WO2019024475A1

WO2019024475A1 - Breakpoint list distribution method and apparatus, and server and medium

Info

Publication number: WO2019024475A1
Application number: PCT/CN2018/074879
Authority: WO
Inventors: 徐光飞
Original assignee: 平安科技（深圳）有限公司
Priority date: 2017-07-31
Filing date: 2018-01-31
Publication date: 2019-02-07
Also published as: CN107688892A

Abstract

A breakpoint list distribution method and apparatus, and a server and a medium. The method comprises: acquiring target breakpoint lists to be distributed to a salesperson (101), wherein each of the target breakpoint lists includes more than one list attribute; respectively calculating, according to the list attribute of each of the target breakpoint lists, a list score of the target breakpoint lists (102), wherein the higher the list score, the higher the quality of the target breakpoint list; respectively determining, according to a preset matching relationship, a salesperson level corresponding to the list score of each of the target breakpoint lists (103), wherein the preset matching relationship refers to a correlation between the list score of the breakpoint list and the salesperson level of the salesperson, and the salesperson level is determined by means of list scores of historical breakpoint lists of successful sales of a salesperson; and respectively distributing each of the target breakpoint lists to a salespeople at the salesperson levels corresponding to the target breakpoint lists (104). The method is used to solve the problem of how to rationally distribute breakpoint lists.

Description

Method, device, server and medium for assigning breakpoint list

This application claims the priority of the Chinese Patent Application filed on July 31, 2017, the Chinese Patent Office, Application No. 201710643321.7, the invention titled "Distribution List of Breakpoint List, Storage Media and Server", the entire contents of which are incorporated by reference. In this application.

Technical field

The present application belongs to the technical field of automobile insurance sales, and in particular relates to a method, a device, a server and a medium for allocating a breakpoint list.

Background technique

Currently, the user's breakpoint list is generally collected on the sales website in order to dig out potential sales customers. The breakpoint list refers to the data that the user performs browsing and other related operations on the sales website, and the transaction is not completed. For example, on the auto insurance sales website, the owner wants to know the auto insurance quotation, enters the name, license plate, mobile phone and other information on the auto insurance sales website for quotation, but does not carry out subsequent insurance operation. The back-end system collects similar data, called a breakpoint list, and then provides these breakpoint lists to the sales agents for follow-up to facilitate the users in the breakpoint list to complete the purchase or transaction.

These collected breakpoint lists have a large amount of data, a large number of attributes, and different quality. The existing allocation method generally allocates these breakpoint lists randomly to each sales agent. However, since the skill levels of different sales agents are different, when two breakpoint lists of the same quality are assigned to two sales agents with different skill levels, different sales results often appear.

Therefore, how to perform reasonable allocation of the breakpoint list and improve the sales success rate of the breakpoint list become an urgent problem to be solved by those skilled in the art.

technical problem

The embodiment of the present application provides a method, an apparatus, a server, and a medium for allocating a breakpoint list, so as to solve the problem that it is difficult to reasonably allocate a breakpoint list in the prior art.

Technical solution

A first aspect of the embodiments of the present application provides a method for allocating a breakpoint list, including:

Obtain a list of each target breakpoint to be assigned to the sales agent, and each target breakpoint list includes more than one list attribute;

Calculating a list score of the target breakpoint list according to a list attribute of each of the target breakpoint lists, and the higher the list score, the higher the quality of the target breakpoint list;

Determining, by the preset matching relationship, the agent level corresponding to the list score of each of the target breakpoint lists, where the preset matching relationship refers to a correspondence between the list score of the breakpoint list and the agent level of the sales agent, wherein The agent level is determined by a list score of a list of breakpoints in which the sales agent historical sales succeeds;

And assigning each of the target breakpoint lists to a sales seat of the agent level corresponding to the target breakpoint list;

The seat level of the sales agent is determined by the following steps:

Obtaining a list score of each first breakpoint list of the sales agent historical sales success;

Determining, according to a list score of each of the first breakpoint lists, a contribution value of the sales agent to each of the first breakpoint lists;

And determining, according to the determined mean value of each of the contribution values, a seat level of the sales agent, wherein the higher the average value, the higher the seat level of the sales agent.

A second aspect of the embodiments of the present application provides a device for allocating a breakpoint list, including:

a target list obtaining module, configured to obtain each target breakpoint list to be allocated to a sales agent, and each target breakpoint list includes one or more list attributes;

a list score calculation module, configured to calculate a list score of the target breakpoint list according to a list attribute of each of the target breakpoint lists, wherein a higher score of the list indicates that the quality of the target breakpoint list is higher;

The list corresponding level determining module is configured to determine, according to the preset matching relationship, the agent level corresponding to the list score of each of the target breakpoint lists, where the preset matching relationship refers to the list score of the breakpoint list and the seat level of the sales agent. Correspondence relationship, wherein the agent level is determined by a list score of a list of breakpoints in which the sales agent history sales succeeds;

And a list allocation module, configured to respectively allocate each of the target breakpoint lists to a sales agent of the agent level corresponding to the target breakpoint list.

A third aspect of an embodiment of the present application provides a server including a memory and a processor, the memory storing computer readable instructions executable on the processor, the processor executing the computer readable The step of implementing the method of assigning the breakpoint list as described in the first aspect is implemented.

A fourth aspect of the embodiments of the present application provides a computer readable storage medium storing computer readable instructions, the computer readable instructions being executed by a processor to implement the first aspect as described in the first aspect The steps of the assignment method for the breakpoint list.

Beneficial effect

In the embodiment of the present application, first, each target breakpoint list to be allocated to a sales agent is obtained, and each target breakpoint list includes one or more list attributes; and then, according to the list attribute of each target breakpoint list, respectively a list score of the target breakpoint list, wherein the higher the list score is, the higher the quality of the target breakpoint list is. Next, the seat level corresponding to the list score of each of the target breakpoint lists is determined according to the preset matching relationship. The preset matching relationship refers to a correspondence between the list score of the breakpoint list and the agent level of the sales agent, wherein the agent level is determined by the list of the breakpoint list of the sales agent history sales success; Each of the target breakpoint lists is respectively assigned to a sales agent of a seat level corresponding to the target breakpoint list. In this way, according to the correspondence between the list score of the target breakpoint list and the seat level, each target breakpoint list is respectively assigned to the sales agent of the corresponding seat level, which can make the sales agent's ability and the follow-up breakpoint list quality. Matching, to achieve the effect of a reasonable allocation of breakpoints list, thereby improving the sales success rate and business conversion rate of the breakpoint list.

