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Burn the Map: Are You Even Using Your Data? Drew Phillips on the Realities of Content & Chaos

Burn The Map

Release Date: 09/11/2025

Burn the Map: Are You Even Using Your Data? Drew Phillips on the Realities of Content & Chaos show art Burn the Map: Are You Even Using Your Data? Drew Phillips on the Realities of Content & Chaos

Burn The Map

“Don’t tell me about your fancy martech stack if you can’t tell me where your own customer data lives. Spoiler: if your dashboards are a mess, your personalization is, too.” —Drew Phillips In This Episode: We talk to Drew Phillips—part globe-trotting data wrangler, part content whisperer—about what actually moves the needle in enterprise content, data integration, and personalization (hint: it’s not a magic vendor pitch or an AI buzzword bingo). Drew reveals the truth behind making content less painful for brands that have more SKUs than most people have socks—and how chaos...

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More Episodes

“Don’t tell me about your fancy martech stack if you can’t tell me where your own customer data lives. Spoiler: if your dashboards are a mess, your personalization is, too.” —Drew Phillips


In This Episode:
We talk to Drew Phillips—part globe-trotting data wrangler, part content whisperer—about what actually moves the needle in enterprise content, data integration, and personalization (hint: it’s not a magic vendor pitch or an AI buzzword bingo). Drew reveals the truth behind making content less painful for brands that have more SKUs than most people have socks—and how chaos in digital marketing is just an average Tuesday for him.


What We Cover:

  • Why “unified customer profiles” are the table stakes (and why so many big brands still trip over that step).

  • The war stories behind data-driven content at mega-brands and scrappy startups (meth cases in Needles, CA included—no, seriously).

  • How Contentstack, the so-hip-it-hurts headless CMS, is eating the old guard’s lunch by plugging real data into personalized content at scale.

  • The myth of the “magic quadrant” and what actually gets you recognized by Gartner and Forrester (spoiler: blood, sweat, scars, and probably a few choice curse words).

  • Real talk about content supply chains in highly regulated industries, the AI hype cycle, and why “composable” isn’t just another buzzword—it’s survival.


Guest Bio:
Drew Phillips has done the digital dirty work from law firms to McDonald's, from UFC hardware jewelry startups to top enterprise software firms. Now at Contentstack, he’s slinging headless CMS and making waves in data-driven personalization for brands like Air France, KLM, and Mattel. Equal parts design nerd and data geek (with just enough family lawyers to make anyone nervous), Drew’s mission is to turn content chaos into streamlined, scalable customer experiences. If you want to find Drew, try LinkedIn (when he’s not dodging BDR spam): Drew John Phillips.

Enjoy the episode. This show is brought to you by Wrench.ai.


Follow Dan:
LinkedIn: https://www.linkedin.com/in/danbaird/
X: https://x.com/mrdanbaird

 

Follow Drew:

LinkedIn: https://www.linkedin.com/in/drewjohnphillips/

Follow the Pod:
YouTube: https://www.youtube.com/@burnthemappodcast
Twitter/X: https://x.com/BurnTheMapPod
Instagram: https://www.instagram.com/burnthemappodcast/
TikTok: https://www.tiktok.com/@burnthemappodcast
BlueSky: https://bsky.app/profile/burnthemappodcast.bsky.social


Selected Links From This Episode:


People and Organizations Mentioned in this Episode:

  • Drew Phillips

  • Dan Baird

  • Content Stack

  • Adobe

  • Ford

  • (Unnamed, slightly infamous entertainment firm)

  • UFC

  • McDonald’s


Show Notes & Timestamps:

  • 00:04 — Drew’s accidental escape from lawyerdom & first website confessions

  • 05:30 — The Vegas startup that sold surgical steel jewelry (and why data > gut feeling)

  • 11:45 — McDonald’s app: global vision, actual execution, and why your data’s not as “clean” as you think

  • 22:30 — Grocer case study: personalizing content at scale without making your creatives quit

  • 35:21 — Change management: why moving a mountain is easier than getting legal, tech, and business leaders to agree

  • 43:10 — The right (and wrong) types of problems for AI, and why simple is still sexy