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New Name: Marketing Cloud Personalization

Interaction Studio (formerly Evergage) is now known as Marketing Cloud Personalization. The new name reflects our mission and vision for innovation in Salesforce Marketing Cloud. We wish we could snap our fingers to update the name everywhere, but you can expect to see the previous name in various places until we replace it.

The graphs and charts on the Campaign Statistics screen give you insight into the effectiveness of every campaign. Understanding how to use and interpret campaign statistics will help you determine the effectiveness of your campaign and guide you as you determine where you need to make adjustments to improve results. 

View a How-to Video

Want to see more about this topic? Check out How to Review Campaign Statistics in Interaction Studio on the Salesforce Support YouTube Channel.

See the full Interaction Studio How-To playlist.

This Article Explains

This article provides guidance on the information you will see in Campaign Statistics.

Sections in this Article

Access Campaign Statistics

  1. Log into Interaction Studio

    NOTE

    Campaign Statistics are not available from the Campaign List page in the Visual Editor
  2. In Channels & Campaigns, select the channel the campaign was created for (WebMobile, or Email)
  3. Select Campaign List
  4. Select the campaign folder or narrow results by clicking Search and selecting and entering the Name, Folder, State, Last Modified By, or Segment Target
  5. Select the campaign
  6. Click STATISTICS

Activity Timeline Overview

The upper part of the campaign statistics screen shows an activity timeline for your campaign including changes, campaign state, and a graphical representation of campaign activity.


Campaign Changes

One pin - one campaign change

Multiple pins - multiple campaign changes


Campaign State

Green - Published

Dark gray - Testing 

Light gray - Disabled


Statistics

White background - Total recorded campaign impressions

Blue background - Range selected for reports calculation

Filters and Options

Outlier Filtering - (available if outliers are configured in Catalog Setup > Settings) set to ON to exclude outliers in Campaign Statistics. For example, suppose a visitor placed an order far above the expected deviance from the average order value. This order could skew the statistics for your campaign so you can exclude orders outside of the configured general order range.

Results Filterthere are several default filters listed in addition to any global goals you’ve set. When selected, only the people who meet the filter category will be included in the metrics. For example, suppose you want to see how first time visitors performed for this campaign, select Visit Status > First Visit. Or maybe you want to see if your campaign is performing well on all devices, or only mobile, or only desktop. Select Device type then the type of device. Once you have selected the filter, the campaign statistics will recalculate to show the performance of the campaign only for the visitors from the selected filter.

Attribution Type - There are two attribution types: view and click. View shows whether visitors saw the campaign and converted during the selected attribution window. If your campaign includes a button or a link, Click shows whether visitors who saw the campaign and clicked the button or link, converted.

Attribution Window - remember this is the period between the visit impression and the goal completion. You can change the attribution window by selecting a new one from the drop down and the statistics will recalculate based on the selection you make. Remember, the attribution window you select depends on the type of campaign you are running. For example, you would typically look at an attribution window of 30 minutes with a campaign that needs an immediate response, like a pop-up.

Comparison Baseline - campaign metrics are compared against this measurement. For example, you can compare each experience to the other to see which one performed better. If experience A is the baseline, you can see if the revenue or conversion rate was higher for experience B as compared to experience A.

Goal Selection - the list of global goals configured in SETTINGSYou can view how any campaign is performing against a configured global goal. Applying global goals to a campaign gives you a broader view of the effects of a campaign beyond the immediate metrics.

Date and Time Range - this can be adjusted to show dates and times during which the campaign existed. Click the header to jump to months and click again to jump to years. Dates and times are shown in local time.


Report Options

Email sends are not tracked by Interaction Studio

Interaction Studio does not track email sends for two reasons: they are tracked by your email service provider (ESP) and are not an indicator of campaign success.

Goal Completion Rate - the number of users who completed the goal divided by the number of cumulative unique impressed users

Goal Completions - the number of users who completed the goal as outlined by the goal segment

Impressions - the number of times the campaign was seen. For web or mobile campaigns, this may be greater than the number of unique visitors since they may see a campaign more than once. For email campaigns, this is captured when the recipient opens the email sent by the campaign.

Unique Visitors - the number of unique users exposed to the published campaign. Unique visitors are counted based on individual user profiles (anon and named users) and carries over across sessions.

Dismissals - the number of times the campaign was dismissed (if applicable)

Dismissal Rate - the cumulative number of dismissals divided by the cumulative impressions

Clickthroughs - the number of times a user clicked a link inside the web or mobile campaign (if applicable), or in an email

Clickthrough Rate - the number of cumulative clickthroughs divided by the number of cumulative unique impressed users

Revenue - the number of cumulative revenue of impressed users

Revenue/User - the cumulative revenue divided by the cumulative unique impressed users

Average Order Value - the cumulative revenue divided by the total number of orders

Conversion Rate (Orders) - the number of cumulative orders divided by the number of cumulative unique impressed users