DRAWINGS

FIG. 1 is a flowchart of an embodiment of a method for allocating a breakpoint list according to an embodiment of the present application;

2 is a schematic flowchart of step 102 of a method for allocating a breakpoint list in an application scenario according to an embodiment of the present application;

3 is a schematic flowchart of step 201 in an application scenario in the corresponding embodiment of FIG. 2;

4 is a schematic flowchart of step 201 in another application scenario in the corresponding embodiment of FIG. 2;

FIG. 5 is a schematic flowchart of step 201 setting a preset attribute score in another application scenario in step 201 of the embodiment of FIG. 2;

FIG. 6 is a schematic flowchart of determining a seat level in an application scenario according to a method for allocating a breakpoint list according to an embodiment of the present application;

FIG. 7 is a schematic flowchart of step 104 of a method for allocating a breakpoint list in an application scenario according to an embodiment of the present application;

FIG. 8 is a structural diagram of an embodiment of a device for allocating a breakpoint list according to an embodiment of the present application;

FIG. 9 is a schematic diagram of a server according to an embodiment of the present application.

Embodiments of the invention

In order to explain the technical solutions described in the present application, the following description will be made by way of specific embodiments.

Referring to FIG. 1 , an embodiment of a method for allocating a breakpoint list in the embodiment of the present application includes:

101. Obtain a list of target breakpoints to be allocated to the sales agent, and each target breakpoint list includes more than one list attribute;

In this embodiment, after the user performs related operations on the sales website and finally fails to complete the insurance, the system collects the operation information of the users and generates a list of each breakpoint. Before assigning these breakpoint lists to the sales agents, it is necessary to evaluate the quality of these breakpoint lists. Whenever possible, when assigning the breakpoint list, the seat level of the sales agent matches the quality of the breakpoint list. The point list is assigned to the most appropriate sales agent for follow-up processing to maximize the business conversion of the breakpoint list.

Understandably, in general, a good list of breakpoints usually has the characteristics of complete attributes, such as the user name of the user recorded on the first breakpoint list, and the user name and phone number of the second breakpoint list. number. Obviously, the list attribute of the second breakpoint list can help the sales agent to sell more smoothly and complete the business conversion, so the second breakpoint list is better than the first breakpoint list.

Specifically, in an application scenario of the auto insurance sales website, the target breakpoint list may include one, two or more of the list attributes listed below; for example, the list attribute is a phone number, a license plate number, and a frame. No., engine number, quoted, insured, renewed or new auto insurance.

The above telephone number, license plate number, frame number, and engine number are the contact information and vehicle related information entered by the user on the auto insurance sales website. The above-mentioned "quoted" attribute means that when the user operates on the vehicle sales website, the vehicle sales website has provided the quotation information of a certain automobile insurance according to the operation of the user, for example, the quotation page of the automobile insurance A is displayed. The above-mentioned "insured" list attribute means that the user has completed at least one insurance on the vehicle sales website. Since such users are regarded as "old customers", the list of "insured" is viewed. Do the key attribute information. The above-mentioned "renewal" list attribute refers to the user's renewed related operation on the vehicle sales website or browsed the related page of renewal. The above-mentioned "new car insurance type" list attribute refers to the user browsing the new auto insurance type on the auto insurance sales website. For example, the user has already insured or has visited the auto insurance B. When the user subsequently browses the auto insurance C on the auto insurance sales website, , the list of breakpoints generated this time has the list attribute of “new car insurance”.

102. Calculate, according to the list attribute of each target breakpoint list, a list score of the target breakpoint list, and the higher the list score, the higher the quality of the target breakpoint list;

In this embodiment, before assigning each target breakpoint list to an appropriate sales agent, the list scores of the target breakpoint lists are first calculated, and the quality is evaluated. The higher the list score, the representative of the target breakpoint list. The higher the quality, conversely, the lower the list score, the lower the quality of the target breakpoint list.

Specifically, as shown in FIG. 2, the foregoing step 102 may specifically include:

201. Calculate an attribute score corresponding to each list attribute of each target breakpoint list, where the attribute score of the list attribute is positively correlated with a proportion of the list attribute in a historical breakpoint list of successful sales. ;

202. Perform, respectively, performing each of the target breakpoint lists: determining a list score of the one target breakpoint list according to each attribute score calculated under a target breakpoint list.

For the above step 201, after determining the target breakpoint list, it is necessary to separately calculate the attribute scores for each list attribute under each target breakpoint list in each target breakpoint list. For example, there are two target breakpoint lists. The target breakpoint list a has three list attributes, namely a1, a2, and a3; the target breakpoint list b has three list attributes, namely b1, b2, and b3; Therefore, it is necessary to separately calculate the attribute scores corresponding to each of a1, a2, a3, b1, b2, and b3. The calculated attribute scores corresponding to a1, a2, and a3 belong to the target breakpoint list a, and the calculated attribute scores corresponding to b1, b2, and b3 belong to the target breakpoint list b.

In this embodiment, the attribute score corresponding to the calculated list attribute is used for subsequent calculation of the list score of each target breakpoint list, and the list score determines the pros and cons of the target break list, and the list score is higher. The higher the target breakpoint list is. For this reason, for the attribute score corresponding to each list attribute, the more useful the list attribute is required, the corresponding calculated attribute score should be higher.

