CN109639562A - A kind of mail marketing method around Anti-Spam - Google Patents
A kind of mail marketing method around Anti-Spam Download PDFInfo
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- CN109639562A CN109639562A CN201811360683.6A CN201811360683A CN109639562A CN 109639562 A CN109639562 A CN 109639562A CN 201811360683 A CN201811360683 A CN 201811360683A CN 109639562 A CN109639562 A CN 109639562A
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- China
- Prior art keywords
- marketing
- outbox
- blacklist
- domain name
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- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/21—Monitoring or handling of messages
- H04L51/212—Monitoring or handling of messages using filtering or selective blocking
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/21—Monitoring or handling of messages
- H04L51/214—Monitoring or handling of messages using selective forwarding
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
- H04L51/42—Mailbox-related aspects, e.g. synchronisation of mailboxes
Abstract
The present invention relates to a kind of mail marketing methods around Anti-Spam, it is by analyzing the marketing mail in marketing mail library, in conjunction with sensitive word, mail IP blacklist and the domain name blacklist in network, mail marketing rule library, sensitive dictionary and blacklist library are created;When user creates marketing mail, the marketing mail header of user, text, outbox address and targeted mails address match comparing with mail marketing rule library, sensitive dictionary, blacklist library, to obtain the Optimizing Suggestions of mail, user modifies mail according to Optimizing Suggestions, the mail that avoids marketing is intercepted, to improve the marketing effectiveness of mail.
Description
Technical field
The present invention relates to data processing fields, and in particular to a kind of mail marketing method around Anti-Spam.
Background technique
Mail marketing is common popularization, sells preheating, propaganda method, but due to there is a large amount of maliciously marketing, respectively
A mail service side increases mail Monitoring, Filtering system, is unable to reach effect so as to cause existing a large amount of proper marketing.
Summary of the invention
The purpose of the present invention is to provide a kind of mail marketing methods around Anti-Spam, by giving the user
Mail optimizes opinion, to improve the marketing effectiveness of marketing mail.
To achieve the above object, the technical solution adopted by the present invention is that:
A kind of mail marketing method around Anti-Spam comprising following steps:
Step 1, creation mail marketing rule library, sensitive dictionary, blacklist library;
Step 1.1 carries out data analysis to the marketing mail in marketing mail database, extracts undelivered, quits the subscription of, complains, sending out
Send unsuccessfully link number, external Web link counts, the picture number, picture accounting in the mail text of this kind of mail, creation mail marketing rule
Then library;
Step 1.2 extracts from marketing mail database and is marked as the mail of blacklist, then analyze this be marked as it is black
The title and content of the mail of list extract sensitive word from mail header and content, and combine the sensitive word issued in network,
It is integrated into sensitive dictionary;
Step 1.3, to marketing mail database in targeted mails domain-name information and IP information carry out clustering processing, obtain without return
The targeted mails answered, using the IP of the targeted mails and domain name as target side blacklist;
The outbox mail for being marked as blacklist is extracted from marketing database, by the IP of the outbox mail and domain name combination network
In announcement mail IP blacklist and domain name blacklist, formed outbox side's blacklist;
Target side blacklist and outbox side's blacklist are integrated, blacklist library is formed;
Step 2, when user creates marketing mail, outbox IP, outbox domain name are verified by the blacklist library API that accesses on the net,
If outbox IP or outbox domain name are identified as blacklist, blacklist library is updated, while giving the user prompt modification outbox
IP or outbox domain name repeat step 2 after modification;If outbox IP and outbox domain name are not identified as blacklist, enter
Step 3;
Step 3, the outbox address and target mailbox address for uploading marketing mail, by the outbox IP for mail of marketing and outbox domain name with
Outbox side's blacklist in blacklist library compares, if there are outbox IP or outbox domain name in outbox side's blacklist, to
Family provides prompt modification outbox IP or outbox domain name, enters step 2 after modification;
The targeted mails IP for mail of marketing and targeted mails domain name are compared with the target side blacklist in blacklist library, if
There are targeted mails IP or targeted mails domain names in target side blacklist, then give the user prompt modification targeted mails IP or mesh
Mail domain name is marked, enters step 2 after modification;
When there is no outbox IP and outbox domain name in outbox side's blacklist, and there is no outbox mail IP and outbox in target side blacklist
Mail domain name, then enter step 4;
Step 4, the title and text for uploading marketing mail, by the sensitive word in the title for mail of marketing, text and sensitive dictionary
Matching is compared, if there is sensitive word or related to sensitive word in the title or text of marketing mail, is indicated to user
Sensitive vocabulary out;
Analysis extract marketing mail text link number, external Web link counts, picture number, picture accounting, and by itself and marketing postal
Data with existing in part rule base compares, if link number, external Web link counts, picture number or picture accounting are more than that warning refers to
Mark, then give the user prompt;
According to above-mentioned prompt, the title or text of modification marketing mail are sent to targeted mails after the completion of modification by step 5, user
Address.
