In my EC site, product data have the information below.
・Brand
・category
・Sub-category
・Division
・Style
・Color-way
・Gender
・Season
Can we send and confirm the information in Google Analytics?
I searched in help, and think only we can send Brand,Category, Sub-category.
https://developers.google.com/analytics/devguides/collection/analyticsjs/ecommerce
BestRegards,
Kazuhito
Check "Enhanced Ecommerce" for a few more options: https://developers.google.com/analytics/devguides/collection/analyticsjs/enhanced-ecommerce
It's important to understand, that there are multiple sections. Dependent of what you want to do, you've got other limits. If you want to send "Product Data", then your limits are: id, name, brand, category, variant, price, quantity, coupon, position
As I was in my past also in your situations and at least in my unlucky situation the reality was, that divisions could change... So I would recommend you to use what you have and ensure that you send the SKU. Then you can export GA data and export the actual data of your e-commerce system and map the two data parts over the unique identifier SKU together (VLOOKUP and so on).
If you want everything in GA you also can extend the available fields with any field you want to have over custom-dimensions/custom-metrics: https://support.google.com/analytics/answer/2709828?hl=en
If you're going for custom-dimensions/custom-metrics I really can recommend first building a concept and really think also about the future. Otherwise you will regret it.
I hope this helped :)
Related
We have a gtm-tag article_read which include parameters such as
news_id, article_title, news_id and so on.
How can I include a list of categories in the article_read-tag?
The categories are:
Electricity, Refrigeration, Sanitation, Water & sewer, Ventilation and Heat.
Each news-article can have none or several categories.
You want to make these categories available to your GTM. So you either parse every article page to get the categories or ask the front-end to push them to the dataLayer on pageviews, which would definitely be a more robust solution.
Once you have the list accessible through GTM, you want to sort it, say, alphabetically and use that in your event property.
Don't forget to register the property in GA.
Note that analysis on this will be a bit tricky. You'll have to use contains on this dimension. But it's much better than nothing. You would have more options if you did ETL, or if you used a more advanced analytics solution. GA is generally a free product, hence the limitations.
To anonymously analyze users flow and engagement I want to use the ClientID, as identifier of each user, as a value of a custom dimension. I have two questions regarding this idea:
How many values can be associated to a custom dimension? This will determine the feasibility of this approach or not.
Is there any other approach to track individually, yet anonymously, users activity?
I'm not aware of a limit though for custom dimension length. But storing userId, sessionId customerId and timestamps for all hits in custom dimensions is not all that unusual these days. Here is a link to a post by Simo Ahava's post Improve Data Collection With Four Custom Dimensions on how to set it all up in google tag manager.
For hit based custom dimension you can store as many values as there are hits. The problem is not storage, the problem is that the interface will not show more than 50 000 rows with distinct values (any additional value will go into a row labeled "other"). Also some of the reports (namely demographics) will not work with very small segments.
I cannot think of any other way to track users individually (and if you are interested in opinions, I blogged about how I do not understand why people want to do this). The interface is not very well suited for this kind of "atomic" information, so I think the approach is more useful for API integrations that can properly visualize information on a per user basis.
I have a website that I built and am getting sales everyday now via "affiliate window" I was curious if it was possible to track the commission in analytics so I am able to see what pages are performing the best?
Thanks
You should look into purpose-built affiliate trackers. Voluum, Thrive, Adsbridge etc. CharlesNgo.com has a lot of info about these.
You can also use these trackers to dynamically insert user data into your landing pages, and they are a lot easier than GA to use. Example: https://charlesngo.com/how-to-insert-user-data-into-landing-pages-using-voluum-tokens/
After a clarifying comment: Yes, you can do this, although with some caveats (one of them that it might not be worth the effort unless you make a lot from your affiliate pages).
You can do data imports, and more specifically you can add data to urls (there are different kinds of data import and "content data" is one of them).
You need a dataset that contains a "key" field that is used to match external data to GA data and one or more fields with values you want to import.
Imported data is always dimensions, i.e. categorical data (that is per Documentation The interface allow to to select custom metrics, but I have not yet tried this and cannot give any guidance on how that would work). So if you try to import revenue you have the problem that new entries will not be added to existing entries, they will replace them
What I would probably do is to sort the data from the "affiliate window" into three categories (low, medium, high), and then prepare a csv file with the urls as first column and the categories as second column.
Then create a custom dimension with a name of i.e. "performance" (else you'd have to overwrite an existing dimension in GA and you probably not want that).
Both custom dimensions and data imports are created on a property level (however you can apply an import to a specific view and I would urge you to test this on a test view first). So in the property settings go to data import, new, content data. Key will be "page", Imported data will be the custom dimension you just created. Check "overwrite hit data" (else the data will not change after the first import, however note that this might make comparisons between different timeframes difficult).
Download the "schema" file (simply a template for your csv upload file in which you insert your data). Click finish.
Next go to data imports, "manage uploads" and upload the file. Processing will take a day or so (errors, if any, you will see shortly after the upload).