Therefore, in this embodiment, the level of the attribute score of the calculated list attribute is required to be positively correlated with the proportion of the list attribute in the historical breakpoint list of the successful sales, that is, the list attribute is successfully sold. The larger the proportion of the historical breakpoint list, the higher the corresponding attribute score; conversely, the smaller the proportion of the list attribute in the historical breakpoint list of sales success, the lower the corresponding attribute score. It can be understood that if there are 10 historical breakpoint lists for successful sales, 9 of the breakpoint lists have the list attribute d, that is, the historical breakpoint list with 90% of sales success has the list attribute d, which can be considered as the list. Attribute d is of great help to the sales success of the historical breakpoint list; if there are 10 historical breakpoint lists for successful sales, only one breakpoint list has the list attribute e, that is, the historical breakpoint list with 10% sales success has The list attribute e, at this time, can be considered that the list attribute e is less helpful for the sales success of the historical breakpoint list. Undoubtedly, the list attribute d has a larger proportion in the historical breakpoint list of the sales success than the list attribute e. Accordingly, the attribute attribute corresponding to the list attribute d should be higher than the list attribute e, for example, For example, the attribute attribute corresponding to the list attribute d is 0.9, and the attribute attribute corresponding to the list attribute e is 0.1.

Specifically, in this embodiment, the following two methods may be used to calculate the attribute score corresponding to the list attribute. As shown in FIG. 3 and FIG. 4, the two methods have advantages and disadvantages, and may be selected and used according to actual conditions.

The first method: as shown in FIG. 3, the foregoing step 201 may include:

301. Determine a target list attribute that needs to calculate an attribute score currently;

302. The first number of the breakpoint list having the target list attribute in the historical breakpoint list of the statistical sales success;

303. Calculate a first proportion of the first number of breakpoint lists in the historical breakpoint list;

304. Determine, according to the first ratio, an attribute score corresponding to the target list attribute. The larger the first ratio, the higher the determined attribute score.

For step 301, since each attribute attribute under each target breakpoint list needs to separately calculate the corresponding attribute score, in the calculation, multi-threading may be adopted, and each thread processes a list attribute calculation. In a thread, the list attribute currently calculating the attribute score is determined as the target list attribute.

For step 302, it can be understood that, for the collected breakpoint list, after the breakpoint list is assigned to the sales agent, the sales agent will feed back the results of the breakpoint list processing to the system. Therefore, the system can know which breakpoint list in the historical breakpoint list is successfully sold, and which breakpoint list sales fail. In this embodiment, assuming that there are a total of 100 historical breakpoint lists for successful sales on the system, step 302 is to count how many breakpoint lists in the 100 historical breakpoint lists have the target list attribute. It can be seen from the above that the first quantity can reflect how much the target list attribute helps the sales success of the breakpoint list. The larger the first quantity, the more helpful the target list attribute is to the successful sale of the break list. Big.

For step 303, assuming a total of 100 successful historical breakpoint lists on the system, the first number is 40, and the first ratio is 40%.

For step 304, a conversion relationship between the first ratio and the attribute score may be preset on the system. In particular, the value of the first ratio may be a 1:1 relationship with the value of the attribute score. That is, when the first ratio is 40%, the attribute score may be 0.4. In this embodiment, the conversion relationship between the first ratio and the attribute score is not specifically limited, but the first ratio is required to be positively correlated with the attribute score, that is, the larger the first ratio is, the higher the attribute score is determined; The smaller the first ratio, the lower the determined attribute score.

The second method: as shown in FIG. 4, the foregoing step 201 may include:

401. Determine a target list attribute that currently needs to calculate an attribute score.

402. Query a preset attribute score corresponding to the target list attribute.

403. Determine the preset attribute score as an attribute score corresponding to the target list attribute.

The above step 401 is similar to the above step 301, and details are not described herein again.

For step 402, the preset attribute score corresponding to the target list attribute may be pre-stored on the system, and the preset attribute score corresponding to the target list attribute may be directly queried on the system when needed.

As shown in FIG. 4, the preset attribute score corresponding to the target list attribute may be preset by the following steps:

501. Periodically count the second number of breakpoint lists having the target list attribute in the historical breakpoint list of the sales success;

502. Calculate a second proportion of the second number of breakpoint lists in the historical breakpoint list;

503. Determine, according to the second ratio, a preset attribute score corresponding to the target list attribute. The larger the second ratio is, the higher the determined preset attribute score is.

For steps 501 to 503, the system can periodically perform a second number of statistics, such as monthly, weekly, or daily statistics. The process of counting the second quantity is similar to the process of counting the first quantity in the above step 302, and details are not described herein again. After calculating the second quantity of the target list attribute, calculating a second proportion of the second number of breakpoint lists in the historical breakpoint list, and then determining, according to the second ratio, the target list attribute Corresponding preset attribute score. In this embodiment, the conversion relationship between the second ratio and the preset attribute score is not specifically limited, but the second ratio is required to be positively correlated with the preset attribute score, that is, the larger the second ratio is determined. The higher the preset attribute score is; on the contrary, the smaller the second ratio is, the lower the determined preset attribute score is. It can be seen that the system can calculate and store the corresponding preset attribute scores for different target list attributes periodically, and when needed, the query system can obtain the preset attribute score corresponding to the target list attribute.

For step 403, the queried preset attribute score is determined as an attribute score corresponding to the target list attribute.

It can be seen from the above that the comparison between the first method and the second method has its advantages and disadvantages. The advantage of the first method is that the real-time performance is strong. Since the attribute scores corresponding to each target list attribute are calculated in real time according to the historical breakpoint list data of the sales success on the system, the calculated attribute score corresponding to the target list attribute is calculated. More accurate and more real-time, but the disadvantage is that the consumption of system computing resources is large; the advantage of the second method is that the consumption of system computing resources is small, and the system only needs to periodically pre-review the data according to the historical list of successful sales. The preset attribute scores corresponding to the respective list attributes are calculated and stored. When it is necessary to obtain the preset attribute score corresponding to a target list attribute, the query can be performed on the system, and no real-time calculation is needed, so the consumption of the computing resource is small, but the disadvantage is that the attribute score corresponding to the determined target list attribute is real-time. Poor sex, there may be problems with low accuracy.

Therefore, when step 201 is performed, the first method or the second method may be selected according to actual conditions.

