System and method for optimizing paid search advertising campaigns based on natural search traffic
View Patent ↗One methodology in accordance with the disclosure is a computer-implementable methodology for quantitatively assessing the impact of paid search advertising on the total visits (paid and organic search-based visits) from search engines and utilizing this assessment to improve search engine marketing performance. The methodology relies on the computation of a synergy score for each search engine keyword of interest or coefficients in a synergy equation. Once computed, the score can be used to repeatedly compute the total return on advertising spend (ROAS) and other performance metrics on a go-forward basis without the time lag inherent in computing the synergy score itself. The methodology includes specific computer-implementable methods for improving search engine marketing performance based on the total (paid plus organic) performance metrics.
1. A system, comprising:
at least one processor;
one or more memories, operatively coupled to the processor, for storing logical instructions wherein execution of the logical instructions by the processor results in the performing of at least the following operations:
receiving data indicative of search traffic directed to a website, the search traffic resulting from an unpaid portion of a search advertising campaign and a paid portion of the search advertising campaign,
identifying a change made to the paid portion of the search advertising campaign,
determining, based on the received data:
a first volume of search traffic resulting from the unpaid portion before the change,
a second volume of search traffic resulting from the unpaid portion after the change,
a third volume of search traffic resulting from the paid portion before the change, and
a fourth volume of search traffic resulting from the paid portion after the change;
generating a synergy score based upon the first volume, the second volume, the third volume and the fourth volume, wherein the synergy score quantifies an impact of the change on the search traffic resulting from the unpaid portion; and
storing the synergy score in the one or more memories in association with an indication of the change.
2. The system of claim 1 wherein the generating includes determining the synergy score based at least in part upon a relationship (R) comprising:
R =( TO 2 −TO 1)/( TP 2 −TP 1)
wherein TO1 represents the first volume, TO2 represents the second volume, TP1 represents the third volume and TP2 represents the fourth volume.
3. The system of claim 1 wherein the first and second volumes of search traffic comprise traffic arising from unpaid search listings.
4. The system of claim 1 wherein the change comprises beginning advertising for at least a first keyword.
5. The system of claim 4 wherein the change further comprises discontinuing advertising for at least a second keyword.
6. The system of claim 1 wherein the change comprises discontinuing advertising for at least one keyword.
7. The system of claim 1 wherein the change comprises modifying a maximum cost-per-click bid for at least one keyword.
8. The system of claim 1 wherein the change comprises modifying a change to a budget limit for at least one keyword.
9. The system of claim 1 wherein the change comprises modifying a time period during which an advertisement is shown in relation to at least one keyword.
10. The system of claim 1 , wherein execution of the logical instructions by the processor further results in the performing of the following operations:
generating a mathematical model for determining an estimated synergy score based on the generated synergy score; and
storing the mathematical model in the one or more memories.
11. A method, comprising:
receiving data indicative of search traffic directed to a website, the search traffic resulting from an unpaid portion of a search advertising campaign and a paid portion of the search advertising campaign;
identifying a change made to the paid portion of the search advertising campaign;
determining, with a computing device and based on the received data:
a first volume of search traffic resulting from the unpaid portion before the change,
a second volume of search traffic resulting from the unpaid portion after the change,
a third volume of search traffic resulting from the paid portion before the change, and
a fourth volume of search traffic resulting from the paid portion after the change;
generating, with the computing device, a synergy score based upon the first volume, the second volume, the third volume and the fourth volume, wherein the synergy score quantifies an impact of the change on the search traffic resulting from the unpaid portion; and
storing the synergy score in a storage medium in association with an indication of the change.
12. The method of claim 11 wherein the generating includes determining the synergy score based at least in part upon a relationship (R) comprising:
R =( TO 2 −TO 1)/( TP 2 −TP 1)
wherein TO1 represents the first volume, TO2 represents the second volume, TP1 represents the third volume and TP2 represents the fourth volume.
13. The method of claim 11 wherein the first and second volumes of search traffic comprise traffic arising from unpaid search listings.
14. The method of claim 11 wherein the change comprises beginning advertising for at least a first keyword.
15. The method of claim 14 wherein the change further comprises discontinuing advertising for at least a second keyword.
16. The method of claim 11 wherein the change comprises discontinuing advertising for at least one keyword.
17. The method of claim 11 wherein the change comprises modifying a maximum cost-per-click bid for at least one keyword.
18. The method of claim 11 wherein the change comprises modifying a change to a budget limit for at least one keyword.
19. The method of claim 11 wherein the change comprises modifying a time period during which an advertisement is shown in relation to at least one keyword.
20. The method of claim 11 , further comprising:
generating a mathematical model for determining an estimated synergy score based on the generated synergy score; and
storing the mathematical model in the storage medium.
21. A non-transient computer-readable medium comprising instructions for causing a processor to:
receive data indicative of search traffic directed to a website, the search traffic resulting from an unpaid portion of a search advertising campaign and a paid portion of the search advertising campaign,
identify a change made to the paid portion of the search advertising campaign,
determine, based on the received data:
a first volume of search traffic resulting from the unpaid portion before the change,
a second volume of search traffic resulting from the unpaid portion after the change,
a third volume of search traffic resulting from the paid portion before the change, and
a fourth volume of search traffic resulting from the paid portion after the change;
generate a synergy score based upon the first volume, the second volume, the third volume and the fourth volume, wherein the synergy score quantifies an impact of the change on the search traffic resulting from the unpaid portion; and
store the synergy score in a storage medium in association with an indication of the change.
22. The non-transient computer-readable medium of claim 21 wherein the synergy score is generated by determining the synergy score based at least in part upon a relationship (R) comprising:
R =( TO 2 −TO 1)/( TP 2 −TP 1)
wherein TO1 represents the first volume, TO2 represents the second volume, TP1 represents the third volume and TP2 represents the fourth volume.