Day 2: Email Studio Overview, What is List, Data Extension, and different types of list, Data Extension?
· Email Studio Basics – Article
· List vs Data Extension –Article
· Email Studio –Video
· Email Studio Overview – Video
Power Up With Trailhead· Email Studio Basics 40 Mins – Trailhead
Lists vs. data extensions: what are the differences between them? When should you use a data extension, and when is a subscriber list enough?
I had to refresh my memory on some of the topics as I revamped our Marketing Cloud Email Specialist certification guide. Although it has been a while since I passed the certification, the memory of one tough topic has stayed with me: data extensions.
If you’re coming from a marketing automation tool where you have one single database, like Pardot or similar, then data extensions will feel like unchartered waters. In tools that have single databases, all the individual’s data is stored on their record or neatly packaged into related objects (eg. Prospect Accounts, Opportunities, Pardot Custom Objects, in the case with Pardot). Marketing Cloud Data Extensions seemed wild and untamed in comparison!
Marketing Cloud Data Extensions – In a Nutshell
Data extensions exist in Marketing Cloud to “satisfy the need for flexible data storage”. They are flexible, indeed, enabling you to essentially build a table within the app database that contains your data, exactly how you need to structure it.
When deciding if you should you data extensions or lists, it can be boiled down to a single question: does the data have a one-to-one relationship with the subscriber record, or a one-to-many relationship? For example
- One-to-one: Subscriber ID → Last Name. Each subscriber has one Last Name value, known as profile attributes (you can use a list here),
- One-to-many: Subscriber ID → Purchase ID. Each subscriber could have one or many purchases (you need to use a data extension here).
When to Use Marketing Cloud Data Extensions
There are two main use cases that immediately signal you need to use a data extension over a list:
1. Varying values over time
A subscriber can have a varying number values over time, for example, their number of transactions last month is not likely to be consistent, so it’s difficult to predict month to month. On the other hand, an attribute like ‘Last Name’ fits as a profile attribute because a subscriber will have one, consistent last name.
2. Data is related via 3rd data point
The data point you need to use is not directly related to the subscriber. It’s related to the subscriber via another data point, a 3rd data point in between that acts as a bridge. The best example that you’ll find in the Marketing Cloud resource docs is pulling in the name for a subscriber’s ‘preferred airport’; the airport code is stored on the subscriber, which can be used to lookup to the data extension that lists airport codes and their names. By using the airport code as the golden link, you can pull in the name of the airport.
When to Use Marketing Lists
To learn about Marketing Cloud Lists, read our guide here.
Marketing Cloud Lists vs. Data Extensions
For the Marketing Cloud Email Specialist exam, you need to compare data extensions and lists and know when to use each. Here are the facts in one table. The rows in the first table are absolutely essential for you to learn! (a second table goes into more detail afterward).
|Use a list when…
|Use a data extension when…
|Will contain less than 500,000 subscribers
|Will contain more than 500,000 subscribers (think long term!)
|Don’t require fast-import speed
|Require fast import speed
|Use a limited no. subscriber attributes
|Use multiple subscriber data sets (with separate definitions)
|Use the XML API
|Use the SOAP/REST APIs
|– Email sending only. – Emails without transactional data (ie. simple segmentation and personalization based on attributes stored on the Subscriber record)
|– Send global messages – Implement triggered sends
|Prefer a flexible subscription model (obviously you don’t have a choice when faced with certain requirements!)
There is another comparison table that you should learn. What you see below is a distilled version of this table published by Salesforce that used to revise for the exam; if you are starting out, I recommend you refer to the original table that goes into more depth.
|*In-app 1. Name it 2. Determine if public/not public (ie display in subscription center)
|1. Name it 2. Create fields 3. Chose sendable/not sendable
|Quick import (Import wizard)
|Single record add
|No manual add feature but can be done via API calls
|– Add & update – Update only – Add only
|– Overwrite – Add & update – Update only – Add only
|List detective scrub
|At time of import
|At time of send
|Use to manage subscriber-level opt-ins/outs
|Can create via UI (For Enterprise accounts: can share attributes amongst all BUs, values stored are global) Data types: Text, numeric, date, boolean
|Data extension fields
|Subscriber data fields stored at the data extension level – ie. making them just like list-level attributes Data types: Text, numeric, date, boolean, email, phone, decimal, locale
Long-time Salesforce admins are often surprised that the average marketing professional does not “see” Salesforce objects and records the way they do. For those steeped in admin life, objects, records and record types naturally produce logical connections. Yet, most marketers see the world in logos, images and style guides.
Taking a visual user like a marketer and putting them in front of a detailed interface like we see in Salesforce Marketing Cloud Data Designer and Data Extensions can be incredibly overwhelming, ultimately creating adoption issues for your Marketing Cloud implementation.
By leveraging Marketing Cloud’s drag-and-drop capabilities to the max, we can turn the user-friendly experiences highlighted by sales demos into reality.
What are Data Extensions, and why are we avoiding them?
Salesforce Marketing Cloud stores data within its system as Data Extensions. You can think of this as a spreadsheet with column headers and rows of details. Contact Builder allows you to organize and link a variety of data extensions into a hub-and-spoke organizational model. This allows for organizations to link together things like shopping cart data with CRM data and beyond.
Salesforce has made it really easy for us to access all that powerful data stored within the Salesforce cloud, via a mechanism called Marketing Cloud Connect. After setting up these connections, Marketing Cloud allows administrators to choose the Sales Cloud objects that will be synced to Marketing Cloud, along with any necessary filters for your operations (aka Business units).
An FYI to those who have been around for a while: Marketing Cloud Connect has undergone significant (re)development in recent years, which has resolved many of the instability and authentication issues users experienced in the 2010s. Today, it’s much more stable and useful than ever, and given the power of interrelated data sources, it’s the key element in our shift to more robust and effective data management models.