The one hand we would multiply each customer by its customer lifetime valueor customer life value clv or ltv. That is we would multiply it by the profits that we expect this customer to able to generate bas on the value of his purces the frequency with which he makes them and the estimat years that he will continue purcing. On the other hand we would complement the value of our customer base if we calculate the product of the previous result by their average level of satisfaction. To do this for example we could use a recommendation indicatornpsor a satisfaction indicatorcsat.
The crack that will make you relevant to Google
In this way the evolution of the value of our clientele could follow bas on entries exits and the latest existing data on their satisfaction. Next we will delve into each of the parts of the previous formula on the value of our customer base and see real mobile app development service cases of how a good customer experience affects each of them The most satisfi customers have a very high probability of trusting the brand and buying more. Another study by qualtrics. Earning customer trust is critical for any company and furthermore losing this trust could have significant financial consequences.
The conductor of the orchestra
The correlation tween the probability of customer trust in a brand and their satisfaction is very high. In spain of consumers who end up most satisfistarstrust the brand and this is times higher than those users who rat their experience worse with or star DM Databases sgraph. Chartsource qualtrics xm institute q in our country of consumers who more satisfi would buy more and. Times more likely to buy from a company again after a satisfaction with astar rating compar to customers who end up dissatisfirating and stars. Of the industries analyz globally banking would the one with the lowest propensity