As for the actual stats, it's important to collect them on a regular basis. Traditionally, Google Analytics and have been used for this. It's important to note that there are few relevant services left today: Google Analytics is historically on the decline due to the encryption of search queries. In , more than 45% of "junk" requests were observed.
There is currently no public solution to get URL-keyword Brazil WhatsApp Number List bindings. To get out of this, you can use various machine learning algorithms for your parser. "It is actually the metric parsing of outcomes that is complex today," the speaker emphasized.
In order to parse today's search queries, the following services are available:
If we talk about Yandex Wordstat service, then it has serious drawbacks. In particular, it contains many twisted requests; using Wordstat, the correct word form cannot be determined; stream parsing is problematic (ban/kacha); the service does not guarantee data integrity and freshness.
The way to get out of this situation is to analyze search hints. This is a good source of search query data. It always contains a stream of new requests and initially correct word forms, automatically validating "skewed requests" and misspellings. Search query data is easy to collect.
However, there is an important nuance here: the data should be carefully analyzed - if you fetch a lot of data; then the service will return "not right".