A method, apparatus, medium, equipment, and product for acquiring marketing leads.

Abstract

This application relates to the field of product marketing technology, specifically providing a method, apparatus, medium, equipment, and product for acquiring marketing leads. The method may include: obtaining the lead demand by the difference between the current available leads and the total target leads; processing leads selected from a lead pool to obtain a first marketing lead; and / or obtaining a second marketing lead from a marketing platform; wherein the total number of the first and second marketing leads is the lead demand. Embodiments of this application can achieve high-quality acquisition of marketing leads and improve marketing accuracy.

Description

Technical Field

[0001] This application relates to the field of product marketing technology, and more specifically, to a method, apparatus, medium, equipment, and product for obtaining marketing leads. Background Technology

[0002] The core of product marketing is to accurately convey product value to target users and drive them through the entire conversion process from awareness and interest to purchase and repeat purchase. A marketing lead is a user who shows interest in a product or service and has a certain purchasing potential; it is the core bridge connecting "brand exposure" to "final transaction."

[0003] Currently, product marketing requires advertising to capture user demand and generate marketing leads for different products. However, the relationship between advertising and actual conversion rates is prone to fluctuation, resulting in limited and inconsistent marketing leads. Consequently, it is difficult to provide users with precise marketing services, leading to low product conversion rates.

[0004] Therefore, how to provide a technical solution for acquiring high-quality marketing leads has become a technical problem that needs to be solved. Summary of the Invention

[0005] The purpose of some embodiments of this application is to provide a method, apparatus, medium, device and product for obtaining marketing leads. The technical solutions of the embodiments of this application can obtain high-quality marketing leads, realize precise marketing to users, improve marketing accuracy and enhance user experience.

[0006] In a first aspect, some embodiments of this application provide a method for obtaining marketing leads, including: obtaining the lead demand by the difference between the current available lead quantity and the total target lead quantity; obtaining a first marketing lead by processing the leads to be processed selected from the lead pool; and / or obtaining a second marketing lead from a marketing delivery platform; wherein the total number of the first marketing lead and the second marketing lead is the lead demand.

[0007] Some embodiments of this application, after determining the lead demand, can process the leads in the lead pool to obtain first marketing leads, and can also obtain second marketing leads from the marketing platform. The total number of both is the lead demand. By processing marketing leads and / or obtaining marketing leads from the marketing platform, the embodiments of this application can not only meet the quantity requirements, but also obtain high-quality marketing leads in a targeted manner, improving marketing accuracy and user experience.

[0008] In some embodiments, before obtaining the lead demand by the difference between the current available leads and the target total leads, the method further includes: determining the target total leads required in the current marketing scenario; filtering marketing leads at the target level from the lead pool, wherein the number of marketing leads is the current available leads; wherein the lead pool includes multiple marketing leads at various levels.

[0009] Some embodiments of this application first determine the target total number of marketing leads, and then filter out marketing leads that meet the grade requirements from the lead pool. This makes it easier to determine the current lead demand and provides a target for subsequent marketing lead acquisition.

[0010] In some embodiments, the multiple marketing leads under the various levels are obtained through the following steps: obtaining the lead features of each marketing lead among the multiple marketing leads; inputting the lead features of each marketing lead into a pre-trained conversion model to obtain the conversion rate of each marketing lead; comparing the conversion rate of each marketing lead with the level threshold to determine the level of each marketing lead; wherein, each level corresponds to at least one marketing lead.

[0011] Some embodiments of this application obtain the conversion rate of each marketing lead by combining the lead characteristics of each marketing lead with a conversion model; and compare it with the tier threshold to determine its level, thereby achieving effective and accurate classification of marketing lead levels.

[0012] In some embodiments, the step of processing the leads to be processed in the lead pool to obtain the first marketing lead includes: obtaining feature values ​​of different dimensions of the lead features to be processed; selecting the lead features to be enhanced based on the feature values; intervening in the feature values ​​of the lead features to be enhanced to obtain the intervention lead features; and determining that the intervention lead features meet the target level, then using the intervention lead features as the first marketing lead.

[0013] Some embodiments of this application determine the features of the leads to be enhanced by using feature values ​​of different dimensions in the leads to be processed, and then intervene in them to obtain the intervention lead features. If it is confirmed that the intervention leads meet the level requirements, they are used as the first marketing leads, thereby obtaining high-quality marketing leads.

