Let’s first take a look at common definitions in Sales/Website Data and where you can find them in your marketing platforms.
In our last article, we talked about where to find Ad Cost & Website Session Data on platforms such as Paid Search and Youtube Ads. Now, we’re going to see how we can bring it together on our dashboard with unique calculated metrics.
First though, let’s take a look at the calculated metrics we’ve done and how far we’ve come in our analytics journey.
We’ll see where we can find them on common marketing platforms, and then figure out a way to piece them together for further insight and analysis.
Let’s get started!
We also learned that it’s possible to calculate new metrics and visualizations, such as CAC (Customer Acquisition Cost) from these previous metrics.
In this article, we’re going to be exploring how we can visualize another important formula – Return On Ad Spend – which is possible across all platforms through holistic data. Take a look at our last article to see which metrics make up this calculated metric.
Here are the topics to cover today:
Today we’re going to be taking a look at this metric and everything we can do with it.
According to Forbes, choosing your metrics and seeing how they can be analyzed is one of the most important parts of any business.
In our last article, we talked about where to find spend on various marketing platforms, and what that looks like aggregated.
Now we’re continuing with that and going deeper…
The bane of every digital marketer, yet also the greatest potential blessing.
Today, we’ll be taking a look at what the exact meaning of this metric is, where you can find it in all your social platforms, what it would look like aggregated and why we would do that.
Ultimately, this will give you a broader understanding of marketing metrics and take your analysis to the next level.
Today we’re going to be talking about how data blending in marketing can enhance results. We’re going to show you examples of exactly what we mean and how those results can directly impact your business.
Let’s take a look at some of the most commonly used ones in marketing. Data Visualization tools are used to see data in a meaningful way that makes it easier for robust decision-making. We’ll discuss their pros and cons, and judge them from a data visualization and analysis standpoint.
In this article, we’ll talk about implementation: how to approach the different steps of implementing a marketing data strategy from a practical view. Let’s take a look.