Chapter 4. Manual Versus Automation
If you are still manually optimizing campaigns the same way it was done half a decade ago, you may be a quickly disappearing breed in the user acquisition space.
Let’s remember that machine learning is a type of artificial intelligence developed around allowing computer system to progressively improve performance on a task by “learning” through statistical approaches. Put another way, machine learning is the development of algorithms that allow for more and more accurate prediction with incremental collection of data. That is why Facebook, Google, and all the major media platforms are perfectly ripe for automation—the bigger your paid customer acquisition budget, the more data you can deliver into these machines to enable them to train and learn faster to help you hit your desired success goals.
The key question to ask is: why are you looking to automate something? Let’s remember that the two biggest challenges for startups are hiring people and acquiring new customers. The best way to tackle these challenges is to figure out how to run a Lean growth team without compromising on driving results.
Intelligent Machine Thinking in the World of Digital Marketing
Digital marketing has revolutionized advertising in the last three decades. From its humble beginnings in the early 1990s—fueled by hypertext, open source web servers, and crude browsers—digital media has grown into one of the top investment channels for marketers globally. The first commercial ...
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