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Similar a Calculate the ROI of your SEO efforts(20)

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Calculate the ROI of your SEO efforts

  1. FROM A MACRO VIEW RESULTS ARE IMPRESSIVE
  2. CLIENTS HIRE US TO DO A LOT OF SEO PROJECTS
  3. We want to forecast what our results will be in the future to make better decisions today
  4. 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
  5. If we know what the expected return is on a project we can prioritize budget and timing accordingly 1 2 3
  6. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  7. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  8.    Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  9. 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
  10. 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
  11. 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
  12.   Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  13. 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
  14. 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 Organic Search Visits Forecast Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  16. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  17. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  18. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  19.       Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  20.     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. Y X1 X2 X3 X4 X5 X6 Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  26. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  27. 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
  28. 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
  29. 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
  30. 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
  31.  o   Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  32.    Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  33. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  34. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  35.  Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  36. 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
  37. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  38. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  39. o o o Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  40. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  41. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  42. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  43. o Simple Linear Regression Multiple Linear Regression Impact Analysis Model o o
  44. 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. 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
  48.    Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  49.  Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  50. 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
  51. Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  52.    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.    Simple Linear Regression Multiple Linear Regression Impact Analysis Model
  56. IMPACT ANALYSIS MODEL
  57. THREE MODELS
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