In the martech landscape, navigating success is like being a skilled dinosaur hunter. Marketers must blend practical data skills and a deep understanding of AI tools, much like a hunter using knowledge and tools to track and understand their prey. Attribution serves as a guide through the wilderness, where balancing tried-and-true methods with new territories is key.More
Tag Archives: analytics
94: Ryan Gunn: HubSpot Cheat Codes, AI Features, Attribution and Documentation
Gaining practical skills from HubSpot’s developer portal is critical—certifications alone won’t cut it. If keeping up with martech changes overwhelms your in-house team, specialized consultancies offer a reservoir of constantly updated expertise. Sound documentation serves as the bedrock of your internal processes, setting you up for long-term success.More
93: Tara Robertson: Cost-Effective Growth and Creative Attention in B2B
Use personal biases to create targeted campaigns and ignore buzzwords and rigid MQL definitions. Tara’s strategy—act on active interest immediately—cuts through the noise and boosts efficiency. Whether it’s career or marketing, it’s all about authentic, effective action.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
90: Lucie De Antoni: Startup alchemy, mixing data literacy and attribution with empathy and collaboration
Lucie emphasizes that attribution needs planning, but don’t let martech make you forget empathy and emotional intelligence. It’s a no-nonsense take on making martech work for you, focusing on strategy over tactics.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
87: Michael Katz: The Evolution of packaged CDPs, democratizing ML and the myths of composable and zero data copy
Michael warns against hype in the Packaged vs Composable CDP debate, emphasizing data integrity and the pitfalls of marketing illusions. Through strategic focus, mParticle aims for intelligent automation and genuine value creation in the complex martech landscape.More
86: Deanna Ballew: Embracing open source composable martech, AI literacy and qualitative insights
Deanna demystifies martech jargon, highlighting DAM for digital asset management and DXP for personalized user experiences. She weighs packaged vs. composable solutions, underlining the role of company-specific dynamics. Emphasizing innovation, she points to AI and customer feedback as key guides. Deanna underscores AI’s potential to elevate marketers, and champions qualitative data for a richer marketing narrative.More
84: Tejas Manohar: The past, present, and future of Composable CDPs
The future of CDPs, as envisioned by Tejas, is a more flexible, adaptable data architecture that Hightouch is actively shaping. Hightouch, even without the data collection component, is recognized by some of the largest companies in the world as their go-to CDP.More