| Reworking keyword research How to build a data-driven keyword strategy Hey Maxberliner, I bet you've heard that keywords are the pillar of SEO. Chances are you've also heard you should target long-tail keywords because they "convert better", or chase after "hidden gems" with lots of searches and zero competition in Keyword Planner. I'm not here to dispute this. Well, maybe a tiny bit :) More importantly, I'd like to throw some science into the traditional keyword routine, and share a data-backed keyword research framework to make every step of the process - from data collection to keyword mapping - meaningful. With any luck, the article will help you answer these questions: • What should your priority keywords be and why? • How hard is it to get to Google's page 1 for term A? Terms B and C? • Why are some of your keywords losing rankings? • Which keywords should go in the title tag of your home page? Jump to the guide for my tips on how to make informed decisions on keyword targeting by reworking your keyword research routine, and please don't forget to share your thoughts in the comments below! Advanced SEO's Guide to Keyword Research
A data-driven take on keyword selection and targeting  | Cheers,
Yauhen Khutarniuk
SEO PowerSuite | | 
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