What 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Marketing analytics stacks struggle with outdated, siloed data that delays critical business decisions.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. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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  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.

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  Getting brands authentically integrated into content performs better than TV advertising.

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  Typical lifespan of an article is about 24 to 36 hours.

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  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.

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  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.

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  What will the marketing analytics tech stack look like in five years?

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  I like this question. Remember the movie Minority Report?

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  I do.

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  Remember there was a scene where Tom Cruise is like walking and his eyes are flashing?

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  I can use Minority Report with Vanilla Sky very often.

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  Yeah, so there was this scene where like his eyes are flashing and he's seeing like these hyper personalized ads in holographic form. And I think, I think a lot about that scene because I think AI will enable us to hyper personalize messaging and ads, perhaps in a way that we haven't been able to do before. So our analytics will become so laser, like you can really laser point your marketing and across mediums.

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  If I'm making like grand predictions of what, you know, AI would enable marketing analytics to be like in five years, I think that would be it. It's like, how might I analyze the right moment? Cause we often in marketing contend with, okay, I might have the right message for my ICP, but I'm hitting them in the wrong moments, in the wrong, like they're seeing the message in the morning when they should be seeing it in the evening, or they're seeing it on LinkedIn when they should be seeing it on, I don't know, TikTok, right? And I, I think what AI analytics, marketing analytics is going to be enabled to do with AI in the next five years is just get really, really good at hitting the right message to the right person at the right time and hyper target.

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  I've been married for 11 years. We dated for five years before that, so I haven't really thought about this in a good 16 years, but my dating strategy was always right person, right place, right time. And I think that when it comes to marketing, we're getting more towards being able to understand what that is with our advertising campaigns because of AI. We're seeing the wave of personalization come and then the next flavor of this is going to be, yeah, but when are they going to be receptive to the message as well? So I couldn't agree with you more.

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  Yeah.

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  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 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.

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  Thanks for listening to the MarTech Podcast, an I Hear Everything production. Looking to launch or scale a podcast like this one for your brand? Then visit iHearEverything.com.