The most important learning about data at Meta
- B2B
- Data & Analytics, AI
- Marketing Analytics
- Artificial Intelligence, Big Data, Data-driven products
- Part 1CMO and Former Meta AI Marketer on AI’s Reality Check
- Part 2 The most important learning about data at Meta
- Part 3Quickest way to improve analytics using live data in a campaign
- Part 4What legacy marketing metric needs to die?
- Part 5What will the marketing analytics tech-stack look like in 5 years?
Episode Chapters
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01:32: Why Organizations Stick with Delayed Dashboards
Legacy system investments and user behavior resistance create barriers to adopting live data, while the modern data stack remains fragmented and costly.
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03:05: AI Migration as Foundation Problem
Unlike previous technology migrations, AI requires rethinking data processing fundamentals rather than simply adding layers to existing infrastructure.
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06:10: Real-Time Infrastructure Migration Challenges
Companies struggle with costly, time-consuming migrations that risk data loss and require identifying specific organizational pockets where incremental value justifies the investment.
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08:56: Live Data ROI in Key Verticals
Retail, supply chain, manufacturing, and finance sectors demonstrate clear returns through waste optimization, inventory management, and real-time decision making capabilities.
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13:32: Industries Where Live Data Matters
Even unexpected sectors like education benefit from real-time analytics for student outcomes and curriculum adjustments as technology becomes pervasive across all industries.
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16:19: Balancing Data Access with Focus
The creative process requires space for exploration and rabbit holes, as rigid KPI limitations can prevent breakthrough insights and i ovation opportunities.
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17:46: Meta Marketplace COVID Pivot Story
Unlimited data querying enabled the discovery that users sought alternative exchange methods during lockdowns, leading to subsidized C2C shipping and hockey stick growth.
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22:12: Combining Structure with Exploration
Successful data strategies require both North Star metrics and KPIs for business performance tracking, plus the flexibility to investigate trends and understand underlying causes.
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Episode Summary
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The Most Important Learning About Data at Meta: How Live Data Transforms Business Performance
Introduction
Noha Rizk, CMO of Incorta and former Global Head of Marketing at Meta AI, brings a unique perspective on how live data fundamentally changes business operations. With 25+ years of marketing leadership experience and deep insights from scaling products like Facebook Marketplace during critical growth periods, Rizk reveals why 54% of companies increased their data analytics investments last year—and why most are still getting it wrong by relying on outdated dashboards and stale reporting systems. -
Breaking Free from Legacy Data Systems
The modern data stack is fundamentally broken. As Rizk explains, organizations remain trapped by legacy systems they've invested millions into, creating a fragmented, slow, and costly infrastructure. "People are just committed to legacy systems that they've invested large amounts of money and time to putting together and changing those systems is difficult," she notes. The real problem emerges when companies try to layer AI on top of these outdated foundations without addressing core co ectivity and context issues. -
The Human Side of Data Migration
Migration isn't just a technical challenge—it's a human one. Rizk draws parallels to the early internet days when companies built static websites that mimicked physical brochures rather than leveraging the web's interactive capabilities. Today's organizations make the same mistake with AI, attempting to automate existing processes instead of fundamentally rethinking their approach to data. The key is identifying where incremental value exists within your organization and focusing migration efforts on those high-impact areas. -
Real-World ROI from Live Data Implementation
Live data delivers measurable business impact across specific verticals where timing matters. In retail, one of Incorta's food retail customers with 3,000 physical branches uses real-time analytics to optimize inventory movement and reduce waste. By tracking item movement throughout the day, they can push geo-targeted promotions to move perishable inventory before it spoils and transfer products between locations based on demand patterns. This single use case translates to hundreds of thousands of dollars in recovered revenue. -
Manufacturing and Supply Chain Optimization
Manufacturing companies leverage live data to monitor production across multiple facilities, where "every cent counts in hundreds of thousands of dollars in terms of their revenue and their cost of manufacturing." Real-time visibility into factory floor operations enables immediate adjustments that compound into significant cost savings. Finance teams use live data for optimal trading signals and risk management, while retail organizations improve customer experiences by ensuring advertised products remain available in real-time. -