[0014] In some embodiments, obtaining the second marketing lead from the marketing delivery platform includes: obtaining the marketing conversion relationship between the marketing advertising volume and the advertising marketing lead in the marketing delivery platform; generating advertising materials for different delivery channels; delivering the advertising materials in different delivery channels based on the marketing conversion relationship and the advertising materials; and obtaining the second marketing lead by collecting the delivery status of the advertising materials in different delivery channels.

[0015] Some embodiments of this application determine second marketing leads by analyzing the specific details of advertising materials placed on different channels within a marketing delivery platform, thereby extracting high-quality marketing leads.

[0016] In some embodiments, obtaining the marketing conversion relationship between marketing ad placement volume and advertising leads in the marketing placement platform includes: obtaining the placement conversion rate between the marketing ad placement volume and advertising leads, and obtaining the lead level of the advertising leads; wherein the conversion rate and the lead level constitute the marketing conversion relationship.

[0017] Some embodiments of this application determine marketing conversion relationships by analyzing the relationship between marketing ad placement volume and advertising leads, thus providing support for effective subsequent ad placement.

[0018] In some embodiments, obtaining the second marketing lead by collecting the placement status of the advertising materials under different placement channels includes: solving a cost objective function with the placement effectiveness rate and number of advertisements for each placement channel as a set of constraints, and the lead demand as another constraint, to obtain the number of leads in each placement channel; wherein the number of leads in all placement channels constitutes the second marketing lead.

[0019] Some embodiments of this application obtain the number of leads for each distribution channel by setting constraints and cost objective functions, thereby achieving accurate and effective acquisition of second marketing leads.

[0020] Secondly, some embodiments of this application provide a marketing lead acquisition apparatus, comprising: a demand module, configured to obtain a lead demand quantity by means of the difference between the current available lead quantity and the total target lead quantity; an acquisition module, configured to acquire a first marketing lead by processing the leads to be processed selected from the lead pool; and / or, acquire a second marketing lead from a marketing delivery platform; wherein the total number of the first marketing lead and the second marketing lead is the lead demand quantity.

[0021] In some embodiments, prior to the demand module, the apparatus further includes a filtering module, configured to: determine the total number of target leads required in the current marketing scenario; filter marketing leads at the target level from the lead pool, wherein the number of marketing leads is the currently available lead quantity; wherein the lead pool includes multiple marketing leads at various levels.

[0022] Thirdly, some embodiments of this application provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can implement the method described in any embodiment of the first aspect.

[0023] Fourthly, some embodiments of this application provide an electronic device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, can implement the method as described in any embodiment of the first aspect.

[0024] Fifthly, some embodiments of this application provide a computer program product, the computer program product including a computer program, wherein the computer program, when executed by a processor, can implement the method described in any embodiment of the first aspect. Attached Figure Description

[0025] To more clearly illustrate the technical solutions of some embodiments of this application, the accompanying drawings used in some embodiments of this application will be briefly described below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0026] Figure 1 One of the flowcharts for a marketing lead acquisition method provided for some embodiments of this application; Figure 2 A second flowchart illustrating a method for acquiring marketing leads provided for some embodiments of this application; Figure 3 Block diagram of a marketing lead acquisition apparatus provided for some embodiments of this application; Figure 4 A schematic diagram of an electronic device provided for some embodiments of this application. Detailed Implementation

[0027] The technical solutions of some embodiments of this application will now be described with reference to the accompanying drawings.

[0028] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, in the description of this application, terms such as "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0029] The core of online product marketing is to leverage digital channels to precisely reach target users and complete the conversion loop of "awareness - interest - purchase - repeat purchase" through content, activities, and data-driven approaches. Compared to offline marketing, it has advantages such as controllable costs, wide coverage, and traceable data, making it suitable for various products. Currently, product marketing employs diverse methods for acquiring marketing leads, resulting in inconsistent sales quality and hindering precise marketing to users.

