satisfaction Who says loyalty is often thought, but the correlation between these two concepts is far from established. Many companies see a customer satisfaction rate of over 90% but registers a retention rate of only just over 50%.
A customer can be satisfied, this does not mean it will become true. The customer is in fact quite normal to be satisfied, because if the satisfaction is the result of a perception, faithfulness, it is the result of a behavior.
But it is the loyalty that determines the performance of the company: the customer is a loyal costumer is also a potential prescriber is still a customer less sensitive to price changes and will tend to buy more. The customer is at the heart of corporate strategy should therefore identify its fidelity, it fit a differentiated communication. And this is even more true in difficult economic circumstances in which a defensive marketing is still cheaper than a marketing offensive.
ID? Differentiated communication? It is therefore more necessary than ever to learn to segment its customer base to identify different customer behaviors and thereby enable the establishment of policies tailored to specific marketing and strategic business objectives.
Business Strategy share declined in differentiated marketing, segmentation and identification of indicators, we're back on the ground of the method BSC (Balanced Scorecard).
Suppose that the objective Business is "increase sales by x%" , objective news to the various entities of the company to identify how they will contribute to its realization.
marketing decides to "revise the segmentation of the customer base" approach that can be either a goal or a marketing plan. One can easily imagine a causal relationship between the two objectives: "review the segmentation of the customer base" contributes to "increase sales by x%" .
Indeed, analysis of segmenting the customer base can help guide actions to be taken as the number of new customers acquired, the turnover per segment to reach existing customers, the increase retention rates, regaining lost customers ...
It should also prioritize these actions, and perhaps to give some order to define the proper allocation of resources ( human, logistic, financial) tailored to each client and the action potential of each customer segment.
Thus marketing considers that the review of customer segmentation is fully on the strategic objective of the company. For this CFO will review it in budget period, to define the probability of occurrence of potential sales by customer class.
Segmentation (RFM identify - Frequency - Amount) is the most effective to normalize a database client. This is a method of analyzing the customer portfolio based on three criteria : A review (when the last customer's purchase), frequency (number of purchases during the period) and amount (amount of purchases made by the customer over the period analyzed).
Segmentation (RFM identify - Frequency - Amount) is the most effective to normalize a database client. This is a method of analyzing the customer portfolio based on three criteria : A review (when the last customer's purchase), frequency (number of purchases during the period) and amount (amount of purchases made by the customer over the period analyzed).
In this method the client portfolio is segmented in 4 periods (quarter, semester, year) called P-1, P-2 P-3, P-4 and which is assigned a response binary 1 or 0 depending on whether the customer has placed an order for the period (1) or remained inactive (0) over the period. Thus, a customer who placed the order only on the periods P-1 and P-3 will be assigned binary code: 1010, the having ordered the four periods will be assigned code: 1111.
thus determined 16 customer segments that can be grouped in 5 macro-segments to simplify and synthesize the communication of analysis results:
1111 = Very good customer
1110 = Very good customer
1101 = Good customer
1100 = Good customer
1101 = Good customer
1010 = Customer cyclic
1001 = Customer cyclic
1000 = New customer
0111 = Good customer
0110 = Customer cyclic
0101 = Customer cyclic
0100 = lost Customer
0011 = lost Customer
0010 = Client lost
0001 = lost Customer
0000 = Customer inactive
These 16 segments and identify customers with similar behavior and which can be associated, in a column in a spreadsheet, indicators such as the number of customers, sales, the average shopping basket, the frequency purchase, etc.. ...
And dragging this history with each new period, we can recalculate a new segmentation thereby determining a new indicator: the rate of conversion of each customer segment that is to say "new clients" that have become "good" clients the "good customers" who have become "very good" clients the "very good" clients lost and so on.
This shows the power of information we can draw from its customer base from the intersection of different customer segments with the selected indicators:
- in hindsight: knowledge of customer behavior based on their segment,
- a vision of the future: anticipation of future customer behavior by adding a probability of behavior.
And from these two visions, it becomes possible to adapt the commercial offers to each customer segment based on strategic choices defined by the head of the company.
Such an analysis presupposes a certain integrity of customer data base, from experience, this is not always realized, it should nevertheless not be an obstacle to its implementation and use of this wonderful performance lever.
In a BSC methodology for assessing the achievement of the objective, then it is best to define the two types of key performance indicators, outcome indicator (lagging indicator) we choose among those cited above and action indicators (Leading indicators) that will strategic choices of the customer defined policy.
Such an analysis presupposes a certain integrity of customer data base, from experience, this is not always realized, it should nevertheless not be an obstacle to its implementation and use of this wonderful performance lever.
In a BSC methodology for assessing the achievement of the objective, then it is best to define the two types of key performance indicators, outcome indicator (lagging indicator) we choose among those cited above and action indicators (Leading indicators) that will strategic choices of the customer defined policy.
On this last point I invite you to read the article by Patrick Jaulent "How to link long-term strategic objectives and daily operational activities? "
What do you think?
What do you think?