Calculate the ROI of your SEO efforts
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This is a regression model that Red Door developed to calculate the ROI of SEO projects
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Calculate the ROI of your SEO efforts
- 4. FROM A MACRO VIEW RESULTS ARE IMPRESSIVE
- 5. CLIENTS HIRE US TO DO A LOT OF SEO PROJECTS
- 7. We want to forecast what our results will be in the future to make better decisions today
- 8. Project 4 Project 1 Project 13 Project 9 Project 12 Project 10 Project 3 Project 5 Project 6 Project 2 Project 14 Project 8 Project 11 Project 7 Project 15
- 9. If we know what the expected return is on a project we can prioritize budget and timing accordingly 1 2 3
- 11. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 12. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 13. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 14. 0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 0 2 4 6 8 10 12 Organic Search Sessions Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 15. 0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 0 2 4 6 8 10 12 Organic Search Sessions Regression (Best-fit Line) Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 16. 0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Organic Search Sessions Doesn’t account for seasonality Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 17. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 18. 0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 Jan-09 Apr-09 Jul-09 Oct-09 Jan-10 Apr-10 Jul-10 Oct-10 Jan-11 Apr-11 Jul-11 Oct-11 Jan-12 Apr-12 Jul-12 Oct-12 Jan-13 Apr-13 Jul-13 Oct-13 Jan-14 Apr-14 Jul-14 Oct-14 Organic Search Sessions Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 19. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 20. 0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 Organic Search Visits Forecast Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 21. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 22. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 23. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 24. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 25. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 26. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 27. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 28. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 29. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 30. Y X1 X2 X3 X4 X5 X6 Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 31. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 32. SUMMARY OUTPUT Regression Statistics Multiple R 0.965191602 R Square 0.931594828 Adjusted R Square 0.921334052 Standard Error 24471.86153 Observations 47 ANOVA df SS MS F Significance F Regression 6 3.26236E+11 54372697863 90.79185077 1.01597E-21 Residual 40 23954880267 598872006.7 Total 46 3.50191E+11 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept -211689.758 79289.07527 -2.669847734 0.010914217 -371938.9567 -51440.55921 -371938.9567 -51440.55921 Time Period -1275.010992 885.2614569 -1.440264887 0.157574216 -3064.191137 514.1691525 -3064.191137 514.1691525 Org Search -1 0.527304039 0.100059542 5.269902583 4.99216E-06 0.325076161 0.729531917 0.325076161 0.729531917 Paid Search 0.13032282 0.08955843 1.455170883 0.153425553 -0.050681519 0.311327159 -0.050681519 0.311327159 Banner -1 0.076153623 0.03014928 2.525885294 0.015603426 0.015219655 0.137087591 0.015219655 0.137087591 adj close -1 204.7412205 73.66025964 2.779534331 0.008255112 55.86828251 353.6141585 55.86828251 353.6141585 Seasonal Low -32470.77424 9234.82791 -3.516121206 0.001105407 -51135.05767 -13806.49082 -51135.05767 -13806.49082 Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 33. SUMMARY OUTPUT Regression Statistics Multiple R 0.965191602 R Square 0.931594828 Adjusted R Square 0.921334052 Standard Error 24471.86153 Observations 47 ANOVA df SS MS F Significance F Regression 6 3.26236E+11 54372697863 90.79185077 1.01597E-21 Residual 40 23954880267 598872006.7 Total 46 3.50191E+11 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Intercept -211689.758 79289.07527 -2.669847734 0.010914217 -371938.9567 -51440.55921 -371938.9567 Time Period -1275.010992 885.2614569 -1.440264887 0.157574216 -3064.191137 514.1691525 -3064.191137 Org Search -1 0.527304039 0.100059542 5.269902583 4.99216E-06 0.325076161 0.729531917 0.325076161 Paid Search 0.13032282 0.08955843 1.455170883 0.153425553 -0.050681519 0.311327159 -0.050681519 Banner -1 0.076153623 0.03014928 2.525885294 0.015603426 0.015219655 0.137087591 0.015219655 adj close -1 204.7412205 73.66025964 2.779534331 0.008255112 55.86828251 353.6141585 55.86828251 Seasonal Low -32470.77424 9234.82791 -3.516121206 0.001105407 -51135.05767 -13806.49082 -51135.05767
- 34. Y X1 X2 X3 X4 X5 X6 Regression Statistics Multiple R 0.965191602 R Square 0.931594828 Adjusted R Square 0.921334052 Standard Error 24471.86153 Observations 47 ANOVA df SS MS F Significance F Regression 6 3.26236E+11 54372697863 90.79185077 1.01597E-21 Residual 40 23954880267 598872006.7 Total 46 3.50191E+11 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Up Intercept -211689.758 79289.07527 -2.669847734 0.010914217 -371938.9567 -51440.55921 -371938.9567 -5 Time Period -1275.010992 885.2614569 -1.440264887 0.157574216 -3064.191137 514.1691525 -3064.191137 5 Org Search -1 0.527304039 0.100059542 5.269902583 4.99216E-06 0.325076161 0.729531917 0.325076161 0 Paid Search 0.13032282 0.08955843 1.455170883 0.153425553 -0.050681519 0.311327159 -0.050681519 0 Banner -1 0.076153623 0.03014928 2.525885294 0.015603426 0.015219655 0.137087591 0.015219655 0 adj close -1 204.7412205 73.66025964 2.779534331 0.008255112 55.86828251 353.6141585 55.86828251 3 Seasonal Low -32470.77424 9234.82791 -3.516121206 0.001105407 -51135.05767 -13806.49082 -51135.05767 -1 Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 35. Y X1 X2 X3 X4 X5 X6 0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 450,000 Jan-13 Feb-13 Mar-13 Apr-13 May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 Nov-13 Dec-13 Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 Forecast Organic Search Visits Organic Search ForecastSimple Linear Regression Multiple Linear Regression Impact Analysis Model
- 36. o Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 37. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 38. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 39. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 40. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 41. 50K 100K 150K 200K 250K 300K 350K 400K 450K Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 SEO Impact Baseline Online Media SEO Incremental Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 42. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 43. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 44. o o o Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 45. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 46. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 47. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 48. o Simple Linear Regression Multiple Linear Regression Impact Analysis Model o o
- 49. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 50. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 51. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 52. 50K 100K 150K 200K 250K 300K 350K 400K 450K Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 SEO Impact Baseline Online Media SEO Incremental Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 53. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 54. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 55. 50K 100K 150K 200K 250K 300K 350K 400K 450K Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 Oct-14 Nov-14 Dec-14 SEO Impact Baseline Online Media SEO Incremental Project #1 & #2 Project #3 Migrate URLs for site section Project #4 Project #5 Project #6 Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 56. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 57. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 58. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 59. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 61. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
- 64. THREE MODELS