CN109544212A - A kind of solid shop/brick and mortar store intelligence automatic telephone marketing method - Google Patents
A kind of solid shop/brick and mortar store intelligence automatic telephone marketing method Download PDFInfo
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- CN109544212A CN109544212A CN201811254822.7A CN201811254822A CN109544212A CN 109544212 A CN109544212 A CN 109544212A CN 201811254822 A CN201811254822 A CN 201811254822A CN 109544212 A CN109544212 A CN 109544212A
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- 239000011449 brick Substances 0.000 title claims abstract description 46
- 239000004570 mortar (masonry) Substances 0.000 title claims abstract description 46
- 239000007787 solid Substances 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 19
- 239000000523 sample Substances 0.000 claims abstract description 44
- 238000006243 chemical reaction Methods 0.000 abstract description 5
- 230000000694 effects Effects 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 4
- 238000012216 screening Methods 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003032 molecular docking Methods 0.000 description 1
- 230000001681 protective effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0281—Customer communication at a business location, e.g. providing product or service information, consulting
Abstract
The present invention provides a kind of solid shop/brick and mortar store intelligence automatic telephone marketing methods, it include: the deployment WIFI probe device in solid shop/brick and mortar store, customer is entering in shop or is passing by shop, in WIFI probe device coverage area, the signal of the mobile phone terminal meeting automatically scanning WIFI probe device of customer, after WIFI probe device receives request, a unique identification is generated to mobile phone terminal automatically, and be uploaded to server；Server record and calculate customer's related data, including record customer come to visit number, stop product locations, action trail in shop every time, calculate customer's residence time in shop every time；Solid shop/brick and mortar store customer model is established according to above-mentioned data, analyze and classify to customer by solid shop/brick and mortar store customer model, different Information Push Services is carried out to different classes of customer.The present invention can achieve the purpose that precision marketing crowd, improve secondary consumption conversion and put into supernumerary's power, and multiple purchase rate can be improved.
Description
Technical field
Present invention relates particularly to a kind of solid shop/brick and mortar store intelligence automatic telephone marketing methods.
Background technique
The marketing method of existing solid shop/brick and mortar store mainly engages people to distribute leaflets in region, is publicized by leaflet, tradition
The shortcomings that marketing method is low efficiency and human cost is higher, can not monitoring effect.Solid shop/brick and mortar store is not available Internet advertising yet,
Internet advertising region crowd can not be accurate, and especially indoors, marketing cost is high, and Internet advertising is to professional skill
It there are certain requirements, it is generally smaller as solid shop/brick and mortar store, high advertising expense can not be undertaken, pressure will also result in human cost.
Summary of the invention
It is an object of the present invention to solve the deficiency of the existing technology and provide a kind of solid shop/brick and mortar store intelligence automatic telephone marketing sides
Method.
The purpose of the present invention is what is be achieved through the following technical solutions:
A kind of solid shop/brick and mortar store intelligence automatic telephone marketing method, comprising:
WIFI probe device is disposed in solid shop/brick and mortar store, customer is entering in shop or passing by shop, in WIFI probe device
In coverage area, the signal of the mobile phone terminal meeting automatically scanning WIFI probe device of customer, after WIFI probe device receives request,
Automatically a unique identification is generated to mobile phone terminal, and is uploaded to server；
Server record and calculating customer's related data, including record the visiting number of customer, stop product locations, shop every time
Interior action trail calculates customer's residence time in shop every time；Solid shop/brick and mortar store customer model is established according to above-mentioned data, passes through reality
Body shop customer model analyze and classify to customer, and classification includes patron, new customer, potential customer；To inhomogeneity
Other customer carries out different Information Push Services.
Further, WIFI probe, WIFI probe emission WIFI probe signals, WIFI are equipped in the WIFI probe device
Probe signals are covered in solid shop/brick and mortar store.
Further, customer uploads primary mark for every 30 seconds to server within the scope of WIFI probe signals；If server
Continue not receive an identification information in, then judge that the customer has been moved off, is subtracted with last uplink time and uploaded for the first time
Time calculates the residence time of customer.
Further, customer after leaving in shop within an hour, and enter in shop, server receives upload mark, then
It is judged as primary visiting；If customer is leaving in shop after more than one hour, and enters in shop, server receives upload
Mark, then be judged as visiting twice.