[0030] In view of this, some embodiments of this application provide a method for acquiring marketing leads. This method allows setting a target total number of leads to be acquired, first filtering the currently available leads from a lead pool, and then determining the current lead demand. Finally, by intervening in the leads selected from the lead pool, a first marketing lead meeting quality requirements is obtained; and / or a second marketing lead is obtained from a marketing platform; wherein the number of the first and second marketing leads reaches the lead demand. Through the above embodiments of this application, high-quality marketing leads can be acquired, thereby improving the accuracy of marketing to users, enhancing user experience, and increasing marketing conversion rates.

[0031] The following is in conjunction with the appendix Figure 1 The present application provides an exemplary implementation process for acquiring marketing leads, which can be executed by various terminals with data processing capabilities. These terminals can be mobile terminals, non-portable computer terminals, or cloud or local server terminals; specific limitations are not imposed on the embodiments herein.

[0032] like Figure 1 As shown, some embodiments of this application provide a flowchart of a method for acquiring marketing leads. This method for acquiring marketing leads may include: S110, the lead requirement is obtained by the difference between the current available leads and the total target leads; For example, the main function of the marketing lead acquisition method provided in a specific embodiment of this application is to provide a specified number of high-quality leads that meet marketing expectations (as the target total number of leads), where one marketing lead corresponds to one marketable user. This specified number can be set according to the actual marketing scenario. For example, in the scenario of car purchase intention leads, a car dealership might need to provide two thousand (i.e., the specified number) high-quality marketing leads in a certain month. In this case, the number of currently available leads is first confirmed, and the difference between this and the specified number is used as the lead requirement to be generated. For example, if there are currently 900 available leads, then the lead requirement is 1100 leads.

[0033] In some embodiments of this application, before performing S110, the method for acquiring marketing leads may further include: determining the total number of target leads required in the current marketing scenario; filtering marketing leads at the target level from the lead pool, wherein the number of marketing leads is the number of currently available leads; wherein the lead pool includes multiple marketing leads at various levels.

[0034] For example, in a specific embodiment of this application, relevant personnel can specify the number of marketing leads of a specified quality required for the current marketing campaign based on the actual marketing scenario. For example, the aforementioned two thousand leads. Then, currently available leads of grade A (as a specific example of the target grade) are selected from the current customer pool (as a specific example of a lead pool). The customer pool contains multiple marketing leads at various grades; for example, lead grades can be divided into grades A, B, and C, etc., sorted from highest to lowest quality. For example, grade A leads are currently marketable, grade B leads are of medium quality, and grade C leads are of poor quality.

[0035] In some embodiments of this application, multiple marketing leads at various levels are obtained through the following steps: obtaining the lead features of each marketing lead; inputting the lead features of each marketing lead into a pre-trained conversion model to obtain the conversion rate of each marketing lead; comparing the conversion rate of each marketing lead with a level threshold to determine the level of each marketing lead; wherein, each level corresponds to at least one marketing lead.

[0036] For example, in a specific embodiment of this application, a lead quantification rating agent is deployed in the terminal, which mainly performs machine learning quantification modeling on marketing leads within the customer pool. Based on the model scoring results and the conversion rate relationship of each score segment, a lead rating is given. Specifically, by extracting corresponding lead features for each marketing lead, a pre-trained machine learning model (as a specific example of a conversion model) is used to predict the lead's conversion rate; the conversion rate ranges from 0 to 1. The predicted probability value (i.e., conversion rate) of each marketing lead can be seen as the customer's in-store test drive conversion rate corresponding to that lead. Different scoring segments will have corresponding overall conversion rates for the leads as a whole, for example, calculated using a weighted average of (K1*SCORE1+...+Kn*SCOREn) / (K1+...+Kn), where K1~Kn are weight values, and SCORE1~SCOREn are the conversion rates of different scoring segments.

[0037] Based on the predicted conversion rate and the set threshold values, each marketing lead is categorized into different levels. For example, the threshold values ​​might be 60% and 20%. Leads with a conversion rate above 60% are classified as Level A leads; those between 20% and 60% are Level B leads; and those below 20% are Level C leads. The conversion rate is a probability value predicted by the model. The 20% and 60% values ​​are merely illustrative examples of the threshold values; they can be considered hyperparameters, and the boundaries of these 20% and 60% conversion rate levels are typically determined based on business ROI calculations.

