News and Analysis
In Crowded Space, Brands Rethink Approach to CTV
Research from eMarketer shows that advertisers spent $10.3 billion on connected TV programmatic display ads in 2021, an 82% increase from the year prior. But what they got in return is anyone’s guess. For all the advancements in digital marketing, CTV advertising still remains an opaque space where advertisers know little about the shows or other ads their spots are running against. This can lead to wasted budgets, ad frequency issues, and even fraud.
Commentary
Now More than Ever, Local Strategy Differs by Vertical
The putative benefits of competing in vertically oriented channels come at a greater cost than was the case when GMB provided a unitary platform for all industries. Simply put, Google is serving the specialized needs of price-conscious travelers or those who want greater assurances when hiring a service professional, and in so doing, the company is creating additional channels to generate revenue through ads. More and more businesses will have to get used to spending their way toward greater exposure to their desired audiences — which is only odd in light of the fact that so much of local marketing has historically been organic in nature.
Why Your Location-Based Ad Campaign Isn’t Working (And How to Make It Better)
Many low-accuracy solutions produce horizontal location data only – location in multi-story buildings is not even a possibility. The result is that advertisers are designing campaigns with the equivalent of one hand tied behind their back, generating two-dimensional campaigns for a three-dimensional world.
What advertisers really need is the ability to reach consumers wherever they are, including the floor level in a multi-story mall, and entice them to enter the store. To achieve this, high-accuracy 3D location is needed. Fortunately, new capabilities are in place to help retailers design more effective campaigns, which will drive better results and raise consumers’ expectations to new heights (pun intended!).
The Ghost in the Machine: Google Gamifies Machine Learning
David Mihm to Mike Blumenthal: As for our Halloween topic, a spooky good SEO, Scott Hendison, tweeted a link over the weekend that I found fascinating: https://crowdsource.google.com. Even for those of us who are used to these kinds of initiatives coming from Google, it’s the most brazen public effort we’ve seen to train their machine learning algorithm via user contributions across a whole range of data types.
Mike: It is certainly brazen. There is NO attempt to bury this as an activity within some other program like their Captcha. It’s a gamification of their ML plain and simple, and if I know Google, the reward will be either insignificant or worse: a discount on some “premium product” (i.e., an ad).
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As Brands Look Closer, Is Local News the Tortoise and Facebook the Hare?
“An interesting thing is that Facebook has been a leader for so long [that] it’s become oversaturated on the buy side, and prices are going way up. There’s an opportunity for other vendors who can provide similarly granular audience information to seize some of that market share,” says Kitewheel CEO Mark Smith.
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