AI in digital advertising creates a new governance problem.
If autonomous systems are going to make commercial decisions, someone needs to define the guardrails.
I wrote about this critical issue for AdExchanger.
https://t.co/V6Yyw7IwGO
Most people think the creator economy is about followers.
@MonicaKhan explains why the real story is monetization, platform strategy, audience ownership, and creator leverage.
https://t.co/Vp6cnEKzBG
Most media rate cards don’t just price inventory.
They shape demand.
A bad rate card creates confusion, weak negotiation positioning, and hidden discounting behavior.
Here’s how strong publishers think about rate card strategy.
https://t.co/R94s7Onl8b
Retail Media Networks are booming—but most retailers underestimate how hard they are to build.
I sat down with @KiriMasters to discuss why many RMNs are structurally set up to fail, the common traps, and what separates the real winners
Watch here: https://t.co/mXAtbXjkHj
What is dCPM in digital advertising?
Simple explanation:
• Fixed CPM vs dynamic CPM
• How auctions actually price impressions
• Why platforms use different terms
https://t.co/a7zb5PMy6m
Most companies update their rate cards once a year.
That’s not a strategy—it’s a ritual.
Pricing should follow a “heartbeat”:
→ Too fast = instability
→ Too slow = missed revenue
In this video I outline the right way to approach timing the update
https://t.co/LQ2SndIu3G
Most pricing teams aren’t failing because they’re bad at pricing.
They’re failing because they’re set up to fail.
If you’ve ever felt like your work isn’t landing, it’s probably not a capability problem.
It’s structural.
https://t.co/aqE1xq0y4J
Prices went up.
Every product team improved price realization.
And yet… total revenue fell.
How is that possible?
In this video I explain the Mix Problem — one of the most common (and least understood) yield management dynamics in digital media.
https://t.co/APXUW0gLbi
Just back from RampUp 2026.
Three things stood out about AI in advertising:
• We still don’t have standards
• There’s almost no organized resistance to the disruption that is occurring
• The conversation is far ahead of the implementation
https://t.co/GhIvWJQqUm
Most AI initiatives fail — not because of the model.
Because of the data.
In my conversation with @brianssilver (EVP, @TransUnion ), we unpack:
• Identity resolution
• Data enrichment
• Why AI = garbage in, garbage out
https://t.co/0oj9b7OamI
Most executives assume stronger data controls slow a business down.
In practice, weak data practices create friction — teams hesitate because no one is confident in how data is used.
Devan Brua on why better data governance lets companies move faster
https://t.co/PzyT3GGu5h
Bad ads are often a good signal when analyzing a publisher’s health.
In this week’s video, I walk through 8 observable ad issues you can spot using nothing more than a browser — and what each one reveals about yield and ad ops maturity.
https://t.co/irrSDFV3Kv
Going programmatic” isn’t a switch you flip.
It’s an operating model.
In this video, I break down 3 ways publishers actually run programmatic — and why problems start when the model is accidental.
https://t.co/2X6pfYmQyF
@ClashofClans Many of us still aren’t seeing the new equipment and the event has been live for 3 days. Your automated support doesn’t acknowledge the bug
Retail Media Networks grow in predictable stages:
Launch → Validate → Optimize → Expand → Scale with Data
The mistake is treating all 5 like Stage 1.
Here’s the framework I use with clients
https://t.co/8NVJI4koRH
I started my channel to explain the fundamentals of digital media yield management.
I’ve finally pulled all my Digital Media 101 content into one place — with short written summaries, not just videos.
If you’re new to yield, this is the place to start.
https://t.co/Ea0hiLY9DZ