Post by account_disabled on Mar 9, 2024 4:31:18 GMT -5
The has simply mapped the keywords together BOTH in organic search results AND in volume. This forces keyword researchers to build huge keyword lists and go linebyline removing the edge cases. Heres a quick tip for you Excel experts out there Look into using Jaro Winkler distance to find very similar terms that have identical search volume. Often these terms are mapped both in organic and in volume and you can find those exclusions easily. Dirty secret Strange recommendations Sometimes Google Keyword Planner gets the keyword recommendations completely wrong.
Here are a couple of the examples that I was able to pull in just a Greece Mobile Number List few minutes of brainstorming Starting Keyword Recommended Keyword baseball glove boxing glove pigeon cabins calamari pork chops rap country music than just phrase matching to build their recommended keywords you will regularly find some truly strange entries in your recommended keyword list or connections that a computer might make but a human never would. Unfortunately this means you have to be very careful about what you get back going keyword by keyword if you want to start a paid search campaign based on whats been returned. You simply cant be confident in the relevancy of the results.
Can you imagine how many webmasters just blindly added Googles recommendations to their advertising campaigns All is not lost Luckily there is more than one way to get at and improve the Keyword Planner data using clickstream data sources. Our own Keyword Explorer tool has around accuracy with Google AdWords monthly keyword volume. Our volume range was produced using sampling trend data and the number of searchers and searches for a given keyword from the clickstream combined with AdWords volume data. We know of two other keyword data sources ClickStre.am and SimilarWeb which correlate nicely with Google Keyword Planner volumes. While this data from SimilarWeb is very useful building a more accurate prediction.
Here are a couple of the examples that I was able to pull in just a Greece Mobile Number List few minutes of brainstorming Starting Keyword Recommended Keyword baseball glove boxing glove pigeon cabins calamari pork chops rap country music than just phrase matching to build their recommended keywords you will regularly find some truly strange entries in your recommended keyword list or connections that a computer might make but a human never would. Unfortunately this means you have to be very careful about what you get back going keyword by keyword if you want to start a paid search campaign based on whats been returned. You simply cant be confident in the relevancy of the results.
Can you imagine how many webmasters just blindly added Googles recommendations to their advertising campaigns All is not lost Luckily there is more than one way to get at and improve the Keyword Planner data using clickstream data sources. Our own Keyword Explorer tool has around accuracy with Google AdWords monthly keyword volume. Our volume range was produced using sampling trend data and the number of searchers and searches for a given keyword from the clickstream combined with AdWords volume data. We know of two other keyword data sources ClickStre.am and SimilarWeb which correlate nicely with Google Keyword Planner volumes. While this data from SimilarWeb is very useful building a more accurate prediction.