[0038] Furthermore, taking the automotive scenario as an example, the cue features that can be used during the training of its machine learning model include multi-dimensional features such as vehicle model matching degree (e.g., user's interest in photography, need for modification, and matching purchase budget), purchase intention degree (e.g., high article readership and reply frequency greater than 3 times / week), and purchase time (e.g., old car is ready to be sold, funds will be available in three months). The machine learning model is trained using these cue features and the final conversion rate samples based on these features, resulting in the trained machine learning model.

[0039] S120, by processing the leads to be processed in the lead pool, a first marketing lead is obtained; and / or, a second marketing lead is obtained from the marketing platform; wherein, the total number of the first marketing lead and the second marketing lead is the lead demand.

[0040] For example, in a specific embodiment of this application, marketing leads corresponding to the lead demand are obtained by invoking at least one of the existing lead intervention agent and the new lead acquisition agent, thereby achieving the target total number of leads. Whether one or both of the existing lead intervention agent and the new lead acquisition agent are used can be selected according to the actual situation, and this embodiment of the application does not specifically limit this choice.

[0041] The following sections will explain the two processes for obtaining marketing leads.

[0042] In some embodiments of this application, the step of processing the leads to be processed in the lead pool to obtain the first marketing lead includes: obtaining feature values ​​of different dimensions of the lead features to be processed; selecting the lead features to be enhanced based on the feature values; intervening in the feature values ​​of the lead features to be enhanced to obtain the intervention lead features; determining that the intervention lead features meet the target level, and then using the intervention lead features as the first marketing lead.

[0043] For example, in a specific embodiment of this application, the existing lead intervention agent primarily intervenes in B-level and C-level leads within the quantified customer pool, aiming to cultivate them into leads approaching A-level. "Intervention" is a gain acquisition method in causal inference; by intervening in the values ​​of certain dimensional features of a lead, the model's score for the lead can be changed. The "intervention" of the lead's feature values ​​corresponds to the practical operation of changing the physical state of the corresponding lead through the existing lead intervention agent. As the physical state of the lead changes, the extracted lead features will also change accordingly.

[0044] Specifically, the process begins by determining the feature values ​​of clues across different dimensions within the pending leads. These feature values ​​are then used to select the features of the leads requiring enhancement for intervention, resulting in intervention clue features. For example, if a feature value is below a set threshold, its corresponding feature is considered the lead feature requiring enhancement. Taking the automotive scenario as an example, the dimensions of the pending leads could include vehicle model matching, purchase intention, and purchase time. Intervention methods include: for leads with high vehicle model matching and purchase intention, but a long purchase timeframe (e.g., funds expected in January, but the old car hasn't been sold), expediting the old car's disposal, providing financing options, or year-end promotions can shorten the time. For leads with suitable vehicle model matching and purchase time, but low purchase intention (low read rate, few responses), more personalized communication, phone follow-ups, or dedicated consultants can improve interaction. For leads with high purchase intention and purchase time, but low vehicle model matching (e.g., lack of knowledge about the model), test drive invitations, content pushes, and in-depth model introductions can improve matching. It's understandable that the dimensions of the pending leads and the methods of intervention can be flexibly set for different marketing scenarios.

[0045] After applying the above intervention, intervention clue features are obtained. Then, a grade calculation is performed on these intervention clue features to determine whether they meet the Grade A standard. For example, the machine learning model described above can be used to predict the conversion rate of the intervention clue features to determine whether they meet the Grade A standard. Since the model prediction process strongly depends on the feature values ​​xi (i is a positive integer) of each dimension of the clue, the predicted conversion rate of the clue can be influenced by the feature values ​​of certain dimensions of the intervention clue.

[0046] In some embodiments of this application, obtaining the second marketing lead from the marketing delivery platform includes: S1. Obtain the marketing conversion relationship between the amount of marketing ads placed and the marketing leads in the marketing platform.

[0047] For example, in a specific embodiment of this application, the relationship between the amount of marketing ads placed on each marketing platform and the increase in leads (i.e., advertising marketing leads) is calculated. Specifically, small-scale traffic experiments are conducted on each channel under the marketing platform to determine the marketing conversion relationship, and the scale is expanded after the effectiveness is evaluated.

