Post by account_disabled on Feb 22, 2024 5:41:04 GMT -5
The this way too often. Three questions Do you care more about losing rankings for ten very low volume queries searches a month or less than for one high volume query millions plus If the answer isnt yes I absolutely care more about the ten lowvolume queries then this metric isnt for you and you should consider a visibility metric based on click through rate estimates. When you start ranking at for a keyword you didnt rank for before does this make you unhappy.
If the answer isnt yes I hate ranking for new keywords then this metric America Mobile Number List isnt for you because that will lower your average rank. You could of course treat all nonranking keywords as position as some tools allow but is a drop of average rank positions really the best way to express that of your landing pages have been deindexed Again use a visibility metric please. Do you like comparing your performance with your competitors If the answer isnt no of course not then this metric isnt for you your competitors may have more or fewer branded keywords or longtail rankings and these will skew the comparison.
Again use a visibility metric. Conclusion Hopefully youve found this useful. To summarize the main takeaways Critically analyse correlations case studies by seeing if you can explain them as coincidences as reverse causation as joint causation through reference to a third mutually relevant factor or through niche applicability. Dont look at changes in traffic without looking at the context what would you have forecasted for this period and with what margin of error Remember that the tools we use have limitations and do your research on how that impacts the numbers they show. How has this number been produced is an important component in What does this number mean If you end up combining data from multiple tools remember to work out the relationship between them treat this information.
If the answer isnt yes I hate ranking for new keywords then this metric America Mobile Number List isnt for you because that will lower your average rank. You could of course treat all nonranking keywords as position as some tools allow but is a drop of average rank positions really the best way to express that of your landing pages have been deindexed Again use a visibility metric please. Do you like comparing your performance with your competitors If the answer isnt no of course not then this metric isnt for you your competitors may have more or fewer branded keywords or longtail rankings and these will skew the comparison.
Again use a visibility metric. Conclusion Hopefully youve found this useful. To summarize the main takeaways Critically analyse correlations case studies by seeing if you can explain them as coincidences as reverse causation as joint causation through reference to a third mutually relevant factor or through niche applicability. Dont look at changes in traffic without looking at the context what would you have forecasted for this period and with what margin of error Remember that the tools we use have limitations and do your research on how that impacts the numbers they show. How has this number been produced is an important component in What does this number mean If you end up combining data from multiple tools remember to work out the relationship between them treat this information.