Ask Should I target problem solving keywords or product specific keywords?

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In affiliate marketing, problem solving keywords and product keywords both have their own use, and it is important to understand the difference. Problem solving keywords are when people search for a solution, like how to fix slow laptop, and then a product can be recommended as the solution. Product keywords are when people already know the product and are close to buying. Many people say problem keywords bring more traffic, but product keywords bring more buyers. So it looks like both are important in different ways. Which one should be the main focus?
 
Product keywords should usually be the main focus if the goal is to make sales, because people using them already have buying intent and are closer to taking action. However, relying only on them can limit traffic, so problem-solving keywords are important for bringing in a wider audience earlier in their journey. A balanced approach works best use problem keywords to attract and educate, then guide users toward product keywords when they are ready to decide.
 
Problem-solving keywords help you capture users who are still figuring out their needs, while product-specific keywords focus on people who already know what they want. If you want faster conversions, product keywords are more effective; if you want long-term traffic growth and authority, problem-solving keywords are better.
 
I think both have value, but it depends on what you're trying to achieve. Problem solving keywords can bring people who are looking for answers, while product specific keywords often attract people who are closer to making a purchase. Using a mix of both can help you reach visitors at different stages of their decision.
 
If your goal is to earn affiliate commissions, product-specific keywords often convert better because the searcher already knows what they want. At the same time, problem-solving articles can bring in a larger audience and help build trust. Linking related product reviews from those articles is a smart way to combine both approaches.
 

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