Martech and data strategy promise control, personalization, and scale, but in practice, they often deliver technical debt, fragile systems, and operational chaos. In this episode, Ian Reisman brings a hard-earned perspective from 17 years inside Paramount, where he managed billions of emails across in-house platforms, enterprise tools, and high-stakes moments like March Madness war rooms that stretched well past midnight.

From 3 AM warehouse refreshes to a Salesforce Marketing Cloud migration, this conversation breaks down the build vs. buy dilemma from both sides. Ian explains why no vendor demo survives real data, how DIY martech quietly accumulates risk, and why most organizations underestimate the operational burden of scaling personalization.

The discussion goes deeper into platform trade-offs: why Braze raises the floor but lowers the ceiling, how Adobe CDP failed to scale in practice, and why Salesforce’s most powerful features are often the least marketed. Along the way, Ian calls out the hidden costs of consulting agencies, the compounding impact of layoffs on martech operations, and why AI in marketing is still just predictive intelligence — not magic.

Timestamps

05:20 — Ian's very first Martech platform and early in-house systems

13:40 — The DIY mindset: great in theory, brutal in practice

20:40 — March Madness war rooms and real-world stress testing

24:14 — Braze vs. Salesforce Marketing Cloud: raising the floor, lowering the ceiling

27:07 — Three years of Adobe CDP and nothing to show for it

31:03 — The consulting agency trap and how to keep them on rails

37:47 — Martech fragility and leadership blind spots

41:33 — When institutional knowledge disappears overnight

42:04 — AI in Martech: predictive intelligence, not magic

Sponsor

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