The Creative Power of Unlimited Data Access
The true value of live data extends beyond operational efficiency to unlock human creativity and i ovation. Rizk shares a compelling example from her time at Meta, where access to real-time user behavior data enabled the Facebook Marketplace team to pivot during COVID-19. When the pandemic halted in-person transactions, the team identified signals that users were seeking alternative exchange methods. This insight led to the introduction of subsidized C2C shipping, transforming Marketplace from steady growth to "hockey stick growth" and making it one of Facebook's largest drivers of daily active users. -
Balancing Structure with Exploration
While unlimited data access enables creativity, organizations still need North Star metrics and clear KPIs. The power of live data isn't in replacing strategic focus but in enabling rapid investigation when trends shift. As Rizk emphasizes, business users who understand their specific domains need the ability to query data without waiting for IT to redesign entire pipelines. This democratization of data access allows those closest to the problems to identify solutions quickly. -
Key Takeaways for Marketing Leaders
The shift to live data infrastructure represents more than a technical upgrade—it's a fundamental change in how organizations operate and compete. Success requires identifying high-value use cases where real-time insights drive measurable ROI, whether through waste reduction, inventory optimization, or enhanced customer experiences. Marketing leaders should focus migration efforts on areas where timing directly impacts business outcomes while maintaining strategic KPIs to guide exploration. Most importantly, live data unlocks the creative potential of teams by enabling rapid hypothesis testing and discovery of unexpected opportunities, as demonstrated by Meta's Marketplace transformation during an unprecedented global crisis. -
- Part 1CMO and Former Meta AI Marketer on AI’s Reality Check
- Part 2 The most important learning about data at Meta
- Part 3Quickest way to improve analytics using live data in a campaign
- Part 4What legacy marketing metric needs to die?
- Part 5What will the marketing analytics tech-stack look like in 5 years?
Up Next:
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Part 1CMO and Former Meta AI Marketer on AI’s Reality Check
Most companies struggle with stale data and delayed dashboards. Noha Rizk, CMO of Incorta and former Global Head of Marketing at Meta AI, explains how live data infrastructure drives real business impact. She details how retail chains optimize inventory waste through real-time promotions, manufacturing companies save hundreds of thousands through live factory floor analytics, and finance teams make faster trading decisions with immediate market data.
Play Podcast -
Part 2The most important learning about data at Meta
Most companies rely on stale dashboards while AI demands live data for real-time decisions. Noha Rizk, CMO of Incorta, explains how enterprises can transition from legacy data systems to real-time analytics infrastructure. She covers identifying high-ROI use cases like retail waste optimization and supply chain management, implementing live data without complex ETL processes, and enabling business users to query data instantly for creative problem-solving.
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Part 3Quickest way to improve analytics using live data in a campaign
Most companies rely on stale dashboards despite live data capabilities. Noha Rizk, CMO of Incorta, explains how real-time data infrastructure transforms business decisions across retail, manufacturing, and finance sectors. She covers identifying high-ROI use cases for live data migration, optimizing inventory management through real-time analytics, and balancing structured KPIs with exploratory data analysis to unlock creative business insights.
Play Podcast -
Part 4What legacy marketing metric needs to die?
Legacy marketing metrics fail when they can't deliver real-time insights. Noha Rizk, CMO of Incorta, explains how live data transforms analytics from static reporting into actionable intelligence. She demonstrates how questioning "why" behind data patterns reveals customer behavior insights that traditional delayed metrics miss. The discussion covers moving from data collection to insight generation and using real-time analysis to make immediate business decisions.
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Part 5What will the marketing analytics tech-stack look like in 5 years?
Marketing analytics stacks struggle with outdated, siloed data that delays critical business decisions. Noha Rizk, CMO of Incorta, explains how live data integration transforms enterprise analytics capabilities. She demonstrates how questioning "why" behind data patterns unlocks actionable insights and discusses eliminating complex ETL processes through real-time analysis across all business systems. The conversation covers practical frameworks for moving from raw data collection to immediate business intelligence that drives customer behavior understanding.
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