Pod Insights MarTech Podcast ™ // Marketing + Technology = Business Growth The most important learning about data at Meta About this episode 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. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Transcript 0:00 Speaker 00 The Martech Podcast is a proud member of the I Hear Everything Podcast Network. Looking to launch or scale your podcast? I Hear Everything delivers podcast production, growth and monetization solutions that transform your words into profit. Ready to give your brand a voice? Then visit iHereEverything.com.
0:25 Speaker 01 From advertising to software as a service to data, across all of our programs and clients, we've seen a 55 to 65% open rate.
0:36 Speaker 02 Getting brands authentically integrated into content performs better than TV advertising.
0:42 Speaker 03 Typical life span of an article is about 24 to 36 hours.
0:46 Speaker 01 If we're reaching out to the right person with the right message and a clear call to action, then it's just a matter of timing.
0:53 Speaker 00 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 use technology to drive business results and achieve career success. Here's the host of the Martech Podcast, Benjamin Shapiro.
1:15 Speaker 04 All right, now 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?
1:26 Speaker 05 Let's do it.
1:28 Speaker 04 What was the most important learning about data that you gleaned from working at Meta?
1:33 Speaker 05 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, when you're onboarding, they say you move fast. It was always our mantra. 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
2:18 Speaker 05 as close to the work and the signal. And as a result, Meta was one of the most data-driven companies that I've probably ever worked for. And I think I just gave you 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
2:58 Speaker 05 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.
3:10 Speaker 04 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 it's 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.
3:39 Speaker 05 Correct. And very much driven by incrementality. Sometimes we would take decisions, you know, and we know that it's going to move the needle, but 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.
4:03 Speaker 04 And that wraps up this episode of the Martech Podcast. A huge thanks to Noah Rizik, the CMO of Incorta for joining us. If you'd like to contact Noah, 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 Incorta, you can visit their website, which is incorta.com, I-N-C-O-R-T-A.com. If you haven't subscribed yet and you want a daily stream of marketing and technology knowledge in your podcast 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.
5:09 Speaker 00 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.
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