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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.
We’ve been banging the ‘Actionable Analytics’ drum for nearly 10 years now since we believe in the power of data-driven marketing based on digital analytics and customer research. It’s why we’re called Smart Insights! Systems such as Google Analytics and Adobe Analytics are relatively static in terms of reports and functionality. For me, the main trend here is using softer measures to get customer feedback. For example, I’ve been taking a look at some really interesting case studies from Vision Critical (Disclosure: A Content Marketing Partner of Smart Insights) which show how savvy brands are using customer communities to feed back. Another trend here is the adoption of dashboard reporting and analysis systems. At Smart Insights, we have adopted Google’s Data Studio (since it came out of Beta) for our monthly and weekly trading reports alongside the Google Sheets Add-In for the Google Analytics API, which we use for pulling the data through for our RACE digital marketing dashboard.
Influencer marketing is a type of word-of-mouth marketing that focuses on using key leaders to amplify your brand message to a larger market. Influencers can be well-known celebrities, but more often they are Instagram or YouTube personalities with a huge niche following who can help spread the word about your business or product through their social channels. Because influencer marketing is generally more authentic than corporate advertising: 63% of consumers trust influencers’ opinions of products much more than what brands say about themselves, 58% of people have bought a new product in the past six months because of an influencer’s recommendation. For this reason, Iceland, a popular British supermarket chain, switched from ads with celebrities to a campaign that features real-life moms. Teaming up with YouTube community Channel Mum, it now works with a number of vloggers to promote its products in a more “authentic” fashion. And research shows that 35% of moms trust online videos like the one below more than traditional ads: Influencer marketing is not just a trend: A mediakix study predicts that the ad spend for influencer marketing could reach $10 billion by next year: Influencer marketing is also going to be affected by artificial intelligence. With each year, AI is making the process of finding the right influencers to partner with easier and faster. It’s helping identify those with better engagement, fewer fake followers, and a higher chance of generating a positive return on investment (ROI). In addition, artificial intelligence is transforming influencer marketing in the following ways: Image recognition with ANN (Artificial Neural Networks), Determining influencer performance with NLP (Natural Language Processing), predicting incentives with ANN.
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