The main thing to learn from the list of nuances presented is that hints are always geographically related, and this must be taken into account when forming the semantic core. There are people who "wrap" topics artificially, but this trend has not been noticed in terms of business queries. However, strict filtering is important when analyzing search suggestions. Done right, using search suggestions can be significantly more efficient than using the Wordstat service.
You also shouldn't trust aggregators and third-party Brazil WhatsApp Number List services "with caching" - they're often characterized by dubious integrity and confusing selection and irrelevant frequencies. Often these are requests from the service users themselves and human-generated requests. The main reason for this inaccuracy is the high cost of keeping the data up to date.
If you need to implement semantics quickly and get traffic quickly, it makes sense to use "marker queries".
After collecting the semantics, it is important to distribute the keywords correctly on the page. This can be done manually, but the process is time-consuming and error-prone.
So, for example, two experts would need 5-6 months of work to parse 500,000 keywords. Average salary, total cost of work is 360 thousand rubles.