INTRADAY MODELING TO ADJUST ONLINE AD DISTRIBUTION

1 . A method for distributing online ads with electronic content according to a campaign strategy that is adjusted based on intraday modeling, the method comprising:

determining a campaign strategy for a current day, the campaign strategy allocating a daily budget to automatically bid on online ad opportunities for the online ads using allocated budget amounts;

distributing online ads with electronic content during a first portion of the current day according to the campaign strategy for the current day;

receiving current day data regarding use of the distributed online ads by individuals to whom the distributed online ads were distributed during the first portion of the current day;

comparing the current day data to historical data to determine a correction factor that accounts for a magnitude of difference between the current day data and the historical data;

adjusting the campaign strategy for the current day using the correction factor; and

distributing additional online ads with electronic content during a second portion of the current day according to the adjusted campaign strategy for the current day, the second portion of the current day later than the first portion of the current day.

2 . The method of claim 1 , wherein adjusting the campaign strategy comprises adjusting prediction estimates for the current day using the correction factor.

3 . The method of claim 1 , wherein adjusting the campaign strategy comprises adjusting predictions of clicks or cost per clicks for online ads for the current day using the correction factor.

4 . The method of claim 1 , wherein adjusting the campaign strategy comprises using campaign level click and cost trends and using the trends as proxies for ad level trends.

5 . The method of claim 1 , wherein adjusting the campaign strategy comprises adjusting predictions of clicks or cost per clicks for online ads for the current day using the correction factor, wherein the correction factor is based on a difference between a current day trend and a historical trend.

6 . The method of claim 1 , wherein adjusting the campaign strategy comprises optimizing Return on Investment (ROI) for the campaign strategy.

7 . The method of claim 1 , wherein adjusting the campaign strategy comprises optimizing for a remainder of the current day based on a remaining budget for the current day and interpolation of prediction estimates of clicks or cost per clicks for the remainder of the day.

8 . The method of claim 1 , wherein adjusting the campaign strategy comprises:

identifying a new daily budget for the remainder of the day; and

reallocating the new daily budget to automatically bid on keyword-based search engine, webpage, or social media online ad opportunities for the online ads.

9 . The method of claim 1 , wherein adjusting the campaign strategy comprises:

identifying a new daily budget for the remainder of the day based on identifying a portfolio budget or portfolio composition change for the campaign; and

reallocating the new daily budget to automatically bid on keyword-based search engine, webpage, or social media online ad opportunities for the online ads.

10 . The method of claim 1 , wherein adjusting the campaign strategy comprises:

identifying a new daily budget for the remainder of the day;

prioritizing keyword-based search engine, webpage, or social media online ad opportunities for the online ads on the basis of relative impact; and

reallocating the new daily budget to automatically bid on keyword-based search engine, webpage, or social media online ad opportunities for the online ads based on the prioritizing.

11 . The method of claim 1 , wherein adjusting the campaign strategy comprises considering a spend amount until a current time, a portfolio budget change, and a portfolio composition change to redistribute a remaining portion of the daily budget to keyword-based search engine, webpage, or social media online ad opportunities for the online ads.

12 . The method of claim 1 wherein the keyword-based search engine, webpage, or social media online ad opportunities comprise bids, wherein the method further comprises calculating an effective bid from multiple intraday bids for use in a daily click model that receives a single bid for a day for each online ad as input.

13 . A method for distributing online ads with electronic content according to a campaign strategy that is adjusted based on intraday modeling, the method comprising:

determining a campaign strategy for a current day allocating a daily budget to automatically bid on online ad opportunities for the online ads using allocated budget amounts;

automatically bidding on online ad opportunities to distribute online ads with electronic content during a first portion of the current day according to the campaign strategy for the current day;

receiving current day data regarding campaign level click and cost trends for the first portion of the current day;

adjusting the campaign strategy for the current day using the campaign level click and cost trends as proxies for ad level trends; and

distributing additional online ads with electronic content during a second portion of the current day according to the adjusted campaign strategy for the current day, the second portion of the current day later than the first portion of the current day.

14 . The method of claim 13 , wherein adjusting the campaign strategy comprises adjusting prediction estimates for the current day using a correction factor determined using the campaign level click and cost trends.

15 . The method of claim 13 , wherein adjusting the campaign strategy comprises adjusting predictions of clicks or cost per clicks for online ads for the current day, wherein the correction factor is based on a difference between a current day trend and a historical trend.

16 . The method of claim 13 , wherein adjusting the campaign strategy comprises optimizing Return on Investment (ROI) for the campaign strategy.

17 . The method of claim 13 , wherein adjusting the campaign strategy comprises optimizing for a remainder of the current day based on a remaining budget for the current day and interpolation of prediction estimates of clicks or cost per clicks for the remainder of the day.

18 . The method of claim 13 , wherein adjusting the campaign strategy comprises:

identifying a new daily budget for the remainder of the day based on identifying a portfolio budget or portfolio composition change for the campaign; and

reallocating the new daily budget to automatically bid on keyword-based search engine, webpage, or social media online ad opportunities for the online ads.

19 . A system comprising:

a processor for executing instructions stored in computer-readable medium on one or more devices,

a non-transitory computer-readable medium comprising instructions, wherein when executed by the processor, the instructions perform steps comprising:

determining a campaign strategy for a current day allocating a daily budget to automatically bid on online ad opportunities for online ads using allocated budget amounts;

distributing online ads with electronic content during a first portion of the current day according to the campaign strategy for the current day;

receiving current day data regarding use of the distributed online ads by individuals to whom the distributed online ads were distributed during the first portion of the current day;

comparing the current day data to historical data to determine a correction factor that accounts for a magnitude of difference between the current day data and the historical data;

adjusting the campaign strategy for the current day using the correction factor; and

distributing additional online ads with electronic content during a second portion of the current day according to the adjusted campaign strategy for the current day, the second portion of the current day later than the first portion of the current day.

20 . The system of claim 19 , wherein adjusting the campaign strategy comprises using campaign level click and cost trends and using the trends as proxies for ad level trends.