Your achievements

Level 1

0% to

Level 2

Tip /
Sign in

Sign in to Community

to gain points, level up, and earn exciting badges like the new
BedrockMission!

Learn More

View all

Sign in to view all badges

How much model coverage is adequate?

Avatar

Avatar
Validate 100
Employee
Community_Admin
Employee

Likes

47 likes

Total Posts

269 posts

Correct Reply

118 solutions
Top badges earned
Validate 100
Validate 50
Validate 25
Validate 10
Validate 1
View profile

Avatar
Validate 100
Employee
Community_Admin
Employee

Likes

47 likes

Total Posts

269 posts

Correct Reply

118 solutions
Top badges earned
Validate 100
Validate 50
Validate 25
Validate 10
Validate 1
View profile
Community_Admin
Employee

15-10-2015

How much model coverage is adequate?

Accepted Solutions (1)

Accepted Solutions (1)

Avatar

Avatar
Validate 100
Employee
Community_Admin
Employee

Likes

47 likes

Total Posts

269 posts

Correct Reply

118 solutions
Top badges earned
Validate 100
Validate 50
Validate 25
Validate 10
Validate 1
View profile

Avatar
Validate 100
Employee
Community_Admin
Employee

Likes

47 likes

Total Posts

269 posts

Correct Reply

118 solutions
Top badges earned
Validate 100
Validate 50
Validate 25
Validate 10
Validate 1
View profile
Community_Admin
Employee

15-10-2015

The necessary amount of cost model coverage and revenue model coverage is qualitative and varies by portfolio; in general, the portfolio needs a reasonable number of bid units with cost models and revenue models relative to the portfolio budget. For example, a portfolio with a daily budget of $10,000 and only 10 bid units with models would not have enough coverage unless the portfolio contains only brand ads/keywords. If the same portfolio has several million bid units and only 1% cost model coverage and .05% revenue model coverage, it would not have enough revenue model coverage, but you may be able to increase the revenue coverage by setting reasonably high bids for the bid units that have cost model coverage to see if they subsequently earn revenue (thereby creating revenue models that help AdLens predict future revenue).

Answers (0)