Each year, Google holds Google Partners Masterclasses to help bring agencies up to speed on:
This year’s Brisbane event was held in October and I was fortunate enough to attend.
The 2017 masterclass focused quite heavily on Artificial Intelligence (AI) and the benefits it can lead to via automation. In this article, I’ve covered 3 of the key takeaways that stood out.
Google spoke about AI being in its ‘teenage years’ (i.e. not fully mature yet, but much more developed than its early days).
AI is smart enough now that we should be using it for automation. Ideally, this would reduce the number of manual tasks we have to do (like bid adjustments and ad split testing) and give us more time to work on strategy.
In other words: We should get AI to ‘paint by numbers’ while we humans focus on understanding which colours we need to paint.
If you need another reason to justify automation, consider the consumer journey. It’s more complicated than ever, because:
And even though consumers are making themselves tricky to keep track of, they still expect tailored ads (i.e. ads that are timely, fit for their device, appropriate to their location, relevant to their interests, and a good match for their current intent). That’s a LOT of info for a human to manage; imagine trying to juggle all these factors for every single person who could potentially view your ads!
So yes, maybe leaving this work to AI isn’t a bad idea after all. Especially since it can:
According to Google, AI is coming ahead in leaps and bounds. This is particularly evident in Google Attribution, which will be available in the paid version* of Analytics 360 in early 2018.
*We’re expecting this to appear in the free version of Analytics at some later point.
This will have a significant impact on how accurately and efficiently we can track, measure and optimise campaigns. Anything that makes this easier to do is great news too, because the phenomenon of fragmented data is working against us. Consumers have myriad channels, devices, platforms and content to select from, and this makes it increasingly tricky for us as advertisers to track them. So it’s exciting that AI is evolving quickly enough to help us overcome this hurdle.
Data fragmentation: When 30% of customer journeys involve multiple channels, tracking them and serving the best ads isn’t so simple. But AI can and will help with this.
An important stat to keep in mind: 15% of searches are unique. That is, out of every 20 Google enquiries, 3 of those enquiries have never been searched before.
What does this mean? Dynamic Search Ads (DSAs) are still important today. Or, as Google says, they’re old but gold.
Oh, and they deliver:
*For a typical advertiser, when compared to regular keyword performance.
DSAs help you answer enquiries that you couldn’t have predicted, while also saving saving time and improving performance. What’s not to like?
There are literally millions of possible variations to consider when serving ads to people, based on factors including:
Why wouldn’t you take advantage of AI in every way possible to optimise your results and efficiency?
For our clients, AI means we can get better data and improve attribution, allowing us to automate and optimise (e.g. we can deliver even better optimisation recommendations). This also means we can spend less time on the nitty gritty manual work and focus on the bigger picture for our clients. Or, in other words, #WINNING.
All this, and AI hasn’t even fully matured yet. Exciting times ahead.