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View profile for Scott Brinker, graphic

VP Platform Ecosystem at HubSpot and Editor at chiefmartec.com

The new data layer in martech has taken hold as the foundation upon which marketing AI will be built. 71% of savvy martech and marketing ops pros in our State of Martech 2024 report say they have already integrated a data warehouse/data lake with their martech stack. 61% of them have more than half of their martech apps integrated with it. This architecture breaks us out of the hell of a hundred siloed app databases that has been the greatest pain point of heterogeneous tech stacks for the past decade. All of the data across marketing — and other relevant departments, such as product, sales, and customer service — is aggregated into the warehouse/lakehouse, where it becomes accessible to any app within your stack. The apps that are going to have the most fun with this? The new generation of AI co-pilots and agents that are swiftly emerging. Full article: https://lnkd.in/e6Fnx5Vu #martech

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Mark Stouse

CEO, ProofAnalytics.ai | First Global B2B CMO to Prove Marketing's Multiplier Effect | Lectures at USC | Forbes | Martech Columnist | MASB | ANA | GTM50 | Samsung, Honeywell, SFDC

2mo

The challenge of course is that this is a process and integration improvement, not an answer. There’s zero about this that inherently answers the business question about what’s working, what’s not working, time lag, external headwinds and tailwinds, etc. This is why the trend is greater involvement by Finance.

Peter Bregman

I help B2B companies connect with their customers at scale

2mo

This is hugely important! The (now-somewhat-outdated) concept of a CDP was attempting to address this before the unified data layer approach was really possible. With the dynamic composability of MarTech (inclusive of RevTech), building a tool-agnostic architecture is the only real way forward. Having account, contact, prospect, and transaction data all in one place with the ability to mine, update, and leverage that data for things like realtime personalization, custom workflows, and dynamic segmentation is going to be the big unlock in the next few years. AI or no AI, the companies that get their data layer right are going to have the competitive advantage.

Jonathan Mendez

Discovering your best segments & audiences with AI.

2mo

Not a "will be" for us. We have built this...and it rocks. This is the way.

Sergei Veinberg

Marketing effectiveness measurement across channels & along customer journey

2mo

In their blissful world they have integrated everything into a data lake, the data flows beautifully and seamlessly between applications and users. Down on earth, data users still pull disparate reports and collate them in spreadsheets. Or worse, manually punch in numbers from dashboards into the spreadsheets. And if they want it automated, they are welcome to provide detailed spec, submit a job request and wait for 6 months... or forever. The only non-tech person aware of the remarkable achievements of the data team is the CFO who pays the bills, but doesn't know why.

Rutger Katz

Acquire and expand customers quicker, cheaper, and for longer | Coaches B2B scale-ups scale more efficiently and effectively through proven frameworks | Organizing the MarTech World Forum London 2024

2mo

I just hope it isn't used for creating hundreds of dashboards nobody looks at or takes action on 😅

Daniel K.

Digital Strategy, AI & Technology at McKinsey & Company | INSEAD MBA | Director | CDO | CMO

2mo

I've seen so many companies doing manual integration from DL/DW towards their martech stack. And the divide between IT and Marketing is usually the cause of this. IT does not move quickly enough for Marketing, Marketing buys SaaS platform by itself but all backend devs/Data engineers are in IT.....

John Elmer

HubSpot Consulting | Migrations | Implementations | AI Applications | Accredited Elite HubSpot Solutions Partner | Datawarehouse.io Apps and Integrations for HubSpot | Power BI & Tableau integrated reporting & analytics

2mo

James Elmer and Datawarehouse.io already there…

Olivier Gil

Global VP Digital Business @Exclusive Networks | Driving Digital Transformation & Profitable Growth | International B2B Executive Leader | Expert in AI & Data Strategy | Advocate of Customer-Centric Innovation

2mo

Very helpful! Thanks for sharing Scott Brinker

Alex Brownstein

Strategic Advisor for Media, Ad Tech, MarTech businesses & Investors | Ex-McKinsey | Wharton MBA | AI & Data Solutions

1mo

The integration of a data warehouse/data lake with martech stack is a game-changer for the marketing industry. It not only breaks down silos but also provides a centralized location for all marketing data, making it accessible to any app within the stack. This will enable the new generation of AI co-pilots and agents to analyze and utilize data more efficiently, resulting in better marketing strategies and outcomes. It's exciting to see how the new data layer in martech is paving the way for the future of marketing.

Paul Deraval

Co-Founder & CEO at NinjaCat

2mo

Couldn't agree more! Would love to show you the unified marketing model and AI Assistants we were able to build on top. The results are scary good. We are also coupling this with 2-way capabilities to be able to automate 100s of marketing tasks. Let me know if interested in a demo.

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