For ease of understanding, when the target breakpoint list contains list attributes such as phone number, license plate number, frame number, engine number, quoted price, insured, renewed insurance, or new auto insurance type, in an application scenario, specific list The attribute score corresponding to the attribute can be determined accordingly as follows:

1) If it is known that all the successful breakpoint lists have complete phone numbers, the attribute value corresponding to the "phone number" list attribute may be 1;

2) If it is known that the breakpoint list of 80% of sales success has a complete license plate number, the attribute score corresponding to the list attribute of "the license plate number" may be 0.8;

3) If the statistics show that 40% of the successful breakpoint list has complete three items (license plate number, frame number, engine number), the attribute attribute corresponding to the list attribute of “car three items” may be 0.4. ;

4) If it is known that the breakpoint list of 70% of sales successes is quoted, the attribute score corresponding to the list attribute of “quoted” may be 0.7;

5) If it is known that the breakpoint list of 80% of sales successes is insured, the attribute score corresponding to the list attribute of “insured” may be 0.8;

6) If it is known that the 60% of the successful breakpoint list is renewed, the attribute attribute corresponding to the list attribute of “Renewal” may be 0.6;

7) If it is known that the list of 40% successful sales breakpoints is a new type of auto insurance, the attribute score corresponding to the list attribute of the “new auto insurance type” may be 0.4.

For step 202, after calculating the attribute scores corresponding to each list attribute in each target breakpoint list in each target breakpoint list, the list scores of the respective target breakpoint lists need to be separately calculated. The list score of a target breakpoint list is determined by the attribute score corresponding to each list attribute under the target breakpoint list. Therefore, the step of determining the list score is performed separately for each of the target breakpoint lists: determining a list score of the one target breakpoint list according to each attribute score calculated under a target breakpoint list.

Specifically, the manner of determining the list score in the above step 202 includes at least the following four types, and any one of the list scores may be selected according to actual conditions.

Method 1: Calculate the sum of the scores of the various attributes calculated under a target breakpoint list as the list score of the one target breakpoint list. For example, at a certain breakpoint target scores were each attribute lists S1, S2, S3, ......, Sn, then the list of the target breakpoint list _total score S = S1 + S2 + S3 + ...... + Sn.

Manner 2: linearly accumulating each attribute score calculated under a target breakpoint list to obtain a first accumulated value, and then calculating an average value of the first accumulated value for each list attribute of the one target breakpoint list as The list of the target breakpoint list is scored. For example, if the scores of each attribute under a target breakpoint list are S1, S2, S3, ..., Sn, respectively, the first accumulated value of the target breakpoint list is S _plus = S1 + S2 + S3 + ... + Sn. A list of the target breakpoint list score S = S _are _added / n = (S1 + S2 + S3 + ...... + Sn) / n.

Manner 3: Calculate the variance of the one target breakpoint list according to each attribute score calculated under a target breakpoint list, as the list score of the one target breakpoint list. For example, if the scores of each attribute under a target breakpoint list are S1, S2, S3, ..., Sn, then the list of the target breakpoint list scores S _variance ² = ((S1-S _average ) ² + (S2- _each ^{S) 2 + ... + (Sn-} S _-average) ²⁾ / n, where _both S = (S1 + S2 + S3 + ...... + Sn) / n.

Method 4: Calculate the standard deviation of the one target breakpoint list according to each attribute score calculated under a target breakpoint list, as the list score of the one target breakpoint list. For example, if each attribute score under a target breakpoint list is S1, S2, S3, ..., Sn, then the list score of the target breakpoint list S _{standard deviation} = the square root of the above S _variance ² .

103. Determine, according to a preset matching relationship, a seat level corresponding to a list score of each target breakpoint list, where the preset matching relationship refers to a correspondence between a list score of the breakpoint list and a seat level of the sales agent. Wherein the seat level is determined by a list of breakpoint lists of successful sales of the sales agent history;

It can be understood that the system can pre-define the preset matching relationship, that is, pre-set the correspondence between the list score of the breakpoint list and the seat level of the sales agent. For example, suppose the list of breakpoints has a score of 10 points, the score range of the list is [0, 10]; the seat level is divided into 5 levels, which are level 1, level 2, level 3, level 4, and level 5. Therefore, it can be set that the list score interval [0, 2] corresponds to the level 1 seat level, the list score interval (2, 4) corresponds to the level 2 seat level, the list score interval (4, 6) corresponds to the level 3 seat level, and the list score The interval (6, 8) corresponds to the level 4 seat level, and the list score interval (8, 10) corresponds to the level 5 seat level.

After calculating the list score corresponding to each target breakpoint list, the seat level corresponding to each of the target breakpoint lists may be determined according to the preset matching relationship.

Further, as shown in FIG. 6, in this embodiment, the seat level of the sales agent can be determined by the following steps:

601. Obtain a list score of each first breakpoint list of the sales agent historical sales success;

602. Determine a contribution value of the sales agent to each of the first breakpoint lists according to a list score of each of the first breakpoint lists.

603. Determine, according to the determined average value of each of the contribution values, a seat level of the sales agent, and the higher the average value, the higher the seat level of the sales agent.

For step 601, it can be understood that the system records the sales records of each sales agent, including a list of successful breakpoints for sales and a list of breakpoints for sales failures. In this embodiment, the ability of the sales agent can be evaluated through a breakpoint list of successful sales of a sales agent, that is, the seat level of the sales agent is evaluated. Among them, the above “list of successful historical breakpoints” may refer to a list of breakpoints that have been successfully sold within a certain period of time, such as a list of successful breakpoints sold last week; or may refer to all sales of the sales agents that have been successfully sold. List of breakpoints.

For step 602, as can be seen from the above, each first breakpoint list is calculated before the allocation to the sales agent, and the list of the first breakpoint list has a high or low score, and the list score is higher and the sales are successful. The first breakpoint list indicates that the sales agent has contributed more to the sales success of the first breakpoint list, thereby reflecting the sales ability of the sales agent. The contribution value of the above-mentioned sales agent to each of the first breakpoint lists can be calculated from the list score and the full score of each first breakpoint list, and the difference between the full score and the list score of the first breakpoint list can be specifically determined. Determined as the contribution value. For example, suppose the list of breakpoints has a score of up to 10 points, and the list of a list of first breakpoints has a score of 5 points. Since the sale of the first breakpoint list is successful, it can be considered as (10-5)=5. The value of the sales agent's contribution to the first breakpoint list.

