Today I thought, in the wake of the FTC changes, it was probably prudent to warn you that all of my marketing education products may cause cancer.
You see, it’s entirely possible you’ll be so giddy with relief when you realize how much time, money, and effort you’ve been wasting chasing the wrong keywords, monitoring the wrong competitors, and trying to market the wrong message to your audience, that in the thrill of the moment you’ll momentarily forget yourself and return to smoking.
Or, when you learn how to work WITH Google instead of continually fighting their Quality Score algorithms, you might be so incredibly happy that you’ll jump up and hit your head on the ceiling, give yourself a concussion, and forget to take your anti-oxidants the rest of the year, thus allowing the free radicals in your body to do their damage.
There, now you’ve been warned. Use my products at your own risk.
Dr. G 🙂
PS – The price on the hyper-responsive club is going up again on January 1st, or after I get 173 more active members whichever comes first. I’m very loyal to old members however, and I NEVER raise their price once they’ve joined. So you can lock in yours today. click here
I think most people don’t realize that the AdWords algorithms aren’t static formulas frozen in code, but more like evolving organisms in their own Darwinian environment, evolving over time as the algorithms themselves observe their own success or failure.
Please permit me a quick “Geekgasm” diversion to help you understand the mechanics behind all this (or more accurately, our perception of the mechanics) and how it affects your Adwords management efforts:
- There are really two major branches of predictive mathematics
- The first is more statistical and normative, and seeks to model data on specific and identifiable variables and factors. When it’s successful, it not only is able to predict what happens, but it’s able to EXPLAIN the prediction in plain English. We know not only what is likely to happen, but why it’s likely to occur.
- The other model is called neural networking, and seeks to emulate how the human brain learns via a network of associations, strengthened or weakened according to trial and error learning. When this model succeeds, it’s often not able to explain WHY it can predict the data (just like we can’t always explain our favorite recipes beyond “a pinch of this and a pinch of that”), but it’s usually a lot more powerful in it’s predictive accuracy. (Just like your grandmother’s apple pie tastes so much better than anyone else trying to follow a strict recipe)
- We’re pretty sure Google’s relying at least partially on neural networks and trial and error learning to model their broad match technology. (I know I would if I had literally trillions of searches and click results to use as trial and error data points)
OK, “Geekgasm” over.
The implication of all this is that the algorithm “learns” over time, and evolves in it’s maturity in much the same way a human being benefits from years of experience. We can’t say exactly how a 30 year old is different than a 20 year old, but we DO know they’re much more mature and are likely to trust them with much more unsupervised responsibility.
What this means for you as the algorithm matures is more opportunity to avail yourself of it’s power, with less risk, and less time and energy required to manage it.
Rob Sieracki ( Director of the PPC department at RocketClicks.com) wrote a blog post this week on the Ebb and Flow of Google’s Broad Match Algorithm. It’s definitely worth your attention!
All my best,
PS – I might be beating a dead horse, but the whole point of my (still free for the moment) Broad Match Magic technique is to leverage the algorithm successfully and hit the soft underbelly of hyper-competitive markets like weight loss, credit repair, etc. And to be most effective with it, you should walk through the step by step instruction in the hyper-responsive marketing club