One of the most surprising challenges when you’re researching niches is the overwhelming nature of it. You can end up with papers, files, spreadsheets and a whole lot of data. This bulk can and does easily get mixed up.
The result is chaos and a complete mess.
A little preplanning and organization can work wonders.
Step #1 Choose Your Tool
Many paid keyword tools offer onsite storage and organization. They’ll label your keyword search results, let you fine tune them so they only show what you need the results to show and label them accordingly.
Other research tools leave you to your own devices. Yes, you can export the information to your computer but what you do with it after that is up to you.
So the first step is to choose your keyword and/or niche research tool.
Step #2 Paper or Digital?
Personally, I believe there is a time and a place for both. Sometimes I think better with a pencil in my hand and other times I think better typing on a keyboard.
What do you prefer? If you prefer good old fashioned paper and pencil, great. Grab a few spiral notebooks and some sharp pencils or nice pens and get started.
If you prefer digital, and many do, then the next question is going to be – What format? Do you want to use docs? Spreadsheets? Mind maps? A combination of formats? Decide what works best for you. It may be important to know that many keyword tools export to excel spreadsheets and/or txt files.
Step #3 Keeping it all Together.
Assuming you have several potential niches to research consider creating files or binders for each. For example, if you’re researching: coffee, cats and bungee jumping each niche will have its own three ring binder. Then you can subdivide the binder into sub niches or micro niches or even research categories depending on your personal organization preferences.
The organization system you create isn’t as important as actually creating a system and using it. Skipping this step will likely result in a stack of paper, or digital files, that have no rhyme or reason after several hours of research. Trust me, all the data can start to look the same!
~ Kim ~
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