Why Keyword Research is a Game-Changer

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Then we came up with the idea of ​​adding here how many dirty ones there were, how many of them were clean, and we wanted to set the price for the clean ones. We tried it – it’s hard when you hand out applications to managers, and then hear some clear feedback from them. Honestly, when you get 267 applications in a month, it was hard to track how many of them were clean, how many were dirty, and everything else. This was the first downside of such statistics.

The second minus is, let's say, the most global. I knew that we received 267 applications in a month, I knew how many we sold, exactly how many sales there were. But when my friends asked me: "Andrey, how many of these sales were from the site to the cold, did the managers find and sell?", then, to be honest, I could not answer this question, which confused me very much. Because I understood that this must be wrong.

And so, let's say, for about six months I matured, thought, thought that yes, indeed, this is necessary, this is necessary. In the end, the moment came when we finally decided to specifically address this issue. We were constantly putting it off, and egypt whatsapp number database then we decided to get down to business. After Googling for a while, I came across some guys who offered to make statistics on a platform called ROISTAT .

They successfully implemented all this for us, and now look, please, at what we have.





Now the first thing we have is that the applications that are listed here (in the report) are absolutely pure.

That is, it was the manager who called the request, and the manager determined whether it was a request or not. If, for example, the manager called, and it turned out to be a newspaper, or, on the contrary, an incoming call came - and a newspaper, the manager marks in the CRM that it was not a request, and it simply leaves the statistics, and the entire table is recalculated. Therefore, these are already the purest requests.