Digital Insights

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Adobe Marketing Cloud Pulse Chrome Extension

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Back in 2010, Adobe introduced Digital Pulse Debugger, a JS snippet that you could add to your Bookmark and act as your Sitecatalyst, Test & Target, AdLens and Audiomanager debugger. Effectively, an image requests that shows you via a basic interface all the variable and success events that fire once your page loads amongst other useful information such as Report Suite ID, Visitor ID etc.

Pulse became a must have extension, however it lacked the ability to show you a sequence of requests (you could do that with Charles), onclick events and variables that fire without a page load as well as possible errors with your variable settings within the admin console. For that you have to go via the network option in the development console or use 3rd party tools such as Observe point and Charles.

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Pushing DataLayer Values in Adobe Sitecatalyst variables via DTM

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Quick post this week on Adobe DTM and dataLayer values.

Once your SDR is setup and your dataLayer implemented on your web site, the first steps you need to make is push all the dataLayer values into the relevant Props and eVars so you can start populating your Sitecatalyst and Workspace reports with data.

The first step you need to take is create your data elements in Adobe.

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Optimizely API initialisation via Adobe Analytic s_code & DTM

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I was recently asked – due to some issues with Adobe T&T – to run a test with Optimizely, one of the most popular AB Testing and Personalisation platforms in the digital space right now. While implementation with Google Analytics is pretty straightforward, there were some challenges I had to face with Adobe Sitecatalyst (as expected) and deployment via DTM.

Optimizely offers an integration feature for Adobe Analytics (Screenshots below) from which you can activate the tool and use its interface in order to push Experiment Names into Prop and/or Evar, similar to AAs for Target (A4T) plugin and to custom dimensions for those using Google.

Deploying code via DTM is fairly straightforward, but Optimizely documentation seems more tailored to native JS deployments of Adobe Analytics and hardcoded RSIDs which caused a couple of issues with our current setup.

Thanks to the help of our awesome Adobe Specialist Alex Brown, we managed to come up with a solution:

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How to compare new and return visitors in Adobe SiteCatalyst 15

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This is not going to be a big post as it will discuss a bit about one of the silliest adobe sitecatalyst barries, the known to all of us from Google Analytics “Visitor Type”.

In GA, on the Audience report, you can select the Behaviour tag and then click on “New vs Returning”. This will automatically categorise

newVSreturning-GA

Then GA provides you

newVSreturningmetrics

Unfortunately Adobe Analytics do not provide you a “User Type” report by default, however this is an easy fix by creating a couple of Visit type segments on your own.

The first segment you will create is the New Visitor one. We will name this “Visit Type: New visitor”

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