The most important learning about data at Meta

Summary

Podcast Summary: MarTech Podcast™

Episode: The Most Important Learning About Data at Meta

Release Date: November 4, 2025
Host: Benjamin Shapiro
Guest: Noha Rizzic, CMO of Encore

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Episode Overview

This episode of the MarTech Podcast dives deep into what it means to be truly data-driven at scale—specifically at Meta (formerly Facebook). Guest Noha Rizzic, who spent significant time at Meta before becoming CMO at Encore, highlights her most critical personal learning about data culture at one of the world’s data powerhouses. The conversation covers topics such as the velocity of decision-making, the pivotal role of data in product iteration, and the outsized impact of incremental change when operating at global scale.

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Key Discussion Points & Insights

Meta’s Approach to Data and Speed

• Flattened Decision-Making Enhances Agility (01:33–02:30)

  • At Meta, speed is of the essence; reducing bureaucratic processes is key.
  • Decisions are made “as close to the work and the signal” as possible, minimizing hierarchy.
  • Data empowers teams to operate independently and swiftly by mitigating the need for layers of oversight.

• Culture of Moving Fast

  • “When I worked at Meta on your onboarding, they say you move fast. It was always our mantra.” (Noha Rizzic, 01:41)
  • The mantra underpins all operations and is only achievable by relying heavily on robust data infrastructure.

Impact of Scale and Data Fidelity

• At Meta’s scale (serving ~3.5 billion consumers), even minor changes can affect hundreds of millions of users:
  • “It’s kind of laughable. It’s like, oh, you know, we did this and it impacted 100 million people. And you’re like, what? These numbers are staggering.” (Noha Rizzic, 02:46)
• The fidelity and granularity of data are crucial; small tweaks and fine-tuning, based on concrete analytics, drive real impact.

Incrementality as a Core Product Principle

• Incrementality Defines Success (03:10–03:50)

  • Meta is characterized by an obsession with incremental improvements.
  • “What’s the micro uptick you can create in a product feature because the base is so large that every little incremental change means a great amount of actual benefit.” (Benjamin Shapiro, 03:12)
  • Teams consistently ask: "Is this decision truly moving the needle, or would the needle move without this specific effort?"

• Incremental gains are scrutinized deeply to ensure they’re real and not due to underlying trends or noise.

Real-World Lessons from Meta

• Data is not only about gathering information but about empowering faster and more confident decision-making at all levels.
• The combination of data fidelity, flattened decision-making, and constant pursuit of incrementality drives outsized business results—especially in massive-scale environments.

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Memorable Quotes

• On Meta's approach to speed and data:

  “Data helps you move faster. Bureaucratic processes that slow down a company typically start to come into shape because you’re trying to mitigate bad decisions.”
  — Noha Rizzic, 01:34

• On the impact of scale:

  “It’s kind of laughable. It’s like, oh, you know, we did this and it impacted 100 million people. And you’re like, what? These numbers are staggering, right?”
  — Noha Rizzic, 02:46

• On product optimization at Meta:

  “Meta, notorious for move fast and break things. ...It’s like, what’s the micro uptick you can create in a product feature because the base is so large that every little incremental change means a great amount of actual benefit.”
  — Benjamin Shapiro, 03:13

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Important Timestamps

• [01:15] — Introduction to the Lightning Round and focus on live data and AI
• [01:33] — Noha Rizzic shares her most important learning about data at Meta
• [02:46] — Discussion on the staggering scale of Meta’s impact and the necessity for high-fidelity data
• [03:11] — Incrementality and product improvement at scale
• [03:39] — Emphasis on measuring whether changes are truly responsible for positive movement

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Tone & Language

The episode is brisk and insight-loaded, reflecting both Noha’s actionable mindset and Benjamin’s drive for practical business value. Throughout, there’s a clear sense of awe at the scale of Meta’s influence and a deep respect for disciplined, data-driven processes.

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Final Takeaway

Meta’s most important data lesson: data enables speed by empowering decentralized, accountable decisions—and when you’re operating at global scale, even incremental improvements have world-shaping consequences. Every marketer, regardless of company size, can learn from Meta’s example of using data not just to inform, but to unleash faster execution and more impactful product innovation.

Transcript

[A]

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[B]

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[A]

Welcome to the Martech Podcast, a member of the I Hear Everything Podcast network. In this podcast, you'll hear the stories of world class marketers that used technology to drive business results and achieve career success. Here's a host of the Martech Podcast, Benjamin Shapiro.

[B]

All right, no, I want to move on to our lightning round where I'm going to ask you a couple of Martech related questions related to live data, your experience, AI. So are you ready for the lightning round?

[C]

Let's do it.

[B]

What was the most important learning about data that you gleaned from working at Meta?

[C]

In a nutshell, data helps you move faster. Bureaucratic processes that slow down a company typically start to come into shape because you're trying to mitigate bad decisions. And we obviously make decisions all the time from how I sit up to what email I send to whom and where to deploy resources. And I think when I worked at Meta on your onboarding, they say you move fast. It was always our mantra. Um, and Meta really did care about moving fast. And in order to enable teams to do that, it had to remove the layers that are typically required to be in place for decisions to be made to mitigate that risk. Which meant you were flattening decision making as much as humanly possible, that decisions are made as close to the work and the signal. And, and as a result, Meta was one of the most data driven companies that I probably ever worked worked for. And I think I just gave you the an example of how we would unleash digging into data to just get creative ideation on how to improve the work, how to improve our products. And obviously because Meta operates at scale, we're talking three and a half billion consumers all over the world. You know, every tweak and fine tune that you do in the product impacts, it's kind of laughable. It's like, oh, you know, we did this and it impacted 100 million people. And you're like, what? These numbers are staggering. Right? And so the fidelity of the data and how fine tuned that data created huge impact for millions of people around the world.

[B]

Meta, notorious for move fast and break things. Maybe they've gone away from that moniker now. One of the things that I've heard about the company is its own also very much driven by incrementality. And it's like, what's the micro uptick you can create in a product feature because the base is so large that every little incremental change means a great amount of actual benefit.

[C]

Correct. And very much driven by incrementality. Sometimes we would take decisions and we know that it's going to move the needle, but is it, is it really moving the needle or in an incremental manner, or is the needle going to move anyway, even if we don't go down that route? And that was always a question that we would ask ourselves in product reviews. So what I learned from Meta is data helps you move faster.

[B]

And that wraps up this episode of the Martech Podcast. A huge thanks to Noah Rizzic, the CMO of Encore, for joining us. If you'd like to contact Noha, you can find a link to her LinkedIn profile in our show notes or visit martechpod.com. if you'd like to learn more about Encorea, you can visit their website, which is incorda.com, i n C-O-R-T a dot com. If you haven't subscribed yet and you want a daily stream of marketing and technology knowledge in your podcast feed, hit the subscribe button in your podcast app. Or, of course, Visit us on YouTube, where we'll be back in your feed every week. All right, that's it for today, but until next time, my advice is to just focus on keeping your customers happy.

[A]

Thanks for listening to the Martech podcast and I hear everything. Production. Looking to launch or scale a podcast like this one for your brand? Then visit iheareverything. Com.