Having this knowledge of local search scenarios

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A real case, from 2013 to 2016 I worked in the tourism sector.

In it, for example, the vacation rental niche was much more mature in the US than in Spain or Italy, as demonstrated by a very high search volume for keywords that included “vacation rentals” + [name of tourist location].

In Spain or Italy, however, applying the appropriate, albeit correct, translations of “alquiler Vacaciones” or “affitti vacanze” would have meant much less potential traffic.

However, in 2013, if a Spaniard searched for “Paris apartments”, their search intention was mainly to find a tourist apartment in Paris, which is why it was much better to focus the landing pages of international cities on keywords that were theoretically more ambiguous but with much greater volume.

Note that this did not apply to Spanish cities: applying the same rule lithuania mobile database to Madrid or Barcelona would have meant having no relevance and not understanding the search intention of users.

In these cases, the vast majority of users who performed a search of this type were looking for apartments for residential rental or purchase.

and the search intentions of natives is difficult to achieve if we cannot rely on natives or on native agencies or consultants who can help us.

Close integration with SEM will also be of great help as it allows, in an initial phase of landing in a new country, to coordinate and minimize advertising expenses, as well as being a great way to land keyword research, taking into account the keyword corpus of the campaigns.