Further, the WIFI probe device for being deployed in different commodity areas is numbered, passes through different WIFI probe devices
To the recognition time of customer's mobile phone terminal, the action trail of the stop product locations and customer of customer in shop is judged.
Further, a variety of labels of customer, including hobby, gender, age bracket are analyzed by solid shop/brick and mortar store customer model,
Solid shop/brick and mortar store customer model is learnt perfect automatically by the customer data of real-time update.
In conclusion by adopting the above-described technical solution, compared with prior art, the present invention having the advantage that
The present invention is directed to the marketing product of solid shop/brick and mortar store, the mesh that can reach precision marketing crowd, improve secondary consumption conversion
, and without putting into supernumerary's power.The present invention markets to solid shop/brick and mortar store, as long as obtaining there are shop periphery and having potential disappear
Marketing is fixed for this part population in the crowd for taking intention, and suitable product information can also be pushed for crowd's attribute,
The crowd that post-consumer can also be marked off simultaneously carries out secondary marketing to this part population, improves purchase rate again.
Specific embodiment
A specific embodiment of the invention is further described in detail below.
The present invention provides a kind of solid shop/brick and mortar store intelligence automatic telephone marketing methods, comprising:
WIFI probe device is disposed in solid shop/brick and mortar store, and WIFI probe, WIFI probe emission are equipped in WIFI probe device
WIFI probe signals, WIFI probe signals are covered in solid shop/brick and mortar store.If customer enters in shop or passes by shop, as long as
In WIFI probe signals coverage area, the mobile phone terminal meeting automatically scanning WIFI probe signals of customer, then WIFI probe device meeting
Automatically a unique identification is generated to customer's mobile phone terminal, and is uploaded to server.
Server record and calculating customer's related data, the product locations stopped including the visiting number of record customer, every time,
Action trail etc. in shop calculates customer's residence time in shop every time；Solid shop/brick and mortar store customer's mould is established according to above-mentioned data
Type analyze and classify to customer by solid shop/brick and mortar store customer model, it is preferred that customer can be divided into patron, new
Customer, potential customer.
Customer a variety of labels, including hobby, gender, age bracket etc., entity are analyzed by solid shop/brick and mortar store customer model
Shop customer model is learnt perfect automatically by the customer data of real-time update, and the data of upload are more, and model is more perfect, more
Potential crowd in shop can precisely be divided.
As long as in the coverage area of WIFI probe signals, will can not timing transmit unique identification to server.Customer
It after leaving WIFI probe signals coverage area, is no longer transmitted, WIFI probe device is not influenced by indoor and outdoor, signal covering
Range is wide, and it is more accurate to obtain potential customer to solid shop/brick and mortar store.
After analyzing by solid shop/brick and mortar store customer model customer, different information push clothes are carried out for different customers
Business.
Specifically, the calculating about customer's residence time in shop, preferably, customer is covered in WIFI probe signals
When within the scope of lid, primary mark is uploaded within every 30 seconds to server；If server continues not receive an identification information in,
Judge that the customer has been moved off, first time uplink time is subtracted with last uplink time, calculates the residence time of customer.
It comes to visit the record of number about customer, preferably, if customer left in shop within the latter hour
(including a hour), and enter in shop, server receives upload mark, then is judged as primary visiting.If customer exists
It leaves in shop after more than one hour, and enters in shop, server receives upload mark, then is judged as visiting twice.
The record of the product locations and action trail that are stopped in shop about customer, preferably, to being deployed in
The WIFI probe device in different commodity areas is numbered, when by different WIFI probe devices to the identification of customer's mobile phone terminal
Between, judge the action trail of the product locations and customer of customer's stop in shop.For example, equipment 1 collects customer's mobile phone end
Client information, equipment 2 also collects customer's information of mobile phone terminal after spending 2 minutes, illustrates that customer has been transferred to commodity from commodity area 1
In area 2, while it can analyze out customer and have demand to what kind of commodity, also can analyze out what demand customer is in
Stage, for example fit up medium；The kinsfolk of customer can also be analyzed, for example family there are children etc., can also analyze customer
The attributes such as attribute, including gender, age bracket.
