Monday, 19 April 2021

How to Identify Retail Target Market & Dimensions for segmentations (Retail Strategy 19 / 20.04.2021)

How to Identify Retail Target Market

A target is a group of existing or new buyers of a product / service.

There exist three types of markets:

1. Consumers,

2. Industrial and

3. Re-seller.

But a retailer is concerned about only consumers market and is usually known as retailer’s target market. While identifying a target market, a retailer needs to look at the:

(a) ability of firm’s resources and

(b) the future potential of the segment.

Further, the kind of investment that would be required and the kind of profits that could be earned are looked into. After having divided the market into various segments, the retailers now need to decide on dimensions for segmentation he is going to cater to.

 

Dimensions for segmentations:

The Dimensions that are commonly used for segmenting the market are:

(1) Demographic,

(2) Geographic,

(3) Psychographic and

(4) Behavioural.

 

These dimensions can be used individually to segment a market or the combination of any two or more at a time, for example, a retailer may use a geographical dimension to locate its trading area, a psychographic dimension to divide buyers into different groups and behavioural dimension to understand their buying practices (consumer behaviour).

 

These are discussed as under:

(1) Demographic segmentation involves dividing the market on the basis of statistical differences in personal characteristics, such as age, gender, customs, traditions, belief, income, life stage, occupation, and education level. Clothing manufacturers, for example, segment on the basis of age groups such as teenagers, young adults, and mature adults, college goings, aged. Jewellers use gender to divide markets. Cosmetics and hair care companies may use race as a factor; home builders, life stage; professional periodicals, occupation; and so on.

 

These variables are listed as follows:

(i) Age

(ii) Gender

(iii) Family size

(iv) Family lifecycle

(v) Generation: baby-boomers, Generation X, etc.

(vi) Income

(vii) Occupation

(viii) Education

(ix) Ethnicity

(x) language

(xi) Nationality

(xii) Religion

(xiii) Social class


As people grow their needs and wants change, some organizations develop specific products aimed at particular age groups for example nappies for babies, toys for children, clothes for teenagers and so on. Such type of gender segmentation is frequently used within the clothing, cosmetics, and magazine industry.

 

(2) Psychographic segmentation is based on traits, lifestyles, attitudes, and interests of potential customer groups. Companies marketing new products, for instance, seek to identify customer groups that are positively disposed to new ideas. Firms marketing environmentally friendly products would single out segments with environmental concerns.

Some financial institutions attempt to segregate and tap into groups with a deep interest in supporting their college, school, favorite sports team, or professional organization through credit cards. Similarly, marketers of low-fat or low-calorie products try to identify and match their products with portions of the market that are health or weight conscious.

These psychographic variables include:

a. Activities

b. Attitudes

c. Interests

d. Opinions

e. Values

 

(3) Geographic segmentation entails dividing the market on the basis of where people live. Divisions may be in terms of neighbourhoods, cities, countries, states, regions, or even countries. Considerations related to geographic grouping may include the makeup of the areas, that is, urban, suburban, or rural; size of the area; climate; or population.

For example, manufacturers of snow-removal equipment focus on identifying potential user segments in areas of heavy snow accumulation. Because many retail chains are dependent on high-volume traffic, they search for, and will only locate in, areas with a certain number of people per square mile.

(i) Climate: according to weather patterns common to certain geographic regions

(ii) Population density: often classified as urban, suburban, or rural

(iii) Region: by continent, country, state, or even neighbourhood

(iv) Size of metropolitan area: segmented according to size of population

 

(4) Behavioural segmentation is possibly the most useful of all for e-commerce businesses. As with psychographic segmentation, it requires a little data to be truly effective – but much of this can be gathered via your website itself.

While demographic and psychographic segmentation focus on who a customer is, behavioural segmentation focuses on how the customer acts.

Here we group customers with regards to their:

·                  Spending habits

·                  Purchasing habits

·                  Browsing habits

·                  Interactions with the brand

·                  Loyalty to brand

·                  Previous product ratings

All of these are datasets that can be harvested from a customer’s usage of your website. We utilize behavioural segmentation to deliver highly relevant and targeted campaigns based on a number of behavioural patterns:

·                  Number of sessions to your website

·                  Number of pages visited

·                  Time spent on site

·                  URLs visited

·                  Page types visited

·                  Shopping cart value

·                  Campaign history

·                  Referral source

·                  Exit intent

·                  Inactivity, and more.

For example, we can distinguish between a first-time visitor and someone who’s already been on your site multiple times but haven’t purchased. Based on this behavioural data, we can tailor our messaging accordingly:

First time visitor: Hey, learn about our latest collection!
Returning visitor: Join our loyalty program and start saving!

 

Behavioural Market Segmentation Examples 

·                  Purchasing habits

·                  Spending habits

·                  User status

·                  Brand interactions

Behavioural segmentation requires you to know about your customer’s actions. These activities may relate to how a customer interacts with your brand or to other activities that happen away from your brand.

A B2C example in this segment may be the luxury car brand choosing to target customers who have purchased a high-end vehicle in the past three years. The B2B marketing platform may focus on leads who have signed up for one of their free webinars.