[0048] In this embodiment of the application, S1 may include obtaining the conversion rate between the marketing advertising volume and the advertising marketing leads, and obtaining the lead level of the advertising marketing leads; wherein, the conversion rate and the lead level constitute the marketing conversion relationship.

[0049] For example, in a specific embodiment of this application, the conversion rate is calculated based on the relationship between ad delivery volume and lead increment. Conversion rate = Lead increment (new lead acquisition) / Number of users reached by the ad delivery (i.e., ad delivery volume). Then, the leads in the lead increment are rated to obtain lead levels. Subsequently, combined with the campaign cost, the trend of campaign performance can be continuously monitored for marketing campaign platforms that meet the performance targets to obtain high-quality marketing leads. Whether the performance targets are met can be determined from multiple indicators, such as lead effectiveness rate, maximum lead output, cost per lead, and lead quality.

[0050] S2. Generate advertising materials for different delivery channels; based on the marketing conversion relationship and the advertising materials, deliver the advertising materials in different delivery channels.

[0051] For example, in a specific embodiment of this application, the advertising materials mainly consist of text, images, audio, and video materials, which are generated based on a multi-agent workflow. For instance, a text-to-video workflow built on Coze can be used, where workflow nodes call large language models, large image generation models, and large video generation models to generate advertising materials. During the generation of advertising materials, simple differentiation can be applied to the characteristics of materials for different advertising channels, such as matching the style and tone of different media or addressing the different image size requirements of different channels.

[0052] S3. Obtain the second marketing lead by collecting the placement status of the advertising materials under different placement channels.

[0053] For example, in some embodiments of this application, after an advertisement is successfully placed, statistics can be collected based on user behavior such as the advertisement's exposure rate, click-through rate, and page views to obtain a second marketing lead.

[0054] In some embodiments of this application, S3 may include: solving a cost objective function with the effective rate of advertising materials and the number of advertisements in each of the different advertising channels as a set of constraints, and the lead demand as another constraint, to obtain the number of leads in each advertising channel; wherein the number of leads in all advertising channels constitutes the second marketing lead.

[0055] For example, in a specific embodiment of this application, each distribution channel is comprehensively evaluated from the perspectives of cost, efficiency, and maximum monthly output, and the volume of each distribution channel is allocated to obtain a corresponding number of marketing leads from each distribution channel.

[0056] For example, when targeting a specific car brand, the following calculation process can be used to generate marketing leads through campaign analytics: To achieve the goal of acquiring 800 leads this month, it's necessary to comprehensively consider the lead costs, effectiveness, and output limitations of vertical media, advertising, and telemarketing channels. The following is the reasoning process for a combined campaign strategy: Based on industry experience, the following are the key parameters for each channel for a single brand: 1) Vertical Media (Automotive Marketing Apps): High-quality leads, but high cost. Assuming a cost of 100 yuan per lead, a 20% effectiveness rate, and a maximum monthly output of 450 leads.

[0057] 2) Advertising (various application software): moderate cost and quality of leads. Assuming a cost of 200 yuan per lead, an effectiveness rate of 15%, and a maximum monthly output of 1000 leads.

[0058] 3) Targeted Marketing: Low cost per lead, but lower quality. Assuming a cost of 100 yuan per lead, an effectiveness rate of 22%, and a maximum monthly output of 300 leads.

[0059] The campaign will utilize the three channels mentioned above to acquire 800 new leads, balancing cost and quality. An overall lead effectiveness rate of at least 20% will be set (as a concrete example of campaign effectiveness) to ensure a sufficient number of high-intent customers and improve subsequent conversion rates.

[0060] Let X1 be the number of leads from vertical media, X2 be the number of leads from advertising, and X3 be the number of leads from targeted marketing. Build the model as follows: Total number of clues: X1 + X2 + X3 = 800 Production constraints: 0 ≤ X1 ≤ 450, 0 ≤ X2 ≤ 1000, 0 ≤ X3 ≤ 280 Quality constraint (overall effectiveness ≥ 20%): (0.2 X1 + 0.15 X2 + 0.22 X3) / 800 ≥ 0.2 0.2 X1 + 0.15 X2 + 0.22 X3 ≥ 160 Cost objective function: Total cost C = 100 X1 + 200 X2 + 100 X3.

