Home Publishers AdMeld And Peer39 Announce Semantic Data Partnership

AdMeld And Peer39 Announce Semantic Data Partnership

SHARE:

Peer39 and AdMeldPeer39 and AdMeld announced an agreement which will allow AdMeld to “analyze every optimized impression against Peer39’s proprietary semantic data sets” to the benefit of AdMeld publishers and demand partners (ad networks, exchanges and DSPs) according to a release.  Read it.

Peer39 President and Founder Amiad Solomon discussed the implications of the deal.

AdExchanger.com: It appears a sell-side aggregator is offering a data feed – Peer39 semantic data – to the demand-side as well as publishers. Can a DSP or ad network use Peer39 independently of the publisher to understand page content, or does it need to start from the publisher’s ad server for some reason?

AS: Yes, DSPs and ad networks can utilize Peer39 semantic data independently of the publisher’s ad server using Peer39’s server to server integration API.

Please provide a use case of how this will ideally work for a premium publisher. And, how is this reported out?

As the AdMeld platform optimizes impressions, it pings Peer39’s servers to analyze each URL in real time (we process thousands of URLs in less than a second.) By enabling demand partners to target campaigns against these semantic channels, AdMeld lifts the value of every impression for both sides of the transaction. Publishers get higher CPMs, and buyers get superior targeting (and results).

The second major benefit for publishers is that all this semantic intelligence is available to them in AdMeld’s interface. In addition to seeing the size of each channel in terms of uniques and impressions, publishers know rates being paid for those channels, how those rates differ from buyer to buyer, and how they have trended over time. This enables publishers to get a clearer picture of what their inventory looks like and which channels represent the greatest untapped revenue potential. Having this kind of data at hand is absolutely critical for publishers to achieve greater leverage in the marketplace.

How is Peer39 generating revenue through or from AdMeld in the deal?

In the last 18 months, yield optimization platforms have focused on audience optimization with targeting data, yet few have focused on content-based yield optimization. Peer39, with our Semantic Targeting technology, enable yield optimization platforms to also optimize the content / sell-side of the equation by matching ads with content according to context and sentiment on the fly. And with the growing trend towards everything real-time, we can also analyze 1000s of URLs in less than a second. Therefore, we’re creating increased revenue streams for publishers by boosting the value of their remnant inventory.

By John Ebbert

Must Read

AdExchanger Senior Editors Anthony Vargas and Alyssa Boyle.

POSSIBLE 2026: AdExchanger's Hot Takes

AdExchanger Senior Editors Alyssa Boyle and Anthony Vargas share their takeaways from three days chatting about agentic AI at POSSIBLE.

Reddit Reports A 75% Boost In Q1 Ad Revenue As It Reaches For 100 Million Daily US Users

Generative AI search has pushed traffic off a cliff across most of the internet, but not on social platforms. Reddit included.

POSSIBLE 2026: Can AI Help Agencies Finally Break Down Those Silos?

Domenic Venuto, indie agency Horizon Media’s chief product and data officer, sat down with AdExchanger during POSSIBLE at the Fontainebleau in Miami to unpack the role of AI in today’s media and advertising landscape.

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

Google Touts Its AI Ad Tech Adoption And New AI Max Features

Google announced new features and ad types for AI Max, its AI-based bidding product for search and shopping or sponsored product ads. The company also touted “hundreds of thousands” of advertisers using AI Max.

Hand pressing blue AI button on keyboard. Digital collage of artificial intelligence interface.

Meta’s Ad Machine Is Purring, So Why Did Its Stock Drop?

Meta’s Q1 call sounded like an AI and hardware pitch, but under the hood it was still about one thing: investing in AI to squeeze more money out of its ads business.

Alphabet Exceeds $100 Billion In Q1 And Its Profits Almost Doubled

Alphabet earned $109.9 billion in Q1 this year, up from $90.2 billion a year ago. And that’s not even the truly gobsmacking number.