Data Views Marketing Cloud – The data view includes membership and travel information for the last six months. However, this data cannot be accessed first in the Marketing Cloud UI, but must be retrieved using SQL. It might sound daunting to a non-techie, but in this step-by-step guide, we won’t just touch on email KPIs like click-through data. In addition, an initial check will be made to ensure that your data extension contains more than six months of data.
First of all, a container is needed for the click data. For this, data augmentation is created. This can be done as follows:
Data Views Marketing Cloud
The generated column names are named exactly as in the official Salesforce documentation. But at the end, another field is created with text of type “PKey” and marked as primary key.
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Automation consists of a schedule (1) and SQL queries (2). The schedule defines the time frame in which the automation works. In this example, daily is selected.
The SQL query extracts information from the _Sent data view in our data plugin. The question itself is:
SELECT AccountID, OYBAccountID, JobID, ListID, BatchID, SubscriberID, SubscriberKey, EventDate, Domain, TriggererSendDefinitionObjectID, TriggeredSendCustomerKey, CONCAT(SubscriberKey, JobID) AS PKey FROM _Sent
The target data plugin is in step a) one created and the data process to be “updated”. Update finds a primary key and updates it if it already exists. If none are found, a new row is created. A “PKey” in SQL is uniquely defined using SubscriberKey and JobID. Each job can send one email to different subscribers only. Therefore, the combination is always unique. In this way, data over 6 months can be stored in data intervals. Copy the field according to the Salesforce documentation for other data views and add the last line of SQL according to the table below:
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Using the Submitted Data view as an example, we’ve now shown how data comes from Marketing Cloud into a usable data plugin. This data can be automatically aggregated to enable reporting within Salesforce or other systems. In our case, the sent, open, click, bounce, and cancel data views and the SQL COUNT and GROUP BY functions can be used to generate a KPI report of each activity.
And that’s it! I hope I can give you a little insight into data views and how to use them. 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 like the Einstein Analytics Connector or the Marketing Cloud REST API can use data plugins and in this way data from data views can also be used for reporting.
As a Salesforce enthusiast with a distinguished history as a Salesforce user, manager, and consultant in the financial, service, and information technology industries, Salesforce Marketing Cloud has many use cases for collecting and converting email tracking data, typically related to needing to send tracking data in a given format to external systems. , such as databases and data warehouses. We will use the Salesforce Marketing Cloud data views to capture all email details, opens, clicks, bounces and unsubscribes, as well as subscription details.
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Before we start with the query, let’s first create a target data extension to hold the results. The data extension must include the following columns and must not contain primary keys. It also does not need to be shipped or inspected.
When working with data from data views in SQL, it is important to correctly join data from different tables. Although the diagram below shows the common columns that can be used to add data
, you actually need to include more than these two columns to get accurate results from your queries.
This is especially important for sending travel brochures, where each email sent individually will be different.
Salesforce Marketing Cloud Integration
Pricing is fixed, so if the same person enters the same ride multiple times and receives the same email multiple times, you may end up with inaccurate tracking data if you just opt-in
The most reliable way to join tracking data from data views is to actually use all the common column names present in the _Sent, _Open, _Click, _Bounce and _Unscribe tables, as in the example below, where we join.
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On s.jobid = o.jobid and s.listid = o.listid and s.batchid = o.batchid and s.subscriberid = o.subscriberid and o.isunique = 1
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On s.jobid = c.jobid and s.listid = c.listid and s.batchid = c.batchid and s.subscriberid = c.subscriberid and c.isunique = 1
In our query, we’ll add some subqueries that will allow us to get the total number of opens, clicks, and URLs sent to each email subscriber. Below is a breakdown of the three questions.
For our final query, we’ll collect data from all the data views mentioned above with three subscribers and add one more so we can add _ListSubscribers to the data view. If you are running this query in a child BU, be sure to use
You can now automate this query in Automation Studio and repeatedly export the results and send them to FTP for use by external systems. Marketing Cloud Data Views, simply put, are built-in Backend Data extensions. . It is generally used to obtain information about your subscribers and to use this information for future analysis. Although you can’t change Marketing Cloud data views, you can still use their data in SQL queries for reports. One of the best marketing cloud data visualization providers is Salesforce Marketing Cloud.
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Are you using Salesforce Marketing Cloud for your marketing analytics? Do you want to work with Salesforce Marketing Cloud Data View? If yes, then you are in the right place. In this article, you will learn about Salesforce Marketing Cloud, its features, and its products. You can also visit Salesforce Marketing Cloud Data Views for details.
Salesforce is the most popular and trusted CRM (customer relationship management) platform. As we know, the cloud plays an important role for any business, so here you can use Salesforce in the cloud with minimal subscription fees.
Salesforce Marketing Cloud is a digital marketing automation platform that provides marketing analytics software and services. Salesforce Marketing helps digital marketers target the right potential buyers or audience.
Salesforce Marketing Cloud allows you to connect and personalize each customer to increase sales. To this end, Salesforce Marketing Cloud provides various products, as shown in the figure:
Salesforce Marketing Cloud Open/click Awarding
Hevois is a codeless data pipeline. It supports out-of-the-box integration of data from 100+ data sources, including Marketing Cloud among 30+ other free sources. Hivo offers a fully managed solution for your data transfer process. It will automate your data flow in minutes without writing a single line of code. The fault-tolerant architecture ensures that your data is safe and consistent. Hivo provides you with a truly efficient and fully automated solution for real-time data management and you will always have data ready for analysis at your destination.
Cloud marketing data visualizations are a powerful feature of Salesforce Marketing Cloud. It stores subscriber information and tracking information for the last six months. You can write a query to get the result of this stored information.
Marketing Cloud Data View provides data and metrics that help you perform effective analyzes for marketing strategies. You can identify how this data is relevant, what it relates to, and get the most out of your Marketing Cloud data.
The data visualization documentation contains all the necessary information about tables, views, column tables, and table data types. The snapshot below contains details of key tables and their columns.
Data Views Marketing Cloud Integration
You can query _bounce data to display bounce data for email in Automation Studio in Salesforce Marketing Cloud.
Contains details about the trip builder, such as the status of the trip when it was created, modification, version and number.
As you know, the data view includes subscribers, and their travel details for the last 6 months, so you can’t see that data directly in the data view. To view this data, you need to extract the data using SQL Query.
A container is required for click data, and for that you need to create a data plugin. Here are the steps to create a data plugin.
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Automation at its core – SQL queries and schedules. The schedule basically defines the time frame in which this query should run in the automation.
Data views provide an advanced feature in Salesforce Marketing Cloud for analysis. As you can see, you can’t display Salesforce Marketing Cloud Data Views data in the UI, you have to use SQL queries. Therefore, knowledge of SQL queries is essential while working with data views. But, if you want to integrate your marketing data
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