A Brief Introduction to Power BI for Digital Marketing

Digital Marketers have to track and analyze the traffic on various websites to run targeted advertisements. At present, the average attention span of a person has been reduced to around 8 seconds. This means your ads or campaigns have to be engaging and targeted.

Marketers use hundreds of tools and techniques to create a perfect marketing campaign, social media advertisements, content strategies, and estimating marketing budgets. However, when it comes to reports and presentations, they use basic tools like PowerPoint and Excel.

Data Scientists use sophisticated tools for gathering and analyzing the data from hundreds of data sources and spend many hours building the relationship and finding hidden patterns between different data variables.

For a digital marketer, it’s really hard to learn these technical skills to create visually appealing reports. However, with Power BI, you and your team can discover new possibilities, perform ad-hoc analysis, track activities, estimate budget, create reports, and share those insights with your team members, managers, and other stakeholders. With a short Power BI Training, you can learn how to utilize Power BI features to create visualizations and share interactive reports on the server.

So, let’s see how do you get started with Power BI and create reports for your Digital Marketing campaigns:

Getting Started with Power BI for Digital Marketing

Getting started with Power BI for Digital Marketing doesn’t require you to be a technical gig. Even a non-technical user with little knowledge of Excel can create visually interactive reports and visualizations.

If you want to advance your career as a professional marketer, you can take a Digital Marketing Training course and learn various skills such as SEO, on-page optimization, Google Analytics, Social Media Marketing, Email Marketing, Google Adwords, and more. Now, let’s go through the basic steps you need to take while creating your Power BI report.

Getting Data

Enterprises generate a lot of data from different sources which can be stored in both structured or unstructured formats. Power BI brings all the datasets under a single platform.  A dataset is a collection of different data sources in the form of fields, tables, and files. Power BI has built-in connectors that allow you to connect the data from both On-premises and On-cloud data sources. You can also collect the data from other services like MailChimp, Facebook, Salesforce, SQL Server, etc.

Data Transformation

Modeling is the second stage where you transform your data based on the user’s requirements. By transforming data, you get to know how different data variables and sources are related to one another. On the Power BI desktop, you get a diagrammatic view of each variable/dimension representation of the columns of a table. Also, you can create one-to-one, one-to-many, many-to-many, and many-to-one relationships with multiple rows and columns. In addition, you can remove redundant data and add default values to empty rows or columns.

Check also: Digital Marketing Course Online in Kuala Lumpur


Once you have transformed your data into desirable blocks and data structures, you can now convert that into visuals and enhance the interactivity of your reports. Power BI provides a wide range of visualizations that allows you to represent the information in charts, graphs, maps, and more. On Power BI, you can create these visualizations by simply dragging and placing the data variables to the visualization panel.

Sharing Reports

After creating multiple visualizations, the next step is to export and share them in the form of Power BI reports. A report is a collection of visualizations accumulated on one or more pages aimed to represent the data. On Power BI, you can connect these reports to live data sources and visualize different constraints in real-time. Power BI Server is an online interface or website where you can add these reports to Power BI workspaces and share them with other users and colleagues.

Power BI Use Cases for Digital Marketing

With Power BI, you can correlate different data metrics and create dashboards to get real-time feedback on your marketing campaigns, advertisements, and Email marketing. You can create dashboards and measure the performance of your marketing campaigns in real-time. Join the Digital Marketing Training Course and learn the key concepts associated with technology to advance your career as a marketing professional.

Below are some of the important Use cases of Power BI in Digital Marketing:

  • Social Media Monitoring

Create dashboards out of reports and monitor the activity of your social media campaigns in real-time. With real-time analytics, you can learn about customers’ opinions of your product, product quality, and brand value.

  • Measuring Organic Data

Gather insights on both organic and paid datasets to find new opportunities. On Power BI, you can compare paid keywords with organic ones and calculate the Cost-per-click(CPC) for each keyword. Moreover, you can add the data from tools like SEMrush and Adwords to make accurate predictions.

  • Web Analytics

Track live interactions on your website and track your content performance for better marketing initiatives. Power BI lets you track online advertising, E-commerce sales, user engagement, and much more.

  • Keyword Analysis

With ad-hoc analysis, you can calculate the conversion rate for each keyword by creating the scatter plot diagram with a slicer. You can share these visuals with clients and decision-makers so that they can make data-driven decisions.

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