In a previous newsletter on segmentation, I suggested that marketers seeking growth should 'cross-reference multiple dimensions' of customer characteristics to delve deeper into segmentation. Several readers responded by asking how this worked and which dimensions were preferred and why.
In that previous newsletter, I had suggested then that by using multiple dimensions, one can uncover growth in smaller sub-segments. But why does this work? This edition addresses how and why using multiple dimensions is effective...
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There are two fundamental reasons why this first-step approach is so effective.
First is that different characteristics tell us different things about customers and markets. We think that debates about what is the “right” or “best” segmentation variable are often pointless. So choosing what to look at based on what you want to understand is a better approach. At the same time, starting with just one variable, is often problematic, because key information is lost. For example:
Each variable offers insights into different facets of demand. Intersecting these facets yields unique customer combinations, forming a nuanced understanding of customers. It’s a better basis for segmentation because of this, and that nuance brings with it: growth.
Acting quickly on these insights relies on the second reason. And that is that often, insight about these 3 customer characteristics is often already available, embedded in your organization. Why? Because different functions tend to gravitate to different factors.
What’s missing? The intersection. When each function thinks about customers on one dimension, and that information is not assembled, then key customer insights go unfound.
Each characteristic reveals a unique story about customers.
There are more and deeper factors for segmentation for later efforts, and we’ll discuss those in later issues. But an achievable Step 1 comes from mining what’s already known in your organization, and quickly actioning it for growth.
Until next week,
Kendall -
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