Hands-On Examples, Without code
Good customer data analytics isn’t just collecting data, but also gaining actionable insights and acting upon them.
For example: Should you offer customers a 3%, 5%, or 7% discount on their next purchase or even lower the base price?
Which feedback is the most crucial to improve product and sales among surveys, reviews, or website behavior?
In this example, I’m using a no-code tool to analyze feedback sentiment in less than 30 seconds.
Here is how this would look like in Google Sheets.
Sheets is a great tool, but not for everything. Coding has a steep learning curve, and thanks to the growing no-code movement there are many new and exciting alternatives to choose from.
Where To Start
Marketers invest the majority of their time digging through countless pages of data. This doesn’t just create mental fatigue, it’s prone to lead to errors.
Research shows that more than 30% of marketers are simply overwhelmed. They are swarmed with unclear workflows, seas of data, and contradictive instructions on what to do.
What does Apple, Tesla, and Ford have in common? Streamlined manufacturing and simplicity by design. Analyzing customer data is no different.
- Begin with the simplest datasets still covering everything you need to make an informed decision.
- Create a feedback loop between generating user data, interpreting it, taking action, and measuring the consequences.
- There is no three.
Let’s say we are tasked with analyzing a dataset with millions of rows. Just the thought of what formulas organizing such a behemoth would take is daunting.
Now let’s look at a comparison of advanced logic in code versus a drag&drop tool using the publicly available Unsplash dataset.
By simply uploading my csv I can instantly tell which the top cameras and models are, where they come from and how clean the data set is.