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🧠 Retail Media’s Not-So-Quiet Coup: PMG, DoorDash, and the Algorithmic Arms Race

Soooo…Retail media just went from hot to scorched-earth, and if you blinked this week, you probably missed half the mergers and all the metaphors. PMG kicked off the frenzy by scarfing down Momentum Commerce like it was the last éclair at a VC offsite—along with 45 new staffers and a platform called Velocity that tracks more products than a QVC binge. Then there’s DoorDash, who decided that waffles deserve war rooms and shelled out $175 million for Symbiosys so your Eggo can win a Google keyword deathmatch. Meanwhile, Dentsu grabbed MiQ’s AI system and shoved it right into the middle of their media operation—because who needs humans when you’ve got a Sigma-fed brain that speaks fluent Claude and ChatGPT?

Elsewhere, The Trade Desk embedded itself into Snowflake like a clingy ex with access to your shopping data—making real-time SKU-level optimizations the new bare minimum. Pinterest made a bold move, poaching an Amazon ad-tech vet to finally drag their platform into programmatic adulthood (no glue sticks required). And WPP? Well, their CEO did a soft exit while clients quietly checked the emergency exits, hoping the next act involves fewer decks and more decisions. Together, it’s not just a shake-up—it’s a full-blown industry spin cycle, and the only safe bet is that next week someone else will call themselves the “operating system of modern commerce.”

🔥 It’s hot on La Croisette — but not as hot as Gavin Dunaway in a bikini serving gelato like it’s his side hustle between IAB panels. During CANNES

🚨 PMG Buys Momentum Commerce, Adds 45 Brains and a Juggernaut Named “Velocity”

📊 The Grab:
PMG’s not playing footsie with retail media anymore — they just bought the whole damn leg. Momentum Commerce is now officially part of the family, bringing $500M in managed spend and a data platform that makes Excel look like a toy abacus.

🛠️ What’s in the Bag:

  • Momentum tracks 37 million products and 880,000 brands with “Velocity,” a platform that sounds like it was designed by a caffeinated NASA engineer.

  • They're integrating this directly into PMG's Alli OS, which is like Google Analytics if it also made your coffee and booked your Q4 ad slots.

📍 Big Picture Move:
This isn’t just another tuck-in. PMG is gunning to be the operating system for modern commerce, not just a media agency. And this acquisition? It turns that PowerPoint promise into something that actually prints dollars.

🔥 Bottom Line:
Retail media isn’t just a revenue stream anymore — it’s the whole dam. PMG just bought a bigger floodgate.

🚨 Dentsu + MiQ = A Match Made in Algorithmic Anxiety

🧠 Brain Meld:
Dentsu is cozying up to MiQ, pushing their Sigma AI platform to the strategic core of their media machine. Because nothing says innovation like feeding 700 trillion signals into a system and hoping your campaign doesn’t come out as a cat video.

🤖 Tech Flex:
Sigma talks to ChatGPT, Claude, and Gemini — which means it can hallucinate media strategies in three dialects of hype. It sifts through more data than a government surveillance program and claims it can pick the perfect impression for your perfect audience.

📉 Why It Matters:
This isn’t just about plugging in a new tool. It’s Dentsu admitting that the funnel is dead and every customer journey looks like a Jackson Pollock painting made out of TikTok, doomscrolls, and panic buys.

🔥 Final Word:
If the “algorithmic era” is here, Dentsu wants to be the bouncer at the door. But let’s hope Sigma doesn’t confuse your shampoo brand with adult diapers again.

🚨 The Trade Desk Embeds Into Snowflake — And Now Your DSP Knows You Like High-Pulp OJ

💽 Data Drop:
TTD's new Snowflake-native Connector App makes retail conversion data live, SKU-level, and non-engineer friendly. Translation: even your sales guy who still prints emails can run advanced analytics.

🍊 Use Case of Doom:
No more “orange juice” averages — now it’s high pulp, low sugar, mom-bought-on-Tuesday level targeting. And it's all streamed directly into campaigns without moving the data.

