Keyword discovery tools for populating a private keyword database

• US 20090299998A1
• Filed: 02/14/2009
• Published: 12/03/2009
• Est. Priority Date: 02/15/2008
• Status: Abandoned Application

• Current Assignee: Wordstream
• Original Assignee: Wordstream
• Inventors: Kim, Larry
• Application Number:
  US12/371,582
• Publication Number:
  US 20090299998A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

Methods and systems disclosed herein relate to keyword discovery tools for populating a private keyword database. Keyword discovery relates to continuously and automatically in incrementing a working keyword data set for new periods of time based on retrieval of at least one of new traffic-generating keywords and new suggested keywords. Related user interfaces, applications, and computer program products are disclosed.

Claims

1. A computer-implemented method applicable to a computer facility adapted to facilitate a workflow for at least one of search engine optimization and search engine marketing, comprising:

collecting a data set of traffic-generating keywords, the traffic-generating keyword data set representing keywords used to access a web resource during different periods of time;

collecting a data set of suggested keywords;

associating the suggested keywords and the traffic-generating keywords into a working keyword data set;

continuously and automatically incrementing the working keyword data set for new periods of time based on retrieval of at least one of new traffic-generating keywords and new suggested keywords; and

presenting the working keyword data set to users, thereby allowing users to transform the working keyword data set into a private keyword data set by at least one of adding keywords to and deleting keywords from the working keyword data set, the private keyword data set being adapted for use in a workflow associated with at least one of search engine marketing and search engine optimization.

2. The computer-implemented method of claim 1, further comprising grouping keywords in the working keyword data set into a plurality of multi-dimensional, hierarchical keyword groups.

3. The computer-implemented method of claim 1, further comprising, allowing user-definition of rules that automatically govern at least one of addition of new keywords to keyword groups, ad deletion of keywords from the working keyword data set.

77. The computer-implemented method of claim 2, wherein at least some keyword groups are segmented into sub-groups.

78. The computer implemented method of claim 2, further comprising, allowing users to add keywords to and delete keywords from keyword groups and sub-groups.

79. The computer-implemented method of claim 1, further comprising, allowing user-definition of rules that automatically govern grouping of keywords into keyword groups

80. The computer implemented method of claim 1, further comprising,

analyzing the working keyword data set to automatically identify terms that are at least one of relevant or irrelevant to accessing a website;

and

automatically grouping relevant new keywords with a relevant keyword group and automatically grouping irrelevant keywords with an irrelevant keyword group to transform the keyword data set into a grouped data set of relevant and irrelevant keywords.

81. The computer implemented method of claim 80, further comprising allowing a user to define a rule set by which a keyword is grouped with a keyword group according to a relevance of the keyword.

82. The computer implemented method of claim 1, further comprising storing in the working keyword data set a property indicative of the performance of each keyword from the working keyword data set.

83. The computer implemented method of claim 82, wherein the performance property is selected from the group consisting of the frequency with which a keyword is used to access a web resource, the frequency that a desired action is undertaken by a user who has accessed the web resource by using the keyword, the historical value of actions taken by users who have accessed a web resource by using the keyword and the expected value of future actions that are predicted to be taken by users who have accessed the resource using the keyword.

4. A system adapted to facilitate a workflow for at least one of search engine optimization and search engine marketing, comprising:

a data collection facility for collecting a data set of traffic-generating keywords, the traffic-generating keyword data set representing keywords used to access a web resource during different periods of time, and a data set of suggested keywords;

a processor for associating the suggested keywords and the traffic-generating keywords into a working keyword data set and continuously and automatically incrementing the working keyword data set for new periods of time based on retrieval of at least one of new traffic-generating keywords and new suggested keywords; and

a presentation facility for presenting the working keyword data set to users, thereby allowing users to transform the working keyword data set into a private keyword data set by at least one of adding keywords to and deleting keywords from the working keyword data set, the private keyword data set being adapted for use in a workflow associated with at least one of search engine marketing and search engine optimization.

5. The system of claim 4, wherein the processor groups keywords in the working keyword data set into a plurality of multi-dimensional, hierarchical keyword groups.

6. The system of claim 4, further comprising user-defined rules that automatically govern at least one of addition of new keywords to keyword groups, and deletion of keywords from the working keyword data set.

84. The system of claim 5, wherein at least some keyword groups are segmented into sub-groups.

85. The system of claim 5, wherein the processor enables users to add keywords to and delete keywords from keyword groups and subgroups.

86. The system of claim 4, further comprising user-defined rules that automatically govern grouping of keywords into keyword groups.

87. The system of claim 4, further comprising,

a processor for analyzing the working keyword data set to automatically identify terms that are at least one of relevant or irrelevant to accessing a website;

and

a processor for automatically grouping relevant new keywords with a relevant keyword group and automatically grouping irrelevant keywords with an irrelevant keyword group to transform the keyword data set into a grouped data set of relevant and irrelevant keywords.

88. The system of claim 87, further comprising a rules server to store a user-defined rule set by which a keyword is grouped with a keyword group according to a relevance of the keyword.

89. The system of claim 4, further comprising, a memory facility for storing in a keyword data set a property indicative of the performance of each keyword from the working keyword data set.

90. The system of claim 89, wherein the performance property is selected from the group consisting of the frequency with which a keyword is used to access a web resource, the frequency that a desired action is undertaken by a user who has accessed the web resource by using the keyword, the historical value of actions taken by users who have accessed a web resource by using the keyword and the expected value of future actions that are predicted to be taken by users who have accessed the resource using the keyword.

7-76. -76. (canceled)