Then go to your content reports, select your custom dimension as secondary dimension and you will if the url in question was a low, medium or high performer.
You can automate this via the GA API, bit that's a bit beyond an SO answer.
---- (old answer)---
This is actually what campaign parameters are for. Your affiliate links should be tagged with campaign parameters, e.g.
http://example.com/?utm_medium=affiliate&utm_source=[[Affliate
Name]]&utm_campaign=[[Campaign Name]]
The things in the angled brackets are placeholders, you would replace those with the name of your affiliate and the name of your campaign.
Now you can look into the aquisition reports and group by source (values for all affiliate links), by source (breakdown by affiliate name) or campaigns, or combinations thereof.
However tracking the commission you pay out via Google Analytics is probably not a good idea, at least from the point of view of your affiliates - JavaScript based tracking is not necessarily accurate enough to track billable services (some people have js disabled or opted out of GA or use adblockers that block tracking etc).
Yes it's possible. You can use sub-id's and fill them with unique visitor data (Google Analytics Used ID). Once an affiliate sale is tracked in an affiliate network, you'll get the sub-id that generated the sale. You can now push that sale to google analytics and let google analytics match the visitor data with their data, showing you the full visitor reports (including landingpage info etc.). You need developer skills to get this working with your affiliate networks but there are complete easy to use tools that does the trick for you such as Ivanhoe.io and Coincrack.
I have implemented google analytics ecommerce tracking in my website. But there was a mistake while passing parameters to google analytics. My order get tracked but product sku code is not set.
Its a dummy order that i dont want show in any google analytics report.
Can you suggest how can i delete this order from google analytics?
I am afraid you cannot remove data from GA once it has been collected.
What you can do is:
hide it: create an Advanced segment, the transaction remains in your GA profile but at least it is not included in the reports.
make a copy: copy the profile and delete the old one (it means you lose historical data)
There is one more option:
1.- You could create a new transaction with the same amount in money, but with a negative sign. For example, if you have recored a transaction for 1,000 dollars, you could recreate it with a "-1000.00" amount. Doing this would "cancell" the wrong transaction.
Important: This will only work when the user sees a long period of time, including the wrong transaction and the fix.
Julien is right. You cannot remove the data.
There're a couple more options in addition to Julien's suggestions though
You can go to "Filters" option of the view and try to see if you can filter it out. Luckily, ecommerce transactions have their own category that can help you narrow down the variable you need to use. (screenshot attached)
Go a little more advanced than filters and use "Data Import" where you import the ecommerce transactions via a spreadsheet thereby overwriting the transactions for that day. So, what you would essentially do is take all the real transactions of ecommerce from your ecommerce application, export them to CSV and then upload it into GA without the test transaction.
Lastly, a tip: create a test profile for things like this.
One of the answers hinted at data imports (but in a way that would probably not have worked). Universal Analytics actually introduced a way to refund transactions (effectively canceling them out) via data imports. However this only works if the data was collected via enhanced e-commerce tracking. As per documentation:
In order to process refunds you need to have collected transaction
data with the ec.js plugin
With standard e-commcerce-tracking Omar Gonzales' answer is still the only working option (I'd like to add the additonal caveat that the negative transaction might be attributed to the wrong channel, so make sure to look at the source/medium/campaign data for the transaction you want to cancel out and supply that data via utm parameters).
I have a website that allows people to create an account (that is the conversion I wish to track).
I wish to know where a specific person is coming from. I have google analytics installed and have set up the registration page as a goal, but the reporting tells me traffic sources as an aggregated pie chart. It doesn't report down to the user account level to say that 'person with email xyz' came from 'facebook' for example.
What custom variables or mark up would I need to add to GA to report at that detailed level, if that is at all possible?
Otherwise, I will just have to record the first http_referer in a cookie and stick it in a database during the registration process.
Any advice?
Firstly I must ask you, how actionable do you think it is to look at data at that granular of a level? Finding out what % of people who registered came from facebook or some other place is actionable, because it helps you do things like determine where to focus marketing efforts. But individual users? How is this actionable to you? (hint: it's not)
However, if you are still determined to know this, you should first note that it is against Google's ToS to record personally identifiable data both directly (recording the actual value in GA) or indirectly (e.g. - recording a unique id that you can use to tie to personal info stored within your own system). If this is something you don't want to risk, I suggest moving to another analytics tool that does not have this sort of thing in their ToS (e.g. Adobe SiteCatalyst, which costs money, or perhaps you may instead prefer to choose an "in-house" approach, like Piwik)
If you are still determined to follow through with this and hope not to get caught or whatever, Google Analytics doesn't record data like what info a visitor filled out in a form (like their email address) unless you populate that data in a custom field/dimension/metric/event to be sent along with the request. Usually you would populate this on the form "thank you" page (which is usually the same page you use as your goal url or goal event if you're popping and using an event for your goal). So you would populate the email address in one of those custom variables and then have it as a dimension to break down the http referrer by.