In twelve weeks, Hope led a full messaging stack rebuild with just three people. They cut 200 legacy campaigns down to what mattered, partnered with MoEngage for execution, and shifted messaging into the product org. Now, SoundCloud ships notifications like features that are part of a core product. Governance is clean, data runs through BigQuery, and audiences sync everywhere. The migration was wild and fast, but incredibly meticulous and the ultimate gain was making the whole system make sense again.More
Tag Archives: reverse ETL
168: AI’s talent crunch: Marketing jobs on the brink and those set to thrive
At risk are campaign operators, generic content creators, and report-pulling analysts. Set to thrive are resident AI implementation experts who select worthy tools, data orchestrators connecting proprietary data to AI, product/customer marketers with genuine empathy, ethics guardians preventing bias issues, and localization specialists understanding cultural nuances.More
152: Sarah Krasnik Bedell: A data eng turned marketer on embedded marketing analysts and batch vs webhook pipelines
What happens when a data engineer with an obsession for truth-testing crashes into marketing’s ‘best practices’? Sarah’s journey from code to growth unfolds like a trained detective story, where she picks apart marketing myths and rebuilds them with an engineer’s first principles. Her fresh take on centralyzed vs decentralyzed data team structures favors embedding an analyst deeply in marketing and growth teams.More
151: Austin Hay: An operator’s guide to AI agents, composability, building in concert and self-designing APIs
Something extraordinary is brewing in the world of martech. In the near future, Austin thinks AI agents will turn into an omniscient digital butler, anticipating your needs with uncanny precision while vanishing into the background of your workday. But the real revolution unfolds in the seemingly mundane machinery of marketing operations, where innovative companies are transforming their spaghetti mess of data pipes and platforms into something approaching digital poetry. More
143: Danny Lambert: A guide to data transformation and building a warehouse-first martech stack
Marketers often feel like they’re battling a dragon when it comes to integrating data. We’re overwhelmed by technical jargon, stuck with outdated methods, and facing roadblocks from data teams. Danny walks us through his journey of cautiously entering the data world and the role dbt can play for marketing teams. Here’s how to get started with a warehouse-first martech stack.More
121: Anthony Lamot: Why we’re all exhausted by marketing emails and what to do about it
From early stage founder advice and keeping up with the galaxy of martech tools to email fatigue and AI’s convergence with neuroscience, this episode journeys through deep marketing space. We take a pit stop in email marketing land discussing true personalization and if we’re really ready to give the wheel to AI (spoiler, we’re not).More
95: Battle of the CDPs: Packaged vs. Composable, 10 Experts Weigh In
The debate between packaged and composable CDPs boils down to a trade-off between out-of-the-box functionality and tailored flexibility, with industry opinions divided on what offers greater long-term value. Key factors to consider are company needs and data team size. But if you do decide to explore the composable route, consider tools that focus on seamless integration and adaptability rather than those who claim to replace existing CDPs.More
91: David Chan: How dual-zone approach and journey orchestration are reshaping CDPs
Expect to reevaluate the roles of older platforms in your martech stack as CDPs get smarter. And if your organization’s data strategy resembles more of a herding cats scenario than a well-oiled machine, maybe it’s time to look into that dual-zone approach. It’s a way to make sure everyone from your IT folks to your marketing creatives are playing from the same strategic playbook.More
89: The viability of warehouse-native martech: Insights from 10 industry experts
We navigate the potential transformation to warehouse-native martech and questions like: Is zero data copy really achievable? Can compute charges be solved with higher quality queries? Does warehouse native martech replace the need for reverse ETL pipelines?
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88: Tamara Gruzbarg: A hybrid approach to CDPs, white box predictive modeling and AI as a human in the loop system
A rich exploration of the future of AI in marketing and the evolving landscape of CDPs, offering actionable insights that stress the need for human ingenuity and flexibility in today’s market.More