Potential client information dynamic allocation method
A technology of customer information and dynamic allocation, applied in market forecasting, marketing, market data collection, etc., can solve the problems of insufficient accuracy and flexibility of input, difficulty in completing tasks, and increased costs, so as to improve data utilization efficiency and reduce effect of influence
Active Publication Date: 2018-09-04
成都达拓智通科技有限公司
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Problems solved by technology
[0004] The disadvantages of the above-mentioned traditional methods are: there is a certain deviation between the filing rate subjectively estimated based on experience and the actual needs, and the accuracy and flexibility of calculating the input amount for the next cycle based on a fixed probability are insufficient, and it is impossible to make timely decisions based on feedback. Adjustment, too much investment will increase the cost, too little will make it difficult to complete the task
Method used
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Embodiment
[0097] In order to verify the effect of the potential customer information dynamic distribution method described in the present invention, the following examples illustrate:
[0098] Generate 1,000 groups of samples with 100,000 pieces of information in each group, 10,000 of each group are set as "successful filing", and the rest are "unable to successfully file", that is, it is assumed that the real filing rate is 10%. The actual performance of the method is simulated by drawing randomly from it. Set V=600, t=30, P 0 = 0.1. For schemes with different parameters, the following nine indicators were compared:
[0099] num_600: the number of times the completion amount is exactly 600;
[0100] num_over.: The number of completions greater than 600;
[0101] prob.: the final estimate of the lower bound of the filing rate;
[0102] N: the total number of items invested;
[0103] std(V): the standard deviation of the amount invested in each cycle;
[0104] avg(over.): In the c...
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The invention discloses a potential client information dynamic allocation method. The method comprises the following steps of determining a task requirement; obtaining original data; finishing a taskof a first cycle; recording a completion situation; estimating an archiving rate: taking an information output quantity in a verified information input quantity as priori information, performing interval estimation of binomial distribution under a confidence level, and using a lower bound of a confidence interval as estimation of the archiving rate; calculating a quantity planned to be completed;calculating the input quantity; and circulating each cycle, until termination, thereby finishing potential client information dynamic allocation. According to the method, the ratio (the archiving rate) of the estimated output quantity to the input quantity is taken as a core; by utilizing the confidence interval method in statistics and taking the verified information quantity as the priori information, the confidence interval estimation for the archiving rate is continuously updated; and after task and parameter setting, full automation can be realized without labor-based additional adjustment, so that the data utilization efficiency is improved and the influence of uncertain output is reduced.
Description
technical field [0001] The invention relates to a potential customer information processing method, in particular to a potential customer information dynamic allocation method. Background technique [0002] At present, we are in an era of rapid development of big data. More and more companies are beginning to pay attention to the accumulation, application and realization of data assets, and try to use big data for precision marketing. All brand dealers can obtain clues of potential consumers who are concerned about their own brands or competing brands through data sources such as web sites, mobile apps, and related product forums, mainly including phone numbers, QQ numbers / WeChat numbers that consumers actively leave for price consultation , e-mail and other information. One of the characteristics of this type of potential customer information is its uncertainty, that is, it is impossible to determine whether the consumer corresponding to a certain piece of information has ...
Claims
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CPCG06Q30/0201G06Q30/0203
Inventor 李晓非张胤张代文廖健
Owner 成都达拓智通科技有限公司