AdExplainer

Over the past two years, data clean rooms have exploded onto the programmatic advertising scene, and they’re already at the center of some of the most exciting new partnerships and growth opportunities. But despite their rapid adoption, the definition of what a data clean room is – and all of the related nuance – is not well understood.

One of the most popular technical solutions to streamline campaign flights on connected TV is server-side ad insertion (SSAI). SSAI is technology that stitches together ads within a video stream before the stream loads on a user’s device. Most of the demand is coming from the explosive growth of CTV, but it can be used in any connected or over-the-top (OTT) video environments, including social.

Video games can support intrinsic or native in-game ads, as well as ads that are delivered alongside gameplay but exist outside the game itself, like pause-menu display ads and rewarded video. Marketers can also sponsor and advertise on channels related to gaming, such as at esports events and across online streaming platforms, particularly Twitch and YouTube. And we can’t forget about the metaverse.

Although advanced, addressable and convergent TV might sound like synonyms, they are distinct concepts. Think of advanced TV as the umbrella term for anything that is not traditional, over-the-air broadcast TV, with specific techniques including addressable and convergent TV, data-driven linear and OTT. To make the most of TV’s advancements (get it?), it’s important to understand the nuances.

Although Apple held off on dropping any ad tech industry-shaking privacy news at its Worldwide Developers Conference last week, it did publish documentation about the next version of SKAdNetwork – we’re up to 4.0 now – which includes a handful of new features that developers and mobile measurement providers have been asking for.

You’ve probably heard (dozens of times) by now that first-party data will be the key to post-third-party-cookie ad targeting. But what exactly is first-party data? How does it differ from second-party, third-party and zero-party data? And what makes first-party data more suited to a privacy-centric ad experience?

The word “cookieless” crops up in virtually every conversation about the future of online identity. But what exactly do people mean when they say “cookieless”? Although the definition seems simple enough – the absence of cookies – it lacks the nuance to encompass the true complexity of signal loss. It’s also a misnomer.

AVOD is the same thing as FAST … right? Not so fast. Despite dozens of streamers, programmers and publishers crowding the space, AVOD and FAST are the only two ways to watch ad-supported TV beyond the set-top box, and the core difference between them comes down to content distribution.

Retail media is the hottest thing in online advertising and one of the most important categories for the future of programmatic growth. And the most important thing about retail media 2.0, a catchall for retailers using first-party data to target and monetize their audiences, is that the real value doesn’t come from the inventory or even who’s making the buy. It’s all about the data.

The complexity and lack of transparency in the programmatic ad buying ecosystem makes it hard to understand who you’re buying from and how big of a bite they’re taking out of a buyer’s ad spend. Hence the need for supply path optimization (SPO). Simply put, SPO is about buyers identifying the most efficient connections and using them to transact with sellers. The goal is to stop buying through inefficient or expensive paths to supply.