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Quick Guide to Customer Segmentation: Definition, Types, Methods, Pros, Cons and Solution

What is Customer Segmentation? Learn about the types, methods, benefits, ways to use, and a simple tool to help segment customers within seconds.


Last updated on January 13, 2022

Imagine pitching premium products to customers, who hardly visit your store, will that help? Of course, this won’t. Or say, there is a female customer X whose past purchase history reflects the inclination towards cosmetics and you are notifying her about men’s accessories, again does this generate leads?

It doesn’t. In fact, you will only shoot up the marketing expenses with minimal or no returns. This is where the idea of customer segmentation analysis peeps in. This guide is specifically designed to educate you on customer segmentation and how does it help optimize your marketing efforts.

What is Customer Segmentation?

customer segmentation analysis

In simple terms, customer segmentation is the process of dividing customers into groups based on certain factors.

Meaning that customers having similar characteristics or exhibiting similar purchasing behavior are grouped together.

The sole purpose behind such segmentation or customer division is to improve the norms of marketing, in a way personalizing the entire process.

Customer Segmentation can be done in a number of ways and adopting multiple approaches.

What are the methods for carrying out Customer Segmentation?

Segmenting by value

As specified by the term, value-based segmentation is differentiating customers with respect to their economic value. Users possessing similar economic standings would be clubbed into a single group and marketing initiatives would be then targeted as per the norms.

Segmenting by needs

This demarcation is based on specific needs as expressed by the customers for a particular product. For instance, customers that show interest in buying a particular product during a specific time are segmented in a particular group.

Priori Segmentation

If you are looking for something more generic and on a broader basis, priori segmentation is one of the simplest forms of customer segmentation analysis and is based on the size of the industry/organization.

Following a similar analogy, the customer segmentation process could include the following base factors:

What are the Common Types of Customer Segments?

Types of customer segmemnt
Types of customer segments


Segmentation of customers based on their age, occupation, gender, income, etc is demographic demarcation. Imagine having a separate group of customers that have females of age 18-28. Separate marketing strategies are used to target each of the groups.


This is the line drawn between people belonging to the state/city/region/country.

Behavioral Data

Such kind of differentiation is basically driven by the purchase pattern and spending behavior of customers. There will be few who are more inclined towards premium products whereas some would always look for the cheapest products.


Psychographical segmentation is described based on the lifestyle and personality of people. Imagine a few ordering organic products frequently. So, your store can then have a well-personalized marketing strategy to target customers belonging to a particular segment.

How segmentation saves marketing efforts/costs and generates high RoI

With that being said, questions that arises here are:

  • Why is it important to have customer segmentation analysis?
  • How does the method affect marketing efforts?

It is pretty clear by now that customer segmentation is all about grouping your customers in a way that ones with similar characteristics lie under the same segment. Once done, the marketing team can then draft plans and marketing strategies specific to a particular group.

For example

 Customer segmentation helps marketing teams plan better
Customer segmentation helps marketing teams plan better

Suppose that you have planned to advertise an end of season sale with hefty discounts on books and relatable items.

Now, instead of pitching the offer to all of the customers, you can leverage from the groups created.

An in-depth customer segmentation analysis would help you locate customers that are a frequent buyer or have, at some point in time making a purchase.

Specific deals and customer-based offers can be created to target the customers.

Not to forget that targeting the right product to the right customer leads to better sales. It’s like giving them what they want.

Benefits of Customer Segmentation

  • Improving your whole product: Customer segmentation helps you better understand your customers and their needs. You can use this learning in improving your product and increase the satisfaction level of your existing and new customers.
  • Improving marketing message: Similar to improving the product, customer segmentation also helps you laser target your marketing messages and in the bargain increases conversions.
  • Allowing your sales teams to perform better: By understanding your customer segments, your marketing team easily create strategizes for them. Customer segmentation provides marketers all the information they need to pitch products, create sales pages, write emails etc and they no longer need to resort to trial and error. This not only saves time, energy, and money but also leads to an increase in profits and revenue.

Summarizing the above, consumer-based marketing helps personalize the offerings, etching higher sales and boosting results.

Why RFM is the preferred customer segmentation method?

Irrespective of the type of business you are in and the marketing plan adopted, a single factor for segmenting customer isn’t right. It could so happen that you have a customer that made a high-value purchase. If you segment customers based on the monetary pricing, he/she might rank first.

What if the purchase was made long ago and is the only purchase made, will targeting the customer help you? Odds are you won’t even get a click open rate. Hence, the RFM method.

RFM stands for

  • Recency: When was the last purchase made?
  • Frequency: how often does the customer initiates a purchase?
  • Monetary: the value of the goods purchased?

Read more about RFM segmentation

This is the best way to segment customers as it considers all the important parameters like recency, frequency and monetary before categorizing customers into various groups.

Now that we know the best segmentation strategy let’s look at how to do it practically.

Difficulties in doing Segmentation manually

Juggling tasks
Juggling tasks

As easy as all of this seems to be, they are packed with challenges and bottlenecks.

  • No matter how efficient you are in your calculations, there might arise technical errors or irrelevancy of data.
  • It might so happen that the data you have is months old and valueless today.

NOTE: It is important to take all of this into consideration while working on customer segmentation analysis.

