Method and System for Negative Keyword Recommendations

1 . A computer implemented method comprising:

determining, via a physical computing device, effectiveness of keywords;

classifying the keywords to include effective keywords and ineffective keywords;

creating an exclusion keyword list based on the ineffective keywords;

removing from the exclusion keyword list the ineffective keywords that conflict with the effective keywords; and

determining negative keywords.

2 . The method of claim 1 wherein the determining includes compiling statistics for each keyword for each search engine based on one or more factors.

3 . The method of claim 2 wherein the one or more factors include number of clicks, bounce rate, search engine click through rate, conversions, conversion value, and time spent on website.

4 . The method of claim 2 wherein the determining further includes creating time weighted averages of the statistics.

5 . The method of claim 2 wherein the determining further includes categorizing the keywords by an effectiveness criterion.

6 . The method of claim 2 wherein the determining further includes categorizing the keywords by a data sufficiency criterion.

7 . The method of claim 1 wherein the creating includes employing a linguistic stemmer.

8 . The method of claim 7 wherein the creating further includes grouping the ineffective keywords by meaning.

9 . The method of claim 7 wherein the creating further includes eliminating the ineffective keywords based on frequency thresholds.

10 . The method of claim 7 wherein the creating further includes expanding the exclusion keyword list to include variations of the ineffective keywords.

11 . The method of claim 7 wherein the creating further includes associating a negative match type with the ineffective keywords.

12 . A machine-readable medium having stored thereon a set of instructions, which when executed by a machine, perform a method comprising:

determining effectiveness of keywords;

classifying the keywords to include effective keywords and ineffective keywords;

creating an exclusion keyword list based on the ineffective keywords;

removing from the exclusion keyword list the ineffective keywords that conflict with the effective keywords; and

determining negative keywords.

13 . The method of claim 12 wherein the determining includes compiling statistics for each keyword for each search engine based on one or more factors.

14 . The method of claim 13 wherein the one or more factors include number of clicks, bounce rate, search engine click through rate, conversions, conversion value, and time spent on website.

15 . The method of claim 13 wherein the determining further includes categorizing the keywords by a data sufficiency criterion.

16 . The method of claim 12 wherein the creating includes employing a linguistic stemmer.

17 . The method of claim 16 wherein the creating further includes grouping the ineffective keywords by meaning.

18 . The method of claim 16 wherein the creating further includes eliminating the ineffective keywords based on frequency thresholds.

19 . The method of claim 16 wherein the creating further includes expanding the exclusion keyword list to include variations of the ineffective keywords.

20 . A computer system comprising:

at least one server to:

determine effectiveness of keywords;

classify the keywords to include effective keywords;

create an exclusion keyword list based on ineffective keywords;

remove from the exclusion keyword list the ineffective keywords that conflict with the effective keywords; and

determine negative keywords.