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The result obtained from the model gives what is known as the Z-score. Low values indicate the company has a high probability of failing while high values predict the company is less likely to fail. In fact, Altman’s seminal work predicted correctly 72% of the bankrupted companies two years prior to the event.
However, the Z-score is an explanatory tool rather than an instrument to forecast business viability, and this tool should only be used as a baseline or a first approach to viability assessment. For instance, Altman himself suggests to analyse thoroughly those companies with lower Z-index values while resources and time can be saved with those obtaining higher values.
Unit fixed costs decrease with your sales, while unit variable costs are constant with sales; so then, as sales increase turnover allows for covering the variable costs (whenever selling price exceeds the unit variable cost) and part of the fixed costs. The break-even point is the level of sales when turnover will just cover both costs, leading the company to abandon loses.
The break-even point is the level of sales which is a minimum for the company to start making a profit. To obtain this in terms of units and currency, input the figures for your fixed costs, the variable cost and the unit price.
This calculator indicates you the number of units that allow your company or project to reach break-even, showing you the solution diagram, as well. Use it for simulating different scenarios of costs and prices.
In fact, the type of customers we like are those that buy (and pay), and repeatedly in time will be buying again and again. However, no love story is for ever, and your customer will end up buying elsewhere (at least, the average customer will do); do not take it personal, but there are many reasons that this will happen, and marketers should know at which rate your business loses customers (i.e. fidelity, retention).
If you consider this cycle, you are capable of calculating the average profit per customer _which includes the fixed initial acquisition cost (how much have you spent to gain that customer)_ and estimate the average customer life (as your customer), then you should be able to calculate how much a customer is worth to your business: the customer lifetime value (CLV).
This app will allow you to calculate CLV the simpler way; when the sales cycle is not too complicated you can approximate the CLV calculation by using the 'turnover', 'number of customers', and 'churn rate' (% of customers that stop buying from you every month).
This app calculates the probability that both actions are interconnected by using Fisher's exact test, an statistical technique which is widely used when samples are small (i.e. few customers surveyed).
The significance of the association is estimated by the mid p-value method. If this probability is below 5% consider there is an statistically significant association between the two actions.