Traffic Estimation Model 1
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Reach (3 Real Traffic Last month 3 months Avg.) average* elcomercioperu.com.pe Terra.com.pe Peru.com rpp.com.pe PaginasAmarilas.com.pe larepublica.com.pe correoperu.com.pe Rematazo.com libero.com.pe trome.com Telurica.com americatv.com.pe ojo.com.pe frecuencialatina.com.pe ritmoromantica.com studio92.com aja.com.pe elpopular.com.pe moda.com.pe planeta.com.pe caretas.com.pe Iquiero - Perú oxigeno.com.pe
0.02386% 0.02183% 0.01973% 0.01136% 0.00913% 0.00531% 0.00441% 0.00428% 0.00425% 0.00388% 0.00376% 0.00193% 0.00188% 0.00186% 0.00179% 0.00172% 0.00135% 0.00111% 0.00092% 0.00078% 0.00066% 0.00066% 0.00026%
1,906,619 1,744,643 1,466,261 1,116,599 897,067 579,193 402,541 390,544 388,385 341,427 331,070 241,286 182,207 176,053 169,624 166,226 143,654 118,142 97,653 72,755 66,583 65,160 38,835 Error range
*Source: www.iabperu.net
To estimate traffic (number of monthly visits) of any web with "Overall Traffic rank lower than 100.000, introduce the "3 month average reach" here
If this information was useful to you, please return the favor a
MBA Internet Marketing Manager IMPORTANT
Two functions are used to calculate traffic. This could be upgraded, corrected and improv 1) Linear Function: y = 8E+09x + 49771 2) 2nd degree polinomic function: y = -1E+13x2 + 1E+10x - 3272,2 3) For the part of the curve that corresponds to websites with an Alexa traffic rank below Please if you know any public source of reliable data of historic data on traffic,
1.- Cells with yellow background ARE NOT Alexa's 3 month average reach. This input was 2.- The way in which this data is "corrected" is by a simple cross-multiplication aproximat 3.- This function will not work well for recently created websites. 4.- This material is for non-commercial use only. Any usage of these functions o
Copyright by MBA Internet Marketing Manager
Traffic estimation according to the Polinomic 2nd degree function 1,813,428 1,703,347 1,580,455 1,003,678 826,088 499,532 418,280 406,278 404,114 369,673 358,803 186,003 181,193 179,268 172,725 165,769 129,905 106,520 87,656 74,119 62,292 62,292 23,058 Average error 40.63%
0.05 0.02 0.08 0.1 0.08 0.14 0.04 0.04 0.04 0.08 0.08 0.23 0.01 0.02 0.02 0 0.1 0.1 0.1 0.02 0.06 0.04 0.41 8.08% 0.27%
Linear function
1,958,571 1,796,410 1,628,171 958,571 779,894 474,571 402,571 392,056 390,164 360,171 350,755 204,171 200,171 198,571 193,138 187,371 157,771 138,591 123,188 112,171 102,571 102,571 70,891 82.54%
Average of both functions (Reduces error range)
0.03 0.03 0.11 0.14 0.13 0.18 0 0 0 0.05 0.06 0.15 0.1 0.13 0.14 0.13 0.1 0.17 0.26 0.54 0.54 0.57 0.83 19.15% 0.01%
with "Overall Traffic reach" here
0.00094%
1,886,000 1,749,879 1,604,313 981,125 802,991 487,051 410,425 399,167 397,139 364,922 354,779 195,087 190,682 188,920 182,931 176,570 143,838 122,556 87,656 74,119 62,292 62,292 23,058 40.63%
Traffic Estimate 89,844
ase return the favor and remember to visit my blog and click on some ads o
pgraded, corrected and improved with more data points or sources of datapoints
0x - 3272,2 with an Alexa traffic rank below 100.000, the function used is an average of the polinomic and linear function
a of historic data on traffic, or have any comments email me at [email protected]
h average reach. This input was distorted, so before inputing the data directly from Alexa, it has to be correct cross-multiplication aproximation to the nearest upper value in the list (the closest upper white cell).
y usage of these functions or part of this excel sheet should quote the source.
verage of both ctions (Reduces error range) 0.01 0 0.09 0.12 0.1 0.16 0.02 0.02 0.02 0.07 0.07 0.19 0.05 0.07 0.08 0.06 0 0.04 0.1 0.02 0.06 0.04 0.41 7.93% 0.13%
Real Traffic IAB / Aver 2000000 1900000 1800000 1700000 1600000 1500000 1400000 1300000 1200000 1100000 1000000 900000 800000 700000 600000 500000 400000 300000 200000 100000 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
raffic Estimate 89,844
k on some ads or bookmark, Digg (etc) my blog at
mic and linear functions
@gmail.com
Tráfico Real IAB / Promedio de usuarios ult. 3 meses
exa, it has to be corrected pper white cell).
