Use Case - Creating a new clickstream summary

2 Tasks

30 mins

Pega Customer Decision Hub 8.8

Pega Customer Decision Hub '24.1 Pega Customer Decision Hub '23

Visible to: All users

Intermediate Pega Customer Decision Hub 8.8 Next Best Action English

Scenario

The technical team has successfully developed the infrastructure for streaming web activity data, and the Pega Customer Decision Hub™ application contains an installation of the accelerator component.

As a result, the U+ Comms website is now streaming the web activity of subscriptions to the Clickstream data set. The integration team provides the following information:

1. The website creates clickstream events only if the user has successfully authenticated on the U+ Comms website and has a valid cookie.
2. Currently, the website creates clickstream events only for the Account page and the Home page. However, the product pages will begin streaming events in a later phase of the project.
3. The following example shows a sample JSON payload for the clickstream service:

   { "CustomerID":"1111111111", "InterestedIn":"", "InterestLevel":"", "DeviceType":"PC", "Event":"PageView", "PageType":"Account", "PageViewActiveTime":"45", "CookieID":"" }

4. The integration team also shares the following data structure with you:

   Field	ID	Description	Type	List of Values
   CustomerID	CustomerID	The unique ID of the Subscription. Maps to the SubscriptionID in Customer Decision Hub.	Text	1111111111, 2222222222….
   Interested in	InterestedIn	Currently not used.	Currently not used.	Unavailable
   Interest level	InterestLevel	Currently not used.		Unavailable
   Device type	DeviceType	The type of device used for the login to the website.	Text	PC Mobile
   Event	Event	Type of event that occurred: PageView when the user is authenticated and logs in to the website.	Text	PageView
   Page type	PageType	The type of page that the visitor visited.	Text	Home (the login page in U+Comms) Account (the page after successful login) Offer (the page after clicking on an action)
   Page view active time	PageViewActiveType	The time in seconds the visitor spent on the page	Integer	123, 234….
   Cookie ID	CookieID	Currently not used.	Currently not used.	Unavailable

   Tip: A variation of this scenario exists in Creating new aggregates on streamable data.

 

You must initiate your own Pega instance to complete this Challenge.

Initialization may take up to 5 minutes so please be patient.

• Log In

Detailed Tasks

1 Other details

1. In the Profile Data Sources, create a new Summary named UComms Clickstream that aggregates the data in the Clickstream data set for each CustomerID.
2. In the UComms Clickstream summary, create the following aggregations:

   Aggregate Name	ID	Detail
   Avg Active Secs Acct Last 1 Day	AvgActiveSecsAcctLast1Day	Calculates in seconds the average time spent on the Account page over the last day.
   Avg Active Secs Home Last 1 Day	AvgActiveSecsHomeLast1Day	Calculates in seconds the average time spent on the Home page over the last day.
   Last Page	LastPage	Calculates the last page type visited by the subscriber over all time.

3. Associate the UComms Clickstream Summary with the Subscription entity, where SubscriptionID maps to CustomerID.
4. Using Prediction Studio, add the newly defined aggregates to the Web_Click_Through_Rate adaptive model.
5. Log in to the U+ Comms website with the following profiles to generate clickstream data:
   1. Log in to the U+ Comms website as Bhuvi.
   2. Log out from the U+ Comms website.
   3. Log back into the U+ Comms website as Bhuvi.

2 Acceptance criteria

1. Use Customer Profile Viewer to confirm that the values in the UComms Clickstream dataset for Bhuvi are aggregated correctly.
2. The predictors are added to the Web_Click_Through_Rate adaptive model.

---

---

Available in the following mission:

• End-to-end Pega Customer Decision Hub Implementation v1