Home AdExchanger Talks Not All Automated Ad Products Are Alike

Not All Automated Ad Products Are Alike

SHARE:
Nii Ahene, chief strategy officer, Tinuiti

Google’s Performance Max and Meta’s Advantage+ often get tossed into the same bucket.

But there are several important differences between these machine-learning-powered ad-buying tools, says Nii Ahene, chief strategy officer at performance marketing agency Tinuiti, speaking on this episode of AdExchanger Talks. (It’s our final show of 2023, if you can believe it!)

One key difference is how marketers feel about the tools.

When Apple announced its AppTrackingTransparency (ATT) framework in 2020, it was clear that Facebook (this is back when Facebook was still called Facebook) had to rebuild large parts of its advertising platform to deal with signal loss.

ATT essentially severed Facebook’s ability to understand what was happening beyond its own walls. And the brands that relied on it for targeting and campaign measurement were rooting for a fix.

“That was a broken system,” Ahene says. “Facebook needed to figure something else out, and Advantage+ has been a partial savior for clients … and wholly embraced by our clients.”

The challenge with Google’s Performance Max, he says, is that it aggregates multiple types of inventory within one auction, which makes it useful for smaller, less sophisticated advertisers, but aggravating for big brands that want more transparency.

It’s also very challenging to get access via Performance Max to certain desirable inventory types, like YouTube Shorts, outside of alpha or beta programs, Ahene says. (Not to mention that it can also be very challenging to avoid access to certain undesirable inventory types through PMax, as was evidenced by the recent report from Adalytics about Google’s Search Partner Network.)

“It’s causing a lot of consternation and frustration for larger advertisers,” Ahene says. “On Facebook, you still have that level of control … but that’s not the case with the Google properties, and that’s definitely been a point of friction for a lot of our clients.”

Also in this episode: The shiny object that is retail media (and will we ever get retail media network standards?), creative as a performance lever, what will happen to CPMs once third-party cookies are truly no longer available and Ahene’s personal mission to visit every NBA arena in the US.

Must Read

Comic: Causal Meets Casual

Jones Road Beauty Is Using A New Type Of MMM To Reset Its Media Measurement

Inside how Jones Road Beauty is trying to turn messy, conflicting measurement signals into a single testing roadmap for its media mix.

Comic: America's Mext Top AI Model

AI Is Moving Fast. The Law, Not So Much

IAPP’s Global Summit in DC was a reminder that AI is moving fast – and judges, privacy lawyers and practitioner are racing to keep up.

CIMM Is Out To Prove That All Media Isn’t Equal

An upcoming paper from CIMM doesn’t just demonstrate that differences in media quality can be measured. It also argues that tying media value to short-term outcomes has perpetuated longstanding industry challenges.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

TikTok On Why Brands Can’t Buy Its New Ad Formats Programmatically

Not unlike last year, the mood during TikTok’s NewFronts presentation last week felt like cautious optimism, if not outright relief.

Meta’s NewFronts Message To Advertisers: Embrace The Noise

Can a good sales presentation offset the impact of a very bad news week? That’s a question for Meta, which collected two guilty verdicts in court this week for failing to protect children and creating additive products.

AI Helps Manscaped Trim Social Chatter Down To The Bare Essentials

Meet Clamor, a new social listening product that pulls cultural insights from online conversations in real time. Clamor helped Manscaped freshen up its marketing, including for this year’s Super Bowl.