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Goal conversions (transactions) on 10+ sites we maintain are stable; so is bounce rate and page views/visit. The sites are on different servers, too.
So it doesn't appear to be a site problem.
But revenue is at year lows for all of these sites.
And the sites are in different industries.
Can someone confirm before I throw myself in front of a bus?
[edited by: jatar_k at 4:04 pm (utc) on May 2, 2008]
[edit reason] no urls thanks [/edit]
Google Analytics yesterday and today carried a notice, seen on log-in, about data being dropped for a few days, a few weeks ago.
I have a website that has just gone live, like only three days ago, and shortly before it went live all the GA profiles were deleted by me, and then recreated a few minutes later. This was to zero out all the stuff that had accumulated while the site was being tested. We don't need any of that data, none of it was from "real" visitors.
Additionally, all the staff now have an "exclude" cookie set on their machine so that they will not be included in the future, too.
The interesting point, is that today, Google has inserted data for April 30th and May 1st and 2nd. I guess they could do this because the profile names remained the same as before. Now looks odd to have this big spike pre-launch!
Re: perspective, yes, stuff happens. I've made my own mistakes and screwed up Analytics without any help from Google whatsoever :-) But I would have expected them to be more forthcoming considering this is a pretty major problem. Maybe even pull in some extra resources so it takes less than 2 weeks to fix it. Perhaps even send someone by WebmasterWorld to do some damage control...
How many Tera-Bytes of data do you think is involved. They usually process the data as they go, so now they have to process five days worth of data in parallel to also processing the current stuff.
Taking five days to process it, would mean double the load on their processing servers. Limiting the load to a 20% increase would mean it takes 25 days to process it all.
That amount of data cannot be moved, processed, and inserted in a day or two.
Let's say there are one billion records. To do this in 10 days would mean that 1157 records need to be processed every second.