Salesforce Marketing Cloud Data Views

Salesforce Marketing Cloud Data Views – Marketing Cloud Data Views are, quite simply, built-in backend data extensions. It is generally used to obtain information about your followers and use this information for further analysis. Although you cannot modify Marketing Cloud data views, you can still use their data in SQL queries for reporting. One of the best Marketing Cloud data view providers is Salesforce Marketing Cloud.

Do you use Salesforce Marketing Cloud for your marketing analytics? Interested in working with Salesforce Marketing Cloud Data View? If so, then you are at right place. In this article, you’ll learn about Salesforce Marketing Cloud, its features, and its products. You’ll also learn in-depth about Salesforce Marketing Cloud data views.

Salesforce Marketing Cloud Data Views

Salesforce Marketing Cloud Data Views

Salesforce is the most popular and trusted CRM (Customer Relationship Management) platform. As you know cloud plays a vital role for any business, so here you can use Salesforce on cloud with low subscription fee.

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Salesforce Marketing Cloud is a digital marketing automation platform that provides marketing analytics software and services. Salesforce Marketing helps digital marketers target the exact potential buyer or audience.

Salesforce Marketing Cloud enables connection and personalization for every customer to increase sales. For this, Salesforce Marketing Cloud provides different products as shown in the diagram:

Data pipeline without Hevois code. It supports integration of pre-built data from 100+ data sources including Marketing Cloud among 30+ other free sources. Hevo offers a fully managed solution for your data migration process. It will automate your dataflow in minutes without writing any code. Its fault-tolerant architecture guarantees the security and consistency of your data. Hevo provides you with a truly efficient and fully automated solution to manage data in real time and always have data ready for analysis at your destination.

Marketing Cloud Data views are a must-have feature of Salesforce Marketing Cloud. It stores subscriber and tracking information for the last six months. You can write a query to get the result of this stored information.

Salesforce Marketing Cloud (sfmc) Triggered Email Integration

Marketing Cloud Data Views provides data and metrics that help you create powerful analytics for marketing strategy. You can find out how this data is connected, what its relationships are, and get the most out of your cloud marketing data.

The Data Views documentation contains all the necessary information about tables, views, table columns, and table data types. The figure below contains the details of the important tables and their columns.

You can query _bounce data to view email bounce data in Salesforce Marketing Cloud in Automation Studio.

Salesforce Marketing Cloud Data Views

Contains details related to the creator of the trip, such as the status of the trip when created, edited, version, and number.

Lead Scoring And Website Tracking For Salesforce Marketing Cloud

As you know, data views contain subscribers and their travel details for the last 6 months, so you cannot view this data directly in the data view. To view this data, you must extract the data using the SQL query.

Click data needs a container and for that you need to create a data extension. Below are the steps to create a data extension.

Automation mainly in the form of SQL query and scheduler. The schedule basically defines the period during which this query should run in the automation.

Data Views provide advanced functionality for analysis in Salesforce Marketing Cloud. As you can see, you cannot view Salesforce Marketing Cloud Data Views data in the UI, you must use an SQL query. Thus, knowledge of SQL queries is a must when working with data views. But if you want to integrate your marketing data for in-depth analysis of advertising and marketing campaigns, try Hevo.

Working With Marketing Cloud Data View: A Comprehensive Guide

Data pipeline without Hevois code. It supports prebuilt integration from 100+ data sources, including 30+ free sources like Salesforce Marketing Cloud. Hevo will fully automate the flow of your data from your source to your destination and provide simplified analysis.

SIGN UP and experience the feature-rich Hevo package first-hand. You can also view unbeatable pricing to help you choose the right plan for your business needs. Data views contain subscriber and travel information for the past six months. However, this data cannot be retrieved natively in the Marketing Cloud UI, but must be retrieved using SQL. It might seem daunting to non-techies, but in this step-by-step guide, we’re not just going to extract KPIs from emails like click data. Additionally, a primary key will be generated to ensure that your data extension contains more than six months of data.

