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FROM A MACRO VIEW RESULTS ARE IMPRESSIVE
CLIENTS HIRE US TO DO A LOT OF SEO PROJECTS
We want to forecast what our results will be in the future to
make better decisions today
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
If we know what the expected return is on a project we
can prioritize budget and timing accordingly
1 2 3
Simple Linear Regression
Multiple Linear Regression
Impact Analysis Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model



Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
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
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
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


Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
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
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
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
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear Regression
Multiple Linear Regression
Impact Analysis Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model






Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model




Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Y X1 X2 X3 X4 X5 X6
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
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
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
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
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

o


Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model



Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear Regression
Multiple Linear Regression
Impact Analysis Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model

Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
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
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
o
o
o
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
o
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
o
o
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
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



Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model

Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
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
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model



Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model

Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model



Simple Linear
Regression
Multiple Linear
Regression
Impact Analysis
Model
IMPACT ANALYSIS MODEL
THREE MODELS

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