How To Understand Data Analytics in Marketing

The word "analytics" can make some people shudder but analytics are actually a wealth of information for digital marketers.

Why should you be collecting analytical data in the first place?

Regardless of whether you are spending time or money--or both. These are important commodities that need to be utilized in a smart manner.

You wouldn't waste time or money on something that does not provide any return and analytical data can help gauge those answers.

Whether you are addressing website analytics, email analytics, or social media analytics, all data should be evaluated.

Typical scenarios that can help digital marketers when it comes to analytical data can be: -Seeing the bounce rate of users on each web page to see how web pages or landing pages are performing.
-Discovering what type of social media posts create the most engagement with your target audiences.
-Deciding what email campaign you created performed better based on open rates.
-Creating and updating buyer personas based on demographic data collected from engaged users.

You will have to sift through numbers, create tests, and analyze consistently as you continue to build a successful marketing strategy but using analytical data provided by key analytics platforms can create a full picture of focus points where your time, energy, and money are being well-spent and provide a positive return-on-investment.

How do you utilize data analytics in your business?

Analytics can seem intimidating when you look at it all at once but analytics also play an important role with understanding how your efforts in marketing and other publicity are working out.

If you take some main components of your analytics and separate them, you will be able to understand on the individual level and then be able to read your analytics in a more holistic approach.

An example of how you can learn is by looking at some analytics like demographic data, website data, and keyword data separately and then put them together.

Say, you see that women between the ages of 45-60 visit your website after searching for the target keyword "floral arrangements" and most go to the page for anniversary floral arrangements. These are three separate pieces of anaytical data but can paint a story of who your main audience is, what they are looking for, and how to continue to keep them as a customer or convert to a customer.

Analytics in mass can be intimidating but take each piece and write a story with it to create a more easily understood analytical story on your website.