 

 

 

(5) Product-benefit segmentation is based on the perceived value or advantage consumers receive from goods or services over alternatives. Thus, markets can be partitioned in terms of the quality, performance, image, service, special features, or other benefits prospective consumers seek.

A wide spectrum of businesses—from camera to shampoo to athletic footwear to automobile marketers—rely on this type of segmentation to match up with customers. Many companies even market similar products of different grades or different accompanying services to different groups on the basis of product-benefit preference.

Some product variables include:

(i) Benefits sought

(ii) Brand loyalty

(iii) Occasions: holidays and events that stimulate purchases

(iv) Readiness to buy

(v) Usage rate

(vi) User status: potential, first-time, regular, etc.

 

The Seven Essential Segmentation Variables

1. Acquisition Path: How a customer ended up on your site to make the first purchase says a good deal about how he or she is likely to shop over time. Do some digging on your own as the implications fluctuate from retailer to retailer.

Example: A retailer could cut spending on Facebook after discovering that subscribers acquired through that channel converted to paying customers at a much lower rate than those acquired elsewhere.

2. First Purchase: A shopper’s first purchase says a lot about what type of customer he or she is likely to become. Brand, category and sub-category can give you strong conclusions on things like price sensitivity, shopping persona, and level of attachment to your store.

Example: A fashion retailer could change its retention marketing program after learning that customers whose first purchase was a sweater were over three times more likely to repeat in their first 90 days than customers who started by buying in other categories.

3. Device Type: For many retailers, shoppers who come in on certain device types are inherently different from those who arrive through the more conventional desktop route.

Example: A daily deal site might discover that its iPhone customers are worth twice as much as desktop customers – and change the way it targets and communicate with these customers accordingly.

4. Geography: Geography gives a surprising amount of valuable info on your customers. Beyond the low-hanging fruit (e.g., cities like New York and San Francisco tend to be both wealthier and more fashion-forward), geography can also give insight into the density of brick-and-mortar shopping options as well as regional shopping preferences.

Example: An apparel retailer might discover that its Midwestern customers are worth far more than average because they tend to buy pricey knits and outerwear during the cold winter months – so its acquisition marketing team could begin targeting new customers from the region.

5. Income: Product preferences and even repeat rate can vary widely with disposable income. Tip on finding this info: Many data providers will provide you with their best guess on an individual’s income or assets by looking at median income or median home price in particular ZIP+4’s.

Example: A retailer could use a customer’s predicted income level to determine the right items to show him or her in emails.

6. Gender: Gender can say a lot about a shopper’s predicted spend. For example, a lifestyle retailer may be surprised to discover that although its target demographic is male, its female customers are actually more valuable.

Example: This luxury retailer’s marketing team could use this insight to transform the messaging and creative of their display advertisements.

7. Age: The relationship between age and lifetime value tends to vary from retailer to retailer, but is almost always a source of insight for lifetime value segmentation. Some retailers may find that their younger customers skew more valuable because of a greater level of comfort with e-commerce transactions. Other retailers may find that older customers tend to be more affluent, more brand-loyal, and less prone to price comparison.

Example: A fashion retailer could start targeting an older demographic after discovering that its older customers tend to be more affluent, more brand-loyal, and less prone to comparison shopping.

 

How to Create a Market Segmentation Strategy

Use the following market segmentation process to learn about your audience and find new marketing and product opportunities.

1. Analyze your existing customers

If you have existing customers, start your market segmentation process by performing an audience analysis. An audience analysis allows you to learn about your customers and begin to identify trends that exist within your current customer base.  Use these market research questions to guide your research.

2. Create a buyer persona for your ideal customer

Once you complete an audience analysis, you’ll have a good idea about who your current customers are. In the next step, take your data and use it to create a buyer persona that describes the exact type of customer you’d like to attract.

A buyer persona is a semi-fictional description of your ideal customer. It allows you to clearly visualize the person that your brand is trying to attract. Knowing whom you want to work with will make it easier to find the right market segment opportunities.

If you need help with creating a persona, use this free downloadable buyer persona template to walk you through the process.

3. Identify market segment opportunities.

Once you have a buyer persona that describes your ideal customer, start looking for market segment opportunities.

A market segment opportunity is a trend that can drive new marketing tactics or offerings. To find them, first ask questions about your brand.

·                  What problems does your brand solve?

·                  What problems can you solve better than your competitors?

·                  What do you know a lot about or excel at?

·                  Who do you and your team like to serve?

Then, refer back to your audience analysis and buyer persona and ask questions that uncover opportunities.

·                  What large segments stick out?

·                  What customer characteristics or qualities are most common?

·                  What segments are currently not being served?

·                  What segments is your brand uniquely qualified to serve?

Identify a few potential market segment opportunities, and then research to confirm that they are viable.

4. Research your potential segment.

Before you launch a marketing campaign for a new segment of your market, verify that it is a good option. Research to see what competition exists and if audiences are interested in your new market.

5. Test and iterate

Once you find a new market you want to explore, don’t go all in just yet. Create a few campaigns to test your idea.

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