AdTech News Round-up
The Federal Trade Commission has opened an investigation into whether Microsoft has violated antitrust law in multiple segments of its wide-ranging business, according to two people familiar with the inquiry, the latest salvo in a battle by the government to rein in the most powerful tech companies.
The agency recently sent a long and detailed formal request for information to the company asking about its cloud computing, artificial intelligence and cybersecurity products, the people said. Of particular interest to the F.T.C. is the way that Microsoft bundles its cloud computing offerings with office and security products, they added, alongside the company’s growing power in the artificial intelligence space.
As Netflix dives further into games, the company is using Roblox to get its original properties in front of more eyes.
Netflix’s “Nextworld” Roblox experience — a virtual world filled with characters, settings and mini-games from Netflix shows and films such as “Stranger Things,” “One Piece” and “Rebel Moon” — launched in May. Since then, the streaming platform has gradually populated the space with an increasing number of assets from its original properties. (A Netflix representative declined to comment on this story.)
I’m the creative and user experience director for a marketing agency that works with hundreds of CPG and ecommerce brands. I love using AI in my day-to-day job.
Before you start wondering about the likelihood of a creative guy embracing AI, know this: It’s not for producing the actual work. Rather, I use it as a research tool that frees up time for me and my team to spend on original copy and visuals that elicit engagement.
In this article (which, by the way, was not a product of ChatGPT), I’ll spell out my favorite use cases for AI, add a bit about my favorite AI tools (and the ones I won’t trust yet) and throw in best practices for refining the output.
With AI platforms like Perplexity adding new ways to shop with generative AI, there’s a growing need for AI to justify its recommendations — just like reviews from publishers and content creators.
This week, Perplexity became the latest AI search platform to debut new shopping assistant tools to help people search and buy products. The platform, “Buy With Pro,” offers product recommendations based on text-based chats along with a “Snap To Shop” visual search similar to Google Lens. Meanwhile, a new program for merchants offers an increased chance of being featured in recommendations, payment integrations, free API access to build Perplexity search into retail websites, a dashboard with search and shopping trends.
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Ad tech giant The Trade Desk today announced it is launching its own CTV operating system (OS) called ‘Ventura’, confirming rumours which surfaced this summer. Starting next year, the OS will be deployed by smart TV original equipment manufacturers (OEMs), as well as streaming TV aggregators.
The Trade Desk said Ventura will help solve key issues with current OS in the market, including “frustrating user experiences, inefficient advertising supply chains, and content conflicts-of-interest.”
Judging by ratings, Netflix’s first live broadcast of a boxing event headlined by influencer Jake Paul’s bout with boxing legend Mike Tyson was a success.
Data released over the weekend by Netflix said that 60 million households watched the Paul vs Tyson fight, while 50 million households tuned in for the co-main event of Serrano vs Taylor 2. Using a standard co-viewing multiplier of 1.2 (which could well be low given that live sports events are more likely to attract bigger crowds watching together through watch parties), total viewing would have sat at around 72 million individuals, more than half of this year’s Super Bowl’s US viewership.
The Federal Trade Commission published a blog post last week warning companies that using a data clean room isn’t some kind of get-out-of-compliance-free card.
And the first paragraph is a doozy.
“Don’t judge a book by its cover – how a technology is named doesn’t tell you how it is used. This is the case with Data Clean Rooms (“DCRs”), which are not rooms, do not clean data, and have complicated implications for user privacy, despite their squeaky-clean name.”
Well then.
Data clean rooms have become widely adopted in the online advertising industry over the past three to four years as an ostensibly privacy-friendly solution for combining and analyzing first-party data.
Very much agree on the creative part. AI is a tool to help save you tons of time. Imagine you could run and optimize your ads with AI doing all the work?