Artificial intelligence (AI) has been around for a long time, so why are we only just now exploring its applications for PPC?
Columnist Frederick Vallaeys explains the technology, its evolution in recent years, and what's next for AI in paid search.
What exponential growth means for PPC
So, if we’ve reached the point of PPC automation today where humans and computers are about equally good, consider that the pace of technological improvement makes it possible for the machines to leave humans in the dust later this year. That’s why it’s worth thinking about the roles humans will play in the future of PPC.
Build your own PPC intelligence
There are a lot of tools available to automate your PPC work, and multiple third-party vendors are starting to use AI and ML to provide stronger recommendations. But there are also many free tools from AdWords that are getting better every day thanks to advances in AI, like Portfolio Bid Strategies, Custom Intent Audiences, optimized ad rotation, etc.
For those willing to invest in connecting their own business data to AdWords and AI, I’m a big fan of prototyping solutions with AdWords Scripts because they provide a lot of customizability without requiring a lot of engineering resources. Unfortunately, simple scripts you write will fall into the weakest category of AI, where PPC intelligence is achieved through hard-coded rules.
But when you get a bit more advanced in your scripting abilities, you can use Google Cloud Machine Learning Engine to start enhancing your own automations with modern machine learning techniques.
The benefit of an out-of-the box solution like this is that you don’t need to learn many types of different models. But that’s also the downside because you won’t get total control over how you set criteria and thresholds to get results that are usable. Our team at Optmyzr tried several ready-made systems but eventually decided that we needed more power — so we’re building our own AI.