Using Analytics Marketing Channels with Advertising Cloud Data

Advertisers with an Advertising Cloud-Adobe Analytics Integration Only

By using both the Advertising Cloud and Marketing Channels reports, you can gain valuable insight into how your digital media influences site activity.

The following illustration shows how Advertising Cloud and Marketing Channels track the individual visits that comprise one visitor’s journey. Advertising Cloud reports in Analytics are limited to only paid display and search advertising trafficked through Advertising Cloud, using the AMO ID. However, Marketing Channels tracks all channels configured in the Marketing Channels Processing Rules.

How Advertising Cloud and Marketing Channels track the individual visits in a visitor's journey

In the first visit, the user entered the website through an email campaign, executed ten page views, and then left. In the second visit, the user entered the site via a display ad, executed ten page views, and then left. In the third visit, the user entered the site via natural search, executed five page views, executed a $250 conversion, and the left. Notice the difference in tracking between Marketing Channels and Advertising Cloud. The only channel that Advertising Cloud tracks in this journey is Display. Advertising Cloud tracks the Display channel visit and attributes the subsequent engagement data (such as page views) and conversions back to that advertisement’s influence. Marketing Channels, on the other hand, gives a full view of all channels.

Because the AMO ID persists through the visitor’s journey, you can use the AMO ID data to see how Advertising Cloud influences other marketing channels. The AMO ID persists for 60 days by default, but you can configure the persistence as needed.

How to Combine Advertising Cloud and Marketing Channels Data to Analyze Media Performance

Within Analytics, you can combine the Advertising Cloud persisting paid advertising data and the Marketing Channels comprehensive visit data to better analyze your media performance so you can better influence the customer journey.

The following analysis uses the Advertising Cloud data to show different versions of how a display advertisement impacts site conversion. All three columns use the same conversion metrics, but each column tells a different story:

  • Column 1 looks at the AMO ID data that’s persistent across the visitor’s journey. Column 1 indicates that 641 Applications Starts were, at one point, linked with an Advertising Cloud ad, either through a view-through or a click-through event. This view doesn’t take any other Marketing Channels attribution into consideration.

  • In the Marketing Channels data set, however, the 641 Applications Starts are attributed to other marketing channels. The last two columns take the 641 Applications Starts and limit the data to the Display Click-Through and Display View-Through channels, showing the conversions that occur in a last touch attribution model.

example of how a display ad impacts site conversion

You can take this analysis one step further. You can break down the Advertising Cloud row further by marketing channel to see where the Advertising Cloud conversions are attributed to the 641 Applications Starts. You already know that five of those conversions are attributed to a last touch Display Click-through and 19 are attributed to a last touch Display View-through. That still leaves 617 Applications Starts attributed to other marketing channels. You can drag and drop the Last Touch Channel dimension on top of the Advertising Cloud DSP line item to reveal the channel attribution for the rest of the Applications Starts and show the cross-channel impact of the Display channel.

how to add the Last Touch Channel dimension

Now you can see how the remaining Applications Starts are attributed. Email is given credit for 357 last touch Applications Starts for which an AMO ID persisted. Using this type of analysis, you can see the impact that Advertising Cloud display ads had across all channels. With only one data set and attribution model, this type of insight wouldn’t be available.

example of the cross-channel impact of the Display channels

You can improve the analysis further by using a Stack Graph set to “100% stacked” to show trended data over time. This visualization makes it easier to monitor which last touch marketing channels are more heavily impacted by your display marketing campaigns.

example of the trended cross-channel impact of the Display channels

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