1 | Data Analytics Explained | The Importance of Data Segmentation

Data analytics play a decisive role in business growth. Here's why:

Knowing what data you should track, narrows your digging through analytics.

Knowing where to dig saves your time.

More time means better focus.

Better focus means you'll understand your data better.

Understanding your data means you'll be able to find hidden revenue opportunities, and detect what's working and what's not.

But, what if you're already doing this, making data-driven decisions, and still not getting results you want? Well, then you're probably not segmenting your data correctly.

Data segmentation is a crucial step in the data analytics process. Why?

Because the averages lie.

They represent the accumulation of many different moving parts. This is why averages are not actionable, and they won't bring you closer to achieving your goals.

So, how do you escape these false, general percentages?

You segment it.

Here's how:

Say you're tracking your audience data. Instead of analyzing overall traffic, break it down by channels. And don't stop there - break down those channels by device types. How many of them are coming from desktop, android, iPhone, etc.?

Then start asking questions like:

What are the actions that one segment takes, and the other doesn't

How do they differ in terms of engagement rate?

What about the conversion rate?

The more you break it down - the more precise answer you'll get. Once you see that something is performing better, you'll be able to ask yourself: "Why?"

This will help you decide on the next course of actions. It will tell you exactly:

Where and how should you invest your money,

What should you optimize,

Is there something you should fix,

Should you do an A/B test.

There's no reason for wasting time making the wrong decisions based on averages. Start segmenting your data, and start finding new opportunities for increasing revenue today.

If you need any help starting, feel free to contact our team.

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