The mail marketing method further include:
Step 6, trace analysis user marketing mail marketing effectiveness, and by the marketing mail and marketing effectiveness deposit marketing postal
In part database;If marketing effectiveness is the marketing mail undelivered, quits the subscription of, complain, sends failure or be noted as blacklist,
Then repeat step 1, renolation mail marketing rule library, sensitive dictionary and blacklist library.
After adopting the above scheme, the present invention is by analyzing the marketing mail in marketing mail library, in conjunction in network
Sensitive word, mail IP blacklist and domain name blacklist, creation mail marketing rule library, sensitive dictionary and blacklist library;When with
When the creation marketing mail of family, the marketing mail header of user, text, outbox address and targeted mails address and mail are marketed
Rule base, sensitive dictionary, blacklist library carry out matching comparison, to obtain the Optimizing Suggestions of mail, user is according to Optimizing Suggestions
Mail is modified, the mail that avoids marketing is intercepted, to improve the marketing effectiveness of mail.
Detailed description of the invention
Fig. 1 is the principle of the present invention block diagram.
Specific embodiment
As shown in Figure 1, present invention discloses a kind of mail marketing methods around Anti-Spam comprising following step
It is rapid:
Step 1, creation mail marketing rule library, sensitive dictionary, blacklist library;
Step 1.1 carries out data analysis to the marketing mail in marketing mail database, extracts undelivered, quits the subscription of, complains, sending out
Send unsuccessfully link number, external Web link counts, the picture number, picture accounting in the mail text of this kind of mail, creation mail marketing rule
Then library;
Step 1.2 extracts from marketing mail database and is marked as the mail of blacklist, then analyze this be marked as it is black
The title and content of the mail of list extract sensitive word from mail header and content, and combine the sensitive word issued in network,
It is integrated into sensitive dictionary;
Step 1.3, to marketing mail database in targeted mails domain-name information and IP information carry out clustering processing, obtain without return
The targeted mails answered, using the IP of the targeted mails and domain name as target side blacklist;
The outbox mail for being marked as blacklist is extracted from marketing database, by the IP of the outbox mail and domain name combination network
In announcement mail IP blacklist and domain name blacklist, formed outbox side's blacklist;
Target side blacklist and outbox side's blacklist are integrated, blacklist library is formed.
Step 2, when user creates marketing mail, pass through the blacklist library API that accesses on the net and verify outbox IP, outbox domain
Name, if outbox IP or outbox domain name are identified as blacklist, updates blacklist library, while giving the user prompt modification hair
Part IP or outbox domain name repeat step 2 after modification;If outbox IP and outbox domain name are not identified as blacklist, into
Enter step 3;
Step 3, the outbox address and target mailbox address for uploading marketing mail, by the outbox IP for mail of marketing and outbox domain name with
Outbox side's blacklist in blacklist library compares, if there are outbox IP or outbox domain name in outbox side's blacklist, to
Family provides prompt modification outbox IP or outbox domain name, enters step 2 after modification;
The targeted mails IP for mail of marketing and targeted mails domain name are compared with the target side blacklist in blacklist library, if
There are targeted mails IP or targeted mails domain names in target side blacklist, then give the user prompt modification targeted mails IP or mesh
Mail domain name is marked, enters step 2 after modification;
When there is no outbox IP and outbox domain name in outbox side's blacklist, and there is no outbox mail IP and outbox in target side blacklist
Mail domain name, then enter step 4.
Step 4, upload marketing mail title and text, by the title for mail of marketing, text with sensitivity dictionary in it is quick
Matching is compared in sense word, if there is sensitive word or related to sensitive word in the title or text of marketing mail, to user
Indicate sensitive vocabulary;
Analysis extract marketing mail text link number, external Web link counts, picture number, picture accounting, and by itself and marketing postal
Data with existing in part rule base compares, if link number, external Web link counts, picture number or picture accounting are more than that warning refers to
Mark, then give the user prompt.
According to above-mentioned prompt, the title or text of modification marketing mail are sent to target after the completion of modification by step 5, user
Mail address.
Step 6, trace analysis user marketing mail marketing effectiveness, and by the marketing mail and marketing effectiveness deposit battalion
It sells in mail database;If marketing effectiveness is the marketing mail undelivered, quits the subscription of, complain, sends failure or be noted as black
List, then repeatedly step 1, renolation mail marketing rule library, sensitive dictionary and blacklist library.