Carry out Customer Segmentation within seconds using Putler

Putler Reporting Overview

When you are a business owner and have thousands of customers, segmenting them manually would do no good.

Here comes the role of Putler in the picture.

A dedicated RFM analysis and segmentation tool, it helps you set up different rules and charts to find your best value customers. It has an intuitive dashboard that helps you select the period for which you wish to have the chart displayed.

But is it just the RFM factors that can be used? How about segmentation based on geography, product, or price?

Customer segmentation examples: How does Putler help segment customers?

Segment based on Shopping Behavior

Putler's RFM Chart
Putler’s RFM chart

Ever felt the need to export the list of customers segmented based on their shopping behavior and send them marketing campaigns? Then Putler’s RFM segmentation is the best for you.

Imagine the loads of work you need to do when pitching email marketing campaigns. Don’t worry. Putler cuts the whole process and comes up with an optimized approach. For instance if you have come up with some exciting holiday season sale and offers, Putler allows you to have a high end view of the figures and the conversion rates so that you would know which segment to target and how.

For example

Putler is already integrated with your eCommerce store and payment gateways, it segments your customers based on how recently they purchased from your store, how frequently they purchase and what monetary value they have contributed till date to your store.

All you need to do is design the email marketing content and either send the targeted RFM segment email direclty from Putler or export the segment and send them an email from your ESP.

No more spreadsheets. No more manually segmenting. And no more hassles.

You simply concentrate on strategies, reducing churn and increasing your revenue.

Cool right? Let’s go to the next form of segmentation that Putler provides…

Product based segmentation

Nothing to worry here, because Putler has an easy to use dashboard that gives you the option to locate for customers that have purchased similar products!

customer segmentation based on products
Product based segmentation

For example

Suppose you need to send emails to customers that purchased a mobile phone in say, the last three months.

All you need to do is simply visit the dashboard, filter results for the duration of the last months, and then search for the product.

The results generated would display customers that have purchased that product in the said time span. Easy, right?

Geography Based Segmentation

Pitch products based on the location of the customers.

customer segmentation based on location
Location based segmentation

For example

Suppose that you are planning to have a special offer for the 4th of July. Now, this has to be targeted only to the customers of the US. In case, you follow the conventional method, it would be pitched to all. Hence, Putler.

The Putler dashboard gives you the ease to segment customers based on the location. What you can do is visit the page, filter results based on the location, and then target your email offer to the generated list.

Price Based Segmentation

Another fine example of using Putler would be to pitch products based on the price.

customer segmentation based on pricing
Price based segmentation

For example

Imagine hosting email campaigns for higher-priced products, say: a laptop or a fridge or an iPhone. With the help of Putler, you can run a search operation based on the price range. The platform would filter the names of all those who have made a purchase in the given range. Once you have the list of your premium customers, you are now good to go. Not to mention, such segmented targeting yields better results and higher sales.

6 Practical ways to use customer segmentation in business

Now that you know how Putler helps you segment customers based on different parameters (easily), here are some ways you can actually use the customer segments.

Practical Ways to Use Customer Segmentation
Practical ways to use customer segmentation

Send out targeted emails based on Customer’s shopping behavior

For this, we will use Putler’s RFM segmentation. The reason being, RFM segments customers based on their buying behavior.

You could send out multiple targeted emails like:

  • Send out time-limited discount coupons for people who are in the hibernating segment and tempt them to make a purchase
  • Send out store credits to segments who are lost, about to go to sleep.
  • Build better customer relationship with your loyal, champion segment.

Collect feedback

Feedback is always a great way to get some valuable insights from your customers. You can collect feedback from two segments namely New Customers and the Customers that asked for a refund.

  • New customers – You can easily find out your new customers by going to Putler’s Customer Dashboard and selecting the Customer Type Filter as New. Remember to keep the date period as 90 days. And send out a feedback email for everybody who has been your customer for at least 30 days.
  • Refunded customers – For this, go to Putler’s Sales dashboard and select the Status filter as Refund. Send them an email asking them about the reason for the refund. Hear out their concerns and find a way to address them.

Convert lost leads

By lost leads, I mean customers whose subscription has gone in the Failed state. You can find this segment within the Transactions Dashboard and select the Status filter to Failed. You can send them the steps to reinitiate their subscription and in the bargain close some more sales.

Run festive discounts

For this you can use the location based segmentation within Putler. You can go to the Sales Dashboard, select the Location filter to whichever country that has a festival coming up. Say select Ireland and send out festive discount to all your customers from Ireland during St. Patricks Day.

Upsell relevant products

Suppose you have a new improved variant of a product A or you have a complementary product to product A, go to the Customers Dashboard, select the Product filter as A and send out an upsell email to everybody who has purchased product A. Since it a relevant upsell, there are chances there your segment will purchase the new offering. Thus increasing sales.

Welcome new customers

Similar to feedback emails, you can send out Welcome emails to new customers who have just joined your business. Again go to the Customer’s dashboard, select type a New and keep the period as a week/month and send out welcome emails to the new customers.


Customer Segmentation is not a one-time process but a long journey and a repetitive one.
Customer’s buying behavior keeps changing and in order to unleash the true potential of the process, it is best to keep refining your segmentation list and modulating customers based on different factors.

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