The benefits of tracking domain transition statistics

Does the hosting provider (CP) often ask: why does the client leave him for another provider?
And if it is important for him, what tool will help to display a real picture of the reasons for the transition, or at least model the dependencies?

There may be a lot of options, but they are all based on statistics, because a departed customer is history.
But our task is to identify the reasons for leaving and try to avoid losing the client in the future.

Today I want to discuss one of the tools - domain transition statistics.
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- What's so innovative? - the grateful reader will ask ... :)
- IMHO the principle of comparison of statistical data. - Your humble servant will answer ...


Every self-respecting HP has its own ns-servers, by which a third-party observer can determine who hosts this or that domain.

Based on this, and knowing which TP the client left for us was with, with a certain degree of probability we can assume which TP of the competitor he switched to.

Further, we compare these (and the nearby) TP of a competitor in all the available parameters, including the price, and draw conclusions ... :)

You can also compare the location of the CP (its servers) with our location.
Subjectively, to determine the sustainability of channels is an important indicator of the stability of client resources.

If you manage to create a service that will show such statistics in a systematic way - the popularity among the HP creator is provided.