Home Platforms Q4: Meta Minted Money And Improved Its Monetization

Q4: Meta Minted Money And Improved Its Monetization

SHARE:
Meta AI

Slap on your Ray-Ban smart glasses, ask Meta AI to remind you to post on Threads and then hop into Horizon Worlds.

Welcome to the near future, according to Meta.

“It’s kind of hard for me to imagine that a decade or more from now, all glasses aren’t going to basically be AI glasses,” Meta CEO Mark Zuckerberg told investors during the company’s Q4 and full-year 2024 earnings call on Wednesday.

“I expect Threads to continue on its trajectory to become a leading discussion platform and eventually reach a billion people over the next several years,” Zuckerberg continued, adding that 2025 will “be a pivotal year for the metaverse” as more people use Quest and Horizon.

To accomplish all that, Meta plans to spend massively on AI infrastructure over the long term to the tune of hundreds of billions of dollars. And Meta is equally clear that this investment will also bear fruit for its main revenue driver: advertising.

A galaxy of efficiency

Advertising generated $46.8 billion of Meta’s total Q4 revenue, which was $48.4 billion, up 21% year-over-year. Meta’s stock jumped by more than 13% in after-hours trading.

Within the ad revenue bucket, the ecommerce vertical was the largest contributor to YOY growth, and the total number of ad impressions served across Meta’s services increased 6%. The average price per ad was up 14%, driven by an uptick in demand and improved ad performance.

One of the main ways Meta is boosting monetization is by growing its ad supply across lower-monetizing surfaces, such as video, as well as newer surfaces, like Threads, said CFO Susan Li. It’s also making improvements to ad optimization and personalization.

For example, Meta considers where in the depth of someone’s feed to introduce an ad so that “it’s most optimal for the user and revenue,” Li said.

Don’t hold your breath, though, if you’re waiting for Threads to make a meaningful contribution to either total ad impressions or revenue in 2025. Last week, Meta announced a limited test of ads on Threads, but it’s planning to take it slow, Li said.

In the meantime, Meta is improving overall monetization efficiency by enhancing its ads rankings systems.

In the second half of last year, Meta introduced a machine learning system in partnership with Nvidia called Andromeda, which, according to Li, has led to a 10,000x increase in the complexity of the models that Meta uses for ads retrieval.

To put that in practical terms, Andromeda is able to narrow down the number of potential ad candidates from tens of millions to a few thousand, which positions Meta well for the future “as advertisers use our generative AI tools to create and test more ads,” Li said.

More than 4 million advertisers now use at least one of Meta’s generative AI ad creative tools, up from 1 million six months ago.

The black box advantage

Speaking of AI-powered advertising tools, adoption of Advantage+ Shopping Campaigns – Meta’s answer to Google’s Performance Max – is also scaling up.

According to Li, Advantage+ has surpassed a $20 billion annual run rate, growing 70% YOY in Q4.

And Advantage+ revenue will no doubt continue to climb, since Meta is testing what Li called “a new streamlined campaign creation flow so advertisers no longer need to choose between running a manual or Advantage+ sales or app campaign.”

In other words, in this new setup, Advantage+ will be turned on by default for any campaign optimizing for sales, app or lead objectives. Meta plans to expand this to more advertisers “in the coming months,” Li said, before rolling it out fully later in the year.

“This will allow more advertisers to take advantage of the performance Advantage+ offers while still having the ability to further customize aspects of their campaigns when they need to,” she said.

Or, more cynically, the black box gets blacker.

Must Read

TV Manufacturer Telly Touts Programmatic Home Screen Ads

Telly, the startup that gives away free smart TVs in exchange for data and ad exposure, is making its home screen ads available for brands to buy programmatically – and pushing for industry standards to help attract more spend. 

AI Is Helping L’Oréal Brainstorm Unique Ways To Reach Male Audiences

L’Oréal adopted creative AI platform Springboards to generate creative ideas that led to a collaborative, ongoing ideation process.

AdExchanger's Big Story podcast with journalistic insights on advertising, marketing and ad tech

Google Had Its Day In Court. Now, It’s Amazon’s Turn

Google won’t have to break up its ads business after being declared an online monopolist. Meanwhile, Amazon faces a lawsuit from the FTC alleging that it charged advertisers more than necessary for ecommerce ads.

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

The FTC’s Amazon Lawsuit Is Ad Tech’s History Of Opacity Repeating Itself

Buy-side experts said it’s another example of a Big Tech platform taking advantage of the lack of transparency built into programmatic ad auctions. And they’re not optimistic change is coming.

How The Fin Tech Clearco Finances Ecommerce Startups (Without Losing Its Shirt)

This week, the Commerce Media Newsletter catches up with a startup from outside the world of data-driven advertising, but with an interesting position when it comes to ecommerce advertising. That’s Clearco, a Canadian fin tech company founded in 2015.

LOS ANGELES, CALIFORNIA - APRIL 26: Halo Collar CMO Seth Solomons attends a Celebration to Shine a Light On Dog Safety With Halo Collar on April 26, 2022 in Los Angeles, California. (Photo by Stefanie Keenan/Getty Images for Halo Collar)

How Halo Collar Uses Data And Incrementality To Raise Both Awareness And Sales

Halo Collar, a dog collar brand with direct-to-consumer origins, is preparing for its retail expansion by honing its first-party data strategy and incrementality measurement.