Why Data Clean Rooms Are the Future of CPG and Media Collaboration
What do data clean rooms really do—and why should every CPG leader care?
In this episode of Applied Intelligence, I sit down with Puneet Gangrade—one of the leading voices in privacy-enhancing tech and data clean room adoption.
We unpack how clean rooms are transforming everything from retail media to supply chain visibility, and why every brand, publisher, and platform needs a long-term clean room strategy.
Puneet also breaks down:
How clean rooms evolved from pharma to ad tech
The hidden role of cryptography and trust engineering
Non-media use cases (QSR, loyalty, inventory, finance, CPG)
Why the real challenge isn’t tech—it’s politics, intent, and trust
What it takes to scale clean rooms (hint: org design and full-time owners)
The future intersection of AI + privacy—and what to watch out for
This is a must-watch if you care about data-driven growth, privacy, and cross-party collaboration.
Timestamps:
00:00 – The Hidden Revolution Behind Data Clean Rooms
02:10 – What Clean Rooms Really Do (And Why Everyone’s Confused)
06:20 – Privacy Meets Personalization: The Cryptography Shift
10:30 – How Amazon Quietly Opened the Clean Room Floodgates
15:00 – The Wildest Use Cases: From QSRs to Airlines
24:50 – Building Trust Without Sharing Data
31:00 – The Question That Determines Every Clean Room’s Value
35:00 – The Politics No One Talks About in Data Collaboration
40:00 – Turning a Pilot Into a Scalable Clean Room Engine
46:00 – Why Clean Rooms Are Replacing CDPs
52:00 – The One Skill Every Modern Marketer Needs
56:00 – How Reallocating Spend Drove 10% Extra Revenue
1:02:00 – Why Every Cloud Platform Is Rushing to Build Its Own
1:08:00 – The Tension Between AI and Privacy That Keeps Puneet Up
1:16:00 – The Rule That Defines the Future of Data Collaboration
🎙️ Guest: Puneet Gangrade (https://www.linkedin.com/in/puneetgangrade/) , LiveRamp (https://www.linkedin.com/company/liveramp/)
My Social (https://linktr.ee/imteaz)
Watch the Full episode here (https://youtu.be/T5cO14kUoZo).
29 Sept 2025
CPG Media’s AI Tipping Point: Strategy, Automation, and the Next 12 Months
I break down where retail media is headed—and why AI agents, owned ad accounts, and centralized data are now non-negotiables for CPG brands.
14 Jul 2025
Why Most AI Strategies Fail—and What Execs Must Do Differently
Most execs operate on “vibe knowledge.” Here’s how to lead AI transformation with clarity and speed.
What do executive decision-making, eCommerce innovation, and AI implementation all have in common? They’re often guided by gut feel—rather than data. In this episode of Applied Intelligence, Chris Perry (https://www.linkedin.com/in/chrisaperry/) (Chief Learning Officer, firstmovr) and Oskar Kaszubski (https://www.linkedin.com/in/oskarkaszubski/) (Chief Growth Officer, firstmovr) pull back the curtain on what’s really holding companies back from meaningful change.
We go deep on:
The difference between core knowledge vs. vibe knowledge
Why retailers need to stop treating AI like it’s magic
The “Fourth Mover” strategy that may actually be smarter than being first
What makes AI operationally useful instead of just shiny
How retail media is breaking org structures—and what to do about it
Why incremental KPIs are killing transformation
What we can all learn from eCommerce’s last 15 years (aka the “training ground”)
Whether you’re a CPG exec, AI optimist, or digital transformation skeptic, this conversation is a must-listen.
Timestamps
00:00 – Intro
03:12 – Retail media is an operating model, not a channel
12:00 – Want change? Change what you measure
17:18 – Vibe knowledge vs. core knowledge in the C-suite
26:05 – The AI treadmill is speeding up
33:00 – Why AI didn’t fail—you did
53:51 – We don’t have 15 years to figure this out
1:16:24 – The last 15 years was just training
🎙️ Guests: Chris Perry (https://www.linkedin.com/in/chrisaperry/) & Oskar Kaszubski, (https://www.linkedin.com/in/oskarkaszubski/) firstmovr (https://firstmovr.com/)
My Social (https://linktr.ee/imteaz)
Watch the Full episode here (https://youtu.be/wPkj9zOZqo4).
Reach and audience
Public platform figures. Ratings count people who left a rating, not total listeners.
YouTube views
125,788
Score snapshot 15 Sept 2025
Apple Podcasts (US)
5.0 / 5
4 ratings
Spotify
5.0 / 5
2 ratings
Podcast Authority Score: 41 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
Quality
35
Social presence
0
YouTube
82
Engagement
32
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