It is of the invention it is critical that the present invention is by analyzing the marketing mail in marketing mail library, in conjunction with network
In sensitive word, mail IP blacklist and domain name blacklist, creation mail marketing rule library, sensitive dictionary and blacklist library;When
When user creates marketing mail, the marketing mail header of user, text, outbox address and targeted mails address and mail are sought
Pin rule base, sensitive dictionary, blacklist library carry out matching comparison, to obtain the Optimizing Suggestions of mail, user builds according to optimization
View modification mail, the mail that avoids marketing is intercepted, to improve the marketing effectiveness of mail.
The above is only the embodiment of the present invention, is not intended to limit the scope of the present invention, therefore all
Any subtle modifications, equivalent variations and modifications to the above embodiments according to the technical essence of the invention still fall within this
In the range of inventive technique scheme.
Claims (2)
1. a kind of mail marketing method around Anti-Spam, it is characterised in that: the mail marketing method includes following step
It is rapid:
Step 1, creation mail marketing rule library, sensitive dictionary, blacklist library;
Step 1.1 carries out data analysis to the marketing mail in marketing mail database, extracts undelivered, quits the subscription of, complains, sending out
Send unsuccessfully link number, external Web link counts, the picture number, picture accounting in the mail text of this kind of mail, creation mail marketing rule
Then library;
Step 1.2 extracts from marketing mail database and is marked as the mail of blacklist, then analyze this be marked as it is black
The title and content of the mail of list extract sensitive word from mail header and content, and combine the sensitive word issued in network,
It is integrated into sensitive dictionary;
Step 1.3, to marketing mail database in targeted mails domain-name information and IP information carry out clustering processing, obtain without return
The targeted mails answered, using the IP of the targeted mails and domain name as target side blacklist;
The outbox mail for being marked as blacklist is extracted from marketing database, by the IP of the outbox mail and domain name combination network
In announcement mail IP blacklist and domain name blacklist, formed outbox side's blacklist;
Target side blacklist and outbox side's blacklist are integrated, blacklist library is formed;
Step 2, when user creates marketing mail, outbox IP, outbox domain name are verified by the blacklist library API that accesses on the net,
If outbox IP or outbox domain name are identified as blacklist, blacklist library is updated, while giving the user prompt modification outbox
IP or outbox domain name repeat step 2 after modification;If outbox IP and outbox domain name are not identified as blacklist, enter
Step 3;
Step 3, the outbox address and target mailbox address for uploading marketing mail, by the outbox IP for mail of marketing and outbox domain name with
Outbox side's blacklist in blacklist library compares, if there are outbox IP or outbox domain name in outbox side's blacklist, to
Family provides prompt modification outbox IP or outbox domain name, enters step 2 after modification;
The targeted mails IP for mail of marketing and targeted mails domain name are compared with the target side blacklist in blacklist library, if
There are targeted mails IP or targeted mails domain names in target side blacklist, then give the user prompt modification targeted mails IP or mesh
Mail domain name is marked, enters step 2 after modification;
When there is no outbox IP and outbox domain name in outbox side's blacklist, and there is no outbox mail IP and outbox in target side blacklist
Mail domain name, then enter step 4;
Step 4, the title and text for uploading marketing mail, by the sensitive word in the title for mail of marketing, text and sensitive dictionary
Matching is compared, if there is sensitive word or related to sensitive word in the title or text of marketing mail, is indicated to user
Sensitive vocabulary out;
Analysis extract marketing mail text link number, external Web link counts, picture number, picture accounting, and by itself and marketing postal
Data with existing in part rule base compares, if link number, external Web link counts, picture number or picture accounting are more than that warning refers to
Mark, then give the user prompt;
According to above-mentioned prompt, the title or text of modification marketing mail are sent to targeted mails after the completion of modification by step 5, user
Address.
2. a kind of mail marketing method around Anti-Spam according to claim 1, it is characterised in that: the mail
Marketing method further include:
Step 6, trace analysis user marketing mail marketing effectiveness, and by the marketing mail and marketing effectiveness deposit marketing postal
In part database;If marketing effectiveness is the marketing mail undelivered, quits the subscription of, complain, sends failure or be noted as blacklist,
Then repeat step 1, renolation mail marketing rule library, sensitive dictionary and blacklist library.
Priority Applications (1)
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CN201811360683.6A CN109639562A (en) | 2018-11-15 | 2018-11-15 | A kind of mail marketing method around Anti-Spam |
Applications Claiming Priority (1)
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CN201811360683.6A CN109639562A (en) | 2018-11-15 | 2018-11-15 | A kind of mail marketing method around Anti-Spam |
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CN109639562A true CN109639562A (en) | 2019-04-16 |
Family
ID=66068106
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CN201811360683.6A Pending CN109639562A (en) | 2018-11-15 | 2018-11-15 | A kind of mail marketing method around Anti-Spam |
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PB01 | Publication | ||
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Application publication date: 20190416 |