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Chapter 9
3 of 4
(^4) 4! 4 * 3* 2 *1 24
(^3) 3!(4 3)! 3* 2 1 (1) 6
=^ =^ = −
4 ways to see exactly 3 issues
4 of 4
1 way to see exactly 4 issues (recall(4-4)!= 0! = 1)
Now that all the ways one could be exposed to 0,1,2,3 or 4 issues are calculated, the probability of each level of exposure can be estimated using probability rules. Continuing with People magazine, with an average is- sue rating of 15.0:
Probability of reading Formula
Result (rounded) 0 of 4 Ex: not see #1 and not see#2 and not see #3 and not see # =(1.0-0.15) * (1.0-0.15)* (1.0-0.15)* (1.0-0.15) =0.850.850.85*0.85 or alternatively 0.15^0 *0.85 4
0.5220 or 52.20%
1 of 4 Ex: see #1 and not see#2 and not see #3 and not see # =0.15 * (1.0-0.15)* (1.0-0.15)* (1.0-0.15) =0.15 0.850.850.85 or alternatively 0.15^1 *** 0.85 3*
0.0921 or 9.21%
2 of 4 Ex: see #1 and see#2 and not see #3 and not see # =0.15 * 0.15 * (1.0-0.15)* (1.0-0.15) =0.15 0.150.850.85 or alternatively 0.15^2 *** 0.85 2*
0.0163 or 1.63%
3 of 4 Ex: see #1 and see#2 and see #3 and not see # =0.15 0 .15 0 .15 * (1.0-0.15) =0.15 0.150.150.85 or alternatively 0.15^3 *** 0.85 1*
0.0029 or 0.29%
4 of 4 Ex: see #1 and see#2 and see #3 and see # =0.15 * 0.15 0.15 * 0. =0.15 0.150.150.15 or alternatively 0.15^4 *** 0.85**^0
0.0005or 0.05%
If we let ‘p’ represent the probability of seeing, this can be written:
E#6] ( 1 ) k n^ k
−
This looks similar to the last part of the BBD formula presented in the introduction. It was partly this similar- ity which led to combining the beta function with the binomial expansion.
The binomial expansion (multiplying the ‘number of ways’ with the corresponding probability) is used to cre- ate the complete frequency distribution. Let’s multiply them together and see if it all works. A correct result will sum to 100% (e.g. summing all the frequency cells should equal 100%):
Chapter 9
β (a, b+n ) from Excel = exp(gammaln(a)+gammaln( b+n )-gammaln(a+ b+n )) =exp(gammaln(0.161)+gammaln( 1.200+1 )-gammln(0.161+ 1.200+1 )) = 5.
Important! Notice that in the numerator, ‘b+n’ is used for ‘b’ every time! If you do not make this substitution where required in the beta function you will get an incorrect result.
Denominator:
β (a,b) from Excel = exp(gammaln(a)+gammaln(b)-gammaln(a+b)) = exp( gammaln(0.161)+ gammaln(1.200)-gammaln(0.161+1.200)) = 5.
( ) ( )
β β
The cumulative reach for each of the remaining successive issues is calculated the same way, substituting the correct number of issues for ‘n’ each time. Here are all 6 issue results compared to the measured values:
Notice the BBD model reach estimates are quite close to the tabulated values. Commercial programs used in agencies make minor tweaks to further improve the fit. The basic probability estimates are also shown in the table and graph—and rapidly stray from the measured estimates. BBD does much better because it uses more information, and does not assume independence (e.g. BBD can accommodate duplication that is not random, whereas the assumption of random duplication is explicit in basic probability—when removing the duplication back in E#3 , the (p 1 * p 2 ) estimate of duplication assumes randomness because the two events are assumed independent).
Let’s try calculating the frequency distribution for six issues. The sum of the exposure cells 1 through 6 must total the 28.7% (cumulative reach) estimated for the six issues, so that figure can be used to verify the results.
E#13 can be used to calculate the entire frequency distribution:
Read k of n issues=
( ) ( )
β β
Exercise 18
Website
Delivered Impressions Actions
Cost of Impressions
(Cost-Per-Action) ESPN.com 2,000,000 3,750 $30, Eonline 1,000,000 1,100 $15, Zillow.com 1,500,000 800 $ 7, AllRecipies.com 500,000 500 $ 3, History.com 1,200,000 1,400 $ 8, iVillage.com 750,000 200 $ 3,
9.In the table below, indicate with a check which two websites you would eliminate based on each of the CTR, CPC and CPA criteria. Explain why you might want to consider different criteria, instead of say, focusing just on CTR?
Website CTR CPC CPA ESPN.com Eonline Zillow.com AllRecipies.com History.com iVillage.com
Exercise 18
Your data provider has issued report, but parts were illegible when they came through on the fax machine. You realize that there is sufficient data on the report to fill in the missing data, and decide to do it by hand rather than loose time by having them re-run it. Complete the report by calculating the missing data and indexes. (The target audience for this report is adults 18-34):
Behavior
Total Base Audience
Percent Vertical of Total
Target Audience
Percent Vertical of Target Index BASE- 18+ Years Old 181,628,000 100.0 25,416,000 100.0 100 Used Social Media Past 30 Days 139,480,000 76.8 21,650,000 85.2 111 Watch 1-5 video streams on average day 69,669,000 38.4 12,254,000 48. Visit Newspaper site Past 30 Days 58,243,000 32.1 6,244,000 24. Played Gaming Console Past 30 Days 42,890,000 23.6 10,203, Streamed Pandora Past 30 Days 15,743,000 4,751,