After the contribution value corresponding to each of the first breakpoint lists is determined, the agent level of the sales agent is determined according to the average value of the contribution values. The higher the average value, the higher the agent level of the sales agent. For example, suppose a total of n first breakpoint lists for a sales agent's historical sales success, and the list scores corresponding to the first breakpoint lists are respectively recorded as S1, S2, ..., Sn. Then the contribution value of the sales agent is avg=[(10- S1)+ (10-S2)+...+(10-Sn)]/n. It can be set that if the average value falls within the range of [0, 2], the seat level of the sales agent is level 1; if the average value falls within the range of (2, 4), the seat level of the sales agent is level 2; If the average value falls within the range of (4,6), the seat level of the sales agent is level 3; if the average value falls within the range of (6,8), the seat level of the sales agent is level 4; if the mean falls Within the range of (8, 10), the seat level of the sales agent is level 5.

In this embodiment, the sales agents with the same seat level can be classified into one agent skill group. For example, the seat skill group of the first level includes all the sales agents with the seat level of level 1.

104. Assign each of the target breakpoint lists to a sales agent of the agent level corresponding to the target breakpoint list.

It can be understood that, when the seat level corresponding to the target breakpoint list is determined, and the seat level of each sales agent is also known, each target breakpoint list can be assigned to the corresponding sales seat of the seat level to complete the target. A reasonable allocation of breakpoint lists. In particular, if the above-mentioned agent skill set is provided on the system, each target breakpoint list may be directly assigned to the corresponding seat skill group of the agent level, and then the target breakpoint list is assigned to each seat skill group, and then the agent is seated. The skill groups are each assigned to each sales agent.

Further, as shown in FIG. 7, the foregoing step 104 may include:

701. Search for a first sales agent whose agent level in each of the available sales agents is the same as the agent level corresponding to the target breakpoint list;

702. If only one of the first sales agents is found, assign the target breakpoint list to the first sales agent;

703. If two or more first sales agents are found, assign the target breakpoint list to the first sales agents that satisfy the preset determination condition among the two or more first sales agents.

For step 701, for example, if the target level corresponding to the target breakpoint list is 3, the sales agent with the agent level of 3 is found out from the assignable sales agents.

For step 702, the above example is taken. If there is only one level 3 sales agent found, the target breakpoint list is directly assigned to the level 3 sales agent.

In step 703, if two or more level 3 sales agents are found, since one target breakpoint list can generally be assigned to only one sales agent follow-up process, it is necessary to filter the two or more level 3 sales agents again. Faced with this situation, in the embodiment, a plurality of preset determination conditions are preset, and the preset determination conditions are used to measure the fit of the sales agent to the user of the target breakpoint list. It can be seen that the more predetermined judgment conditions that a sales agent satisfies, the more the sales agent matches the user of the target breakpoint list, and the success rate of the sales agent following the target breakpoint list is higher.

In this embodiment, the preset determination condition may include at least one of the following 1 to 5 conditions:

1. Determine whether the origin of the first sales agent is the same as the origin of the user of the target breakpoint list;

2. determining whether the common language of the first sales agent is the same as the common language of the user of the target breakpoint list;

3. determining whether the difference between the age of the first sales agent and the age of the user of the target breakpoint list is within a preset difference range;

4. determining whether the gender of the first sales agent is opposite to the gender of the user of the target breakpoint list;

5. Determine whether the education level of the first sales agent is the same as the education level of the user of the target breakpoint list.

The above conditions 1 to 5 are merely illustrative of the preset determination conditions, and are not intended to limit the specific contents of the embodiment.

Further, in some extreme cases, if two or more of the first sales agents are found and the first sales agent that satisfies the preset determination condition has more than two, the target may be broken. The point list is assigned to a first sales agent with the least amount of tasks currently following the breakpoint list in the first sales agent that satisfies the preset judgment condition, and further considers under the premise of reasonable allocation

In this embodiment, first, each target breakpoint list to be allocated to a sales agent is obtained, and each target breakpoint list includes one or more list attributes; and then, respectively, according to the list attribute of each of the target breakpoint lists, a list of the target breakpoint list, the higher the score of the list represents the higher the quality of the target breakpoint list; and then, the seat level corresponding to the list score of each of the target breakpoint lists is determined according to the preset matching relationship, The preset matching relationship refers to a correspondence between a list score of the breakpoint list and a seat level of the sales agent, wherein the seat level is determined by the list of the breakpoint list of the sales agent history sales success; Each of the target breakpoint lists is assigned to a sales agent of the agent level corresponding to the target breakpoint list. In this way, according to the correspondence between the list score of the target breakpoint list and the seat level, each target breakpoint list is respectively assigned to the sales agent of the corresponding seat level, which can make the sales agent's ability and the follow-up breakpoint list quality. Matching, to achieve the effect of a reasonable allocation of breakpoints list, thereby improving the sales success rate and business conversion rate of the breakpoint list.

It should be understood that the size of the sequence of the steps in the above embodiments does not mean that the order of execution is performed. The order of execution of each process should be determined by its function and internal logic, and should not be construed as limiting the implementation process of the embodiments of the present application.

The above mainly describes a method for allocating a list of breakpoints. A device for assigning a list of breakpoints will be described in detail below.

FIG. 8 is a structural diagram showing an embodiment of a device for allocating a breakpoint list in the embodiment of the present application.

In this embodiment, a device for distributing a breakpoint list includes:

The target list obtaining module 801 is configured to obtain each target breakpoint list to be allocated to the sales agent, and each target breakpoint list includes one or more list attributes;

The list score calculation module 802 is configured to calculate a list score of the target breakpoint list according to a list attribute of each of the target breakpoint lists, and a higher score of the list indicates that the quality of the target breakpoint list is higher;

The list correspondence level determining module 803 is configured to determine, according to the preset matching relationship, the agent level corresponding to the list score of each of the target breakpoint lists, where the preset matching relationship refers to the list score of the breakpoint list and the seat of the sales agent. Corresponding relationship between ranks, wherein the agent rank is determined by a list score of a list of breakpoints in which the sales agent history sales succeeds;

The list assigning module 804 is configured to respectively assign each of the target breakpoint lists to the sales agents of the agent level corresponding to the target breakpoint list.

