This way, we can see which keywords our future competitors (real or aspirational) are ranking for in each country.
Then we put all the keywords together in a single file and, in this way, we will have a very extensive corpus of keywords, from which we will have to eliminate all the brand keywords from each of these domains.
or products that our startup does not offer (it is very possible that a company, a leader in our niche, also provides other services that we cannot or are not interested in offering).
After the above, we can filter by volume, group them by different services, in short, do what best suits us at any given time.
Of course, the process will have to be repeated for each target market and the belarus mobile database competitors will not necessarily be the same (quite the opposite, generally the more niche the sector, the more local the players are).
At this stage, if no team member is a native speaker or really knows the local reality well, it is important to have feedback from someone who does.
The above is important not only to include competitors, but also to evaluate the extracted keywords since it is possible that interesting keywords are missing, as well as other ways of naming services or needs that our startup can cover and that none of the current players are using.
This is more frequent and necessary in smaller and/or less known markets or where almost all of the main players are not local.
We will also have to eliminate all those words related to services
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