timeframe that tagging was down? Is the any way to collect the data?
Is there a quantitative piece that can be added for the timeframe that tagging was down? X attempts, X tags, or X members.
Is there a quantitative piece that can be added for the timeframe that tagging was down? X attempts, X tags, or X members.
Not Entire Site. AEM pages are working fine without any issue . Due to data layer change Data not collected for all the pages.
OK, at least that may be something to work with... not knowing your site or the behaviours I will be keeping this generic...
So it sounds like you want to know how many people "logged in" (I suspect you are tracking login success on the page that wasn't working), and you have no user status on other pages.
Do you have pages or features which are restricted to logged in users that were still tracking.... Depending on how popular they are (like this is something logged in user almost always go to cause its the reason to log in, vs something they rarely visit) this could be a semi-indicator of your logged in users.
Or many you have an actual click tracking on your buttons leading to the login screen... now of course there's going to be some people who abandon this flow... but if you look at historical clicks to completions.. you may be able to do some approximate math to calculate the number of successful logins based on historical success rates?
The other possibility, is you could try to use Raw Data feeds to look at all the referrers. Assuming the page following login was being tracked.... while we all know that internal urls are filtered from our reports... the raw data feed stores the full referral information. It may be possible to see how many people came from your non-tracking login screen.... but of course, you then have to process this data to get rid of the exclusions, and if people can navigate from the login page to where ever they land (i.e. successful logins send people to the home page) you could still be over-counting based on the abandonment....
While none of the above are ideal, I listed them in the order I thought might yield the best "approximation".. but these may also inspire another solution because you have familiarity with your own site and there may be another calculation that you can do.
Good luck.
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