🔄 Why You Care:
Because this isn’t onboarding anymore — this is feedback in real time. You’re not just lighting money on fire and hoping it worked. Now you know exactly which carton caught flame.

🔥 Bottom Line:
If you’re not optimizing ad spend at the SKU level by Q3, you're just cosplaying as a performance marketer.

🚨 DoorDash Buys Symbiosys — Now Even Your Frozen Waffles Come with a Bidding War

🍽️ Deal Served Hot:
DoorDash just spent $175M to acquire Symbiosys, a search ad startup that knows how to game Google for groceries. You want to win the frozen waffle keyword? You’re gonna have to share it with Kroger.

📦 How It Works:
It’s called “collaborative bidding.” Sounds friendly, but it’s basically Hunger Games for ad dollars. Brands and retailers pool cash to fight over the same keywords because Google loves whoever has the biggest cart.

🤝 Why It’s Smart:
DoorDash gets to turn search intent into full carts, and retailers get to retarget while Eggo just wants to not get iced out of their own brand.

🔥 Final Scoop:
DoorDash just weaponized your grocery list. And honestly? It’s about time someone made retail media interesting again.

🚨 WPP Clients: We Might Leave. Then Again, Maybe We Wait for the Plot Twist.

🕳️ The Exit That Shook the Decks:
Mark Read’s polite shuffle off WPP’s main stage was supposed to be “just succession.” But for some big clients, it cracked open a question they’ve been quietly asking for months: what is WPP still doing for us?

🎢 Client Vibes:
Some are ready to bail. Others see hope. One CMO is basically sitting on a suitcase but waiting to see if the new CEO walks in with purpose or another PowerPoint deck.

🧩 What’s Really at Stake:
This is a trust test. WPP has been slow, siloed, and bleeding brands. Now’s the moment to finally prove they can move like a modern firm and not a cable company with agency logos.

🔥 Mic Drop:
Read brought order. Now WPP needs someone who brings fire. Because clients aren’t waiting around for Act II — they’ve got options, and patience is not in the brief.

🚨 Pinterest Hires Amazon Vet to Build a Programmatic Engine — Can It Finally Scale the Wall?

🧲 New Hire, New Game:
Chip Jessopp, Amazon's ad tech whisperer, just joined Pinterest to make programmatic a real thing there. Not a bolt-on. Not a side hustle. A channel.

🛠️ The To-Do List:

  • Build demand pipelines

  • Hire a killer team

  • Make Pinterest’s SMB-friendly vibe work with Magnite-level automation

🎯 The Promise:
Programmatic should open doors to more advertisers. But done wrong, it’s just another Rube Goldberg machine that sprays impressions like confetti.

🔥 Final Pin:
Pinterest has always been about inspiration boards. Now it’s about revenue dashboards. And Jessopp’s job? Make those two finally stick together without glue-gunning the user experience to death.

When Your Media Strategy Has More CPUs Than CMOs

🚨 Dentsu + MiQ: Welcome to the Age of Algorithmic Overlords (and Adult Diapers)

Let’s get one thing straight: this isn’t just a press release with AI lipstick on. This is Dentsu going full “black mirror” by handing the keys to its global media strategy over to a robot brain trained on 15 years of programmatic chaos—and somehow expecting it to make art.

Yes, art. That’s the pitch.

🎛️ The Setup: Dentsu Marries MiQ, Sigma Is the Officiant

In what might be the most aggressively jargon-laden announcement since the invention of the term “omnichannel,” Dentsu is officially shacking up with MiQ. They’ve named MiQ their Intelligence Partner (which sounds like a dystopian Tinder match), and they’re rolling out MiQ’s shiny new AI toy—Sigma—to sit at the center of their media operations like a benevolent algorithmic god.

Sigma isn’t just parsing spreadsheets. It’s inhaling 300+ data feeds, digesting 700 trillion consumer signals, and allegedly understanding your browsing habits better than your therapist.

Oh, and it’s powered by ChatGPT, Gemini, and Claude, because if you’re going to automate your marketing soul, why not do it in three languages?

