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Programmatic advertising means using AI to automate ad buying so you can target more specific audiences. Real-time bidding, for example, is a type of programmatic ad buying. This automation is much more efficient and fast, which means higher conversions and lower customer acquisition costs. It’s changing the face of digital advertising so swiftly that, according to eMarketer, 86.2% of digital display ads in the U.S. will be programmatic by 2020. According to Irina Kovalenko of SmartyAds: “Most search-driven manual advertising campaigns (even those performed with professional tools) take into account three or four targets: the keyword, time of day, and location. Such tools like programmatic demand-side platforms can use hundreds of targeting signals to individualize the advertisement and even target according to lifestyle or behavior habits when integrated with customer data platforms.”
Since Google dominates the results that businesses get from search engine marketing our summary of the search trends here focuses on Google. Carolanne Mangles reported for us back in August on some of the biggest changes Google made in 2018, many of which will be deployed and evolve in 2019. The most obvious change is the launch of the Google Marketing Platform which saw AdWords renamed to Ads and the Doubleclick ad platform and analysis tools like Google Analytics, Data Studio, and AB testing through data studio more tightly integrated. For organic search the update to keep an eye on in 2019 is Google’s Speed Update which penalizes slower sites and was released after months of trials. While this will initially only affect the slowest sites, from past experience, we can expect Google will change the weighting on the algorithm to affect more sites that don’t improve their speed within time.
In 2016, Gartner predicted that 20% of all business content would be “authored by machines” by 2018. While the accuracy of this prediction hasn’t been tested yet, most people are already reading AI-written articles in one fashion or another (whether they realize it or not). AI is particularly good at creating data-heavy news briefs about business and sports, for example. These articles may not have the same panache as human-written ones (yet), but they save news organizations vast amounts of time and money to get the word out. In the future, AI will likely originate much of the content on the internet. But inbound content, which relies on personality and authenticity, is not its strong suit. AI may generate some initial reporting, but it’ll be up to a human to make the content relatable. Managing ads is a full-time job. But with so many new channels to reach customers through, not even a full-time advertising team has enough hours in the day to keep up. That’s why more and more companies are trying to let AI take it over.
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