Many proceeded to boycott YouTube and parent Google/Alphabet, paving the way for analysts to downgrade the stock. At the same time, industry executives used every
medium conceivable to slam the digital ad giant.
The irony — all this could have been avoided if these brands and their agencies used a third-party brand safety solution.
Why Brand Safety is Critical
In digital advertising’s infancy, brand safety was not the big industry issue it is today. If you were buying Conde Nast, CNN or Sky in the U.K., you were buying credibility of content and a safe environment. Outside of airlines asking to embargo advertising immediately following a crash, you knew what you were buying.
In a programmatic world, that’s not the case.
Algorithms and audience targeting take the site curation out of the buyers’ hands. You can blacklist sites, but unless you know those sites in advance, you run the risk of running ads on a page that may feature hate, nudity, or violence.
This has led to the development of pre-bid tools, developed primarily for desktop over the last five years, which prevent bids
from occurring based on content classification – some at the page level and some at the domain level.
Fragmentation Makes it Hard
Just as soon as the pre-bid brand safety providers tackled desktop traffic, two new features emerged: video and mobile. For video inventory, you can see what’s outside the player, but fly blind within the player. In the case of the YouTube Hate-Gate over the weekend, the brands wouldn’t have been able to protect themselves if the page didn’t offer a description or meta data about the content.
Brands and agencies are upset because most pages did offer this data, yet pages weren’t crawled for sensitive content. In the case of mobile, it’s trickier as in-app content cannot be indexed. But what brand safety providers have done is provide a crawl of the iOS and Google Play stores to highlight the categories, quality, reviews — and to confirm the app is certified.
It’s a layer
of protection in an unprotected world.
Sentiment Makes it Harder
When you begin to look at context and classification of content, you can start with keywords, although contextual classification that includes natural language processing is more effective. But one area of risk is around sentiment.
If an article about a cruise line comes up, is it a glowing review or a scathing account of food poisoning? If there is content about Donald Trump, is it
favorable or a tough opinion piece? Knowing the state of mind of your audience is important when nurturing your brand.
Control vs. Censorship
Using the last example, “fake news” has joined the lexicon of every language around the world over the last year. Many people feel that alt-right sites like Breitbart, which has become the poster child for fake news, caused Brexit and the election of Donald Trump.
However, there is a distinction between fake news and content that doesn’t align with your view — whether you are a brand or an individual. In this case, there are tools that provide control to prevent bidding on audiences who are reading things that do not align with your brand identity.
If you are a brand or an agency and want to avoid being embarrassed or worse, fired, make sure you have adequate protections in place around programmatic. There are many pre-bid tools at your disposal, and they can be activated within your DSP of choice (except Google).