Post by account_disabled on Mar 4, 2024 20:35:00 GMT -8
The months you want it to be specific to each individual month. A good volume metric will give you reasonable expectations every month of the year not just the whole year divided by . We want the range to capture as many months as possible. Highlighted range on graph with spike at the end. Fresh A good volume metric will take into account trends and adjust to statistically significant variations which diverge from the previous months. We want to detect trending keywords early on so we can predict volume and track it more closely. Graph with spike at the end.
Relatable A good volume metric should allow you to relate keywords Greece Mobile Number List to one another when they are similar in volume i.e. grouping. We can actually apply these four points to Google Keyword Planner and see its weaknesses... is a yearly rounded bucketed average of monthly rounded bucketed averages Coverage For most keywords the average monthly search is accurate only of the months of the year. Most months the actual volume will land in a different volume bucket than the average monthly search. Fresh Keyword Planner updates once a month with averages not providing predictive value. A hot new keyword will look th its actual volume in the average monthly search and it wont show up for days.
You can group keywords in of the different volume buckets with no explanation as to how the groups were formed. They appear to be associated with a simple logarithmic curve. You can see why we were concerned. The numbers arent that specific have ranges that are literally wrong most of the time are updated regularly but infrequently and arent very groupable. Well we had our work cut out for us so we began in earnest attacking the problems... Balancing specificity and coverage As you can imagine theres a direct tradeoff between specificity and coverage. The tighter the volume ranges the higher the specificity and lower.
Relatable A good volume metric should allow you to relate keywords Greece Mobile Number List to one another when they are similar in volume i.e. grouping. We can actually apply these four points to Google Keyword Planner and see its weaknesses... is a yearly rounded bucketed average of monthly rounded bucketed averages Coverage For most keywords the average monthly search is accurate only of the months of the year. Most months the actual volume will land in a different volume bucket than the average monthly search. Fresh Keyword Planner updates once a month with averages not providing predictive value. A hot new keyword will look th its actual volume in the average monthly search and it wont show up for days.
You can group keywords in of the different volume buckets with no explanation as to how the groups were formed. They appear to be associated with a simple logarithmic curve. You can see why we were concerned. The numbers arent that specific have ranges that are literally wrong most of the time are updated regularly but infrequently and arent very groupable. Well we had our work cut out for us so we began in earnest attacking the problems... Balancing specificity and coverage As you can imagine theres a direct tradeoff between specificity and coverage. The tighter the volume ranges the higher the specificity and lower.