialmediamarketing #creative #ads

On this episode, Meta’s Vice President and Global Head of Creative Shop, Jimmie Stone, and VP Business Engineering, Global Business Group, Artur Souza, dive into the integration of creativity and AI in marketing. They explore how Meta's ecosystem connects billions of people and the role of AI in enhancing creativity and targeting. They also discuss the future of AI in marketing and the importance of sustainable energy for powering AI advancements.

Key Takeaways:

(05:00) Drawing campaigns from culture, collaborating with creators and moving at the speed of culture.

(06:25) Aligning marketing with cultural trends and scaling creative content through AI advancements.

(07:13) Connecting the right audience to the right content through AI.

(10:58) Rethinking personalization due to privacy changes.

(14:15) Improving audience matching and reducing content fatigue with diverse creative content.

(18:18) Improving ad performance through AI-driven insights.

(24:51) Creating cost-effective, high-quality content from descriptions with generative AI.

(34:55) Simplifying user experience with natural language interaction with AI.

(43:29) Requiring significant advances in hardware and energy efficiency for AGI.

#innovation #technology #genz #metaverse #socialmedia #socialmediamarketing