Há milhões de anos que neste blogue desafiamos as empresas a questionarem-se e a focarem-se nos seus clientes-alvo, em vez de tentarem ser tudo para todos e torrarem recursos (não esquecer a curva de Stobachoff) de forma ineficaz e ineficiente.
Um artigo publicado em Dezembro pela Harvard Business Review, "Do You Really Understand Your Best (and Worst) Customers?", fez-me recuar aos anos iniciais deste blogue onde focamos por muitas vezes a nossa atenção na necessidade de escolher os clientes-alvo:
"Companies often look at their business by focusing on geographic regions, specific brands or products, or by sales channel. This makes sense, because this data is always at hand, and organizations are often structured around geography or channels. But by looking at data and business problems from a frame of reference in which the customer is the atomic unit for analyzing revenue and profitability, these firms were able to gain a new perspective on the problem they were facing, either properly diagnosing the problem or stopping themselves from making a bad decision.
As you analyze your firm’s revenues and profits, or as you make plans for the future, what’s your unit of analysis?
...
This lack of focus on individual customer data is often a mistake. Revenues are generated by customers pulling out their wallets and paying for your products and services. Revenue is the sum of the value of all the customer transactions that occurred in a given time period.
Many firms recognize the need to think differently about using customer data, but they do not know where to start. They are often trapped in an old-fashioned view of their business, structured around products or channels. How do you approach the task of getting your people to shift their perspective and start thinking about your firm’s performance using the customer as the atomic unit of revenue and profitability?"
Um conjunto de perguntas que podem ajudar a perceber quem são os clientes-alvo. Primeiro, as que se encontram no âmbito de "Lens 1: Who are our Best and Worst Customers?".
"How many customers did we have last year? How do these customers differ in terms of their value to the firm? For example, how many customers purchased from us just once last year? How many customers accounted for half of our revenue last year? Half of our profit? If we compare, say, the 10% most profitable customers to the 10% least profitable, what lies behind these differences? To what extent are they driven by differences in the number of transactions, the average value per transaction, and average margin per transaction? Digging deeper, what about differences in the types of products they purchased?
The set of simple analyses that explore how different our customers are from each other lead to a fundamental conclusion: customers are not equal. Most people underestimate just how unevenly revenue and profit are distributed across customers."
Segundo, as que se encontram no âmbito de "Lens 2: How is Customer Behavior Changing?".
Terceiro, as que se encontram no âmbito de "Lens 3: How Does a Cohort of Customers Change Over Time?".
"Much like Copernicus changed the way people thought about the earth’s place in the universe, we have observed that taking a view of the firm’s performance using the customer as the unit of analysis can have a similarly profound impact on the way the firm thinks about assessing performance and planning for growth. This results in a mindset shift for organizations to move from talking about “what makes us money” to “who makes us money.”"
Acredito que o uso destas perguntas pode ajudar a analisar os dados para os transformar em informação que pode ser avaliada e usada para a tomada de decisões estratégicas, como perceber que há clientes sérios e honestos, mas que não são clientes-alvo, são mais um prego no caixão.
Sem comentários:
Enviar um comentário