Okay, someone PLEASE fill in the gap here, this totally isn’t making sense to me. Okay, so all I’m trying to figure out is a guideline for optimal permutations when doing demographics testing on POF. I'm trying to break apart Riley Pool's case study:
Case Study: Using POF Conversion Tracking to weed out non-converters. | RileyPool.com
Case Study: Using POF Conversion Tracking to weed out non-converters. | RileyPool.com
Case Study: Using POF Conversion Tracking to weed out non-converters – Phase 2 | RileyPool.com
He starts out with:
Images: 103
Ad Copies: 1
So 103 images with the same headline and same body text
At the base he’s testing:
Gender: Male
Age : 18-24
Login Count – 1-50
In one of his comments, he says he’s down to about 70% of the images after about a day or two or testing, so let’s just go with 70 to make things simple.
Using those 70 images, he then goes on to split test ALL of the following items below, he has conversion rates for EACH of the variables, which would lead me to believe that he’s testing each item independently. There are roughly 50 demographic variables listed below, times that by the number of images(70), that means we have roughly 3500 ads to test. What the F*ck!?!
Targeting Criteria Clicks* Conversions Conversion Ratio[/B]
Car - No 59 17 22.37%
Smoke - Often 67 17 20.24%
Education - High School 236 58 19.73%
Body Type - Didnt Answer 41 10 19.61%
Intent - Looking for casual dating/No commitment 88 19 17.76%
Relationship - Other Relationship 29 6 17.14%
Relationship - Friends 34 7 17.07%
Intent - Want a relationship 300 58 16.20%
Relationship - Long Term 104 19 15.45%
Car - NA 84 15 15.15%
Income - Less Than 25,000 293 50 14.58%
Income - 25,001 to 35,000 172 29 14.43%
Drinking - Socially 488 82 14.39%
Income - 50,001 to 75,000 48 8 14.29%
Country - USA 663 109 14.12%
Marital Status - Single 651 107 14.12%
Male - Age 18-30 663 109 14.08%
Body Type - Average 190 31 14.03%
Body Type - Slightly Overweight 37 6 13.95%
Income - 35,001 to 50,000 105 17 13.93%
Drinking - No 118 19 13.87%
Smoke - Occasionally 138 22 13.75%
Body Type - Athletic 333 52 13.51%
Relationship - Hang Out 91 14 13.33%
Smoke - No 459 70 13.23%
Body Type - Thin 60 9 13.04%
Car - Yes 522 77 12.86%
Relationship - Dating 354 51 12.59%
Intent - Putting in serious effort to find someone 67 9 11.84%
Intent - Want to date but nothing serious 150 19 11.24%
Education - Some College 257 31 10.76%
Education - Bachelors Degree 68 6 8.11%
Income - 100,001 to 150,000 3 2 40.00%
Education - Masters Degree 2 1 33.33%
Relationship - Talk/E-mail 13 5 27.78%
Relationship - Activity Partner 9 3 25.00%
Body Type - Big & Tall/BBW 4 1 20.00%
Marital Status - Separated 5 1 16.67%
Education - Graduate Degree 15 3 16.67%
Drinking - Often 29 4 12.12%
Education - Some University 37 5 11.91%
Drinking - NA 30 4 11.77%
Relationship - Intimate Encounter 31 4 11.43%
Income - 150,000+ 17 2 10.53%
Marital Status - Divorced 9 1 10.00%
Education - Associates Degree 50 5 9.09%
Intent - Serious and want to find someone to marry 23 2 8.00%
Income - 75,001 to 100,000 12 1 7.69%
Intent - NA 37 2 5.13%
His Ending Campaign Stats Are:
Spent $261.37
Clicks 1059
CPC $0.2468
CTR 0.218%
Conversions 149
Conversion Rate 14.069%
Revenue $484.25
Profit/Loss $222.88
How does he gather all that independent data only having spent $261 Dollars?
I’m so confused! Thoughts, ideas, how are other people doing it?
Case Study: Using POF Conversion Tracking to weed out non-converters. | RileyPool.com
Case Study: Using POF Conversion Tracking to weed out non-converters. | RileyPool.com
Case Study: Using POF Conversion Tracking to weed out non-converters – Phase 2 | RileyPool.com
He starts out with:
Images: 103
Ad Copies: 1
So 103 images with the same headline and same body text
At the base he’s testing:
Gender: Male
Age : 18-24
Login Count – 1-50
In one of his comments, he says he’s down to about 70% of the images after about a day or two or testing, so let’s just go with 70 to make things simple.
Using those 70 images, he then goes on to split test ALL of the following items below, he has conversion rates for EACH of the variables, which would lead me to believe that he’s testing each item independently. There are roughly 50 demographic variables listed below, times that by the number of images(70), that means we have roughly 3500 ads to test. What the F*ck!?!
Targeting Criteria Clicks* Conversions Conversion Ratio[/B]
Car - No 59 17 22.37%
Smoke - Often 67 17 20.24%
Education - High School 236 58 19.73%
Body Type - Didnt Answer 41 10 19.61%
Intent - Looking for casual dating/No commitment 88 19 17.76%
Relationship - Other Relationship 29 6 17.14%
Relationship - Friends 34 7 17.07%
Intent - Want a relationship 300 58 16.20%
Relationship - Long Term 104 19 15.45%
Car - NA 84 15 15.15%
Income - Less Than 25,000 293 50 14.58%
Income - 25,001 to 35,000 172 29 14.43%
Drinking - Socially 488 82 14.39%
Income - 50,001 to 75,000 48 8 14.29%
Country - USA 663 109 14.12%
Marital Status - Single 651 107 14.12%
Male - Age 18-30 663 109 14.08%
Body Type - Average 190 31 14.03%
Body Type - Slightly Overweight 37 6 13.95%
Income - 35,001 to 50,000 105 17 13.93%
Drinking - No 118 19 13.87%
Smoke - Occasionally 138 22 13.75%
Body Type - Athletic 333 52 13.51%
Relationship - Hang Out 91 14 13.33%
Smoke - No 459 70 13.23%
Body Type - Thin 60 9 13.04%
Car - Yes 522 77 12.86%
Relationship - Dating 354 51 12.59%
Intent - Putting in serious effort to find someone 67 9 11.84%
Intent - Want to date but nothing serious 150 19 11.24%
Education - Some College 257 31 10.76%
Education - Bachelors Degree 68 6 8.11%
Income - 100,001 to 150,000 3 2 40.00%
Education - Masters Degree 2 1 33.33%
Relationship - Talk/E-mail 13 5 27.78%
Relationship - Activity Partner 9 3 25.00%
Body Type - Big & Tall/BBW 4 1 20.00%
Marital Status - Separated 5 1 16.67%
Education - Graduate Degree 15 3 16.67%
Drinking - Often 29 4 12.12%
Education - Some University 37 5 11.91%
Drinking - NA 30 4 11.77%
Relationship - Intimate Encounter 31 4 11.43%
Income - 150,000+ 17 2 10.53%
Marital Status - Divorced 9 1 10.00%
Education - Associates Degree 50 5 9.09%
Intent - Serious and want to find someone to marry 23 2 8.00%
Income - 75,001 to 100,000 12 1 7.69%
Intent - NA 37 2 5.13%
His Ending Campaign Stats Are:
Spent $261.37
Clicks 1059
CPC $0.2468
CTR 0.218%
Conversions 149
Conversion Rate 14.069%
Revenue $484.25
Profit/Loss $222.88
How does he gather all that independent data only having spent $261 Dollars?
I’m so confused! Thoughts, ideas, how are other people doing it?