Seventh issue of news from the world of AdTech and PubTech (previous: 6, 5, 4, 3, 2, 1).

This week, 11 articles were translated, not all made it into the digest. Somewhere, Forbes is still ablaze, and the industry is pondering how to track where advertising is spinning. Every week new products appear, all with AI features, contextual targeting (sometimes in Chinese), a lot of cookieless, and some even fight to reduce the carbon footprint of advertising. Here's a tiny slice of the huge pie of news from the past week. Content is sorted from most read to least read.

The Impact of User Experience on Monetization

What metrics affect monetization? What to look at to improve indicators? Where to draw ideas? An article for publishers who are just starting their journey in the exciting world of AdTech.

Boost Your Ad Revenue with Magnite's Control Center

Magnite has released a new product that allows connecting monetization partners without any code manipulation. Like an AppStore for publisher monetization. The platform is not limited to, say, a banner; it includes various technologies, for instance, Blockthrough — works with ad blockers, PubX focuses on dynamic floor management, and Browsi optimizes ad placement using AI.

Publishers Expand Social Networks in an Attempt to Attract More Traffic

Social networks give less and less traffic to publishers. Where are colleagues in the US going to attract a new audience? What are Western publishers looking for in social media audiences (if not traffic)?

Record Employment in the US Advertising Industry: +900 Jobs in March

March marked a record increase in employment in the advertising and PR sector in the US, reaching a new high of 520,900 jobs. Despite the ongoing layoffs in the IT industry, it seems that AdTech feels quite confident.

How Mumsnet Attracts New Advertisers Using First-Party Data

The experience of the British site "for mums" Mumsnet in enriching knowledge about its audience. The article does not reveal key indicators, but it's aimed at the future, especially in a cookieless world.

Publishers vs. AdTech: The Battle for Transparency

The ongoing conflict between publishers and verifiers shows a lack of willingness among all participants in the advertising market to fight against the lack of transparency and gray schemes. It seems that as long as many benefit from here, advertisers will pay for these "extra" impressions.

Alternatives to Cookies: New Approaches to Ad Targeting

Publishers are looking for new methods to transmit data about their audience to advertising platforms (again, this cookieless). Technologies such as Publisher-Provided Signals and Universal IDs allow for privacy and accurate ad display.

Eyeo and AI: Students Rethink Ad Filtering

Students are drawn to testing AI ad blockers. Without a doubt, the future of blockers is in AI. Where to invest money to avoid getting blacklisted?

Media Optimization with Stable ID: BKS Case

The Russian market is enthusiastically watching the ongoing changes. Everyone is developing their solutions, launching new products, optimizing everything possible. One such case is examined in the article.

How Data Changes the Game: Secrets of Effective Partnership

This guide from Lotame highlights the importance of transmitting audience data from the publisher to advertising platforms in a cookieless world. Nothing new, just another article about how this is really important and will have to be done in 2024 if you are a publisher and don't want to lose out on CPM.

How Christian Dior Turned Virtual Try-On Into a Luxurious Experience

I always follow the news from Teads. After all, it's one of the companies that consistently does something new with Outstream and has been doing it for a very long time. In this advertising campaign, Christian Dior made virtual dressing rooms to strengthen the brand's image. Augmented reality and all that.

Automotive Programmatic Advertising in the Cookieless Era: What Awaits the Industry?

There's a lot of talk now about how publishers should pay attention to working with first-party data. But on the other hand, "pipes" should be ready to work with this data. What to watch out for?