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rocinante
rocinante
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This is not a statistics problem but. It is a dynamic optimization problem. You want to maximize your ad revenue, subject to the constraint that you only have X to spend and the placement of each ad costs Y.

Moreover, I think you need to revisit the assumption that the ads that are profitable in one month will continue to be profitable subsequent months. Aside from a few outliers, ads lose their effectiveness over time - which means that this is another constraint in your optimization problem.

If this is a real-life problem and not just a mental exercise, youyour best bet is to hire someone to do it. Kaggle, Innocentive, Elance are just some companies that have a database of reputable data scientist freelancers who can do this for you. (I don't represent any of the companies listed, and with some searching I think you can find others as well.)

This is not a statistics problem but a dynamic optimization problem. You want to maximize your ad revenue, subject to the constraint that you only have X to spend and the placement of each ad costs Y.

Moreover, I think you need to revisit the assumption that the ads that are profitable in one month will continue to be profitable subsequent months. Aside from a few outliers, ads lose their effectiveness over time - which means that this is another constraint in your optimization problem.

If this is a real-life problem and not just a mental exercise, you best bet is to hire someone to do it. Kaggle, Innocentive, Elance are just some companies that have a database of reputable data scientist freelancers who can do this for you. (I don't represent any of the companies listed, and with some searching I think you can find others as well.)

This is not a statistics problem. It is a dynamic optimization problem. You want to maximize your ad revenue, subject to the constraint that you only have X to spend and the placement of each ad costs Y.

Moreover, I think you need to revisit the assumption that the ads that are profitable in one month will continue to be profitable subsequent months. Aside from a few outliers, ads lose their effectiveness over time - which means that this is another constraint in your optimization problem.

If this is a real-life problem and not just a mental exercise, your best bet is to hire someone to do it. Kaggle, Innocentive, Elance are just some companies that have a database of reputable data scientist freelancers who can do this for you. (I don't represent any of the companies listed, and with some searching I think you can find others as well.)

Source Link
rocinante
rocinante
  • 661
  • 5
  • 11

This is not a statistics problem but a dynamic optimization problem. You want to maximize your ad revenue, subject to the constraint that you only have X to spend and the placement of each ad costs Y.

Moreover, I think you need to revisit the assumption that the ads that are profitable in one month will continue to be profitable subsequent months. Aside from a few outliers, ads lose their effectiveness over time - which means that this is another constraint in your optimization problem.

If this is a real-life problem and not just a mental exercise, you best bet is to hire someone to do it. Kaggle, Innocentive, Elance are just some companies that have a database of reputable data scientist freelancers who can do this for you. (I don't represent any of the companies listed, and with some searching I think you can find others as well.)