Media buying automation is in vogue these days. Agencies are dedicating larger and larger portions of budget to what many are calling “on-demand” media. The types of advertising being bought and sold now spans display, video, mobile, and even rich media.
This creates interesting opportunities and challenges for publishers. For those publishers with large amounts of unsold inventory, it’s obvious that this creates a very efficient way for them to sell and move their product. However, the buyers have gotten a taste of the automated Kool-Aid and now they want more. The buyer wants transparency, discrete inventory packages, and only the highest quality inventory.
This demand is causing publishers and aggregators to list and relist inventory in order to extract maximum value and fill from the various exchange platforms and to maximize the connections to buyers.
Interestingly, a new challenge is presenting itself: publisher inventory that is managed by a yield optimizer can get obfuscated and actually trigger an advertiser to appear, inadvertently, alongside inappropriate content. This creates real issues for brands that believe they are buying within an approved set of sites and find that their ad has mysteriously shown up somewhere else.
This is not a new issue per se, but because of the wide array of server connections, redirects, and audience-based targeting, the offending sites and vendors have become harder and harder to track down and deal with.
I am not being an alarmist or suggesting that every campaign is at risk when leveraging programmatically sourced inventory. Quite the contrary. I am asking that people be patient, think carefully about who they choose to partner with, and consider the source before jumping to conclusions. Not every publisher is malicious, and most want what’s best for the client. So let’s join together to work through these issues, put processes in place that keep us improving, and don’t get lost in space.
Space image on home page via Shutterstock.
Advertisers are more concerned than ever about brand safety, and one of the primary ways they're trying to keep their ads from appearing in unfriendly places is through whitelisting. But as more and more brands turn to whitelisting, some are talking about the impact this will have.
We all know that Facebook is a viable source of huge amounts of mobile traffic with relatively cheap CPCs). It’s too good an opportunity to ignore in today’s digital landscape - even if your mobile landing-page experience isn’t up to snuff.
For years, advertisers have tolerated a big elephant in the room: the fact that their digital ads aren't always appearing where they would want them to.
Deep learning tools are the next major area of AI-based research, and it will spark a wave of future innovation in every industry – bringing a new era of marketing which both advertisers and end-users will benefit from.