Further, the seat level of the sales agent can be determined by the following modules:

a first score obtaining module, configured to obtain a list score of each first breakpoint list of the sales agent historical sales success;

a contribution value determining module, configured to determine, according to a list score of each of the first breakpoint lists, a contribution value of the sales agent to each of the first breakpoint lists;

The agent level determining module is configured to determine an agent level of the sales agent according to the determined average value of each of the contribution values, and the higher the average value, the higher the agent level of the sales agent.

Further, the list allocation module may include:

a first agent search unit, configured to search for a first sales agent whose agent level in each of the saleable seats is the same as the agent level corresponding to the target breakpoint list;

a first list allocating unit, configured to allocate the target breakpoint list to the first sales agent if only one of the first sales agents is found;

a second list allocating unit, configured to allocate the target breakpoint list to the first sales agent that satisfies the preset determination condition among the two or more first sales agents if the two or more first sales agents are found ;

The preset determination condition may include at least one of the following conditions:

Determining whether the origin of the first sales agent is the same as the origin of the user of the target breakpoint list;

Determining whether a common language of the first sales agent is the same as a common language of the user of the target breakpoint list;

Determining whether the difference between the age of the first sales agent and the age of the user of the target breakpoint list is within a preset difference range;

Determining whether the gender of the first sales agent is opposite to the gender of the user of the target breakpoint list;

It is determined whether the education level of the first sales agent is the same as the education level of the user of the target breakpoint list.

Further, the distribution device of the breakpoint list may further include:

a conditional allocation module, configured to allocate the target breakpoint list to the satisfaction if two or more first sales agents are found and the first sales agent that satisfies the preset determination condition has more than two The first sales agent with the least amount of tasks currently following the breakpoint list in the first sales agent with the most judgment condition is preset.

Further, the list score calculation module may include:

An attribute score calculation unit, configured to calculate an attribute score corresponding to each list attribute of each of the target breakpoint lists, where the attribute score of the list attribute is occupied by the list attribute in a historical breakpoint list of successful sales The size of the scale is positively correlated;

The list score calculation unit is configured to separately perform each of the target breakpoint lists: determining a list score of the one target breakpoint list according to each attribute score calculated under a target breakpoint list.

Further, the attribute score calculation unit may include:

a first attribute determining subunit, configured to determine a target list attribute that currently needs to calculate an attribute score;

a first quantity statistics subunit, configured to count a first number of breakpoint lists having the target list attribute in a historical breakpoint list of successful sales;

a first ratio calculation subunit, configured to calculate a first proportion of the first number of breakpoint lists in the historical breakpoint list;

The first score determining subunit is configured to determine an attribute score corresponding to the target list attribute according to the first ratio, and the larger the first ratio, the higher the determined attribute score.

Further, the attribute score calculation unit may include:

a second attribute determining subunit, configured to determine a target list attribute that currently needs to calculate an attribute score;

a score query sub-unit, configured to query a preset attribute score corresponding to the target list attribute;

a second score determining subunit, configured to determine the preset attribute score as an attribute score corresponding to the target list attribute;

The preset attribute score corresponding to the target list attribute may be preset by the following module:

a second quantity statistic module, configured to periodically count the second number of the breakpoint list having the target list attribute in the historical breakpoint list of the sales success;

a second ratio calculation module, configured to calculate a second proportion of the second number of breakpoint lists in the historical breakpoint list;

The preset score determining module is configured to determine a preset attribute score corresponding to the target list attribute according to the second ratio, and the second ratio is larger, the determined preset attribute score is higher.

Further, the list score calculation unit may include:

a first list score calculation sub-unit, configured to calculate a sum of respective attribute scores calculated under a target breakpoint list as a list score of the one target breakpoint list;

or

The accumulating subunit is configured to linearly accumulate each attribute score calculated under a target breakpoint list to obtain a first accumulated value;

a second list score calculation subunit, configured to calculate a mean value of each of the list attributes of the first target breakpoint list as the list score of the one target breakpoint list;

or

a third list score calculation sub-unit, configured to calculate a variance of the one target breakpoint list according to each attribute score calculated under a target breakpoint list, as a list score of the one target breakpoint list;

or

And a fourth list score calculation sub-unit, configured to calculate a standard deviation of the one target breakpoint list according to each attribute score calculated under a target breakpoint list, as a list score of the one target breakpoint list.

Further, the target breakpoint list may include one, two or more of the list attributes listed below;

The list attributes are phone number, license plate number, frame number, engine number, quoted price, insured, renewed insurance or new auto insurance.

FIG. 9 is a schematic diagram of a server according to an embodiment of the present application. As shown in FIG. 9, the server 9 of this embodiment includes a processor 90 and a memory 91 in which are stored computer readable instructions 92 executable on the processor 90, such as performing a breakpoint list. The procedure for assigning methods. The processor 90 executes the computer readable instructions 92 to implement the steps in the foregoing method for assigning each of the breakpoint lists, such as steps 101 through 104 shown in FIG. Alternatively, when the processor 90 executes the computer readable instructions 92, the functions of the modules/units in the various apparatus embodiments described above are implemented, such as the functions of the modules 801 to 804 shown in FIG.

Illustratively, the computer readable instructions 92 may be partitioned into one or more modules/units that are stored in the memory 91 and executed by the processor 90, To complete this application. The one or more modules/units may be a series of computer readable instruction segments capable of performing a particular function for describing the execution of the computer readable instructions 92 in the server 9.

The server 9 can be a computing device such as a local server or a cloud server. The server may include, but is not limited to, a processor 90, a memory 91. It will be understood by those skilled in the art that FIG. 9 is merely an example of the server 9, and does not constitute a limitation to the server 9, and may include more or less components than those illustrated, or some components may be combined, or different components, such as The server may also include an input and output device, a network access device, a bus, and the like.

The processor 90 can be a central processing unit (Central) Processing Unit, CPU), can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (Application Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor or any conventional processor or the like.

The memory 91 may be an internal storage unit of the server 9, such as a hard disk or a memory of the server 9. The memory 91 may also be an external storage device of the server 9, such as a plug-in hard disk equipped with the server 9, a smart memory card (SMC), and a Secure Digital (SD) card. Flash card (Flash Card) and so on. Further, the memory 91 may also include both an internal storage unit of the server 9 and an external storage device. The memory 91 is for storing the computer readable instructions and other programs and data required by the server. The memory 91 can also be used to temporarily store data that has been output or is about to be output.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.

