Home Ad Exchange News Atlas Case Study; Record Day For Alibaba

Atlas Case Study; Record Day For Alibaba

SHARE:

atlasroundupeditedHere’s today’s AdExchanger.com news round-up… Want it by email? Sign-up here.

Coming Up Roses

Six weeks after bringing it to market, Facebook is crowing about marketer migrations to its rebuilt Atlas ad server. 1-800-Flowers was the first marketer to switch to the new product a year ago, the company notes in a blog post. Read it. Speaking with AdExchanger, the brand’s director of online marketing, Craig Shiffrin, highlighted the platform’s cross-device chops. “One of the key elements we are most excited about is being able to look at the people based measurement outside of the cookie-based tracking solution,” he said.

Bull In A China Shop

Alibaba drew “Singles’ Day” sales of $9.3 billion, easily breaking the record for this romantic 24-hour shopping holiday while showing Alibaba’s immense clout with Chinese shoppers. Alibaba invented the holiday back in 2009, and copyrighted the term “Double 11” three years later to preserve its commercial potential. “You’re seeing the unleashing of the consumption power of the Chinese consumer,” said Joe Tsai, Alibaba Group’s executive vice chairman. ”We really are witnessing history here because we are seeing the shift of the economy from focused on the state sector to consumption.” And think of all that transaction data, owned by one seller. More.

Pre-Keyword Discovery

Pinterest wants to redefine how the industry perceives search, its head of engineering told Business Insider. “Today when we think of retrieving information, we think of search,” Michael Lopp said. “If you don’t have a keyword though, you’re out of luck. If you want to browse, search engines are the wrong tool. We call this the discovery problem. There’s a big opportunity to help people browse and discover ideas and projects before they’re ready for search phase.” Pinterest controls 23% of referral traffic to ecommerce sites. Pinterest: finding things you never knew you needed.

Post-Beacon Tech

Mobile tech company Beintoo has partnered with Gimble on a beacon platform for agencies, retailers and brands. The tech reads like cookies for mobile, dropped into a user’s smartphone after an opt-in and then fed into a DSP. “We have to tap into the programmatic ecosystem that already exists,” Beintoo CEO Antonio Tomarchio told MediaPost. “This is a proximity-based audience. It’s more branding-related and based on more than location.” More.

You’re Hired!

But Wait. There’s More!

Tagged in:

Must Read

VideoAmp Bets On AI To Connect Ad Planning And Measurement

VideoAmp is competing in the measurement space by sharpening its focus on TV audience data, ad performance and, of course, AI. The company is also making strategic hires and promoting from within.

Comic: Header Bidding Rapper (Wrapper!)

Sure, Debates Between Prebid Members Can Get Heated. That’s Why It’s The Programmatic Melting Pot

The Prebid Summit in New York City on Tuesday exceeded the event’s reputation for liveliness.

Has The Ad Industry Lost The Pulse Of American Consumers?

The ad industry has become a community of people who say things like “This is going to sound relatable” and follow it up with a sentence that may as well be Martian to 99% of America.

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

LG And Magnite Launch Agentic Home Screen Ads With A Winning NFL Quarterback

LG home screen inventory is now available through agentic buying, opening up a premium TV placement to faster, more automated campaign setup.

Prebid’s Proposed Auction Overhaul Would Do What The Court Wouldn’t: Separate AdX From GAM

Reorienting the ad auction so that ad servers bid into Prebid lets publishers access demand from Google AdX without also having to use Google’s ad server.

Meet Starling, The Startup That Says It’s More Than Just Another CTV SSP

Starling recently launched as a connected TV SSP and wants to capitalize on the opportunity to address a major pain point facing CTV marketers: the lack of show-level data.