First we need a container for the compression data. A data extension is created for this purpose. This can be done under:

Salesforce Marketing Cloud Data Views

The generated columns are named exactly as in the official Salesforce documentation. But in the end an extra field “PKey” is created with data type text and marked as primary key.

Salesforce Marketing Cloud Automation Studio

The automation consists of a schedule (1) and an SQL query (2). The schedule defines the period during which the automation runs. In this example, daily is selected.

The SQL query pulls information from the _Sent data view into our data extension. The query itself is as follows.

SELECT AccountID, OYBAccountID, JobID, ListID, BatchID, SubscriberID, SubscriberKey, EventDate, Domain, TriggererSendDefinitionObjectID, TriggeredSendCustomerKey, CONCAT(SubscriberKey, JobID) AS PKey FROM _Sent

The target data extension is the one created in step a) and the data action should be “Update”. The update looks for a primary key and updates it if it already exists. If none is found, a new row is created. In SQL, “PKey” is uniquely defined by SubscriberKey and JobID. Each task can only send one email to different subscribers. The combination is therefore always unique. This way it is possible to store data older than 6 months in the data extension. For other data views, copy the fields according to the Salesforce documentation and add the last line of SQL according to the following table:

Salesforce Marketing Cloud Integration

Using the submitted data view as an example, we have now shown how data is transformed from the Marketing Cloud backend into a usable data extension. This data can optionally be combined to generate reports in Salesforce or other systems. In our case, the data sent views, opens, clicks, skips and subscriptions, as well as the COUNT and GROUP BY SQL functions can be used to generate a KPI report for each job.

And that’s all! I hope I can give you a little insight into Data Views and how they are used. If you have any suggestions or questions, please leave a comment.

Salesforce Marketing Cloud uses Data Extensions as a data source for other systems. This means that connectors such as the Einstein Analytics connector or the Marketing Cloud REST API can use a data extension, and data from data views with this methodology can also be used for reporting.

Salesforce Marketing Cloud Data Views

A Salesforce enthusiast with a demonstrated track record as a Salesforce user, administrator, and consultant in finance, services, and IT Data Views are a metadata table of Salesforce Marketing Cloud data. Simply put, it is data generated by an event system such as email. email and SMS sends, email opens, link clicks, and user subscription or unsubscription events.

Uncommon Marketing Cloud Data Views

Data views also store user data, such as forwarded emails. e-mails, the status of your subscribers and certain e-mails. These data points are stored in different tables.

You may have used multiple data views before, but did you know that Marketing Cloud currently offers 23 different data views? The image below, from the sfmarketing.cloud blog, illustrates these Data Views more clearly:

Image source: Data Views in Salesforce Marketing Cloud by Zuzanna Jarczynska. A high quality PDF is available by visiting their article.

Using the BusinessUnitUnsubscribes data view, you can find the unsubscriber for each business unit. You can even track the time of the unsubscribe event and the reason given by the user. However, there is a downside to using this data view. this can only work on the parent account. 2. _Travel

Query Studio For Salesforce Marketing Cloud

Using course data views, you can check the course status, creation date, last modified date, and other general information about the course. 3. _Sms undeliverable

Using the UndeliverableSMS data view, you can find messages from Marketing Cloud MobileConnect subscribers that have not been delivered. 4._FTAF

Using FTAF Data View, you can check the forwarded emails of your subscribers. email information. You can also check the delivery time of the email and the recipient’s email address. address domain name. 5. _Complaint

Salesforce Marketing Cloud Data Views

Using the Complaint Data view, you can view subscriber spam complaint data for emails sent from your Marketing Cloud account. You can check subscriber ID, complaint time, domain name and other information. 6. Bounce Magical Data View

Do You Sql? Salesforce Marketing Cloud

In our research on Data Views, we came across this Stack Exchange answer which talks about two Data Views that have yet to be mentioned in the official documentation.

Views of this data are not available from the Marketing Cloud user interface. Instead, you can access them by running an SQL query against these tables using the SQL activity in Automation Studio or Ampscript search.

Here is an example of getting a list of all subscribers who clicked on a sent email

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