It is clear that it cannot be managed manually, but an automation must be found that is scalable enough and that at the same time sounds natural to a native speaker.
In my experience at HomeAway (now vrbo.com) each local domain had its automated rules for the metas and H1s of the landing pages, but one of the key points was that there were local teams to validate these rules, according to the peculiarities of the users in each country and taking care that prepositions and articles were used correctly and that it sounded natural to a native user.
2.- Not doing a real keyword research for each country, taking into code phone number philippines account the search intentions
Conducting excellent keyword research for each country and choosing local keywords well is a pending issue for many startups and explains many difficulties in penetrating local markets.
It requires resources, business integration and a local marketing strategy, and it has to be done at the right time, before launching a website in another language.
can be achieved over all those other players who apply a centralized model, without hardly adapting their keywords to the different markets.
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 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.