Quick -- what three companies come to mind when you think of marketing automation? Soft drinks? Casual dining? The list of categories is limitless, and in each there are usually only a few companies that immediately come to mind. These companies are typically the category leaders.
A number of years ago, Al Reis and Jack Trout posited that the category leader owned approximately 30% of the market, the number two player somewhere between 15 and 20 percent, and the number three player somewhere between 10 and 12 percent of market share. The rest of the market is shared by the remaining players. The value of category leadership isn’t just boasting rights, it’s financially meaningful. This ownership relates to market momentum and product/service adoption that translates into financial prowess.
While many organizations track market share, most markets are comprised of several categories. For example, the restaurant market is very large, but you can begin to sub-segment it into more distinct categories such as fast food, casual dining, and fine dining. These sub-segments can often be even further refined into categories (e.g., bistros, grills, buffet style, and so on).
In the restaurant market there are a number of customer segments as well, whether defined by demographic (college students, retirees, families) or by food preference (gluten free, vegan, etc.).
Understanding both the categories and the customer segments is important in order to participate in and claim a category. Why? Because each category and segment reflects a customer and by understanding the customers’ needs, wants, and buying process in a category you can make better strategy, product, positioning, messaging, channel, and content decisions.
Once you map this and begin to implement your plan of action, a key metric of success known as CDI or category development index can be determined. This metric can be used to
measure your performance in a specific category. CDI measures your sales performance in a category of goods or services for a specific group of customers, compared with the average sales performance
in that category.
CDI can then be leveraged to identify strong and weak customer segments in the category. By creating a category development index you can understand specific customer segments in relation to the category as a whole. The index can then be used to compare performance among customer segments. Precise definitions of each customer segment are crucial in designing a successful category development index.
Calculating the CDI is fairly simple once you have the data in place. You will need to know three things to calculate CDI:
1. Total number of sales in units within the category
2. Sales (in units) of the category by customer segment
3. The total number of customers in each segment
Once you have these three data points you can calculate CDI using the following equation.
CDI = (Your sales in the category/ Total number of customer in the Segment within category)/ (The total sales in the category/ total number of customers).
For example, if you have sold 100 of your widgets in the category that currently has 10,000 customers in Segment A, and the total units of all widgets
sold in the category is 500, your CDI is 10%. An index is based on 100, so there is quite an uphill road to category development. On the other hand, if you have sold 250 of your widgets in the
category that currently has 7,500 customers in Segment B, and the total units of all widgets is 500, your CDI for this segment is 55%, indicating better traction among this customer segment in the
category, even though there are fewer customers.
By tracking the CDI for various segments, you can calculate your relative performance within specific customer groups and tailor your marketing programs and investments accordingly. This information helps crystalize your assumptions and thinking. For example, using the scenarios above you can pursue the following questions:
We all believe in the power of segmentation. Categories provide a way to further define markets and examine customer segments with more precision. This is especially important for organizations with limited resources.