Marketing Cloud Personalization common terms from M to R.
Note This glossary contains many, but not all, common
terms associated with Marketing Cloud Personalization. If you don't see a term defined here,
search for it using the search box in the left panel.
- Mobile SDK
- monthly unique visitors
- most recently published ingredient
- named individual profile
- named profiles
- order
- outbound orchestration trigger
- outlier filtering
- path
- Paths Report
- personalization
- real time
- real-time interaction management (RTIM)
- recent visitors
- recommendation
- recommendation campaign
- referring source
- relevancy retained
- results filter
- revenue
- revenue per user
- rule
Mobile SDK
Use the Marketing Cloud Personalization Mobile SDKs to track the behaviors and actions of
iOS and Android mobile app users. Use the Marketing Cloud Personalization Mobile SDKs to deliver
personalized experiences inside the app or on another channel in real time. Create and deploy
one-off push notifications triggered by a visitor’s actions or behavior.
monthly unique visitors
The monthly total number of unique visitors, which consists of:
- Web or App SDK visitors
- Transaction ETL
- User ETL
- Profile Object ETL
- External Email Campaign Event ETL
- Event API (any that are stitched by identity across two or more of these sources would count as 1 monthly unique visitor)
- Suppose a website or mobile app has two million monthly unique visitors in January, four million in February, and three million in the remaining 10 months of the year.
- The monthly unique visitor count for the website from January to December is three million and is an average of the monthly unique visitors for the previous 12 months: (2M + 4M + (10 x 3M)) / 12 = 3 million monthly unique visitors
most recently published ingredient
An algorithm that uses the published date captured in the catalog. Use this algorithm to
prioritize the most recently published items or content on a site.
named individual profile
A known, identified profile created through login events, identification events, or data
ingestion. Named profiles are a cumulative metric equivalent to the total number of unique known
users captured by Marketing Cloud Personalization across all your channels since the beginning of
your contract. Examples of when a Named Individual Profile is created include:
- A previously anonymous user logs in for the first time, converting the anonymous profile to a known profile.
- You upload a database of existing profiles and identifiers.
named profiles
The monthly total number of named profiles, which consists of:
- Web or Mobile App SDK visitors (minus anonymous Web and Mobile App SDK users)
- Transaction ETL
- User ETL
- Profile Object ETL
- External Email Campaign Event ETL
- Event API (any that are stitched by identity across two or more of these sources would count as 1 MUV)
order
The number of orders placed by visitors who saw a campaign experience during the
attribution window. Orders consist of more than just product orders. Marketing Cloud
Personalization considers orders to be a goal completion on your site. Examples:
- product purchases
- content download registrations
- form submissions
- newsletter signups
- other goal completions
outbound orchestration trigger
An action, email, or message triggered in another channel, either in real time or on a
delay, as a result of another behavior, message, or action. Examples:
- A person's website behavior triggers a call center task creation.
- A visitor’s favorite product is back in stock and triggers a push message.
outlier filtering
If you’ve configured outliers in Catalog Setup > Settings, you can
exclude outliers in Campaign Statistics by switching Outlier Filtering to ON. For example, suppose
a visitor placed an exceptionally large order that far exceeded the expected deviance from the
average order value. To prevent this order from skewing the statistics for your campaign, exclude
orders outside of the general range you’ve configured. Outlier filtering is
retroactive.
path
Defines which pages on your site visitors enter on arrival, and where they go next. Use
paths to better target your communications and content strategy. For example, suppose visitors
frequently abandon a demo request form and go to any one of four other pages. Messaging them about
the demo on those four pages can help increase demo sign ups. Also, if no one enters your site on
the homepage, posting a “Getting Started” video on that page is likely not the best approach.
Paths Report
A report that enables marketers to gain insight into the flow of visitors as they
navigate through the site. This report also includes bounce rate information.
personalization
A type of activation. The premise of personalization is to understand your visitor’s
mindset and intent. Based on that understanding, you create the best experience for each visitor
as soon as they land on your site or open an email.
real time
Actions occur in less than 20 milliseconds in Marketing Cloud Personalization. As site or
app visitors, or email recipients, make different choices, or as their behavior changes, Marketing
Cloud Personalization responds instantly and seamlessly to deliver personalized experiences to
each one. This rapid response is the root of real-time personalization (RTP).
real-time interaction management (RTIM)
The ability to capture real-time consumer insights and then use them to bring true
personalization to every interaction with your brand—all in an instant. With RTIM, marketers
coordinate interactions across owned channels for an optimized, connected consumer experience.
Consumers receive the next-best action or offer at the exact moment that it’s likeliest to inspire
action.
recent visitors
The number of visitors who have been to your site since the beacon was activated, updated
in real time. A green dot indicates a visitor who is using your site right
now.
recommendation
Algorithmic configuration designed to present products and content to individual visitors
based on their unique preferences.
recommendation campaign
A type of campaign that shows information to people based on their unique preferences
driven by a set of algorithms. Typically, a recommendations campaign delivers product and content
recommendations.
referring source
Indicates how people arrived on the site so you can send customized messaging for each
visitor. You can quickly see key statistics about visitors who were referred from top sources
including referral percentage, number of visits, and revenue. Hover over the graph to see date,
time, and revenue detail. Switch to the list view to see such information as:
- bounce rate
- average visit duration
- average number of pages viewed
- average and total revenue
relevancy retained
Determines how long to include a product or piece of content in recommendations. This
calculation factors in the amount of time set for the decay age. For example, support the decay
age is 48 hours and relevancy retained is 50%. After 48 hours have passed, the recommendation
score (used to determine which items to return) reduces to half of what it was when the item was
published. If the original score was 1, after 48 hours, the score is 0.5, and it remains 0.5 from
that point forward.
results filter
You can apply a results filter when looking at Campaign Statistics. There are several
default filters listed in the dropdown, in addition to any global goals you’ve set. After you’ve
selected the filter, the campaign statistics recalculate to show the performance of the campaign
only for the visitors from the selected filter.
revenue
The total amount of revenue generated from the people who saw the campaign and then made
a purchase or a download during the selected attribution window. In reports, the revenue statistic
shows daily revenue totals and a summary of the revenue generating activities happening on your
site.