Video Transcript:
G’day! It’s Justin Meadows here from Evergreen Profit. And today I just wanna talk to you quickly about keyword research in particular the difference between broad, phrase and exact match search result. So the way I like to think about it is it’s very much like a Goldilocks situation. You have your two ends of the spectrum and then phrase match in the middle which I think is just right and I’ll explain why that is.
Now with exact match, it is only counting the number of searches that people make for the exact words of that key phrase so we’ll use the example of train your dog. So if you’re having a look at the search numbers for the exact match of train your dog, it’s only gonna show you the people who typed that in exactly which is good because it gives you a very clear indication of how many people typed that in. However,it does miss out on the opportunity that’s there that people often use modifiers. They add on extra words to be a bit more specific about what they want.
And broad is the other way around. It includes all the words, all the search phrases that include those words even if they are in different order, jumbled around, might mean a completely different thing. For example, take your dog on the train is a phrase that would come up as a broad match to train your dog. However, it is a different topic altogether so you can see how the number of broad searches can be a misleading representation of how many people do actually search for that keyword.
Whereas phrase I think is just right. Phrase is what you really need to be paying attention to. It’s worth looking at exact but phrase is what I based all my keyword research on. And that’s because you get the exact match keyword as well as any extra words that people might put on the end or in front of it. So going with the train your dog example, train your dog to sit or how to train your dog would be included as phrase match searches for that keyword. That gives you a good indication of how many people are looking for that keyword and using similar searches without being confused with other related searches that might be using similar words but be looking for a completely different meaning.
