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Why is there such a difference in bounce rate in GA and J.Metrica?
Good afternoon!
I do not have much experience and only have data on my projects. So I was wondering if everyone is the same? Maybe I forgot to enable or disable something somewhere .....
In general, on my main project and on the other two, the failure rates differ with a big difference.
Ya.Metrika - 10% on average
GA - 70% on average
Since I prefer Ya.Metrika more, I constantly look through the web browser and see that people really spend on the site from 1 to 3 minutes. For a site for booking photo shoots, I think this is quite enough.
Classically fulfilled goals: I looked at the portfolio, looked at the prices, contacted the photographer.
This moment worries me, since the site is not allowed in Google in volume 10. Traffic is collected either through social networks, external links or context. If through these sources there would be a failure in failures, then I would see it in Y.Metrika, but the metric is still 10%
Dear experts, tell me what could be wrong?
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In Yandex.Metrica:
A visit is considered a refusal if the following conditions are simultaneously met for it:
Bounce is a single page view session on your site. In Google Analytics, a session is considered a bounce during which only one request to the Google Analytics server was activated (for example, if the user opened one page of the site and left it without activating other requests).
The difference in these indicators is, if only because Yandex.Metrica and Google Analytics count bounces differently.
To equalize the values, you can use the setting described in this article - https://convertmonster.ru/blog/seo-blog/pokazatel-...
In Analytics, the indicator is simply considered as such, a colleague cited excerpts above.
On my own behalf, I’ll add this indicator from Analytics to get into the top, this indicator is actually not taken into account.
With usability, SEO looks at the time on the site, the number of pages, whether the user returned to the search, and more.
Those. Failures certainly affect, but if your analytics shows 70%, don’t worry too much, although this is not good, check with other indicators.
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