Many variables contain limitations to the number of bytes they can hold. A byte is generally a single character, however can take up to 6 bytes depending on the complexity of the character. Any variables that exceed these limitations are truncated:
PageName and all custom traffic variables (props): 100 bytes
Tracking Codes and all custom conversion variables (eVars): 255 bytes
URL and Referrer: 255 bytes
Hierarchy variables: 255 bytes total across all levels
The transactionID variable can contain any character other than a comma. It should be in the same location where the character limit (100 bytes) is specified. If multi-byte characters are used, multi-byte character support must be enabled in order to avoid problems with unexpected characters in the transactionID.
Purchase ID: 20 bytes
Products: 100 bytes for each product category 100 bytes for each product name No overall limit within the entire variable
Events variable: No overall limit, however each serialized value may only contain 20 bytes
You can build a calculated metric
using single access, but that will only work when looking at specific
dimensions (pages, evars, etc.) and not from a site-wide perspective. If
you want something at the site level, then you can use single page visits.
You should use the metric that suits your need based on where/how they will use it in reporting.
By the user of other metric we can solve this problem.
We can build a calculated metric using single access, but that will only work when looking at specific dimensions (pages, evars, etc.)
Single Page Visit / Entries
If you want something at the site level, then they can use single page visits.
Single Access / Visits
use the metric that suits the needs based on the requirement.
Other solution to track banner ads is to populate the value
on that value to analytics variable like prop on page load.
This can give insight that how many banner has
been loaded at the time of page load.
Charles is an HTTP proxy / HTTP monitor / Reverse Proxy that
enables a developer to view all of the HTTP and SSL / HTTPS traffic between
their machine and the Internet. This includes requests, responses and the HTTP
headers (which contain the cookies and caching information)
After installing following are the steps to configure it
2.Goto Help->SSL Proxying->Install Charles Root Certificate
3.Select Local Machine and click on Next
4.Browser the certificate and select “Trusted Root
5.Click on Tools->Whitelist
6.Click on Proxy->SSL proxy settings
After performing the above settings Charles will work fine in Chrome browser, for some reason it was not working on firefox at my end.
Follow the steps to make it work:
Windows / Internet Explorer First quit Charles. Then go to the Internet Options in your Control Panel. Go to the Connections tab. Click on the LAN Settings. You’ll see a Proxy panel. Uncheck the Use a Proxy checkbox. Click OK until you’ve closed the Internet Options.
Mac OS X Go to your System Preferences. Open the Network preferences. Choose the appropriate Network Port (you may need to reconfigure more than one if you have more than one) and click Configure. Go to the Proxies tab. Look in the list of proxy servers, you will see that Web Proxy and Secure Web Proxy are active. Uncheck those or reconfigure them as required for your network. Click Apply Now and then close the Network preferences.
Firefox First quit Charles. Then go to the Firefox Preferences window, General tab, click Connection Settings. Then choose “Direct Connection to the Internet” or enter whatever proxy settings are required for your network. Click OK and then close the Preferences window.
In order to track the amount of time between two different events you can use the getTimeBetweenEvents plugin. It allows you to track the amount of time between two different Adobe analytics events.
I believe this plugin is not free , to get this you need to get in touch to Adobe Consulting.
In case you are not willing to work
with Adobe Consulting then you can develop your own custom solution.
You can set a cookie when the first event is fired, in that cookie set the time stamp as t1 and when the second event fire set the timestamp as t2. Calculate the time difference between t1 and t2 and populate the value analytics variable.