🧠 AI That Thinks, Trades, and Maybe Dreams in CPM

Sigma doesn’t just analyze data. It acts. It’s a trading agent with the power to deploy, optimize, and pivot entire campaigns across SSPs and DSPs faster than your CMO can say, “Let’s circle back.”

And it speaks human. Not “upload CSV to Google Ads” human—real human. Ask it a question in plain English like “Why is my campaign failing on TikTok?” and it might tell you the truth: probably because TikTok is a dopamine slot machine for 14-year-olds and you’re selling life insurance.

🎨 The Funnel Is Dead. Long Live the Chaos.

Dentsu’s throwing the funnel out the window and replacing it with what can only be described as a digital Jackson Pollock painting—except instead of paint, it’s TikToks, targeted display ads, influencer collabs, and someone rage-buying bath bombs at 2am after doomscrolling.

The journey isn’t linear. It’s not even coherent. And Dentsu’s betting Sigma can make sense of that.

📈 The Numbers, Because This Is Capitalism

MiQ claims that early Sigma deployments yielded:

  • +132% in conversion rates

  • -57% in CPA

Is that good? Yes. Is that replicable? We’ll see. Because as every marketer knows, it’s easy to make performance look good on the slide deck before the CFO asks, “But where’s the brand lift?”

🤖 The Real Play: Owning the Algorithmic Interface

Let’s call it what it is: Dentsu is positioning itself as the algorithm whisperer. In a world where everyone is drowning in data, they’re offering to be the lifeguard—with Sigma as the floaty.

The scary part? This might actually work.

But here’s where it gets messy…

💣 The Risks: When AI Gets Too Smart (or Just Really Dumb)

Let’s not pretend this is all shiny dashboards and killer CPAs. Embedding an LLM-powered AI into your global media stack comes with a few side effects—like:

🤷‍♀️ 1. The Loss of the Human Touch

Sigma can optimize your bids, but can it write a slogan that doesn’t sound like a toothpaste ad? Unlikely. The more we automate, the more we risk turning all brand messaging into beige-flavored oatmeal.

🧻 2. Brand Misalignment

Even with its 700 trillion data points, Sigma might still confuse a luxury skincare brand with adult diapers. Don’t laugh—it’s happened.

🪞 3. Data Bias

Garbage in, garbage out. If Sigma’s data sets are flawed, biased, or stale, it will make campaign decisions with the confidence of a drunk best man giving a wedding toast.

👁️ 4. Ethics and Surveillance Theater

Yes, it’s all “performance marketing” until consumers realize their buying journey was puppeteered by an AI with their entire digital footprint. Cue the Senate hearings.

🔁 5. Ad Fatigue and Over-Targeting

AI doesn’t know when to stop. It’ll chase you down the digital street with the same banner until you click out of fear or spite.

🤯 6. Overdependence and the Death of Strategy

If your media team can’t make a move without asking Sigma first, you’re not running a marketing department—you’re running a prompt lab.

🛠️ 7. Integration Hell

For every promise of “plug and play,” there’s a six-month onboarding call and someone crying into their Salesforce login.

📉 Summary Table of Possible Catastrophes

Risk

Impact

Human Touch

Generic ads, no soul

Misalignment

Brand damage, lawsuits

Bad Data

Wasted spend, skewed targeting

Ethics

Trust loss, regulators on your lawn

Fatigue

Angry consumers, low performance

Overdependence

Creative death spiral

Costs

Burnout, budget bloat

🧩 The Big Question

Is this the future of media buying—agencies as high priests of algorithmic divination, whispering to GPT-powered gods?

Or are we about to learn the hard way that no amount of AI horsepower can compensate for a lack of human guts, taste, and timing?

Because sometimes… the algorithm can’t tell if you’re trying to sell shampoo or help someone pee themselves less.

Stay Bold. Stay Curious. Know More Than You Did Yesterday.

And maybe, just maybe, double-check what Sigma is running on your brand’s TikTok feed. You never know.

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