There is the customer of demand or hobby to carry out information push the possibility that the above solid shop/brick and mortar store customer model analyzes, it can be with
Effect monitoring is done to the customer for having pushed marketing, whether record customer carrys out shop consumption after receiving pushed information.
According to the analysis of solid shop/brick and mortar store customer model, classification is carried out to the commodity or service sold and is entered into server system
In, such as: there are baby in women, family.In pushed information, solid shop/brick and mortar store customer model is selected, server system can be automatically according to choosing
The solid shop/brick and mortar store customer model selected matches the commodity of suitable different attribute crowd in lane database, that is, is directed to hobby, the property of crowd
Not Deng the suitable customer of other attributes push commercial activities information, reaching the action message that customer sees is that customer is having and needs
It asks, promotes customer's conversion ratio, improve the multiple purchase rate of customer.
, by user terminal unique identification, commercial activities information can be pushed to specified customer with monitoring effect simultaneously
It is the same customer by the judgement of consumer terminal unique identification, then if customer has come the commodity area in N days after going out
Play the role of monitoring effect, while also perfect solid shop/brick and mortar store customer model.
Marketing message can carry out initial communication screening by artificial intelligence phone robot, and phone robot may be implemented
Voice semantics recognition, designs communication, records artificial speech, and preliminary and one communication screening of potential customer reduces people
Power cost.
By docking operator's big data api interface, realization is supplied to operator by customer's mobile phone terminal unique identification,
Then customer's phone number is matched in operator's big data, customer's real handset number is passed through intermediate virtual number (AXB) mould
Formula (reference: intermediate virtual number), returns to virtual number, and virtual number is sent to AI phone robot automatically by system, passes through
Virtual number is put through for VOS and gateway and customer call using intermediate virtual number is customer's cell-phone number leakage in order to prevent,
It plays a protective role to customer's cell-phone number.Art script if setting in advance is passed through at the beginning of voice semantics recognition and customer after putting through
Step dialogue is linked up, if customer has said some intention words in communication, such as: can with, agree to, it is interested, the words such as to buy, can
It is customized, then it stamps intention customer's label automatically to customer, is manually paying a return visit.The above method passes through robot preliminary screening, section
It saves labor costs.
Using method of the invention, whole process only needs to dispose WIFI probe device in shop, so that it may directly obtain
Intention customer saves human cost, dives in no reduce without engaging professional marketing personnel, the personnel that distribute leaflets, electric pin personnel etc.
Marketing crowd and marketing cost are controlled in customer base, are increased customer's conversion ratio, are realized automation telemarketing.
The present invention is directed to the marketing product of solid shop/brick and mortar store, the mesh that can reach precision marketing crowd, improve secondary consumption conversion
, and without putting into supernumerary's power.The present invention markets to solid shop/brick and mortar store, as long as obtaining there are shop periphery and having potential disappear
Marketing is fixed for this part population in the crowd for taking intention, and suitable product information can also be pushed for crowd's attribute,
The crowd that post-consumer can also be marked off simultaneously carries out secondary marketing to this part population, improves purchase rate again.Marketing is not necessarily to
Supernumerary's power is put into, automatic identification divides crowd, automatically by AI smart phone machine people and client's initial communication screening meaning
To client.
Embodiment described above is merely to illustrate technical idea and feature of the invention, in the art its object is to make
Technical staff can understand the content of the present invention and implement it accordingly, patent model of the invention only cannot be limited with the present embodiment
It encloses, i.e., it is all according to same changes or modifications made by disclosed spirit, it still falls in the scope of the patents of the invention.
Claims (6)
1. a kind of solid shop/brick and mortar store intelligence automatic telephone marketing method characterized by comprising
WIFI probe device is disposed in solid shop/brick and mortar store, customer is entering in shop or passing by shop, covering in WIFI probe device
In range, the signal of the mobile phone terminal meeting automatically scanning WIFI probe device of customer, after WIFI probe device receives request, automatically
One unique identification is generated to mobile phone terminal, and is uploaded to server；
Server record and calculating customer's related data, including record the visiting number of customer, stop product locations, shop expert every time
For track, customer's residence time in shop every time is calculated；Solid shop/brick and mortar store customer model is established according to above-mentioned data, passes through solid shop/brick and mortar store
Customer model analyze and classify to customer, and classification includes patron, new customer, potential customer；To different classes of
Customer carries out different Information Push Services.
