What legacy marketing metric needs to die?
- Part 1CMO and Former Meta AI Marketer on AI’s Reality Check
- Part 2The most important learning about data at Meta
- Part 3Quickest way to improve analytics using live data in a campaign
- Part 4 What 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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00:00: Questioning Data for Insights
The most effective way to improve analytics with live data involves constantly questioning the "why" behind data patterns to extract meaningful insights rather than just collecting raw information.
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00:29: Making Data Co ections
Raw data becomes valuable only when co ections are made between different data points, requiring continuous questioning about why business and customer behaviors manifest in specific ways.
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01:01: Childlike Curiosity with Data
Live data enables marketers to adopt a childlike approach of persistent questioning, allowing for deeper exploration of data insights without the typical constraints of traditional analytics processes.
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Episode Summary
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Why Marketing Analytics Without Insights Is Just Expensive Data Storage
Introduction
Noha Rizk, CMO of Incorta and former Global Head of Marketing at Meta AI, challenges marketers to rethink their approach to data analytics. With over 25 years of experience leading marketing transformations at scale, Rizk brings a refreshing perspective on why live data matters less than the questions we ask of it. Her insights reveal how marketing teams can move beyond data collection to drive real business impact through continuous questioning and insight generation. -
The Critical Gap Between Analytics and Insights
Rizk cuts straight to the core issue plaguing modern marketing departments: the confusion between having analytics capabilities and generating actionable insights. "Analytics is nothing without insights," she emphasizes, drawing a parallel to the classic Pirelli advertising tagline about power without control. This distinction matters because marketing teams invest millions in data infrastructure while missing the fundamental purpose - understanding the why behind customer and business behaviors. -
The problem extends beyond technology selection. Marketing organizations often celebrate their ability to collect and visualize data without questioning whether those visualizations lead to better decisions. Rizk's approach suggests that the quickest path to improving analytics isn't adding more tools or dashboards, but developing a culture of relentless questioning. This shift requires marketers to move from passive data consumers to active investigators who treat every metric as the begi ing of a conversation, not the end.
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Live Data as an Enabler of Continuous Discovery
The Power of Real-Time Questioning
Live data fundamentally changes how marketing teams can interact with their information. Rather than waiting for batch processing or dealing with stale reports, marketers can ask iterative questions and receive immediate answers. This capability transforms analytics from a retrospective exercise into an ongoing dialogue with your business performance. -
Rizk's experience at Meta, overseeing global marketing for products like Instagram Shops and Facebook Marketplace, demonstrates the value of this approach at scale. When marketing teams can question data in real-time, they uncover patterns and opportunities that would otherwise remain hidden in static reports. The technology enables what she playfully describes as acting "like children" - constantly asking "because why?" until you reach meaningful understanding.
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Moving Beyond Surface-Level Metrics
The traditional approach to marketing analytics often stops at surface metrics - conversion rates, click-through rates, and campaign performance. Rizk advocates for deeper investigation: "What is the data trying to tell me? Why are my customers behaving this way? Why is my business behaving this way?" These questions push marketers to co ect data points across systems and uncover the underlying drivers of performance. -
This investigative approach becomes particularly powerful when combined with live data capabilities. Marketing teams can test hypotheses immediately, validate assumptions in real-time, and adjust strategies based on current market conditions rather than last quarter's performance. The result is a more agile, responsive marketing organization that makes decisions based on insight rather than instinct.
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Practical Implementation Strategies
For marketing leaders looking to implement this insight-driven approach, the path forward requires both technological and cultural changes. First, ensure your data infrastructure supports real-time querying across all systems of record. This doesn't necessarily mean replacing existing tools, but rather ensuring they can communicate effectively and provide timely access to information. -
Second, train your team to think like investigators rather than report generators. Encourage questions that start with "why" rather than "what." Create regular sessions where team members can explore data together, asking successive questions to drill down into root causes. This collaborative approach not only generates better insights but also builds analytical thinking skills across the organization.
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Conclusion
Rizk's perspective challenges the marketing technology industry's obsession with data collection and visualization. By focusing on the fundamental question of "why," marketing teams can transform their analytics from expensive reporting exercises into engines of business insight. The combination of live data capabilities and a culture of continuous questioning creates a powerful competitive advantage - the ability to understand and respond to market changes faster than competitors still waiting for their monthly reports. As marketing budgets face increasing scrutiny, this insight-driven approach offers a clear path to demonstrating value through understanding rather than just measurement. -
- Part 1CMO and Former Meta AI Marketer on AI’s Reality Check
- Part 2The most important learning about data at Meta
- Part 3Quickest way to improve analytics using live data in a campaign
- Part 4 What 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.
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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.
Play Podcast -
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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