[0061] Among them, the total number of leads (i.e. the demand for leads) is a constraint condition, while the output constraint and the quality constraint constitute a set of constraints conditions.

[0062] Minimizing the total cost while satisfying the above constraints is transformed into a linear programming problem. By analyzing the feasible region (detailed calculations omitted), the optimal solution is obtained: X1 = 450 (vertical media), X2 = 70 (advertisements), X3 = 280 (targeted marketing). Total cost: 100 × 450 + 200 × 70 + 100 × 280 = 87,000 yuan Overall effectiveness: (0.2×450 + 0.15×70 + 0.22×280) / 800 = 20.2625% > 20%, which meets the quality requirements.

[0063] The above approach achieves a balance between cost and quality in the current strategy (450 vertical media articles, 70 advertising articles, and 280 targeted marketing articles), fully utilizing the output limits of each channel while ensuring overall efficiency. In actual implementation, adjustments can be made dynamically based on the real-time performance of each channel to ensure the target (i.e., the required number of leads) is met.

[0064] The following is in conjunction with the appendix Figure 2 The implementation process of marketing lead acquisition provided by some embodiments of this application is illustrated by way of example.

[0065] Please see the appendix Figure 2 , Figure 2 A flowchart illustrating a method for acquiring marketing leads, provided for some embodiments of this application.

[0066] The above process is illustrated below by example.

[0067] S210, Determine the total number of target leads required in the current marketing scenario.

[0068] S220 filters currently available marketing leads that are at the A level from the customer pool.

[0069] S230: The lead requirement is obtained by the difference between the current available leads and the total target leads.

[0070] S240 obtains the first marketing lead by processing the leads to be processed in the lead pool.

[0071] S250 generates secondary marketing leads from marketing platforms.

[0072] The total number of first and second marketing leads represents the lead demand.

[0073] It is understood that the specific implementation process of S210~S250 can be referred to the method embodiment provided above. To avoid repetition, detailed descriptions are omitted here.

[0074] Please refer to Figure 3 , Figure 3 The diagram illustrates a block diagram of a marketing lead acquisition apparatus provided in some embodiments of this application. It should be understood that this marketing lead acquisition apparatus corresponds to the method embodiments described above and is capable of performing the various steps involved in the method embodiments. The specific functions of this marketing lead acquisition apparatus can be found in the description above; detailed descriptions are omitted here to avoid repetition.

[0075] Figure 3 The marketing lead acquisition device includes at least one software function module that can be stored in a memory or embedded in the marketing lead acquisition device in the form of software or firmware. The marketing lead acquisition device includes: a demand module 310, used to obtain the lead demand quantity by the difference between the current available lead quantity and the total target lead quantity; an acquisition module 320, used to obtain a first marketing lead by processing the leads to be processed in the lead pool; and / or, to obtain a second marketing lead from the marketing delivery platform; wherein the total number of the first marketing lead and the second marketing lead is the lead demand quantity.

[0076] In some embodiments of this application, before the demand module 310, the marketing lead acquisition device may further include a filtering module (not shown in the figure) for: determining the total number of target leads required in the current marketing scenario; filtering marketing leads at the target level from the lead pool, wherein the number of marketing leads is the current available lead quantity; wherein the lead pool includes multiple marketing leads at multiple levels.

[0077] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working process of the device described above can be referred to the corresponding process in the aforementioned method, and will not be elaborated further here.

[0078] Some embodiments of this application also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, can perform the operation of any of the methods corresponding to the methods provided in the above embodiments.

[0079] Some embodiments of this application also provide a computer program product, which includes a computer program, wherein when the computer program is executed by a processor, it can implement the operation of any of the methods corresponding to the above embodiments provided in the above embodiments.

[0080] like Figure 4 As shown, some embodiments of this application provide an electronic device 400, which includes a memory 410, a processor 420, and a computer program stored in the memory 410 and executable on the processor 420. When the processor 420 reads the program from the memory 410 via a bus 430 and executes the program, it can implement the methods of any of the above embodiments.

[0081] Processor 420 can process digital signals and may include various computing architectures. For example, it may be a complex instruction set computer architecture, a reduced instruction set computer architecture, or an architecture that implements multiple instruction set combinations. In some examples, processor 420 may be a microprocessor.