The integrated unit, if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application, in essence or the contribution to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium. A number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application. The foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like, which can store program codes. .

The above embodiments are only used to explain the technical solutions of the present application, and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still The technical solutions described in the embodiments are modified, or the equivalents of the technical features are replaced by the equivalents. The modifications and substitutions of the embodiments do not depart from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

A method for allocating a list of breakpoints, comprising:

Obtain a list of each target breakpoint to be assigned to the sales agent, and each target breakpoint list includes more than one list attribute;

Calculating a list score of the target breakpoint list according to a list attribute of each of the target breakpoint lists, and the higher the list score, the higher the quality of the target breakpoint list;

Determining, by the preset matching relationship, the agent level corresponding to the list score of each of the target breakpoint lists, where the preset matching relationship refers to a correspondence between the list score of the breakpoint list and the agent level of the sales agent, wherein The agent level is determined by a list score of a list of breakpoints in which the sales agent historical sales succeeds;

And assigning each of the target breakpoint lists to a sales seat of the agent level corresponding to the target breakpoint list;

The seat level of the sales agent is determined by the following steps:

Obtaining a list score of each first breakpoint list of the sales agent historical sales success;

Determining, according to a list score of each of the first breakpoint lists, a contribution value of the sales agent to each of the first breakpoint lists;

And determining, according to the determined mean value of each of the contribution values, a seat level of the sales agent, wherein the higher the average value, the higher the seat level of the sales agent.
The method for assigning a breakpoint list according to claim 1, wherein the sales agents respectively assigning each of the target breakpoint lists to the agent level corresponding to the target breakpoint list include:

Finding a first sales agent in which the agent level in each of the sales agents that can be allocated is the same as the agent level corresponding to the target breakpoint list;

If only one of the first sales agents is found, assigning the target breakpoint list to the first sales agent;

If two or more of the first sales agents are found, the target breakpoint list is allocated to the first sales agents that satisfy the preset determination condition among the two or more first sales agents.
The method for allocating a breakpoint list according to claim 2, wherein the preset determination condition comprises at least one of the following conditions:

Determining whether the origin of the first sales agent is the same as the origin of the user of the target breakpoint list;

Determining whether a common language of the first sales agent is the same as a common language of the user of the target breakpoint list;

Determining whether the difference between the age of the first sales agent and the age of the user of the target breakpoint list is within a preset difference range;

Determining whether the gender of the first sales agent is opposite to the gender of the user of the target breakpoint list;

It is determined whether the education level of the first sales agent is the same as the education level of the user of the target breakpoint list.
The method for allocating a list of breakpoints according to claim 3, wherein the method for allocating the list of breakpoints further comprises:

If two or more of the first sales agents are found and the first sales agent that satisfies the preset determination condition has more than two, the target breakpoint list is allocated to the one that meets the preset determination condition. The first sales agent in the first sales agent who currently follows the breakpoint list with the least amount of tasks.
The method for assigning a list of breakpoints according to any one of claims 1 to 4, wherein the calculating the list score of the target breakpoint list according to the list attribute of each of the target breakpoint lists comprises:

Calculating an attribute score corresponding to each list attribute of each target breakpoint list, where the attribute score of the list attribute is positively correlated with a proportion of the list attribute in a historical breakpoint list of successful sales;

Performing each of the target breakpoint lists separately: determining a list score of the one target breakpoint list according to each attribute score calculated under a target breakpoint list.
A device for distributing a list of breakpoints, comprising:

a target list obtaining module, configured to obtain each target breakpoint list to be allocated to a sales agent, and each target breakpoint list includes one or more list attributes;

a list score calculation module, configured to calculate a list score of the target breakpoint list according to a list attribute of each of the target breakpoint lists, wherein a higher score of the list indicates that the quality of the target breakpoint list is higher;

The list corresponding level determining module is configured to determine, according to the preset matching relationship, the agent level corresponding to the list score of each of the target breakpoint lists, where the preset matching relationship refers to the list score of the breakpoint list and the seat level of the sales agent. Correspondence relationship, wherein the agent level is determined by a list score of a list of breakpoints in which the sales agent history sales succeeds;

And a list allocation module, configured to respectively allocate each of the target breakpoint lists to a sales agent of the agent level corresponding to the target breakpoint list.
The device for allocating a breakpoint list according to claim 6, wherein the first agent search unit is configured to search for the same seat level corresponding to the target breakpoint list in each of the assignable sales agents. a sales seat;

a first list allocating unit, configured to allocate the target breakpoint list to the first sales agent if only one of the first sales agents is found;

a second list allocating unit, configured to allocate the target breakpoint list to the first sales agent that satisfies the preset determination condition among the two or more first sales agents if the two or more first sales agents are found
The apparatus for allocating a breakpoint list according to claim 7, wherein the preset judgment condition comprises at least one of the following conditions:

Determining whether the origin of the first sales agent is the same as the origin of the user of the target breakpoint list;

Determining whether a common language of the first sales agent is the same as a common language of the user of the target breakpoint list;

Determining whether the difference between the age of the first sales agent and the age of the user of the target breakpoint list is within a preset difference range;

Determining whether the gender of the first sales agent is opposite to the gender of the user of the target breakpoint list;

It is determined whether the education level of the first sales agent is the same as the education level of the user of the target breakpoint list.
The apparatus for allocating a breakpoint list according to claim 8, further comprising:

a conditional allocation module, configured to allocate the target breakpoint list to the satisfaction if two or more first sales agents are found and the first sales agent that satisfies the preset determination condition has more than two The first sales agent with the least amount of tasks currently following the breakpoint list in the first sales agent with the most judgment condition is preset.
The apparatus for distributing a breakpoint list according to any one of claims 6 to 9, further comprising:

An attribute score calculation unit, configured to calculate an attribute score corresponding to each list attribute of each of the target breakpoint lists, where the attribute score of the list attribute is occupied by the list attribute in a historical breakpoint list of successful sales The size of the scale is positively correlated;

