Last updated on June 11, 2020
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.
Customer Segmentation: The Types & Methods
In simple terms, customer segmentation is the process of dividing customers into groups based on certain factors
The sole purpose behind such segmentation or customer division is to improve the norms of marketing, in a way personalizing the entire process.
– Meaning that customers having similar characteristics or exhibiting similar purchasing behavior are grouped together.
Customer Segmentation can be done in a number of ways and adopting multiple approaches.
a) Value-based Segmentation
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.
b) Needs-based Segmentation
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.
c) 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:
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.
3. 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, one question that arises here is 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.
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?
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
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.
Here’s the solution
One Click Way to Customer Segmentation
One Click Way to Customer Segmentation
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.
Free RFM analysis for your business
Putler offers a free 14 days trial. You can connect different data sources to Putler and get complete RFM segmentation done for free!
But is it just the RFM factors that can be used? How about segmentation based on geography, product, or price?
Let’s see how Putler helps you do them all in detail:
Segment based on Shopping Behavior
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.
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!
Geography Based Segmentation
Pitch products based on the location of the customers.
Price Based Segmentation
Another fine example of using Putler would be to pitch products based on the price.
Customer Segmentation is not a one-time process but a long journey and a repetitive one.
Customers’ 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.
Get started with Putler free trial to test and try customer segmentation analysis and see your sales soar high.