[0082] Memory 410 can be used to store instructions executed by processor 420 or data related to the execution of instructions. These instructions and / or data may include code for implementing some or all of the functions of one or more modules described in the embodiments of this application. The processor 420 of this disclosure embodiment can be used to execute instructions in memory 410 to implement the methods shown above. Memory 410 includes dynamic random access memory, static random access memory, flash memory, optical memory, or other memories well known to those skilled in the art.

[0083] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application. It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures.

[0084] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0085] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

Claims

1. A method for acquiring marketing leads, characterized in that, include: The required number of leads is obtained by calculating the difference between the current number of available leads and the total number of target leads. The first marketing lead is obtained by processing the leads selected from the lead pool; and / or, the second marketing lead is obtained from the marketing platform; wherein the total number of the first marketing lead and the second marketing lead is the lead demand.

2. The method as described in claim 1, characterized in that, Before obtaining the lead demand by the difference between the current available leads and the total target leads, the method further includes: Determine the total number of target leads required in the current marketing scenario; Marketing leads at the target level are selected from the lead pool, and the number of marketing leads is the current available lead count; wherein, the lead pool includes multiple marketing leads at various levels.

3. The method as described in claim 2, characterized in that, The multiple marketing leads across various levels are obtained through the following steps: Obtain the lead characteristics of each marketing lead from the multiple marketing leads; The lead characteristics of each marketing lead are input into a pre-trained conversion model to obtain the conversion rate of each marketing lead; The conversion rate of each marketing lead is compared with the tier threshold to determine the tier of each marketing lead; wherein each tier corresponds to at least one marketing lead.

4. The method according to any one of claims 1-3, characterized in that, The process of obtaining the first marketing lead by processing the leads selected from the lead pool includes: Obtain the feature values ​​of different dimensions of clue features in the clues to be processed; The feature values ​​are used to select the cue features to be enhanced. Intervene on the feature values ​​of the cue features to be enhanced to obtain intervention cue features; If the intervention clue characteristics are determined to meet the target level, then the intervention clue characteristics are used as the first marketing clue.

5. The method according to any one of claims 1-3, characterized in that, The step of obtaining the second marketing lead from the marketing platform includes: Obtain the marketing conversion relationship between the amount of marketing ads placed and the marketing leads in the marketing platform; Generate advertising creatives for different delivery channels; Based on the marketing conversion relationship and the advertising creative, the advertising creative is deployed in different advertising channels; The second marketing lead is obtained by collecting the placement status of the advertising materials under different placement channels.

6. The method as described in claim 5, characterized in that, The step of obtaining the marketing conversion relationship between marketing ad placement volume and ad marketing leads in the marketing placement platform includes: The conversion rate between the marketing ad placement volume and the advertising leads is obtained, as well as the lead level of the advertising leads; wherein the conversion rate and the lead level constitute the marketing conversion relationship.

7. The method as described in claim 5, characterized in that, The step of obtaining the second marketing lead by collecting the delivery status of the advertising materials under different delivery channels includes: Using the effectiveness rate and number of ads placed in each of the different placement channels as a set of constraints, and the lead demand as another constraint, the cost objective function is solved to obtain the number of leads in each placement channel; wherein, the number of leads in all placement channels constitutes the second marketing lead.

8. A device for acquiring marketing leads, characterized in that, include: The demand module is used to calculate the demand for leads by the difference between the current number of available leads and the total number of target leads. The acquisition module is used to acquire a first marketing lead by processing the leads to be processed in the lead pool; and / or acquire a second marketing lead from the marketing platform; wherein the total number of the first marketing lead and the second marketing lead is the lead demand.

9. The apparatus as claimed in claim 8, characterized in that, Prior to the demand module, the apparatus further includes a screening module, used for: Determine the total number of target leads required in the current marketing scenario; Marketing leads at the target level are selected from the lead pool, and the number of marketing leads is the current available lead count; wherein, the lead pool includes multiple marketing leads at various levels.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program is executed by a processor to perform the method as described in any one of claims 1-7.

11. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and running on the processor, wherein the computer program is executed by the processor to perform the method as described in any one of claims 1-7.

12. A computer program product, characterized in that, The computer program product includes a computer program, wherein the computer program is executed by a processor to perform the method as described in any one of claims 1-7.

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