+2 votes

One of the challenges w/ campaigns like this is that waiting for statistical significance can quickly become very expensive. 

If we’re running 4 creatives in an ad set w/ CPA of ~$100, it could take a few thousand dollars before you can make a call on whether the creatives are performing or not.

I’ll share how we’re approaching this - would love to get any inputs from you guys:

-> If an ad or ad set or campaign gets to $200 in spend(2x the CPA) with no purchases OR 3 days in a row with no purchases, pause it. 

In the above: 

a. if an ad performed well in the past, then duplicate it and try again.

b. if an ad set/campaign performed well in the past, then add a new creative into the ad set/campaign to reset the learning phase.


We’re also leaning increasingly into broad campaigns with value optimization so as to ensure broad reach and access to high value users.


I’m curious: what else should we be thinking of or doing?

by (2.4k points)

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