2. a kind of solid shop/brick and mortar store intelligence automatic telephone marketing method according to claim 1, which is characterized in that in the WIFI
WIFI probe, WIFI probe emission WIFI probe signals are equipped in probe device, WIFI probe signals are covered in solid shop/brick and mortar store.
3. a kind of solid shop/brick and mortar store intelligence automatic telephone marketing method according to claim 2, which is characterized in that customer is in WIFI
Within the scope of probe signals, primary mark is uploaded within every 30 seconds to server；If server continues not receive within one minute mark letter
Breath, then judge that the customer has been moved off, first time uplink time subtracted with last uplink time, when calculating the stop of customer
Between.
4. a kind of solid shop/brick and mortar store intelligence automatic telephone marketing method according to claim 2, which is characterized in that customer is leaving
After in shop within an hour, it and enters in shop, server receives upload mark, then is judged as primary visiting；If customer exists
It leaves in shop after more than one hour, and enters in shop, server receives upload mark, then is judged as visiting twice.
5. a kind of solid shop/brick and mortar store intelligence automatic telephone marketing method according to claim 1, which is characterized in that being deployed in not
WIFI probe device with commodity area is numbered, by different WIFI probe devices to the recognition time of customer's mobile phone terminal,
Judge the action trail of the stop product locations and customer of customer in shop.
6. a kind of solid shop/brick and mortar store intelligence automatic telephone marketing method according to claim 1, which is characterized in that pass through solid shop/brick and mortar store
Customer model analyzes a variety of labels of customer, including hobby, gender, age bracket, and solid shop/brick and mortar store customer model passes through in real time more
New customer data is learnt perfect automatically.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811254822.7A CN109544212A (en) | 2018-10-26 | 2018-10-26 | A kind of solid shop/brick and mortar store intelligence automatic telephone marketing method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811254822.7A CN109544212A (en) | 2018-10-26 | 2018-10-26 | A kind of solid shop/brick and mortar store intelligence automatic telephone marketing method |
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| CN109544212A true CN109544212A (en) | 2019-03-29 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201811254822.7A Pending CN109544212A (en) | 2018-10-26 | 2018-10-26 | A kind of solid shop/brick and mortar store intelligence automatic telephone marketing method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111160967A (en) * | 2019-12-27 | 2020-05-15 | 北京市商汤科技开发有限公司 | Data processing method, device and storage medium |
| CN111967913A (en) * | 2020-08-25 | 2020-11-20 | 珠海格力电器股份有限公司 | Commodity attention analysis method, device and system based on electronic price tags |
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| CN105373937A (en) * | 2014-08-27 | 2016-03-02 | 上海睿芬信息科技有限公司 | Accurate message pushing method based on mall customer flow analysis |
| CN105931089A (en) * | 2016-07-12 | 2016-09-07 | 广州好用信息技术有限公司 | Distributed coalition method, device and system based on customer identification |
| CN106408346A (en) * | 2016-09-30 | 2017-02-15 | 重庆智道云科技有限公司 | Physical place behavior analysis system and method based on Internet of things and big data |
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2018
- 2018-10-26 CN CN201811254822.7A patent/CN109544212A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105373937A (en) * | 2014-08-27 | 2016-03-02 | 上海睿芬信息科技有限公司 | Accurate message pushing method based on mall customer flow analysis |
| CN105931089A (en) * | 2016-07-12 | 2016-09-07 | 广州好用信息技术有限公司 | Distributed coalition method, device and system based on customer identification |
| CN106408346A (en) * | 2016-09-30 | 2017-02-15 | 重庆智道云科技有限公司 | Physical place behavior analysis system and method based on Internet of things and big data |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111160967A (en) * | 2019-12-27 | 2020-05-15 | 北京市商汤科技开发有限公司 | Data processing method, device and storage medium |
| CN111967913A (en) * | 2020-08-25 | 2020-11-20 | 珠海格力电器股份有限公司 | Commodity attention analysis method, device and system based on electronic price tags |
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Application publication date: 20190329 |