c IAB / Average users last 3 months
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
co Real IAB / Promedio suarios ult. 3 meses
Linear regression, Tráfico Real IAB / Promedio de usuarios ult. 3 meses
0.02386% 0.02183% 0.01973% 0.01136% 0.00913% 0.00531% 0.00441% 0.00428% 0.00425% 0.00388% 0.00376% 0.00193% 0.00188% 0.00186% 0.00179% 0.00172% 0.00135% 0.00111% 0.00092% 0.00078% 0.00066% 0.00066% 0.00026%
1,906,619 1,744,643 1,466,261 1,116,599 897,067 579,193 402,541 390,544 388,385 341,427 331,070 241,286 182,207 176,053 169,624 166,226 143,654 118,142 97,653 72,755 66,583 65,160 38,835 Error range
*Source: www.iabperu.net
To estimate traffic (number of monthly visits) of any web with "Overall Traffic rank lower than 100.000, introduce the "3 month average reach" here
If this information was useful to you, please return the favor a
MBA Internet Marketing Manager IMPORTANT
Two functions are used to calculate traffic. This could be upgraded, corrected and improv 1) Linear Function: y = 8E+09x + 49771 2) 2nd degree polinomic function: y = -1E+13x2 + 1E+10x - 3272,2 3) For the part of the curve that corresponds to websites with an Alexa traffic rank below Please if you know any public source of reliable data of historic data on traffic,
1.- Cells with yellow background ARE NOT Alexa's 3 month average reach. This input was 2.- The way in which this data is "corrected" is by a simple cross-multiplication aproximat 3.- This function will not work well for recently created websites. 4.- This material is for non-commercial use only. Any usage of these functions o
Copyright by MBA Internet Marketing Manager
Traffic estimation according to the Polinomic 2nd degree function 1,813,428 1,703,347 1,580,455 1,003,678 826,088 499,532 418,280 406,278 404,114 369,673 358,803 186,003 181,193 179,268 172,725 165,769 129,905 106,520 87,656 74,119 62,292 62,292 23,058 Average error 40.63%
0.05 0.02 0.08 0.1 0.08 0.14 0.04 0.04 0.04 0.08 0.08 0.23 0.01 0.02 0.02 0 0.1 0.1 0.1 0.02 0.06 0.04 0.41 8.08% 0.27%
Linear function
1,958,571 1,796,410 1,628,171 958,571 779,894 474,571 402,571 392,056 390,164 360,171 350,755 204,171 200,171 198,571 193,138 187,371 157,771 138,591 123,188 112,171 102,571 102,571 70,891 82.54%
Average of both functions (Reduces error range)
0.03 0.03 0.11 0.14 0.13 0.18 0 0 0 0.05 0.06 0.15 0.1 0.13 0.14 0.13 0.1 0.17 0.26 0.54 0.54 0.57 0.83 19.15% 0.01%
with "Overall Traffic reach" here
0.00094%
1,886,000 1,749,879 1,604,313 981,125 802,991 487,051 410,425 399,167 397,139 364,922 354,779 195,087 190,682 188,920 182,931 176,570 143,838 122,556 87,656 74,119 62,292 62,292 23,058 40.63%
Traffic Estimate 89,844
ase return the favor and remember to visit my blog and click on some ads o
pgraded, corrected and improved with more data points or sources of datapoints
0x - 3272,2 with an Alexa traffic rank below 100.000, the function used is an average of the polinomic and linear function
a of historic data on traffic, or have any comments email me at [email protected]
h average reach. This input was distorted, so before inputing the data directly from Alexa, it has to be correct cross-multiplication aproximation to the nearest upper value in the list (the closest upper white cell).
y usage of these functions or part of this excel sheet should quote the source.
verage of both ctions (Reduces error range) 0.01 0 0.09 0.12 0.1 0.16 0.02 0.02 0.02 0.07 0.07 0.19 0.05 0.07 0.08 0.06 0 0.04 0.1 0.02 0.06 0.04 0.41 7.93% 0.13%
Real Traffic IAB / Aver 2000000 1900000 1800000 1700000 1600000 1500000 1400000 1300000 1200000 1100000 1000000 900000 800000 700000 600000 500000 400000 300000 200000 100000 0
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
raffic Estimate 89,844
k on some ads or bookmark, Digg (etc) my blog at
mic and linear functions
@gmail.com
Tráfico Real IAB / Promedio de usuarios ult. 3 meses
exa, it has to be corrected pper white cell).
c IAB / Average users last 3 months
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
co Real IAB / Promedio suarios ult. 3 meses
Linear regression, Tráfico Real IAB / Promedio de usuarios ult. 3 meses
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