All Customers Are Not Created Equal. Here Are 16 Ways How They Are Different.

Segmentation allows you to target specific customer traits and maximize relevance of your marketing communication for maximum conversion.

Unless you are selling mass-market products, you classify your broad audience based on common features– geographic, demographic, behavioral, psychographic, firmographic, whatever – you are only limited by your customer intelligence. You can now focus your campaigns to people who are most likely to buy. And have multiple differentiated campaigns to target different segments.

According to McKenzie’s Next in Personalization 2021 survey, 76% of customers are more likely to buy from brands that personalize. 78% are more likely to make a repeat purchase. And 78% said they recommend brands that personalize communication. The writing is on the wall. In 36pt bold face.

Segment. Or risk oblivion.

But you already know this! Which is why you are here looking for ideas. We are delighted!

I believe…

Xerago prides itself on its customer segmenting skills. We have honed an almost intuitive insight into segmentation by just those features that almost always work. Oh! We have managed 1000s of campaigns, over 15+ years, before we got here. And there are still miles to go.

Xerago believes every well-planned campaign should have an equal chance to succeed. In a world of bewildering choices, we think customers have a right to know of products and services that are just right for them. And we believe enterprise brands that take the trouble to find out, demonstrate this belief.

So, we are particularly pleased to share this demographic and psychographic segmentation model we use as a primary filter on existing e-commerce customers. It focuses on segmentation by proximate engagement history.

If you are an e-commerce brand running campaigns targeted at shoppers. And are considering options to add heft to your product recommendation campaigns. This resource will give you 16 ways to behaviorally slice customer purchase frequency data. You can deploy them quickly. You don’t need any serious analytical skills.

Buy Buy. Or bye bye.

The resource document that you are here to download has methods to classify customer by buying habits. From the most frequent buyers to the least. And everyone in between.

At one end, it helps you identify customers who already have a proclivity to buy from your online store. They are the low-hanging fruit. Your marketing strategy acknowledges them and asks how you can help them to make better choices.

At the other, it also helps identify the one-time purchaser. And build a campaign to say you miss them, ask why they are not back, and promote ways to get them back into the fold.

Exciting thought processes inside!

You look like a kindred soul. (Segmentation at work? :-D) So, before you download our resource, please fill up the short form so we know a few things about you. Thanks for stopping by to check us out.