I am not sure about my analytic conversion rate because Adobe Analytics and Google Analytics shows different ratios.
They will never match. But generally they are close to each other. The below article explains the possible reasons behind the difference in metrics.
http://www.searchdiscovery.com/blog/comparing-data-adobe-analytics-vs-google-analytics/
Also, it depends on how you define your conversions rates.
Related
My event counts between GA4 and UA are different. They are not drastically different (maybe about 10%) but the numbers are still off. If the tags and triggers are all the same in GTM, shouldn't the event counts be identical? what would cause it to be 10% off or is this normal??
First of all, it has at this point become agreed upon that GA4's pre-baked reports are less than reliable. We now suggest avoiding using pre-cooked reports in GA4 and instead either use the Explorer, or export the data and use something else entirely (preferably) if you have the resources for it.
Secondly, make sure you don't have Google Signals enabled since this changes thresholding/sampling logic. Also, switch to device-only reporting, it will help with thresholding. More on it here. It's important that the Signals are never enabled. It looks like the thresholding logic won't be fixed even if you disable them after enabling. Some report the thresholding reduce after you give it some months. Some claim it's due to Signals affecting the data and then the data can't be restored.
Event Properties Cardinality. Here's more about it. Despite what Google claims, GA4 is still full of bugs and unpleasant features. One of it would be the cardinality of your eps' values. Keep it low. Otherwise, sampling kicks in hard and you end up seeing a large percentage of your events as Other(Other). Even when you don't use the high cardinality dimension in your report.
Data retention. See the limitations on it here. Yep, no more free access to old data for your precious ad-hoc YoY analysis, so if you're counting old events, no luck. UA will show them to you, but GA4 wipes them. GA4 tries to still maintain the pre-cooked aggregated reports, but now you can't drill into them as you used to in UA, and they're not accurate anyway.
These are generic suggestions. More debugging would have to be done on your side to find out exactly what datapoints at what times aren't being counted. Data exports to BQ would help narrowing it down. But at this moment, the general consensus among analysts is that we shouldn't compare GA4's data to that of UA. I personally don't agree with that consensus, since it's always good to know the difference, but that has become almost an industry standard today.
I posted a finding to this thread.
had the same issue with purchase events being different for UA vs. GA4.
Universal Analytics was always showing higher numbers and the triggers were exactly the same.
Then I enabled data export to BigQuery and it turned out that GA4 shows only those transactions in the GA4 UI that have a value for the field user_pseudo_id (you only see this field in the BigQuery data export). There were transactions where the field was null and apparently these dont show up in the UI.
I would recommend looking at raw event in BigQuery, the data export is for free as long as you dont go crazy with ETLs and queries.
I am trying to automate the weekly report. Currently, I am using Google Analytics website to get the data for my report. Sampling level is higher precision.
I tried to get the same data by Google analytics API set samplingLevel as HIGHER_PRECISION. However, I am still getting the sampled data.
For FASTER, Precision Level is roughly 25% whereas for DEFAULT and HIGHER_PRECISION sampling level is roughly 50%.
On Google Analytics website, it says 'This report is based on 100% of sessions'. Can I get the same level of accuracy with Google API? I am using Google Apps script.Response for HIGHER_PRECISION is not matching.
Sumit, the API and the Google Analytics UI are certainly different and similarly the sampling's effect on things is a different beast which must be handled properly to get anything useful out of it.
As was mentioned in the comment, you can achieve high precision unsampled reports by (typically) shortening your date range that you're querying for and then "walking" the data.
To walk the data, you are essentially just gradually incrementing that small date range as you move through the desired data.
The "unsampled reports API" is... well, not the best. Considering that's what they are avoiding giving the end user in the first place, the offering available is not a very good long term or large project friendly solution. I would recommend small date ranges and then doing a data walk.
Happy Coding
There are several solutions to avoid sampling issue in Google Analytics by automating the process of data export for short date ranges.
I prefer this tool, it's pretty simple to use: MadStats.io
I'd like to serve certain pages only in one geographical area and have Analytics compare the performance of those pages with the normal pages. Is this something I can do with Analytics?
Thanks
You could probably do it for a (extremely huge) fee with Google Analytics 360 and Google Optimize 360, which would allow you to define a GA segment as target audience for the Optimize test.
With standard GA, no. There is no backchannel that would allow you to target, in realtime, users in an A/B test based on Google Data. You would somehow need to do the geographical split yourself and pass in flags for the A/B test to GA. In your reporting you then might be able to segment properly by geography for the results. That will be a second rate solution, and I'm pretty sure you would be better of with a third-party tool.
I'm looking for a way to integrate all my DFP data (impressions, CTR, revenues, etc.) to my Google Analytics campaigns (and sources, medium, etc.).
From what I understand Google Analytics premium/360 has a feature which integrates with DFP data but I also see that it costs (at least) $150K/year which is a bit over my budget right now :)
It seems like a pretty common issue so I think I'm not the first one to need a functionality like that.
Otherwise what are my option to track if a specific marketing campaign is yielding the expected revenues ?
Thanks !
Google Analytics definitely has a problem in statistic display.
I do query with Date range 14-19 jul:
https://www.dropbox.com/s/fim4avm75ohypqs/gatrust2.png
And have 12 transactions from iOS 5.1.1 and 0 from any others versions which is very strange.
Ok, who knows, maybe there is some abnormal users behavior.
But then i do same request, but for 1 day (18 Jul):
https://www.dropbox.com/s/m0q0lvuvzu4svy5/gatrust1.png
Now there is 6 transactions shown from others versions.
I have feeling that i may meet such inconsistencies in Google Analytics in other queries,
where i just do not see exact inconsistencies proof, but feel that provided information is not logical.
Does it mean, that i can’t trust to information provided by GA?
Just use it as some... sandbox tool?
Confused.
Probably the inconsistencies are caused by Google Analytics sampling. When you have a lot of visits, Google Analytics (free plan) only takes only a part of them to show the corresponding stats.
If you look at the first of your captions, you can see in the upper right a box saying: "This report is based on 248.360 visits (8,36% of sessions)". So you are only seeing data from 8,36% of the real visits. You don't know what the other 91,64% did in that date range.
If you want reliable data with such high number of visits, Google Analytics (free) is probably not your best option. You could use Google Analytics Premium (quite expensive, but eliminates the sampling issue), other paid analytics software or some free alternative like Piwik or Open Web Analytics.