The list score calculation unit is configured to separately perform each of the target breakpoint lists: determining a list score of the one target breakpoint list according to each attribute score calculated under a target breakpoint list.
A server, comprising: a memory and a processor, wherein the memory stores computer readable instructions executable on the processor, the processor executing the computer readable instructions to:

Obtain a list of each target breakpoint to be assigned to the sales agent, and each target breakpoint list includes more than one list attribute;

Calculating a list score of the target breakpoint list according to a list attribute of each of the target breakpoint lists, and the higher the list score, the higher the quality of the target breakpoint list;

Determining, by the preset matching relationship, the agent level corresponding to the list score of each of the target breakpoint lists, where the preset matching relationship refers to a correspondence between the list score of the breakpoint list and the agent level of the sales agent, wherein The agent level is determined by a list score of a list of breakpoints in which the sales agent historical sales succeeds;

And assigning each of the target breakpoint lists to a sales seat of the agent level corresponding to the target breakpoint list;

The seat level of the sales agent is determined by the following steps:

Obtaining a list score of each first breakpoint list of the sales agent historical sales success;

Determining, according to a list score of each of the first breakpoint lists, a contribution value of the sales agent to each of the first breakpoint lists;

And determining, according to the determined mean value of each of the contribution values, a seat level of the sales agent, wherein the higher the average value, the higher the seat level of the sales agent.
The server according to claim 11, wherein the sales agents respectively assigning each of the target breakpoint lists to the agent level corresponding to the target breakpoint list include:

Finding a first sales agent in which the agent level in each of the sales agents that can be allocated is the same as the agent level corresponding to the target breakpoint list;

If only one of the first sales agents is found, assigning the target breakpoint list to the first sales agent;

If two or more of the first sales agents are found, the target breakpoint list is allocated to the first sales agents that satisfy the preset determination condition among the two or more first sales agents.
The server according to claim 12, wherein said preset determination condition comprises at least one of the following conditions:

Determining whether the origin of the first sales agent is the same as the origin of the user of the target breakpoint list;

Determining whether a common language of the first sales agent is the same as a common language of the user of the target breakpoint list;

Determining whether the difference between the age of the first sales agent and the age of the user of the target breakpoint list is within a preset difference range;

Determining whether the gender of the first sales agent is opposite to the gender of the user of the target breakpoint list;

It is determined whether the education level of the first sales agent is the same as the education level of the user of the target breakpoint list.
The server according to claim 13, wherein when said processor executes said computer readable instructions, the following steps are further implemented:

If two or more of the first sales agents are found and the first sales agent that satisfies the preset determination condition has more than two, the target breakpoint list is allocated to the one that meets the preset determination condition. The first sales agent in the first sales agent who currently follows the breakpoint list with the least amount of tasks.
The server according to any one of claims 11 to 14, wherein the calculating the list score of the target breakpoint list according to the list attribute of each of the target breakpoint lists includes:

Calculating an attribute score corresponding to each list attribute of each target breakpoint list, where the attribute score of the list attribute is positively correlated with a proportion of the list attribute in a historical breakpoint list of successful sales;

Performing each of the target breakpoint lists separately: determining a list score of the one target breakpoint list according to each attribute score calculated under a target breakpoint list.
A computer readable storage medium storing computer readable instructions, wherein the computer readable instructions, when executed by at least one processor, implement the following steps:

Obtain a list of each target breakpoint to be assigned to the sales agent, and each target breakpoint list includes more than one list attribute;

Calculating a list score of the target breakpoint list according to a list attribute of each of the target breakpoint lists, and the higher the list score, the higher the quality of the target breakpoint list;

Determining, by the preset matching relationship, the agent level corresponding to the list score of each of the target breakpoint lists, where the preset matching relationship refers to a correspondence between the list score of the breakpoint list and the agent level of the sales agent, wherein The agent level is determined by a list score of a list of breakpoints in which the sales agent historical sales succeeds;

And assigning each of the target breakpoint lists to a sales seat of the agent level corresponding to the target breakpoint list;

The seat level of the sales agent is determined by the following steps:

Obtaining a list score of each first breakpoint list of the sales agent historical sales success;

Determining, according to a list score of each of the first breakpoint lists, a contribution value of the sales agent to each of the first breakpoint lists;

And determining, according to the determined mean value of each of the contribution values, a seat level of the sales agent, wherein the higher the average value, the higher the seat level of the sales agent.
The computer readable storage medium according to claim 16, wherein the sales agents respectively assigning each of the target breakpoint lists to the agent level corresponding to the target breakpoint list include:

Finding a first sales agent in which the agent level in each of the sales agents that can be allocated is the same as the agent level corresponding to the target breakpoint list;

If only one of the first sales agents is found, assigning the target breakpoint list to the first sales agent;

If two or more of the first sales agents are found, the target breakpoint list is allocated to the first sales agents that satisfy the preset determination condition among the two or more first sales agents.
The computer readable storage medium of claim 17, wherein the predetermined determination condition comprises at least one of the following conditions:

Determining whether the origin of the first sales agent is the same as the origin of the user of the target breakpoint list;

Determining whether a common language of the first sales agent is the same as a common language of the user of the target breakpoint list;

Determining whether the difference between the age of the first sales agent and the age of the user of the target breakpoint list is within a preset difference range;

Determining whether the gender of the first sales agent is opposite to the gender of the user of the target breakpoint list;

It is determined whether the education level of the first sales agent is the same as the education level of the user of the target breakpoint list.
A computer readable storage medium according to claim 18, wherein when said computer readable instructions are executed by at least one processor, the steps of:

If two or more of the first sales agents are found and the first sales agent that satisfies the preset determination condition has more than two, the target breakpoint list is allocated to the one that meets the preset determination condition. The first sales agent in the first sales agent who currently follows the breakpoint list with the least amount of tasks.
The computer readable storage medium according to any one of claims 16 to 19, wherein the calculating the list score of the target breakpoint list according to the list attribute of each of the target breakpoint lists respectively comprises:

Calculating an attribute score corresponding to each list attribute of each target breakpoint list, where the attribute score of the list attribute is positively correlated with a proportion of the list attribute in a historical breakpoint list of successful sales;

Performing each of the target breakpoint lists separately: determining a list score of the one target breakpoint list according to each attribute score calculated under a target breakpoint list.